@article{munch2025comparative,
  title={Comparative Assessment of Large Language Models for Microbial Phenotype Annotation},
  author={M{\"u}nch, Philipp C and Safaei, Nasim and Mreches, Ren{\'e} and Binder, Martin and Han, Yichen and Robertson, Gary and Franzosa, Eric A and Huttenhower, Curtis and McHardy, Alice C},
  journal={bioRxiv},
  pages={2025--11},
  year={2025},
  publisher={Cold Spring Harbor Laboratory},
  url          = {<br> <a href="https://www.biorxiv.org/content/10.1101/2025.11.24.690272.abstract">link</a> | <a href="https://www.biorxiv.org/content/10.1101/2025.11.24.690272.full.pdf">pdf</a>}
}

@incollection{mlr3booksequential,
  title        = {Sequential Pipelines},
  author       = {Binder, Martin and Pfisterer, Florian},
  booktitle    = {Applied Machine Learning Using {mlr3} in {R}},
  editors      = {Bischl, Bernd and Sonabend, Raphael and Kotthoff, Lars and Lang, Michel},
  year         = {2024},
  month        = {January},
  day          = {18},
  pages        = {163--173},
  doi          = {10.1201/9781003402848-7},
  url = {<br> <a href="https://mlr3book.mlr-org.com/chapters/chapter7/sequential_pipelines.html">link</a>},
  tag          = {RSE}
}

@incollection{mlr3booknonsequential,
  title        = {Non-sequential Pipelines and Tuning},
  author       = {Binder, Martin and Pfisterer, Florian and Becker, Marc and Wright, Marvin N.},
  booktitle    = {Applied Machine Learning Using {mlr3} in {R}},
  editors      = {Bischl, Bernd and Sonabend, Raphael and Kotthoff, Lars and Lang, Michel},
  year         = {2024},
  month        = {January},
  day          = {18},
  pages        = {174--195},
  doi          = {10.1201/9781003402848-8},
  url = {<br> <a href="https://mlr3book.mlr-org.com/chapters/chapter8/non-sequential_pipelines_and_tuning.html">link</a>},
  tag          = {RSE}
}

@article{becker2026mlr3mbo,
  title={mlr3mbo: Bayesian Optimization in R},
  author={Becker, Marc and Schneider, Lennart and Binder, Martin and Kotthoff, Lars and Bischl, Bernd},
  url = {<br> <a href="https://arxiv.org/abs/2512.17111">link</a>|<a href="https://arxiv.org/pdf/2512.17111">pdf</a>},
  year={2026},
  journal = {arXiv preprint arXiv:2603.29730},
  url          = {<br> <a href="https://arxiv.org/abs/2603.29730">link</a> | <a href="https://arxiv.org/pdf/2603.29730.pdf">pdf</a>},
  tag = {AutoML, RSE}
}

@article{ewald2026cashomon,
  title={CASHomon Sets: Efficient Rashomon Sets Across Multiple Model Classes and their Hyperparameters},
  author={{Ewald*}, Fiona Katharina and {Binder*}, Martin and Feurer, Matthias and Bischl, Bernd and Casalicchio, Giuseppe},
  journal={arXiv preprint arXiv:2603.15321},
  url          = {<br> <a href="https://arxiv.org/abs/2603.15321">link</a> | <a href="https://arxiv.org/pdf/2603.15321.pdf">pdf</a>},
  year={2026},
  tag = {AutoML, IML}
}

@inproceedings{chatterjee-etal-2026-gendershift,
    title = "Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan",
    author = {Chatterjee, Ahan and Sch{\"o}ffel, Matthias  and A{\ss}enmacher, Matthias and Garces Arias, Esteban},
    booktitle = "Accepted to the 6th International Conference on Natural Language Processing for Digital Humanities",
    year = "2026",
    date = {2026-05-06},
    tag={nlp}
}

@inproceedings{ozeren-assenmacher-2026-reinforcement,
    title = "Reinforcement Learning for Latent-Space Thinking in {LLM}s",
    author = {{\"O}zeren, Enes  and      Assenmacher, Matthias},
    booktitle = "Proceedings of the 11th Edition of the {S}wiss Text Analytics Conference",
    year = "2026",
    date = {2026-06-10},
    address = "Zurich, Switzerland",
    pages = "1--16",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2026.swisstext-1.1/">link</a>|<a href="https://aclanthology.org/2026.swisstext-1.1.pdf">pdf</a>},
    tag={nlp} 
}

@inproceedings{loss-etal-2026-enhancing,
    title = "Enhancing Retrieval via Cognitively Motivated Document Expansion",
    author = "Loss, Giacomo  and      Stephan, Andreas  and      Assenmacher, Matthias",
    booktitle = "Proceedings of the 11th Edition of the {S}wiss Text Analytics Conference",
    year = "2026",
    date = {2026-06-10},
    address = "Zurich, Switzerland",
    publisher = "Association for Computational Linguistics",
    pages = "17--28",
    url = {<br> <a href="https://aclanthology.org/2026.swisstext-1.2/">link</a>|<a href="https://aclanthology.org/2026.swisstext-1.2.pdf">pdf</a>},
    tag={nlp} 
}

@inproceedings{chen-etal-2026-efficient,
    title = "An Efficient Approach for Answering Not Readily Attainable Questions for {RAG}-based Applications",
    author = "Chen, Zhengdao  and      Heumann, Christian  and      Assenmacher, Matthias",
    booktitle = "Proceedings of the 11th Edition of the {S}wiss Text Analytics Conference",
    year = "2026",
    date = {2026-06-10},
    address = "Zurich, Switzerland",
    publisher = "Association for Computational Linguistics",
    pages = "29--51",
    url = {<br> <a href="https://aclanthology.org/2026.swisstext-1.3/">link</a>|<a href="https://aclanthology.org/2026.swisstext-1.3.pdf">pdf</a>},
    tag={nlp} 
}

@inproceedings{sarawgi2025digitizingnepalswrittenheritage,
      title={Digitizing Nepal's Written Heritage: A Comprehensive HTR Pipeline for Old Nepali Manuscripts}, 
      author={Anjali Sarawgi and Esteban Garces Arias and Christof Zotter},
      year={2026},
      date = {2026-04-09},
      url = {<br> <a href="https://arxiv.org/abs/2512.17111">link</a>|<a href="https://arxiv.org/pdf/2512.17111">pdf</a>},
      tag={nlp}, 
}

@inproceedings{ding2026mink,
	title={Min-k Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics},
	author={Ding, Yuanhao and Li, Meimingwei and Garces Arias, Esteban and A{\ss}enmacher, Matthias and Heumann, Christian and Zhang, Chongsheng},
    booktitle = "Accepted to: ACL 2026 (Main)",
    year = "2026",
    date = {2026-04-09},
    url = {<br> <a href="https://arxiv.org/abs/2604.11012">link</a>|<a href="https://arxiv.org/pdf/2604.11012">pdf</a>},
    tag={nlp}, 
}

@inproceedings{zhang2026selfreinforcingcontrollablesynthesisrare,
      title={Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration}, 
      author={Chongsheng Zhang and Hao Wang and Zelong Yu and Esteban Garces Arias and Julian Rodemann and Zhanshuo Zhang and Qilong Li and Gaojuan Fan and Krikamol Muandet and Christian Heumann},
      booktitle = "Accepted to: ACL 2026 (Findings)",
      year={2026},
      date = {2026-04-09},
      url = {<br> <a href="https://arxiv.org/abs/2604.16817">link</a>|<a href="https://arxiv.org/pdf/2604.16817">pdf</a>},
      tag={nlp}, 
}

@proceedings{teachingnlp-2026-1,
    title = "Proceedings of the Seventh Workshop on Teaching Natural Language Processing ({T}each{NLP} 2026)",
    editor = {A{\ss}enmacher, Matthias  and      Biester, Laura  and      Borg, Claudia  and      Kov{\'a}cs, Gy{\"o}rgy  and      Mieskes, Margot  and      Serrano, Sofia},
    month = mar,
    year = "2026",
    date = {2026-03-29},
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2026.teachingnlp-1.0/">link</a>|<a href="https://aclanthology.org/2026.teachingnlp-1.0.pdf">pdf</a>},
    tag={nlp} 
}

@inproceedings{zehle-assenmacher-2026-calibration,
    title = "Can Calibration of Positional Encodings Enhance Long Context Utilization?",
    author = "Zehle, Tom  and      A{\ss}enmacher, Matthias",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {EACL} 2026",
    month = mar,
    year = "2026",
    date = {2026-03-25},
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
      url = {<br> <a href="https://aclanthology.org/2026.findings-eacl.120/">link</a>|<a href="https://aclanthology.org/2026.findings-eacl.120.pdf">pdf</a>},
    pages = "2268--2280",
    tag={nlp} 
}

@inproceedings{zehle-etal-2026-promptolution,
    title = "promptolution: A Unified, Modular Framework for Prompt Optimization",
    author = "Zehle, Tom  and      Hei{\ss}, Timo  and      Schlager, Moritz  and      A{\ss}enmacher, Matthias  and      Feurer, Matthias",
    booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
    month = mar,
    year = "2026",
    date = {2026-03-25},
    address = "Rabat, Marocco",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2026.eacl-demo.21/">link</a>|<a href="https://aclanthology.org/2026.eacl-demo.21.pdf">pdf</a>},
    pages = "282--296",
    tag={nlp,AutoML} 
}

@article{GARTHEN2026103682,
title = {Distance-based population density estimates from camera traps: Strong impact of technical choices in automated pipelines},
journal = {Ecological Informatics},
volume = {95},
pages = {103682},
year = {2026},
issn = {1574-9541},
tag={Consulting},
date = {2026-03-16},
doi = {https://doi.org/10.1016/j.ecoinf.2026.103682},
url = {<br> <a href="https://www.sciencedirect.com/science/article/pii/S1574954126000889">link</a>},
author = {Phil Garthen and Hari Surya Charan Mudragada and Stefanie Schwarz and Hendrik Edelhoff and Manuel J. Steinbauer and Wibke Peters and Kagan Kuecuekaytekin and Ludwig Bothmann},
}

@inproceedings{juliusemanuel1,
  title={On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors},
  author={Kobialka, Julius and Sommer, Emanuel and Kolb, Chris and Kwon, Juntae and Dold, Daniel and R\"ugamer, David},
  year={2026},
  booktitle = {The 29th International Conference on Artificial Intelligence and Statistics (AISTATS)},
  series =  {Proceedings of Machine Learning Research},
  publisher = {PMLR}
}

@article{xuDeepGenerativeModels2026a,
  title = {Deep Generative Models in Digital Subtraction Angiography ({{DSA}}) and {{X-ray}} Angiography: A Systematic Review},
  shorttitle = {Deep Generative Models in Digital Subtraction Angiography ({{DSA}}) and {{X-ray}} Angiography},
  author = {Xu, Qiwen and R{\"u}gamer, David and Bender, Andreas and Maros, M{\'a}t{\'e} E.},
  year = 2026,
  journal = {Artificial Intelligence Review},
  volume = {59},
  number = {2},
  doi = {10.1007/s10462-026-11498-6},
  langid = {english},
  tag={genai, Consulting},
  url = {<br> <a href="https://link.springer.com/article/10.1007/s10462-026-11498-6">link</a>|<a href="https://rdcu.be/eZZTJ">pdf</a>},
}

@inproceedings{ozerenEnhancingTrafficAccident2026,
  title = {Enhancing {{Traffic Accident Classifications}}: {{Application}} of {{NLP Methods}} for {{City Safety}}},
  shorttitle = {Enhancing {{Traffic Accident Classifications}}},
  booktitle = {Machine {{Learning}} and {{Knowledge Discovery}} in {{Databases}}. {{Applied Data Science Track}} and {{Demo Track}}},
  author = {{\"O}zeren, Enes and Ulbrich, Alexander and Filimon, Sascha and R{\"u}gamer, David and Bender, Andreas},
  editor = {Dutra, In{\^e}s and Pechenizkiy, Mykola and Cortez, Paulo and Pashami, Sepideh and Pasquali, Arian and Moniz, Nuno and Jorge, Al{\'i}pio M. and Soares, Carlos and Abreu, Pedro H. and Gama, Jo{\~a}o},
  year = 2026,
  pages = {180--195},
  publisher = {Springer Nature Switzerland},
  address = {Cham},
  doi = {10.1007/978-3-032-06129-4_11},
  isbn = {978-3-032-06129-4},
  langid = {english},
  keywords = {City Safety,Few-Shot Learning,Topic Modeling},
  tag={nlp, Consulting},
  url = {<br> <a href="https://link.springer.com/chapter/10.1007/978-3-032-06129-4_11">link</a>|<a href="https://link.springer.com/content/pdf/10.1007/978-3-032-06129-4_11.pdf?pdf=inline%20link">pdf</a>},
}

@article{walterPredictiveModelingStep2025a,
  title = {Predictive Modeling for Step {{II}} Therapy Response in Periodontitis - Model Development and Validation},
  author = {Walter, Elias and Brock, Tobias and Lahoud, Pierre and Werner, Nils and Czaja, Felix and Tichy, Antonin and Bumm, Caspar and Bender, Andreas and Castro, Ana and Teughels, Wim and Schwendicke, Falk and Folwaczny, Matthias},
  year = 2025,
  month = jul,
  journal = {npj Digital Medicine},
  volume = {8},
  number = {1},
  pages = {445},
  publisher = {Nature Publishing Group},
  issn = {2398-6352},
  doi = {10.1038/s41746-025-01828-3},
  copyright = {2025 The Author(s)},
  langid = {english},
  keywords = {Outcomes research,Periodontitis},
  tag={Consulting},
  url = {<br> <a href="https://www.nature.com/articles/s41746-025-01828-3">link</a>|<a href="https://www.nature.com/articles/s41746-025-01828-3.pdf">pdf</a>},
}

@article{santhanamMachineLearningbasedForecasting2025a,
  title = {Machine Learning-Based Forecasting of Daily Acute Ischemic Stroke Admissions Using Weather Data},
  author = {Santhanam, Nandhini and Kim, Hee E. and R{\"u}gamer, David and Bender, Andreas and Muthers, Stefan and Cho, Chang Gyu and Alonso, Angelika and Szabo, Kristina and Centner, Franz-Simon and Wenz, Holger and Ganslandt, Thomas and Platten, Michael and Groden, Christoph and Neumaier, Michael and Siegel, Fabian and Maros, M{\'a}t{\'e} E.},
  year = 2025,
  month = apr,
  journal = {npj Digital Medicine},
  volume = {8},
  number = {1},
  pages = {225},
  publisher = {Nature Publishing Group},
  issn = {2398-6352},
  doi = {10.1038/s41746-025-01619-w},
  copyright = {2025 The Author(s)},
  langid = {english},
  keywords = {Environmental health,Health care,Stroke},
  tag={Consulting},
  url = {<br> <a href="https://www.nature.com/articles/s41746-025-01619-w">link</a>|<a href="https://www.nature.com/articles/s41746-025-01619-w.pdf">pdf</a>},
}

@article{fischerMlr3extralearnersExpandingMlr32025a,
  title = {mlr3extralearners: {{Expanding}} the Mlr3 {{Ecosystem}} with {{Community-Driven Learner Integration}}},
  shorttitle = {mlr3extralearners},
  author = {Fischer, Sebastian and Zobolas, John and Sonabend, Raphael and Becker, Marc and Lang, Michel and Binder, Martin and Schneider, Lennart and Burk, Lukas and Schratz, Patrick and Jaeger, Byron C. and Lauer, Stephen A. and Kapsner, Lorenz A. and M{\"u}cke, Maximilian and Wang, Zezhi and Pulatov, Damir and Ganz, Keenan and Funk, Henri and Harutyunyan, Liana and Camilleri, Pierre and Kopper, Philipp and Bender, Andreas and Bischl, Bernd and Zhou, Baisu and German, Niko and Koers, Lona and Nazarova, Anna},
  year = 2025,
  month = nov,
  journal = {Journal of Open Source Software},
  volume = {10},
  number = {115},
  pages = {8331},
  issn = {2475-9066},
  doi = {10.21105/joss.08331},
  langid = {english},
  tag={automl, rse},
  url = {<br> <a href="https://joss.theoj.org/papers/10.21105/joss.08331">link</a>|<a href="https://joss.theoj.org/papers/10.21105/joss.08331.pdf">pdf</a>},
}

@article{burkHighDimensionalVariableSelection2025a,
  title = {High-{{Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression}}},
  author = {Burk, Lukas and Bender, Andreas and Wright, Marvin N.},
  year = 2025,
  journal = {Biometrical Journal},
  volume = {67},
  number = {1},
  pages = {e70036},
  issn = {1521-4036},
  doi = {10.1002/bimj.70036},
  copyright = {\copyright{} 2025 Wiley-VCH GmbH.},
  langid = {english},
  keywords = {competing risks,Cox regression,high-dimensional data analysis,penalized regression,variable selection},
  tag={Survival},
  url = {<br> <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/bimj.70036">link</a>|<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/bimj.70036">pdf</a>},
}


@inproceedings{chemery2026agesex,
      title={Beyond Off-the-Shelf Models: A Lightweight and Accessible Machine Learning Pipeline for Ecologists Working with Image Data}, 
      author={Clare Chemery and Hendrik Edelhoff and Ludwig Bothmann},
      year={2026},
      date = {2026-01-22},
      booktitle={arXiv preprint 2601.15813},
      url = {<br> <a href="https://arxiv.org/abs/2601.15813">link</a>|<a href="https://arxiv.org/pdf/2601.15813">pdf</a>},
      tag={causal-fair,Consulting} 
}

@Inbook{Dandl2025,
author="Dandl, Susanne
and Bischl, Bernd
and Bothmann, Ludwig",
editor="Dumpert, Florian",
title="Interpretable Machine Learning for Official Statistics",
bookTitle="Foundations and Advances of Machine Learning in Official Statistics",
    date = {2025-12-15},
publisher="Springer Nature Switzerland",
address="Cham",
pages="91--100",
isbn="978-3-032-10004-7",
doi="10.1007/978-3-032-10004-7_5",
url="https://doi.org/10.1007/978-3-032-10004-7_5",
tag={causal-fair}
}

@inproceedings{urchs-etal-2025-fair,
    title = "Fair Play in the Newsroom: Actor-Based Filtering Gender Discrimination in Text Corpora",
    author = "Urchs, Stefanie  and  Thurner, Veronika  and  A{\ss}enmacher, Matthias  and   Heumann, Christian  and   Thiemichen, Stephanie",
    booktitle = "Proceedings of the 5th Workshop on Evaluation and Comparison of NLP Systems",
    month = dec,
    year = "2025",
    date = {2025-12-23},
    address = "Mumbai, India",
    publisher = "Association for Computational Linguistics",
    pages = "55--65",
    url = {<br> <a href="https://aclanthology.org/2025.eval4nlp-1.5">link</a>|<a href="https://aclanthology.org/2025.eval4nlp-1.5.pdf">pdf</a>},
      tag={nlp,causal-fair} 
}

@inproceedings{garces-arias-etal-2025-geometry,
    title = "The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models",
    author = "Garces Arias, Esteban  and        Rodemann, Julian  and       Heumann, Christian",
    booktitle = "Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025)",
    month = nov,
    year = "2025",
    date = {2025-11-10},
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    pages = "36--50",
    url = {<br> <a href="https://aclanthology.org/2025.uncertainlp-main.5/">link</a>|<a href="https://aclanthology.org/2025.uncertainlp-main.5.pdf">pdf</a>},
    tag={nlp} 
}

@inproceedings{amin-assenmacher-2025-companies,
    title = {{Do Companies Reveal Their Own Fraud? - A Novel Data Set for Fraud Detection Based on 10-K Reports}},
    author={Moustafa Amin and Matthias Aßenmacher},
    booktitle = "Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing",
    date = {2025-11-09},
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2025.finnlp-2.10/">link</a>|<a href="https://aclanthology.org/2025.finnlp-2.10.pdf">pdf</a>},
    doi = "10.18653/v1/2025.finnlp-2.10",
    pages = "148--166",
    tag={nlp} 
}

@inproceedings{gruber2025revisitingactivelearninghuman,
      title={Revisiting Active Learning under (Human) Label Variation},
      author={Cornelia Gruber and Helen Alber and Bernd Bischl and Göran Kauermann and Barbara Plank and Matthias Aßenmacher},
      date = {2025-11-08},
    booktitle = "Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP",
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2025.nlperspectives-1.7/">link</a>|<a href="https://aclanthology.org/2025.nlperspectives-1.7.pdf">pdf</a>},
    pages = "75--86",
      tag={nlp} 
}

@inproceedings{ding2025guard,
	title={{GUARD}: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation},
	author={Ding, Yuanhao and Garces Arias, Esteban and Li, Meimingwei and Rodemann, Julian and A{\ss}enmacher, Matthias and Chen, Danlu and Fan, Gaojuan and Heumann, Christian and Zhang, Chongsheng},
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    date = {2025-11-04},
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2025.findings-emnlp.380/">link</a>|<a href="https://aclanthology.org/2025.findings-emnlp.380.pdf">pdf</a>},
    pages = "7202--7226",
    tag={nlp}, 
}

@inproceedings{arias2025statisticalmulticriteriaevaluationllmgenerated,
      title={Statistical Multicriteria Evaluation of LLM-Generated Text}, 
      author={Garces Arias, Esteban and Blocher, Hannah and Rodemann, Julian and Aßenmacher, Matthias and Jansen, Christoph},
      year={2025},
      date = {2025-10-29},    
	  booktitle = "Proceedings of the 18th International Natural Language Generation Conference",
      address = "Hanoi, Vietnam",
      publisher = "Association for Computational Linguistics",
      pages = "338--351",
      url = {<br> <a href="https://aclanthology.org/2025.inlg-main.20/">link</a>|<a href="https://aclanthology.org/2025.inlg-main.20.pdf">pdf</a>},
      tag={nlp} 
}

@inproceedings{urchs2025gendersequaleyesalgorithms,
      title={Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness}, 
      author={Stefanie Urchs and Veronika Thurner and Matthias Aßenmacher and Ludwig Bothmann and Christian Heumann and Stephanie Thiemichen},
      year={2025},
      date = {2025-10-22},
      booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR},
	  pages={489-500},
      publisher={SciTePress},
      organization={INSTICC},
      doi={10.5220/0013835600004000},
      url = {<br> <a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=V1sZs6Zqvyc%3d&t=1">link</a>},
      tag={nlp,causal-fair} 
}

@article{felderer-sqp-2025,
  title={Predicting the validity and reliability of survey questions},
  author={Felderer, Barbara and Repke, Lydia and Weber, Wiebke and Schweisthal, Jonas and Bothmann, Ludwig},
  date = {2025-10-17},
  journal={Survey Research Methods}, 
  year = {2025},
  url = {<br> <a href="https://doi.org/10.31219/osf.io/hkngd">preprint link</a>},
  tag={causal-fair}
}

@inproceedings{rittel-2025-mlg-ecml,
	author    = {Simon Rittel and Sebastian Tschiatschek},
	title     = {Distributions over {DAG}s for Causal Discovery: Limitations of Expressiveness},
	booktitle = {22nd International Workshop on Mining and Learning with Graphs at the European Conference on Machine Learning},
	year      = {2025},
	url       = {<br> <a href="https://mlg-europe.github.io/2025/#accepted">link</a>|<a href="https://mlg-europe.github.io/2025/papers/cameraReady/272/CameraReady/Dist_DAGs_Causal_Discovery.pdf">pdf</a>},
	tag       = {causal-fair},
}

@inproceedings{kolb2025dgating,
	title={Differentiable Sparsity via D-Gating: Simple and Versatile Structured Penalization},
	author={Kolb, Chris and Frost, Laetitia, and Bischl, Bernd and R{\"u}gamer, David},
	booktitle={39th Conference on Neural Information Processing Systems (NeurIPS 2025)},
	year={2025},
	url = {<br> <a href="https://arxiv.org/pdf/2509.23898">link</a>|<a href="https://arxiv.org/pdf/2509.23898">pdf</a>},
	tag={prob}
}

@inproceedings{panagiotou2025tabfairgdt,
      title={TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees}, 
      author={Emmanouil Panagiotou and Benoît Ronval and Arjun Roy and Ludwig Bothmann and Bernd Bischl and Siegfried Nijssen and Eirini Ntoutsi},
      year={2025},
      date = {2025-08-25},
      booktitle={Accepted at ICDM'25: International Conference on Data Mining 2025},
      tag={causal-fair} 
}

@inproceedings{garces-arias-etal-2025-towards,
    title = "Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework",
    author = "Garces Arias, Esteban  and Blocher, Hannah  and Rodemann, Julian  and Li, Meimingwei  and Heumann, Christian  and  A{\ss}enmacher, Matthias",
    booktitle = "Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM^2)",
    month = jul,
    year = "2025",
    date = {2025-07-31},
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2025.gem-1.59/">link</a>|<a href="https://aclanthology.org/2025.gem-1.59.pdf">pdf</a>},
    pages = "631--654",
    tag={nlp}, 
}

@inproceedings{stephan-etal-2025-calculation,
    title = "From Calculation to Adjudication: Examining {LLM} Judges on Mathematical Reasoning Tasks",
    author = "Stephan, Andreas  and Zhu, Dawei  and A{\ss}enmacher, Matthias  and  Shen, Xiaoyu  and Roth, Benjamin",
    booktitle = "Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM^2)",
    month = jul,
    year = "2025",
    date = {2025-07-31},
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2025.gem-1.65/">link</a>|<a href="https://aclanthology.org/2025.gem-1.65.pdf">pdf</a>},
    pages = "759--773",
    tag={nlp}, 
}

@inproceedings{ma-etal-2025-algorithmic,
    title = "Algorithmic Fidelity of Large Language Models in Generating Synthetic {G}erman Public Opinions: A Case Study",
    author = "Ma, Bolei  and Yoztyurk, Berk  and Haensch, Anna-Carolina  and Wang, Xinpeng  and Herklotz, Markus  and Kreuter, Frauke  and Plank, Barbara  and A{\ss}enmacher, Matthias",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2025.acl-long.90/">link</a>|<a href="https://aclanthology.org/2025.acl-long.90/">pdf</a>},
    pages = "1785--1809",
    ISBN = "979-8-89176-251-0",
      date={2025-07-28},
      tag={nlp}, 
}

@inproceedings{urchs-etal-2025-taz2024full,
    title = "taz2024full: Analysing {G}erman Newspapers for Gender Bias and Discrimination across Decades",
    author = "Urchs, Stefanie  and Thurner, Veronika  and A{\ss}enmacher, Matthias  and Heumann, Christian  and Thiemichen, Stephanie",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2025.findings-acl.555/">link</a>|<a href="https://aclanthology.org/2025.findings-acl.555.pdf">pdf</a>},
    pages = "10661--10671",
    ISBN = "979-8-89176-256-5",
      date={2025-07-28},
      tag={nlp,causal-fair}, 
}

@article{debelakembeddings,
  title={From Embeddings to Explainability: A Tutorial on Transformer-Based Text Analysis for Social and Behavioral Scientists},
  author={Debelak, Rudolf and Koch, Timo and A{\ss}enmacher, Matthias and Stachl, Clemens},
  date = {2025-07-24},
  journal={Advances in Methods and Practices in Psychological Science}, 
  year = {2025},
  volume={8},
  number={3},
  url = {<br> <a href="https://doi.org/10.1177/25152459251351285">link</a>|<a href="https://journals.sagepub.com/doi/epub/10.1177/25152459251351285">pdf</a>},
  tag={nlp}
}

@article{bischl-patterns25a,
    author = {Bernd Bischl and Giuseppe Casalicchio and Taniya Das and Matthias Feurer and Sebastian Fischer and Pieter Gijsbers and Subhaditya Mukherjee and Andreas C. Müller and László Németh and Luis Oala and Lennart Purucker and Sahithya Ravi and Jan N. van Rijn and Prabhant Singh and Joaquin Vanschoren and Jos van der Velde and Marcel Wever},
    title = {OpenML: Insights from 10 years and more than a thousand papers},
    year = {2025},
    journal = {Patterns},
    volume = {6},
    url = {<br><a href="https://www.cell.com/patterns/fulltext/S2666-3899(25)00165-5">Link</a> | <a href="https://www.cell.com/cms/10.1016/j.patter.2025.101317/attachment/79a9a232-8912-4875-9096-e14d9c503301/mmc2.pdf">PDF</a>},
    tag = {RSE, EML}
}

@inproceedings{schöffel2025unveilingfactorsenhancedpos,
      title={Unveiling Factors for Enhanced POS Tagging: A Study of Low-Resource Medieval Romance Languages}, 
      author={Schöffel, Matthias and Garces Arias, Esteban and Wiedner, Marinus and Ruppert, Paula and Li, Meimingwei and Heumann, Christian and Aßenmacher, Matthias},
      year={2025},
      date = {2025-06-22},
      booktitle={arXiv preprint 2506.17715},
      url = {<br> <a href="https://arxiv.org/abs/2506.17715">link</a>|<a href="https://arxiv.org/pdf/2506.17715">pdf</a>},
      tag={nlp} 
}

@inproceedings{schneider-automl25a,
    author = {Lennart Schneider and Bernd Bischl and Matthias Feurer},
    title = {Overtuning in Hyperparameter Optimization},
    year = {2025},
    booktitle = {4th International Conference on Automated Machine Learning},
    url = {<br><a href="https://openreview.net/forum?id=ODD5YfFyfg">Link</a> | <a href="https://openreview.net/pdf?id=ODD5YfFyfg">PDF</a>},
    tag = {AutoML},
    note = {Recipient of the best paper award},
}

@inproceedings{koshil-trl25a,
    author = {Mykhailo Koshil and Matthias Feurer and Katharina Eggensperger},
    title = {In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning},
    year = {2025},
    booktitle = {ACL 2025 Workshop TRL},
    url = {<br><a href="https://openreview.net/forum?id=vLttpF8AOv">Link</a> | <a href="https://openreview.net/pdf?id=vLttpF8AOv">PDF</a>},
    tag = {Prob},
}

@article{benjamins-arxiv25a,
    author = {Carolin Benjamins and Helena Graf and Sarah Segel and Difan Deng and Tim Ruhkopf and Leona Hennig and Soham Basu and Neeratyoy Mallik and Edward Bergman and Deyao Chen and François Clément and Matthias Feurer and Katharina Eggensperger and Frank Hutter and Carola Doerr and Marius Lindauer},
    title = {carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks},
    year = {2025},
    journal = {arXiv:2506.06143 [cs.LG]},
    url = {<br><a href="https://arxiv.org/abs/2506.06143">arXiv</a> | <a href="https://arxiv.org/pdf/2506.06143">PDF</a> | <a href="https://www.github.com/automl/CARP-S">Code</a> | <a href="https://automl.space/carps-a-framework-for-comparing-n-hyperparameter-optimizers-on-m-benchmarks/">Blog</a>},
    tag = {AutoML},
}

@inproceedings{rundel-fpi25a,
    author = {David Rundel and Emanuel Sommer and Bernd Bischl and David Rügamer and Matthias Feurer},
    title = {Efficiently Warmstarting MCMC for BNNs},
    year = {2025},
    booktitle = {Workshop on  Frontiers in Probabilistic Inference: Learning meets Sampling at ICLR 2025},
    url = {<br><a href="https://openreview.net/forum?id=m4YbqJ0toQ">Link</a> | <a href="https://openreview.net/pdf?id=m4YbqJ0toQ">PDF</a>},
    tag = {AutoML,Prob}
}

@inproceedings{zehle-arxiv25a,
    author = {Tom Zehle and Moritz Schlager and Timo Heiß and Matthias Feurer},
    title = {CAPO: Cost-Aware Prompt Optimization},
    year = {2025},
    booktitle = {4th International Conference on Automated Machine Learning},
    url = {<br><a href="https://openreview.net/forum?id=UweaRrg9D0">Link</a> | <a href="https://openreview.net/pdf?id=UweaRrg9D0">PDF</a> | <a href="https://arxiv.org/abs/2504.16005">arXiv</a> | <a href="https://github.com/finitearth/capo">Code</a>},
    tag = {AutoML},
}

@inproceedings{rauch2025freelunchactivelearning,
      title={No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success}, 
      author={Lukas Rauch and Moritz Wirth and Denis Huseljic and Marek Herde and Bernhard Sick and Matthias Aßenmacher},
      year={2025},
      date={2025-05-18},
      booktitle={arXiv preprint 2506.01992},
      url = {<br> <a href="https://arxiv.org/abs/2506.01992">link</a>|<a href="https://arxiv.org/pdf/2506.01992">pdf</a>},
      tag={nlp}, 
}

@inproceedings{zhang2025obdfinderexplainablecoarsetofinetextcentric,
      title={OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery}, 
      author={Chongsheng Zhang and Shuwen Wu and Yingqi Chen and Matthias Aßenmacher and Christian Heumann and Yi Men and Gaojuan Fan and João Gama},
      year={2025},
      date={2025-05-04},
      booktitle={arXiv preprint 2505.03836},
      url = {<br> <a href="https://arxiv.org/abs/2505.03836">link</a>|<a href="https://arxiv.org/pdf/2505.03836">pdf</a>},
      tag={nlp}, 
}

@inproceedings{schoffel-etal-2025-modern,
    title = "Modern Models, Medieval Texts: A {POS} Tagging Study of Old {O}ccitan",
    author = {Sch{\"o}ffel, Matthias  and   Wiedner, Marinus  and   Garces Arias, Esteban  and  Ruppert, Paula  and  Heumann, Christian  and  A{\ss}enmacher, Matthias},
    booktitle = "Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities",
    month = may,
    year = "2025",
    date = {2025-05-04},
    address = "Albuquerque, USA",
    publisher = "Association for Computational Linguistics",
    pages = "334--349",
    url = {<br> <a href="https://aclanthology.org/2025.nlp4dh-1.30/">link</a>|<a href="https://aclanthology.org/2025.nlp4dh-1.30.pdf">pdf</a>},
    tag={nlp}
}

@inproceedings{mironov2025geoext,
      title={A Geoparsing Pipeline for Multilingual Social Media Posts from Ukraine}, 
      author={Maxim Mironov and Alexander Marquard and Daniel Racek and Christian Heumann and Paul W. Thurner and Matthias Aßenmacher},
      booktitle = "Proceedings of The GeoExT 2025: Geographic Information Extraction from Texts Workshop co-located with The 47th European Conference on Information Retrieval (ECIR)",
      address = "Lucca, Italy",
      year={2025},
      date = {2025-04-10},
      url = {<br> <a href="https://ceur-ws.org/Vol-3969/">link</a>|<a href="https://ceur-ws.org/Vol-3969/paper2.pdf">pdf</a>},
      tag={nlp}
}

@inproceedings{kolb2025differentiable,
	title={Differentiable Attention Sparsity via Structured D-Gating},
	author={Kolb, Chris and Bischl, Bernd and R{\"u}gamer, David},
	booktitle={Workshop on Sparsity in Large Language Models at ICLR 2025},
	year={2025},
	url = {<br> <a href="https://openreview.net/forum?id=IHgfw1NkZB">link</a>|<a href="https://openreview.net/pdf?id=IHgfw1NkZB">pdf</a>},
	tag={prob}
}

@article{burk2025highdimensionalvariable,
  title = {High-{{Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression}}},
  author = {Burk, Lukas and Bender, Andreas and Wright, Marvin N.},
  date = {2025},
  journaltitle = {Biometrical Journal},
  volume = {67},
  number = {1},
  pages = {e70036},
  issn = {1521-4036},
  doi = {10.1002/bimj.70036},
  langid = {english},
  keywords = {competing risks,Cox regression,high-dimensional data analysis,penalized regression,variable selection}
}


@inproceedings{
  kolb2025deep,
  title={Deep Weight Factorization: Sparse Learning Through the Lense of Artificial Symmetries},
  author={Kolb, Chris and Weber, Tobias, and Bischl, Bernd, and R{\"u}gamer, David},
  booktitle={The Thirteenth International Conference on Learning Representations (ICLR)},
  year={2025},
  url={<br><a href="https://openreview.net/forum?id=vNdOHr7mn5">link</a>},
  tag = {Prob}
}

@inproceedings{wimmer2025trust,
	title={Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning},
	author={Lisa Wimmer and Bernd Bischl and Ludwig Bothmann},
	booktitle={Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions at ICLR},
	year={2025},
	url={<br><a href="https://openreview.net/forum?id=Fpu8tQYfdq">link</a>|<a href="https://arxiv.org/pdf/2502.09137">pdf</a>},
	tag={causal-fair}
}

@article{surner2026ipairs,
	title={Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks}, 
      	author={Martin Surner and Abdelmajid Khelil and Ludwig Bothmann},
      	year={2026},
  	journaltitle = {Machine Learning},
	url= {<br><a href="https://arxiv.org/abs/2502.18975">preprint</a>},
	date={2026-05-29},
	tag={causal-fair}
}

@inproceedings{bothmann2026privscores,
	title={Privilege Scores}, 
	author={Ludwig Bothmann and Philip A. Boustani and Jose M. Alvarez and Giuseppe Casalicchio and Bernd Bischl and Susanne Dandl},
	year={2026},
  	booktitle = {The 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’26), June 25–28, 2026, Montreal, QC,
Canada},
	url= {<br><a href="https://doi.org/10.1145/3805689.3812340">link</a> | <a href="https://arxiv.org/abs/2502.01211">preprint</a>},
	date={2026-04-16},
	tag={causal-fair}
}

@article{leininger2025tradeoffs,
	title={Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective}, 
	author={Charlotte Leininger and Simon Rittel and Ludwig Bothmann},
	year={2025},
  	journaltitle = {EWAF’25: European Workshop on Algorithmic Fairness},
	url= {<br><a href="https://arxiv.org/abs/2501.14710">link</a>|<a href = "https://arxiv.org/pdf/2501.14710.pdf">pdf</a>},
	date={2025-05-05},
	tag={causal-fair}
}

@inproceedings{
  li2025calibrating,
  title={Calibrating {LLM}s with Information-Theoretic Evidential Deep Learning},
  author={Li, Yawei and R{\"u}gamer, David and Bischl, Bernd and Rezaei, Mina},
  booktitle={The Thirteenth International Conference on Learning Representations (ICLR)},
  year={2025},
  url={<br><a href="https://openreview.net/forum?id=YcML3rJl0N">link</a>},
}

@inproceedings{garces-arias-etal-2025-decoding,
    title = "Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation",
    author = "Garces Arias, Esteban  and  Li, Meimingwei  and  Heumann, Christian  and  Assenmacher, Matthias",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    date = {2025-01-24},
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    pages = "9992--10020",
    url = {<br> <a href="https://aclanthology.org/2025.coling-main.668/">link</a>|<a href="https://aclanthology.org/2025.coling-main.668.pdf">pdf</a>},
    tag={nlp}, 
}

@article{li2024dual,
  title={A Dual-Perspective Approach to Evaluating Feature Attribution Methods},
  author={Li*, Yawei and Zhang*, Yang and Kawaguchi, Kenji and Khakzar, Ashkan and Bischl, Bernd and Rezaei, Mina},
  journal={Transactions on Machine Learning Research (TMLR)},
  year={2024},
  date={2024-11-01}
}

@book{Bischl2024,
    title = {Applied Machine Learning Using {m}lr3 in {R}},
    editor = {Bernd Bischl and Raphael Sonabend and Lars Kotthoff and Michel Lang},
    url = {https://mlr3book.mlr-org.com},
    year = {2024},
    isbn = {9781032507545},
    publisher = {CRC Press}
}

@article{ferryIntroducingRecurrentEvent2024,
  title = {Introducing Recurrent Event Analyses to Assess Species Interactions Based on Camera-Trap Data: {{A}} Comparison with Time-to-First-Event Approaches},
  shorttitle = {Introducing Recurrent Event Analyses to Assess Species Interactions Based on Camera-Trap Data},
  author = {Ferry, Nicolas and Dupont, Pierre and Bender, Andreas and Heurich, Marco},
  year = {2024},
  journal = {Methods in Ecology and Evolution},
  volume = {15},
  number = {7},
  pages = {1233--1246},
  issn = {2041-210X},
  doi = {10.1111/2041-210X.14338},
  urldate = {2024-07-05},
  langid = {english},
  tag={Survival, Consulting, ecology}
}

@inproceedings{vahidi2024probabilistic,
  title={Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization},
  author={Vahidi, Amirhossein and Schosser, Simon and Wimmer, Lisa and Li, Yawei and Bischl, Bernd and H{\"u}llermeier, Eyke and Rezaei, Mina},
  booktitle={The Twelfth International Conference on Learning Representations (ICLR)},
  year={2024},
  url={<br> <a href="https://openreview.net/pdf?id=skcTCdJz0f">pdf</a>}
}

@article{li2024finercut,
  title={FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models},
  author={Zhang*, Yang and Li*, Yawei and Wang, Xinpeng and Shen, Qianli and Plank, Barbara and Bischl, Bernd and Rezaei, Mina and Kawaguchi, Kenji},
  journal={Compression Worshop at NeurIPS 2024},
  year={2024},
  url={<br> <a href="https://arxiv.org/abs/2405.18218">pdf</a>}
}

@inproceedings{stermann2024attention,
  title={Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings},
  author={Stermann, Fabian and Chalkidis, Ilias and Vahidi, Amihossein and Bischl, Bernd and Rezaei, Mina},
  booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)},
  pages={89--106},
  year={2024},
  organization={Springer},
}

@article{gunduz2024optimized,
  title        = {Optimized model architectures for deep learning on genomic data},
  author={G{\"u}nd{\"u}z, H{\"u}seyin Anil and Mreches, Ren{\'e} and Moosbauer, Julia and Robertson, Gary and To, Xiao-Yin and Franzosa, Eric A. and Huttenhower, Curtis and Rezaei, Mina and McHardy, Alice C. and Bischl, Bernd and M{\"u}nch, Philipp C. and Binder, Martin},
  year         = {2024},
  month        = {apr},
  day          = {30},
  journal      = {Communications Biology},
  volume       = 7,
  number       = 1,
  pages        = 516,
  doi          = {10.1038/s42003-024-06161-1},
  issn         = {2399--3642},
  tag          = {AutoML},
  publisher    = {Nature Publishing Group UK London},
  url          = {<br><a href="https://www.nature.com/articles/s42003-024-06161-1">link</a> | <a href = "https://www.nature.com/articles/s42003-024-06161-1.pdf">pdf</a>}
}

@inproceedings{assenmacher-etal-2024-introducing,
    title = "Introducing wwm-german-18k - Can {LLM}s Crack the Million? (Or Win at Least 500 Euros?)",
    author = "A{\ss}enmacher, Matthias  and Karrlein, Luis  and Schiele, Philipp  and Heumann, Christian",
    booktitle = "Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)",
    year={2024},
    date = {2024-10-19},
    address = "Trento",
    publisher = "Association for Computational Linguistics",
    url = {<br> <a href="https://aclanthology.org/2024.icnlsp-1.31">link</a>|<a href="https://aclanthology.org/2024.icnlsp-1.31.pdf">pdf</a>},
    pages = "287--296",
    tag={nlp}
}

@inproceedings{wuttke-etal-2025-ai,
    title = "{AI} Conversational Interviewing: Transforming Surveys with {LLM}s as Adaptive Interviewers",
    author={Alexander Wuttke and Matthias Aßenmacher and Christopher Klamm and Max M. Lang and Quirin Würschinger and Frauke Kreuter},
    booktitle = "Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025)",
    month = May,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    pages = "179--204",
    date = {2025-05-04},
    url = {<br> <a href="https://aclanthology.org/2025.latechclfl-1.17/">link</a>|<a href="https://aclanthology.org/2025.latechclfl-1.17.pdf">pdf</a>},
    tag={nlp}
}

@inproceedings{pavlopoulos-etal-2024-challenging,
    title = "Challenging Error Correction in Recognised Byzantine {G}reek",
    author = "Pavlopoulos, John  and Kougia, Vasiliki  and Garces Arias, Esteban  and Platanou, Paraskevi  and Shabalin, Stepan  and Liagkou, Konstantina  and Papadatos, Emmanouil  and
    Essler, Holger  and  Camps, Jean-Baptiste  and Fischer, Franz",
    booktitle = "Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)",
    date = {2024-08-14},
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.ml4al-1.1",
    pages = "1--12",
    url = {<br> <a href="https://aclanthology.org/2024.ml4al-1.1/">link</a>|<a href="https://aclanthology.org/2024.ml4al-1.1.pdf">pdf</a>},
    tag={nlp}
}


@InProceedings{karl24_icml,
  title = 	 {Position: Embracing Negative Results in Machine Learning},
  author =       {Florian Karl and Malte Kemeter and Gabriel Dax and Paulina Sierak},
  booktitle = 	 {Proceedings of the 41st International Conference on Machine Learning},
  pages = 	 {23256--23265},
  year = 	 {2024},
  volume = 	 {235},
  date = {2024-07-22},
  publisher =    {PMLR},
  url = 	 {  <br><a href="https://proceedings.mlr.press/v235/karl24a.html">Link</a> | <a href="https://arxiv.org/abs/2406.03980">arXiv</a>},
}

@inbook{Karl2024,
	author={Florian Karl and Janek Thomas and Jannes Elstner and Ralf Gross and Bernd Bischl},
	editor={Christopher Mutschler and Christian M{\"u}nzenmayer and Norman Uhlmann and Alexander Martin},
	title={Automated Machine Learning},
	bookTitle={Unlocking Artificial Intelligence: From Theory to Applications},
	year={2024},
	publisher={Springer Nature Switzerland},
	pages={3--25},
	url= {<br><a href="https://doi.org/10.1007/978-3-031-64832-8_1">Link</a> | <a href="https://link.springer.com/content/pdf/10.1007/978-3-031-64832-8_1.pdf">PDF</a>},
	tag = {AutoML},
}

@article{bergman-joss24a,
    author = {Edward Bergman and Matthias Feurer and Aron Bahram and Amir Rezaei Balef and Lennart Purucker and Sarah Segel and Marius Lindauer and Frank Hutter and Katharina Eggensperger},
    title = {AMLTK: A Modular AutoML Toolkit in Python},
    year = {2024},
    journal = {Journal of Open Source Software},
    volume = {9},
    number = {100},
    pages = {6367},
    url = {<br><a href="https://joss.theoj.org/papers/10.21105/joss.06367">Link</a> | <a href="https://www.theoj.org/joss-papers/joss.06367/10.21105.joss.06367.pdf">PDF</a> | <a href="https://github.com/automl/amltk">Code</a>},
    tag = {AutoML,RSE},
}

@inproceedings{salewimmeruai,
  	title={Label-wise Aleatoric and Epistemic Uncertainty Quantification},
	author={Yusuf Sale and Paul Hofman and Timo L\"ohr and Lisa Wimmer and Thomas Nagler and Eyke H\"ullermeier},
	year={2024},
	url = {<br><a href="https://arxiv.org/abs/2406.02354">link</a>|<a href = "https://arxiv.org/pdf/2406.02354">pdf</a>},
	date={2024},
	tag={Prob},
	booktitle={40th Conference on Uncertainty in Artificial Intelligence (UAI)}
}

@inproceedings{gregorlisaijcai,
  title        = {Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract)},
  author       = {Jonas Gregor Wiese and Lisa Wimmer and Theodore Papamarkou and Bernd Bischl and Stephan G\"unnemann and David R{\"u}gamer},
  year         = 2024,
  booktitle    = {33rd International Joint Conferences on Artificial Intelligence (IJCAI)},
  url          = {<br><a href="https://arxiv.org/abs/2304.02902">link</a>|<a href = "https://arxiv.org/pdf/2304.02902.pdf">pdf</a>},
  date         = {2024},
  tag          = {Prob}
}

@inproceedings{koshil-trl24a,
    author = {Mykhailo Koshil and Thomas Nagler and Matthias Feurer and Katharina Eggensperger},
    title = {Towards Localization via Data Embedding for TabPFN},
    year = {2024},
    booktitle = {NeurIPS 2024 Third Table Representation Learning Workshop},
    tag = {Prob},
    url = {<br><a href="https://openreview.net/forum?id=LFyQyV5HxQ#discussion">OpenReview</a> | <a href="https://openreview.net/pdf?id=LFyQyV5HxQ">PDF</a>}
}

@inproceedings{nagler-neurips24a,
    author    = {Thomas Nagler and Lennart Schneider and Bernd Bischl and Matthias Feurer},
    title     = {Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization},
    year      = {2024},
    booktitle = {Advances in Neural Information Processing Systems},
    volume    = {37},
    pages     = {40486--40533},
    url       = {<br><a href="https://proceedings.neurips.cc/paper_files/paper/2024/hash/47811ee68103bfcde7ca2223fccefb3a-Abstract-Conference.html">Link</a> | <a href="https://proceedings.neurips.cc/paper_files/paper/2024/file/47811ee68103bfcde7ca2223fccefb3a-Paper-Conference.pdf">PDF</a> | <a href="https://arxiv.org/abs/2405.15393">arXiv</a> | <a href="https://github.com/sumny/reshuffling">Code</a> | <a href="https://neurips.cc/virtual/2024/poster/96162">Conference Video</a> | <a href="https://www.youtube.com/watch?v=b_NZ2IxklD4">AutoML Seminar Video</a>},
    tag       = {AutoML,EML}
}

@inproceedings{ewald2024guide,
	author="Ewald, Fiona Katharina and Bothmann, Ludwig and Wright, Marvin N. and Bischl, Bernd and Casalicchio, Giuseppe and K{\"o}nig, Gunnar",
	editor="Longo, Luca and Lapuschkin, Sebastianand Seifert, Christin",
	title="A Guide to Feature Importance Methods for Scientific Inference",
	booktitle="Explainable Artificial Intelligence",
	year="2024",
	publisher="Springer Nature Switzerland",
	address="Cham",
	tag = "IML",
	pages="440--464",
	url = {<br><a href="https://link.springer.com/chapter/10.1007/978-3-031-63797-1_22">link</a>|<a href = "https://link.springer.com/content/pdf/10.1007/978-3-031-63797-1_22.pdf">pdf</a>}
}

@inproceedings{ronval2024genAIfair,
	title={Can generative AI-based data balancing mitigate unfairness issues in Machine Learning?}, 
	author={Benoît Ronval and Siegfried Nijssen and Ludwig Bothmann},
	year={2024},
	booktitle={EWAF’24: European Workshop on Algorithmic Fairness},
	tag = {causal-fair},
	date={2024-05-07}
}

@article{bothmann2024mietspiegel,
	title={Fairness als Qualitätskriterium im Maschinellen Lernen – Rekonstruktion des philosophischen Konzepts und Implikationen für die Nutzung außergesetzlicher Merkmale bei qualifizierten Mietspiegeln}, 
	author={Ludwig Bothmann and Kristina Peters},
	year={2024},
	journal={AStA Wirtschafts- und Sozialstatistisches Archiv},
	date={2024-08-23},
	url= {<br><a href="https://link-springer-com.emedien.ub.uni-muenchen.de/article/10.1007/s11943-024-00346-0">link</a>|<a href = "https://link-springer-com.emedien.ub.uni-muenchen.de/content/pdf/10.1007/s11943-024-00346-0.pdf">pdf</a>},
	tag={causal-fair}
}

@inproceedings{bothmann2025-brueckenschlag,
	title={Fairness von KI – ein Brückenschlag zwischen Philosophie und Maschinellem Lernen}, 
	author={Ludwig Bothmann and Kristina Peters},
	year={2024},
	booktitle={Grenzen Künstlicher Intelligenz},
	publisher={Kohlhammer, Stuttgart},
	editor={Benjamin Rathgeber and Markus Maier},
	tag = {causal-fair},
	date={2025-02-20}
}



@article{dandl2024mlr3summary,
	title={mlr3summary: Concise and interpretable summaries for machine learning models}, 
	author={Susanne Dandl and Marc Becker and Bernd Bischl and Giuseppe Casalicchio and Ludwig Bothmann},
	year={2024},
	journal={Proceedings of the Demo Track of the 2nd World Conference on eXplainable Artificial Intelligence},
	url= {<br><a href="http://arxiv.org/abs/2404.16899">link</a>|<a href = "https://arxiv.org/pdf/2404.16899.pdf">pdf</a>},
	date={2024-04-15},
	tag={RSE, IML}
}

@inproceedings{dandl2024countARF,
	title={CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests}, 
	author={Susanne Dandl and Kristin Blesch and Timo Freiesleben and Gunnar König and Jan Kapar and Bernd Bischl and Marvin Wright},
	year={2024},
	url= {<br><a href="http://arxiv.org/abs/2404.03506">link</a>|<a href = "https://arxiv.org/pdf/2404.03506.pdf">pdf</a>},
	booktitle={2nd World Conference on eXplainable Artificial Intelligence},
	tag = {IML},
	date={2024-03-15}
}

@inproceedings{positionBDL,
  title = {Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI},
  author = {Theodore Papamarkou and Maria Skoularidou and Konstantina Palla and Laurence Aitchison and Julyan Arbel and David Dunson and Maurizio Filippone and Vincent Fortuin and Philipp Hennig and Aliaksandr Hubin and Alexander Immer and Theofanis Karaletsos and Mohammad Emtiyaz Khan and Agustinus Kristiadi and Yingzhen Li and Jose Miguel Hernandez Lobato and Stephan Mandt and Christopher Nemeth and Michael A. Osborne and Tim G. J. Rudner and David R{\"u}gamer and Yee Whye Teh and Max Welling and Andrew Gordon Wilson and Ruqi Zhang},
  year = {2024},
  booktitle = {Proceedings of the 41st International Conference on Machine Learning},
  publisher={PMLR},
  tag = {Prob},
  date = {2024-07-21},
  url= {<br><a href="http://arxiv.org/abs/2402.00809">link</a>|<a href = "https://arxiv.org/pdf/2402.00809.pdf">pdf</a>}
}

@inproceedings{lindauer-icml24a,
    author = {Marius Lindauer and Florian Karl and Anne Klier and Julia Moosbauer and Alexander Tornede and {Andreas C} Müller and Frank Hutter and Matthias Feurer and Bernd Bischl},
    title = {Position: A Call to Action for a Human-Centered AutoML Paradigm},
    year = {2024},
    publisher={PMLR},
    date = {2024-07-22},
    booktitle = {Proceedings of the 41st International Conference on Machine Learning},
    volume = {235},
    pages = {30566--30584},
    url = {<br><a href="https://proceedings.mlr.press/v235/lindauer24a.html">Link</a> | <a href="https://raw.githubusercontent.com/mlresearch/v235/main/assets/lindauer24a/lindauer24a.pdf">PDF</a> | <a href="https://arxiv.org/abs/2406.03348">arXiv</a>},
    tag = {AutoML},
}

@inproceedings{moritz2024,
    title={Position: Why We Must Rethink Empirical Research in Machine Learning},
    author = {Moritz Herrmann and {F. Julian D.} Lange and Katharina Eggensperger and Giuseppe Casalicchio and Marcel Wever and Matthias Feurer and David Rügamer and Eyke Hüllermeier and Anne-Laure Boulesteix and Bernd Bischl},
    year = 2024,
    publisher={PMLR},
    date = {2024-07-22},
    booktitle = {Proceedings of the 41st International Conference on Machine Learning},
    volume = {235},
    pages = {18228--18247},
    url = {<br><a href="https://proceedings.mlr.press/v235/herrmann24b.html">Link</a> | <a href="https://raw.githubusercontent.com/mlresearch/v235/main/assets/herrmann24b/herrmann24b.pdf">PDF</a> | <a href="https://arxiv.org/abs/2405.02200">arXiv</a>},
    tag = {EML},
}

@inproceedings{generalortho,
    title={Generalizing Orthogonalization for Models with Non-linearities},
    author={R\"ugamer, David and Kolb, Chris and Weber, Tobias and Kook, Lucas and Nagler, Thomas},
    year = {2024},
    booktitle = {Accepted for Publication at the 41st International Conference on Machine Learning},
    publisher = {PMLR},
    tag = {Prob},
    date = {2024-07-23}
}

@inproceedings{kohli-dmlr24a,
    author = {Ravin Kohli and Matthias Feurer and Bernd Bischl and Katharina Eggensperger and Frank Hutter},
    title = {Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning},
    year = {2024},
    booktitle = {Data-centric Machine Learning (DMLR) workshop at the International Conference on Learning Representations (ICLR)},
    date = {2024-05-11},
    tag = {EML}
}

@inproceedings{neat,
	title={How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression},
	author={Kook, Lucas and Kolb, Chris and Schiele, Philipp and Dold, Daniel and Arpogaus, Marcel and Fritz, Cornelius and Baumann, Philipp and Kopper, Philipp and Pielok, Tobias and Dorigatti, Emilio and R\"ugamer, David},
	year = {2024},
	publisher = {PMLR},
	series = {Proceedings of Machine Learning Research},
	booktitle = {Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence},
	tag={Prob},
	date={2024-04-26}
}

@inproceedings{kopper2026trainingsurvival,
  title = {On {{Training Survival Models}} with {{Scoring Rules}}},
  booktitle = {Machine {{Learning}} and {{Knowledge Discovery}} in {{Databases}}. {{Research Track}}},
  author = {Kopper, Philipp and R{\"u}gamer, David and Sonabend, Raphael and Bischl, Bernd and Bender, Andreas},
  editor = {Ribeiro, Rita P. and Pfahringer, Bernhard and Japkowicz, Nathalie and Larra{\~n}aga, Pedro and Jorge, Al{\'i}pio M. and Soares, Carlos and Abreu, Pedro H. and Gama, Jo{\~a}o},
  year = 2026,
  pages = {74--91},
  publisher = {Springer Nature Switzerland},
  address = {Cham},
  doi = {10.1007/978-3-032-06109-6_5},
  isbn = {978-3-032-06109-6},
  langid = {english},
  keywords = {Neural Networks,Proper Scoring Rules,Survival Analysis},
  tag={Survival, Prob},
  url = {<br> <a href="https://link.springer.com/chapter/10.1007/978-3-032-06109-6_5">link</a>|<a href="https://link.springer.com/content/pdf/10.1007/978-3-032-06109-6_5.pdf?pdf=inline%20link">pdf</a>},
}

@InProceedings{rundel2024interpretable,
    author="Rundel, David and Kobialka, Julius and von Crailsheim, Constantin and Feurer, Matthias and Nagler, Thomas and R{\"u}gamer, David",
    editor="Longo, Luca and Lapuschkin, Sebastian and Seifert, Christin",
    title="Interpretable Machine Learning for TabPFN",
    booktitle="Explainable Artificial Intelligence",
    series="xAI",
    year="2024",
    publisher="Springer Nature Switzerland",
    address="Cham",
    pages="465--476",
    tag = "IML, Prob",
    date="2024-04-08"
}

@article{liew10,
  title = {Strategies to optimise machine learning classification performance when using biomechanical features},
  journal = {Journal of Biomechanics},
  pages = {111998},
  year = {2024},
  date = {2024-02-17},
  tag = {Consulting},
  url = {<br><a href="https://www.sciencedirect.com/science/article/pii/S0021929024000757">link</a>},
  author = {Bernard X.W. Liew and Florian Pfisterer and David R{\"u}gamer and Xiaojun Zhai},
}

@article{liew_frontiers,
  journal={Frontiers in Bioengineering and Biotechnology: Biomechanics},
  year={2023},
  author={Bernard Xian Wei Liew and David R{\"u}gamer and Qichang Mei and Zainab Altai and Xuqi Zhu and Xiaojun Zhai and Nelson Cortes},
  title={Smooth and accurate predictions of joint contact force timeseries in gait using overparameterised deep neural networks},
  date = {2023-07-03},
  tag = {Consulting}
}

@INPROCEEDINGS{Goschenhofer2023_Constraint,
  author={Goschenhofer, Jann and Bischl, Bernd and Kira, Zsolt},
  booktitle={2023 International Joint Conference on Neural Networks (IJCNN)}, 
  title={ConstraintMatch for Semi-constrained Clustering}, 
  year={2023},
  volume={},
  number={},
  pages={1-10},
  date={2023-07-23},
  tag = {Prob},
  url={<br><a href="https://ieeexplore.ieee.org/document/10191186">link</a>}
}

@article{gertheiss,
      title={Functional Data Analysis: An Introduction and Recent Developments}, 
      author={Jan Gertheiss and David R{\"u}gamer and Bernard Liew and Sonja Greven},
      year={2023},
      url = {<br><a href="https://arxiv.org/abs/2312.05523">link</a>},
      tag = {Consulting,Boosting},
      data = {2023-12-09}
}

@inproceedings{sommer2024connecting,
      title={{Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?}}, 
      author={Emanuel Sommer and Lisa Wimmer and Theodore Papamarkou and Ludwig Bothmann and Bernd Bischl and David R\"ugamer},
      year={2024},
      booktitle = 	 {Proceedings of the 41st International Conference on Machine Learning},
      publisher={PMLR},
      url= {<br><a href="http://arxiv.org/abs/2402.01484">link</a>|<a href = "https://arxiv.org/pdf/2402.01484.pdf">pdf</a>},
    tag={Prob},
    date={2024-07-26}
}

@article{liew2021harnessing,
  title={Harnessing time-series kinematic and electromyography signals as predictors to discriminate amongst low back pain recovery status},
  author={Liew, Bernard XW and R{\"u}gamer, David and De Nunzio, Alessandro and Falla, Deborah},
  journal={Brain and Spine},
  volume={1},
  pages={100236},
  year={2021},
  publisher={Elsevier},
  tag={Consulting}
}

@inproceedings{AFM2024,
  title = {Scalable Higher-Order Tensor Product Spline Models},
  author = {David R{\"u}gamer},
  year={2024},
  booktitle = 	 {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
  series = 	 {Proceedings of Machine Learning Research},
  publisher =    {PMLR},
  note = {Accepted},
  date = {2024-01-20},
  tag = {Prob}
}

@inproceedings{li2023attributionlab,
  title={AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments},
  author={Zhang*, Yang and Li*, Yawei and Brown, Hannah and Rezaei, Mina and Bischl, Bernd and Torr, Philip and Khakzar, Ashkan and Kawaguchi, Kenji},
  booktitle={NeurIPS 2023 Workshop XAI in Action},
  year={2023}
}

@inproceedings{segel2023symbolic,
title          = {Symbolic Explanations for Hyperparameter Optimization},
author	       = {Sarah Segel and Helena Graf and Alexander Tornede and Bernd Bischl and Marius Lindauer},
booktitle      = {Proceedings of the Second International Conference on Automated Machine Learning},
year	       = {2023},
pages 	       = {2/1--22},
editor 	       = {Faust, Aleksandra and Garnett, Roman and White, Colin and Hutter, Frank and Gardner, Jacob R.},
volume 	       = {224},
series         = {Proceedings of Machine Learning Research},
month 	       = {12--15 Nov},
publisher      = {PMLR},
date           = {2023-11-15},
tag            = {AutoML},
url            = {<br> <a href="https://proceedings.mlr.press/v224/segel23a.html">link</a>}
}

@inproceedings{gunduz2023uncertainty,
  title={Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences},
  author={G{\"u}nd{\"u}z, H{\"u}seyin Anil and Giri, Sheetal and Binder, Martin and Bischl, Bernd and Rezaei, Mina},
  booktitle={2023 International Conference on Machine Learning and Applications (ICMLA)},
  pages={566--573},
  year={2023},
  organization={IEEE}
}

@article{hartl.relevance.2023,
  title = {Relevance of {{Protein Intake}} for {{Weaning}} in the {{Mechanically Ventilated Critically Ill}}: {{Analysis}} of a {{Large International Database}}},
  shorttitle = {Relevance of {{Protein Intake}} for {{Weaning}} in the {{Mechanically Ventilated Critically Ill}}},
  author = {Hartl, Wolfgang H. and Kopper, Philipp and Xu, Lisa and Heller, Luca and Mironov, Maxim and Wang, Ruiyi and Day, Andrew G. and Elke, Gunnar and K{\"u}chenhoff, Helmut and Bender, Andreas},
  year = {2023},
  journal = {Critical Care Medicine},
  issn = {0090=3493},
  urldate = {2023-12-30},
  langid = {american},
  url = {<br><a href="https://journals.lww.com/ccmjournal/fulltext/9900/relevance_of_protein_intake_for_weaning_in_the.255.aspx">link</a>},
  tag = {Survival, Consulting}
}

@article{hendrix.connection.2023,
  title = {On the {{Connection Between Language Change}} and {{Language Processing}}},
  author = {Hendrix, Peter and Sun, Ching Chu and Brighton, Henry and Bender, Andreas},
  year = {2023},
  journal = {Cognitive Science},
  volume = {47},
  number = {12},
  pages = {e13384},
  issn = {1551-6709},
  urldate = {2023-12-10},
  url = {<br><a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/cogs.13384">link</a>|<a href = "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/cogs.13384?download=true">pdf</a>},
  langid = {english},
  tag = {Survival, Consulting}
}

@article{coens.timevarying.2023,
  title = {Time-{{Varying Determinants}} of {{Graft Failure}} in {{Pediatric Kidney Transplantation}} in {{Europe}}},
  author = {Coens, Ferran and Knops, No{\"e}l and Tieken, Ineke and Vogelaar, Serge and Bender, Andreas and Kim, Jon Jin and Krupka, Kai and Pape, Lars and Raes, Ann and T{\"o}nshoff, Burkhard and Prytula, Agnieszka and Registry, Certain},
  year = {2023},
  month = nov,
  journal = {Clinical Journal of the American Society of Nephrology},
  issn = {1555-9041},
  urldate = {2023-11-30},
  langid = {american},
  tag = {Survival, Consulting},
  url = {<br><a href="https://journals.lww.com/cjasn/abstract/9900/time_varying_determinants_of_graft_failure_in.299.aspx">link</a>}
}



@article{wiegrebeDeepLearningSurvival2024,
  title = {Deep Learning for Survival Analysis: A Review},
  shorttitle = {Deep Learning for Survival Analysis},
  author = {Wiegrebe, Simon and Kopper, Philipp and Sonabend, Raphael and Bischl, Bernd and Bender, Andreas},
  year = {2024},
  journal = {Artificial Intelligence Review},
  volume = {57},
  number = {3},
  pages = {65},
  issn = {1573-7462},
  urldate = {2024-02-19},
  langid = {english},
  tag = {Survival},
  url = {<br><a href="https://doi.org/10.1007/s10462-023-10681-3">link</a>|<a href = "https://link.springer.com/content/pdf/10.1007/s10462-023-10681-3.pdf">pdf</a>}
}


@article{zumeta-olaskoagaFlexibleModellingTimevarying2024,
  title = {Flexible Modelling of Time-Varying Exposures and Recurrent Events to Analyse Training Load Effects in Team Sports Injuries},
  author = {{Zumeta-Olaskoaga}, Lore and Bender, Andreas and Lee, Dae-Jin},
  year = {2024},
  journal = {Journal of the Royal Statistical Society Series C: Applied Statistics},
  pages = {qlae059},
  issn = {0035-9254},
  urldate = {2024-11-27},
  tag = {Survival, Consulting},
  url = {<br><a href="https://doi.org/10.1093/jrsssc/qlae059">link</a>|<a href = "https://academic.oup.com/jrsssc/advance-article-pdf/doi/10.1093/jrsssc/qlae059/60831962/qlae059.pdf">pdf</a>}
}

@article{pretzsch.emtrelated.2022,
  title = {{{EMT-Related Genes Have No Prognostic Relevance}} in {{Metastatic Colorectal Cancer}} as {{Opposed}} to {{Stage II}}/{{III}}: {{Analysis}} of the {{Randomised}}, {{Phase III Trial FIRE-3}} ({{AIO KRK}} 0306; {{FIRE-3}})},
  shorttitle = {{{EMT-Related Genes Have No Prognostic Relevance}} in {{Metastatic Colorectal Cancer}} as {{Opposed}} to {{Stage II}}/{{III}}},
  author = {Pretzsch, Elise and Heinemann, Volker and Stintzing, Sebastian and Bender, Andreas and Chen, Shuo and Holch, Julian Walter and Hofmann, Felix Oliver and Ren, Haoyu and B{\"o}sch, Florian and K{\"u}chenhoff, Helmut and Werner, Jens and Angele, Martin Konrad},
  year = {2022},
  month = jan,
  journal = {Cancers},
  volume = {14},
  number = {22},
  pages = {5596},
  publisher = {{Multidisciplinary Digital Publishing Institute}},
  issn = {2072-6694},
  urldate = {2023-05-19},
  langid = {english},
  url = {<br><a href="https://www.mdpi.com/2072-6694/14/22/5596">link</a>|<a href = "https://www.mdpi.com/2072-6694/14/22/5596/pdf?version=1668755386">pdf</a>},
  tag = {Survival, Consulting}
}

@inproceedings{dold2023,
  title={Semi-Structured Subspace Inference},
  author={Daniel Dold and David R{\"u}gamer and Beate Sick and Oliver D{\"u}rr},
  year={2024},
  booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
  note = {Accepted},
  date = {2024-01-20},
  tag = {Prob}
}

@article{Schalk2023dsBin,
  author       = {Schalk, Daniel and Hoffmann, Verena and Bischl, Bernd and Mansmann, Ulrich},
  year         = {2023},
  month        = {02},
  pages        = {4545},
  title        = {dsBinVal: Conducting distributed ROC analysis using DataSHIELD},
  volume       = {8},
  journal      = {Journal of Open Source Software},
  url          = {<br><a href="https://joss.theoj.org/papers/10.21105/joss.04545">link</a>},
  date         = {2023-02-21}
}

@article{Schalk.2022,
  title        = {Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models},
  author       = {Daniel Schalk and Bernd Bischl and David R{\"u}gamer},
  year         = 2024,
  journal      = {Statistics \& Computing},
  volume       = 34,
  number       = 31,
  url          = {<br><a href="https://arxiv.org/abs/2210.07723">link</a>|<a href = "https://arxiv.org/pdf/2210.07723.pdf">pdf</a>},
  tag          = {Prob}
}

@inproceedings{weber2023constrained,
  title        = {Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction},
  author       = {Weber, Tobias and Ingrisch, Michael and Bischl, Bernd and R{\"u}gamer, David},
  year         = 2024,
  month        = 1,
  booktitle    = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  url          = {<br><a href="https://arxiv.org/abs/2305.16376">link</a>|<a href = "https://arxiv.org/pdf/2305.16376.pdf">pdf</a>},
  tag          = {Prob,Consulting}
}

@article{mittermeier2024automatische,
  title={Automatische ICD-10-Codierung},
  author={Mittermeier, Andreas and A{\ss}enmacher, Matthias and Schachtner, Balthasar and Grosu, Sergio and Dakovic, Vladana and Kandratovich, Viktar and Sabel, Bastian and Ingrisch, Michael},
  journal={Die Radiologie},
    date = {2024-08-09},
  pages={1--7},
  year={2024},
  publisher={Springer},
  url = {<br> <a href="https://link.springer.com/article/10.1007/s00117-024-01349-2">link</a>},
    tag={nlp,Consulting}
}

@inproceedings{garces-arias-etal-2024-adaptive,
    title = "Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation",
    author = "Garces Arias, Esteban and Rodemann, Julian  and Li, Meimingwei  and  Heumann, Christian  and  A{\ss}enmacher, Matthias",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
    date = {2024-11-12},
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    pages = "15060--15080",
    url = {<br> <a href="https://aclanthology.org/2024.findings-emnlp.885">link</a>|<a href="https://aclanthology.org/2024.findings-emnlp.885.pdf">pdf</a>},
    tag={nlp}
}
@inproceedings{assenmacher-etal-2024-collaborative-development,
    title = "Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing",
    author = {A{\ss}enmacher, Matthias  and Stephan, Andreas  and Weissweiler, Leonie  and {\c{C}}ano, Erion  and Ziegler, Ingo  and H{\"a}rttrich, Marwin  and Bischl, Bernd  and Roth, Benjamin  and Heumann, Christian  and Sch{\"u}tze, Hinrich},
    booktitle = "Proceedings of the Sixth Workshop on Teaching NLP",
    date = {2024-08-15},
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    pages = "43--53",
    url = {<br> <a href="https://aclanthology.org/2024.teachingnlp-1.6/">link</a>|<a href="https://aclanthology.org/2024.teachingnlp-1.6.pdf">pdf</a>},
    tag={nlp}
}


@inproceedings{urchs-etal-2024-detecting,
    title = "Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis",
    author = "Urchs, Stefanie  and  Thurner, Veronika  and  A{\ss}enmacher, Matthias  and Heumann, Christian  and Thiemichen, Stephanie",
    booktitle = "Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)",
    date = {2024-08-16},
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    pages = "140--149",
    url = {<br> <a href="https://aclanthology.org/2024.gebnlp-1.8/">link</a>|<a href="https://aclanthology.org/2024.gebnlp-1.8.pdf">pdf</a>},
    tag={nlp,causal-fair}
}

@article{solderer2024implant,
  title = {Influence of an allogenic collagen scaffold on implant sites with thin supracrestal tissue height: a randomized clinical trial},
  author = {Solderer, Alex and Hicklin, Stefan and Aßenmacher, Matthias and Ender, Andreas and Schmidlin, Patrick},
  journal = {Clinical Oral Investigations, 28, 313},
    date = {2024-05-15},
  year = {2024},
  url = {<br> <a href="https://doi.org/10.1007/s00784-024-05716-0">link</a>|<a href="https://link.springer.com/content/pdf/10.1007/s00784-024-05716-0.pdf">pdf</a>},
  tag = {Consulting}
}

@inproceedings{mayer2024text2code,
  title={{Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation}},
  author={Mayer, Luis and Heumann, Christian and A{\ss}enmacher, Matthias},
  booktitle = "Proceedings of the 9th edition of the Swiss Text Analytics Conference",
    date = {2024-06-10},
  year={2024},
    month = jun,
  address = "Chur, Switzerland",
  publisher = "Association for Computational Linguistics",
  pages = "1--20",
  url = {<br> <a href="https://aclanthology.org/2024.swisstext-1.1/">link</a>|<a href="https://aclanthology.org/2024.swisstext-1.1.pdf">pdf</a>},
    tag={nlp}
}

@inproceedings{assenmacher2024classifying,
  title={Classifying multilingual party manifestos: Domain transfer across country, time, and genre},
  author={A{\ss}enmacher, Matthias and Sauter, Nadja and Heumann, Christian},
  booktitle = "Proceedings of the 9th edition of the Swiss Text Analytics Conference",
    date = {2024-06-10},
  year={2024},
    month = jun,
  address = "Chur, Switzerland",
  publisher = "Association for Computational Linguistics",
  pages = "21--31",
  url = {<br> <a href="https://aclanthology.org/2024.swisstext-1.2/">link</a>|<a href="https://aclanthology.org/2024.swisstext-1.2.pdf">pdf</a>},
    tag={nlp}
}

@inproceedings{deiseroth-etal-2024-divergent,
    title = "Divergent Token Metrics: Measuring degradation to prune away {LLM} components {--} and optimize quantization",
    author = {Deiseroth, Bj{\"o}rn  and Meuer, Max  and Gritsch, Nikolas  and  Eichenberg, Constantin  and Schramowski, Patrick  and A{\ss}enmacher, Matthias  and Kersting, Kristian},
    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = jun,
    date = {2024-06-16},
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-long.377",
    pages = "6764--6783",
    url = {<br> <a href="https://aclanthology.org/2024.naacl-long.377/">link</a>|<a href="https://aclanthology.org/2024.naacl-long.377.pdf">pdf</a>},
    tag={nlp}
}

@inproceedings{gruber-etal-2024-labels,
    title = "More Labels or Cases? Assessing Label Variation in Natural Language Inference",
    author = {Gruber, Cornelia  and  Hechinger, Katharina  and  A{\ss}enmacher, Matthias  and Kauermann, G{\"o}ran  and Plank, Barbara},
    booktitle = "Proceedings of the Third Workshop on Understanding Implicit and Underspecified Language",
    month = mar,
    date = {2024-03-21},
    year = "2024",
    address = "Malta",
    publisher = "Association for Computational Linguistics",
    pages = "22--32",
    url = {<br> <a href="https://aclanthology.org/2024.unimplicit-1.2">link</a>|<a href="https://aclanthology.org/2024.unimplicit-1.2.pdf">pdf</a>},
    tag={nlp}
}

@inproceedings{arias-etal-2023-automatic,
    title = "Automatic Transcription of Handwritten Old {O}ccitan Language",
    author = {Garces Arias, Esteban and Pai, Vallari and Sch{\"o}ffel, Matthias and Heumann, Christian and A{\ss}enmacher, Matthias},
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    date = {2023-12-06},
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.emnlp-main.953",
    doi = "10.18653/v1/2023.emnlp-main.953",
    pages = "15416--15439",
    abstract = "While existing neural network-based approaches have shown promising results in Handwritten Text Recognition (HTR) for high-resource languages and standardized/machine-written text, their application to low-resource languages often presents challenges, resulting in reduced effectiveness. In this paper, we propose an innovative HTR approach that leverages the Transformer architecture for recognizing handwritten Old Occitan language. Given the limited availability of data, which comprises only word pairs of graphical variants and lemmas, we develop and rely on elaborate data augmentation techniques for both text and image data. Our model combines a custom-trained Swin image encoder with a BERT text decoder, which we pre-train using a large-scale augmented synthetic data set and fine-tune on the small human-labeled data set. Experimental results reveal that our approach surpasses the performance of current state-of-the-art models for Old Occitan HTR, including open-source Transformer-based models such as a fine-tuned TrOCR and commercial applications like Google Cloud Vision. To nurture further research and development, we make our models, data sets, and code publicly available.",
    url = {<br> <a href="https://aclanthology.org/2023.emnlp-main.953/">link</a>|<a href="https://aclanthology.org/2023.emnlp-main.953.pdf">pdf</a>},
    tag          = {nlp}
}

@article {Ziegler2023proteasome,
	author = {Ziegler, Ingo and Ma, Bolei and Bischl, Bernd and Dorigatti, Emilio and Schubert, Benjamin},
	title = {Proteasomal cleavage prediction: state-of-the-art and future directions},
	year = {2023},
	publisher = {Cold Spring Harbor Laboratory},
	URL = {<br> <a href="https://www.biorxiv.org/content/early/2023/10/31/2023.07.17.549305">link</a>},
	tag = {Prob},
	journal = {bioRxiv}
}

@inproceedings{ozturk-etal-2023-stereo-multi,
  title        = {{How Different Is Stereotypical Bias Across Languages?}},
  author       = {{\"O}zt{\"u}rk, Ibrahim Tolga and Nedelchev, Rostislav and Heumann, Christian and Garces Arias, Esteban and Roger, Marius and Bischl, Bernd and A{\ss}enmacher, Matthias},
  year         = 2023,
  booktitle    = {3rd Workshop on Bias and Fairness in AI (co-located with ECML-PKDD 2023)},
  url          = {<br> <a href="https://arxiv.org/abs/2307.07331">link</a>|<a href="https://arxiv.org/pdf/2307.07331.pdf">pdf</a>},
  tag          = {nlp,causal-fair}
}

@inproceedings{witte2023potential,
  title     = "{Potential for Decision Aids based on Natural Language Processing}",
  author    = "Witte, Maximilian and Schwenzow, Jasper and Heitmann, Mark and Reisenbichler, Martin and A{\ss}enmacher, Matthias",
  year      = "2023",
  booktitle = "Proceedings of the European Marketing Academy, 52nd, (114322)",
  url       = {<br> <a href="https://proceedings.emac-online.org/pdfs/A2022-107508.pdf/pdfs/index.cfm?abstractid=A2023-114322">link</a>|<a href="https://proceedings.emac-online.org/pdfs/A2023-114322.pdf">pdf</a>},
  tag       = {nlp}
}

@inproceedings{assenmacher-etal-2023-enhancing,
  title        = {{Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering}},
  author       = {A{\ss}enmacher, Matthias and Rauch, Lukas and Goschenhofer, Jann and Stephan, Andreas and Bischl, Bernd and Roth, Benjamin and Sick, Bernhard},
  year         = 2023,
  booktitle    = {Proceedings of the 7th Workshop on Interactive Adaptive Learning (co-located with ECML-PKDD 2023)},
  url          = {<br> <a href="https://ceur-ws.org/Vol-3470/">link</a>|<a href="https://ceur-ws.org/Vol-3470/paper7.pdf">pdf</a>},
  tag          = {nlp}
}

@article {Dorigatti-2024-tcell,
  author       = {Emilio Dorigatti and Felix Drost and Adrian Straub and Philipp Hilgendorf and Karolin I. Wagner and Bernd Bischl and Dirk H. Busch and Kilian Schober and Benjamin Schubert},
  title        = {Predicting T Cell Receptor Functionality against Mutant Epitopes},
  year 	       = {2024},
  publisher    = {Cold Spring Harbor Laboratory},
  journal      = {Cell Genomics},
  volume       = {4},
  issue        = {9},
  date 	       = {2024-09-11},
  tag          = {Beyond},
  url 	       = {<br> <a href="https://www.cell.com/cell-genomics/fulltext/S2666-979X(24)00238-6?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2666979X24002386%3Fshowall%3Dtrue">link</a>}
}

@article{akkus2023multimodal,
  title        = {Multimodal Deep Learning},
  author       = {Akkus, Cem and Chu, Luyang and Djakovic, Vladana and Jauch-Walser, Steffen and Koch, Philipp and Loss, Giacomo and Marquardt, Christopher and Moldovan, Marco and Sauter, Nadja and Schneider, Maximilian and Schulte, Rickmer and Urbanczyk, Karol and Goschenhofer, Jann and Heumann, Christian and Hvingelby, Rasmus and Schalk, Daniel and A{\ss}enmacher, Matthias},
  year         = 2023,
  journal      = {arXiv preprint arXiv:2301.04856},
  url          = {<br> <a href="https://arxiv.org/abs/2301.04856">link</a>|<a href="https://arxiv.org/pdf/2301.04856.pdf">pdf</a>},
  tag          = {nlp}
}

@article{liew11,
  title        = {Neuromechanical stabilisation of the centre of mass during running},
  author       = {Bernard X.W. Liew and David R{\"u}gamer and Aleksandra Birn-Jeffery},
  year         = 2023,
  journal      = {Gait \& Posture},
  note         = {Accepted},
  tag          = {Consulting},
  date         = {2023-12-06}
}

@article{hpo_practical,
  title        = {Hyperparameter Optimization: Foundations, Algorithms, Best Practices, and Open Challenges},
  author       = {Bischl, Bernd and Binder, Martin and Lang, Michel and Pielok, Tobias and Richter, Jakob and Coors, Stefan and Thomas, Janek and Ullmann, Theresa and Becker, Marc and Boulesteix, Anne-Laure and Deng, Difan and Lindauer, Marius},
  year         = 2023,
  journal      = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
  publisher    = {Wiley Online Library},
  pages        = {e1484},
  doi          = {10.1002/widm.1484},
  tag          = {AutoML, EML}
}

@inproceedings{bothmann2023rank_pres,
  title        = {Causal {Fair} {Machine} {Learning} via {Rank}-{Preserving} {Interventional} {Distributions}},
  author       = {Bothmann, Ludwig and Dandl, Susanne and Schomaker, Michael},
  year         = 2023,
  booktitle    = {Proceedings of the 1st {Workshop} on {Fairness} and {Bias} in {AI} co-located with 26th {European} {Conference} on {Artificial} {Intelligence} ({ECAI} 2023)},
  publisher    = {CEUR Workshop Proceedings},
  url          = {<br><a href="https://ceur-ws.org/Vol-3523/">link</a>|<a href="https://ceur-ws.org/Vol-3523/paper1.pdf">pdf</a>},
  date         = {2023-10-25},
  tag          = {causal-fair}
}

@article{bothmann2025fairness,
  title        = {What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds},
  author       = {Bothmann, Ludwig and Peters, Kristina and Bischl, Bernd},
  year         = 2025,
  url= {<br><a href="https://arxiv.org/abs/2205.09622">link</a>|<a href = "https://arxiv.org/pdf/2205.09622.pdf">pdf</a>},
  journaltitle = {EWAF’25: European Workshop on Algorithmic Fairness},
  date         = {2025-05-05},
  tag          = {causal-fair}
}

@article{bothmann_automated_2023,
  title        = {Automated wildlife image classification: {An} active learning tool for ecological applications},
  author       = {Bothmann, Ludwig and Wimmer, Lisa and Charrakh, Omid and Weber, Tobias and Edelhoff, Hendrik and Peters, Wibke and Nguyen, Hien and Benjamin, Caryl and Menzel, Annette},
  year         = 2023,
  month        = jul,
  journal      = {Ecological Informatics},
  volume       = 77,
  url          = {<br><a href="https://doi.org/10.1016/j.ecoinf.2023.102231">link</a>|<a href = "https://arxiv.org/pdf/2303.15823.pdf">pdf</a>},
  date         = {2023-07-28},
  issue        = 102231,
  tag          = {Consulting}
}

@article{pho,
  title        = {A New PHO-rmula for Improved Performance of Semi-Structured Networks},
  author       = {David R{\"u}gamer},
  year         = 2023,
  booktitle    = {ICML 2023},
  note         = {Accepted},
  date         = {2023-04-24},
  tag          = {Prob}
}

@inproceedings{dorigatti2023aistats,
  title        = {Frequentist Uncertainty Quantification in Semi-Structured Neural Networks},
  author       = {Dorigatti, Emilio and Bischl, Bernd and R{\"u}gamer, David},
  year         = 2023,
  booktitle    = {International Conference on Artificial Intelligence and Statistics},
  organization = {PMLR},
  date         = {2023-01-23},
  tag          = {Prob}
}

@article{ott2023benchmarking,
  title        = {Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression},
  author       = {Felix Ott and Nisha Lakshmana Raichur and David R{\"u}gamer and Tobias Feigl and Heiko Neumann and Bernd Bischl and Christopher Mutschler},
  year         = 2023,
  url          = {<br><a href="https://arxiv.org/abs/2208.00919">link</a>|<a href = "https://arxiv.org/pdf/2208.00919.pdf">pdf</a>},
  date         = {2023-02-10},
  eprint       = {2208.00919},
  archiveprefix = {arXiv},
  journaltitle = {{arXiv}:2208.00919},
  tag          = {Prob,Beyond,EML}
}

@article{gunduz2023,
  title        = {A self-supervised deep learning method for data-efficient training in genomics},
  author       = {G{\"u}nd{\"u}z, H{\"u}seyin Anil and Binder, Martin and To, Xiao-Yin and Mreches, Ren{\'e} and Bischl, Bernd and McHardy, Alice C. and M{\"u}nch, Philipp C. and Rezaei, Mina},
  year         = 2023,
  month        = 9,
  day          = 11,
  journal      = {Communications Biology},
  volume       = 6,
  number       = 1,
  pages        = 928,
  doi          = {10.1038/s42003-023-05310-2},
  issn         = {2399--3642},
  url          = {<br><a href="https://doi.org/10.1038/s42003-023-05310-2">link</a>|<a href = "https://www.nature.com/articles/s42003-023-05310-2.pdf">pdf</a>},
  tag          = {Beyond}
}

@article{weerts-jair24a,
  title        = {Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML},
  author       = {Hilde Weerts and Florian Pfisterer and Matthias Feurer and Katharina Eggensperger and Edward Bergman and Noor Awad and Joaquin Vanschoren and Mykola Pechenizkiy and Bernd Bischl and Frank Hutter},
  year         = 2024,
  journal      = {Journal of Artificial Intelligence Research},
  url          = {<br><a href="https://jair.org/index.php/jair/article/view/14747">link</a>|<a href="https://jair.org/index.php/jair/article/view/14747/27014">pdf</a>},
  tag          = {AutoML, causal-fair},
  date         = {2024-02-19},
  volume       = {79},
  pages        = {639-677},
}

@article{hornung2023,
  title         = {Evaluating Machine Learning Models in Non-Standard Settings: An Overview and New Findings},
  author        = {Hornung, Roman and Nalenz, Malte and Schneider, Lennart and Bender, Andreas and Bothmann, Ludwig and Bischl, Bernd and Augustin, Thomas and Boulesteix, Anne-Laure},
  year          = {2023},
  url           = {<br> <a href="https://arxiv.org/abs/2310.15108">link</a> | <a href="https://arxiv.org/pdf/2310.15108.pdf">pdf</a>},
  eprint        = {2310.15108},
  journaltitle  = {{arXiv}:2310.15108 [cs, stat]},
  archiveprefix = {arXiv},
  date          = {2023-10-23},
  primaryclass  = {stat.ML},
  tag = {EML}
}

@article{stueberweber2023chatgpt,
  title        = {ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports},
  author       = {Jeblick, Katharina and Schachtner, Balthasar and Dexl, Jakob and Mittermeier, Andreas and St{\"u}ber, Anna Theresa and Topalis, Johanna and Weber, Tobias and Wesp, Philipp and Sabel, Bastian and Ricke, Jens and Ingrisch, Michael},
  year         = 2023,
  journal      = {European Radiology},
  publisher    = {Springer},
  url          = {<br><a href="https://link.springer.com/article/10.1007/s00330-023-10213-1">link</a>|<a href = "https://link.springer.com/content/pdf/10.1007/s00330-023-10213-1.pdf">pdf</a>},
  date         = {2023-10-05},
}

@inproceedings{gregorlisa,
  title        = {Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry},
  author       = {Jonas Gregor Wiese and Lisa Wimmer and Theodore Papamarkou and Bernd Bischl and Stephan G\"unnemann and David R{\"u}gamer},
  year         = 2023,
  booktitle    = {Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)},
  publisher    = {Springer International Publishing},
  url          = {<br><a href="https://arxiv.org/abs/2304.02902">link</a>|<a href = "https://arxiv.org/pdf/2304.02902.pdf">pdf</a>},
  date         = {2023-06-06},
  tag          = {Prob}
}

@inproceedings{konig2023improvment,
  title        = {Improvement-focused Causal Recourse (ICR)},
  author       = {K{\"o}nig, Gunnar and Freiesleben, Timo and Grosse-Wentrup, Moritz},
  year         = 2023,
  booktitle    = {37th AAAI Conference},
  tag          = {causal-fair}
}

@article{roeck2023,
  title        = {Dependent state space Student-t processes for imputation and data augmentation in plasma diagnostics},
  author       = {Katharina Rath and David R{\"u}gamer and Bernd Bischl and Udo von Toussaint and Christopher Albert},
  year         = 2023,
  journal      = {Contributions to Plasma Physics},
  note         = {Accepted},
  date         = {2023-04-13},
  tag          = {Consulting,Prob}
}

@inproceedings{koch-etal-2023-tailored-htr,
  title        = {{A tailored Handwritten-Text-Recognition System for Medieval Latin}},
  author       = {Koch, Philipp and Nu{\~n}ez, Gilary Vera and Garces Arias, Esteban and Heumann, Christian and Sch{\"o}ffel, Matthias and H{\"a}berlin, Alexander and A{\ss}enmacher, Matthias},
  year         = 2023,
  booktitle    = {First Workshop on Ancient Language Processing (ALP 2023)},
  url          = {<br> <a href="https://arxiv.org/abs/2308.09368">link</a>|<a href="https://arxiv.org/pdf/2308.09368.pdf">pdf</a>},
  tag          = {nlp}
}

@inproceedings{kolb2023smr,
  title        = {Sparse Modality Regression},
  author       = {Kolb, Chris and Bischl, Bernd and M{\"u}ller, Christian L and R{\"u}gamer, David},
  year         = 2023,
  booktitle    = {Proceedings of the 37th International Workshop on Statistical Modelling, IWSM 2023},
  url          = {<br><a href="https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf">link</a>|<a href = "https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf">pdf</a>},
  date         = {2023-07-01},
  tag          = {Prob}
}

@article{kolb2026smoothing,
  title         = {Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization},
  author        = {Kolb, Chris and M{\"u}ller, Christian L and Bischl, Bernd and R{\"u}gamer, David},
  journal       = {Machine Learning},
  volume        = {115},
  number        = {4},
  pages         = {87},
  year          = {2026},
  publisher     = {Springer},
  doi           = {10.1007/s10994-026-06997-0},
  url           = {<br><a href="https://link.springer.com/article/10.1007/s10994-026-06997-0">link</a>},
  date          = {2026-02-04},
  tag           = {Prob}
}

@article{jcm12196232,
  title        = {Automatic Variable Selection Algorithms in Prognostic Factor Research in Neck Pain},
  author       = {Liew, Bernard X. W. and Kovacs, Francisco M. and R\"ugamer, David and Royuela, Ana},
  year         = 2023,
  journal      = {Journal of Clinical Medicine},
  volume       = 12,
  number       = 19,
  date         = {2023-09-21},
  tag          = {Consulting}
}



@inproceedings{wimmer_2023_QuantifyingAleatoric,
  title        = {Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?},
  author       = {Lisa Wimmer and Yusuf Sale and Paul Hofman and Bernd Bischl and Eyke H\"ullermeier},
  year         = 2023,
  booktitle    = {39th Conference on Uncertainty in Artificial Intelligence (UAI 2023)},
  url          = {<br><a href="https://arxiv.org/abs/2209.03302v2">link</a>|<a href = "https://arxiv.org/pdf/2209.03302v2.pdf">pdf</a>},
  date         = 2023,
  tag          = {Prob}
}

@inproceedings{luther2023efficient,
  title        = {Efficient SAGE Estimation via Causal Structure Learning},
  author       = {Luther, Christoph and K{\"o}nig, Gunnar and Grosse-Wentrup, Moritz},
  year         = 2023,
  booktitle    = {AISTATS},
  tag          = {causal-fair}
}

@unpublished{muench2023,
  title        = {A platform for deep learning on (meta)genomic sequences (preprint)},
  author       = {M{\"u}nch, Philipp and Mreches, Ren{\'e} and To, Xiao-Yin and G{\"u}nd{\"u}z, H{\"u}seyin Anil and Moosbauer, Julia and Klawitter, Sandra and Deng, Zhi-Luo and Robertson, Gary and Rezaei, Mina and Asgari, Ehsaneddin and Franzosa, Eric and Huttenhower, Curtis and Bischl, Bernd and McHardy, Alice and Binder, Martin},
  year         = 2023,
  month        = feb,
  doi          = {10.21203/rs.3.rs-2527258/v1},
  url          = {<br> <a href=" https://doi.org/10.21203/rs.3.rs-2527258/v1">link</a> | <a href="https://assets.researchsquare.com/files/rs-2527258/v1/dcb0ffab-72d3-4dbf-99a3-f9ee11c69d50.pdf">pdf</a>}
}

@inproceedings{feurer-ida23a,
  title        = {Mind the Gap: Measuring Generalization Performance Across Multiple Objectives},
  author       = {Matthias Feurer and Katharina Eggensperger and Edward Bergman and Florian Pfisterer and Bernd Bischl and Frank Hutter},
  year         = 2023,
  booktitle    = {Advances in Intelligent Data Analysis XXI. IDA 2023.},
  publisher    = {Springer, Cham},
  series       = {Lecture Notes in Computer Science},
  volume       = 13876,
  pages        = {130--142},
  url          = {<br><a href="https://link.springer.com/chapter/10.1007/978-3-031-30047-9_11">link</a>|<a href="https://arxiv.org/abs/2212.04183">arXiv</a>|<a href="https://arxiv.org/pdf/2212.04183.pdf">pdf</a>},
  editor       = {Cr{\'e}milleux, Bruno and Hess, Sibylle and Nijssen, Siegfried},
  tag          = {AutoML, EML}
}

@article{ott2024fusing,
  title        = {Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments},
  author       = {Ott, Felix and Heublein, Lucas and R{\"u}gamer, David and Bischl, Bernd and Mutschler, Christopher},
  year         = 2024,
  journal      = {Journal of Visual Communication and Image Representation},
  volume       = {103},
  pages        = {104256},
  url          = {<br> <a href="https://www.sciencedirect.com/science/article/pii/S1047320324002128">link</a>},
  tag          = {prob},
  date         = {2024-08-08}
}

@article{10235987,
  title        = {Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition},
  author       = {Ott, Felix and R\"ugamer, David and Heublein, Lucas and Bischl, Bernd and Mutschler, Christopher},
  year         = 2023,
  journal      = {IEEE Access},
  volume       = 11,
  number       = {},
  pages        = {94148--94172},
  doi          = {10.1109/ACCESS.2023.3310819},
  tag          = {Prob,Beyond,Consulting},
  date         = {2023-08-31}
}

@inproceedings{pielok2023iclr,
  title        = {Approximate Bayesian Inference with Stein Functional Variational Gradient Descent},
  author       = {Pielok, Tobias and Bischl, Bernd and R{\"u}gamer, David},
  year         = 2023,
  booktitle    = {International Conference on Learning Representations},
  url          = {<br><a href="https://openreview.net/forum?id=a2-aoqmeYM4">link</a>|<a href = "https://openreview.net/pdf?id=a2-aoqmeYM4">pdf</a>},
  date         = {2023-01-23},
  tag          = {Prob}
}

@inproceedings{prager2023foga,
  title        = {Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features},
  author       = {Prager, Raphael Patrick and Dietrich, Konstantin and Schneider, Lennart and Sch{\"a}permeier, Lennart and Bischl, Bernd and Kerschke, Pascal and Trautmann, Heike and Mersmann, Olaf},
  year         = {2023},
  booktitle    = {Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms},
  pages        = {129--139},
  url          = {<br><a href="https://doi.org/10.1145/3594805.3607136">link</a> | <a href="https://dl.acm.org/doi/pdf/10.1145/3594805.3607136?casa_token=2Le7u_TCoAAAAAAA:TNrWpB3d8ubQR37jsduL17-EmXTmuI1kpI9FwDxZ4ohbtzjxWOWZSGZMjQ3-gS5KHSK7UhvKPlXt">pdf</a>},
  tag          = {AutoML}
}

@inproceedings{purucker2023automl,
  title        = {{Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML}},
  author       = {Purucker, Lennart and Schneider, Lennart and Anastacio, Marie and Beel, Joeran and Bischl, Bernd and Hoos, Holger},
  year         = {2023},
  booktitle    = {AutoML Conference 2023},
  url          = {<br><a href="https://proceedings.mlr.press/v224/purucker23b.html">link</a> | <a href="https://proceedings.mlr.press/v224/purucker23b/purucker23b.pdf">pdf</a>},
  tag          = {AutoML}
}

@article{ruegamer2022medr,
  title        = {{Mixture of Experts Distributional Regression: Implementation Using Robust Estimation with Adaptive First-order Methods}},
  author       = {R{\"u}gamer, David and Pfisterer, Florian and Bischl, Bernd and Gr{\"u}n, Bettina},
  year         = 2023,
  journal      = {AStA Advances in Statistical Analysis},
  url          = {<br><a href="https://arxiv.org/abs/2211.09875">link</a>|<a href = "https://arxiv.org/pdf/2211.09875.pdf">pdf</a>},
  note         = {Accepted},
  tag          = {Prob},
  date         = {2023-10-24}
}

@inproceedings{rauch-etal-2023-dal-bestpractice,
  title        = {{ActiveGLAE: A Benchmark for Deep Active Learning with Transformers}},
  author       = {Rauch, Lukas and A{\ss}enmacher, Matthias and Huseljic, Denis and Wirth, Moritz and Bischl, Bernd and Sick, Bernhard},
  year         = 2023,
  booktitle    = {Machine Learning and Knowledge Discovery in Databases: Research Track. ECML PKDD 2023},
  url          = {<br> <a href="https://arxiv.org/abs/2306.10087">link</a>|<a href="https://arxiv.org/pdf/2306.10087.pdf">pdf</a>},
  tag          = {nlp}
}

@inproceedings{10264875,
  title        = {Neural Architecture Search for Genomic Sequence Data},
  author       = {Scheppach, Amadeu and G{\"u}nd{\"u}z, H{\"u}seyin Anil and Dorigatti, Emilio and M{\"u}nch, Philipp C. and McHardy, Alice C. and Bischl, Bernd and Rezaei, Mina and Binder, Martin},
  year         = 2023,
  booktitle    = {2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)},
  volume       = {},
  number       = {},
  pages        = {1--10},
  doi          = {10.1109/CIBCB56990.2023.10264875},
  tag          = {AutoML}
}

@inproceedings{schneider2023multi,
  title        = {Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models},
  author       = {Schneider, Lennart and Bischl, Bernd and Thomas, Janek},
  year         = {2023},
  booktitle    = {Proceedings of the Genetic and Evolutionary Computation Conference},
  pages        = {538--547},
  url          = {<br><a href="https://dl.acm.org/doi/10.1145/3583131.3590380">link</a> | <a href="https://dl.acm.org/doi/pdf/10.1145/3583131.3590380">pdf</a>},
  tag          = {AutoML, EML}
}

@article{schulze2024bayesian,
  title={A Bayesian approach to modeling topic-metadata relationships},
  author={Schulze, Patrick and Wiegrebe, Simon and Thurner, Paul W and Heumann, Christian and A{\ss}enmacher, Matthias},
  journal={AStA Advances in Statistical Analysis},
  volume={108},
  number={2},
  pages={333--349},
  year={2023},
  publisher={Springer},
  url = {<br> <a href="https://link.springer.com/article/10.1007/s10182-023-00485-9">link</a>},
  tag={nlp}
}

@inproceedings{fischer-automlws23a,
  title        = {OpenML-CTR23 -- A curated tabular regression benchmarking suite},
  author       = {Sebastian Fischer and Liana Harutyunyan and Matthias Feurer and Bernd Bischl},
  year         = 2023,
  booktitle    = {AutoML Conference 2023 (Workshop)},
  url          = {<br><a href="https://openreview.net/forum?id=HebAOoMm94">link</a>|<a href = "https://openreview.net/pdf?id=HebAOoMm94">pdf</a>},
  tag          = {EML}
}

@article{dandl2024hte,
	author = {Susanne Dandl and Christian Haslinger and Torsten Hothorn and Heidi Seibold and Erik Sverdrup and Stefan Wager and Achim Zeileis},
	title={What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?},
	volume = {18},
	journal = {The Annals of Applied Statistics},
	number = {1},
	publisher = {Institute of Mathematical Statistics},
	pages = {506 -- 528},
	year = {2024},
	date = {2024-02-01},
	url          = {<br> <a href="https://doi.org/10.1214/23-AOAS17999">link</a>},
	tag          = {Survival, causal-fair}
}


@article{weber2023implicit,
  title        = {Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs},
  author       = {Tobias Weber and Michael Ingrisch and Bernd Bischl and David R{\"u}gamer},
  year         = 2023,
  journal      = {MICCAI Workshop on Medical Applications with Disentanglements 2022},
  url          = {<br><a href="https://link.springer.com/chapter/10.1007/978-3-031-25046-0_3">link</a>|<a href = "https://link.springer.com/content/pdf/10.1007/978-3-031-25046-0_3.pdf">pdf</a>},
  date         = {2023-02-01}
}

@article{weber2023unreading,
  title        = {Unreading Race: Purging Protected Features from Chest X-ray Embeddings},
  author       = {Tobias Weber and Michael Ingrisch and Bernd Bischl and David R\"ugamer},
  year         = 2023,
  url          = {<br><a href="https://arxiv.org/abs/2311.01349">link</a>|<a href = "https://arxiv.org/pdf/2311.01349.pdf">pdf</a>},
  eprint       = {2311.01349},
  journaltitle = {{arXiv}:2311.01349},
  date         = {2023-11-02},
  tag          = {Prob,Beyond,Consulting}
}

@inproceedings{urchs-etal-2023-genderchatgpt,
  title        = {{How Prevalent is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses}},
  author       = {Urchs, Stefanie and Thurner, Veronika and A{\ss}enmacher, Matthias and Heumann, Christian and Thiemichen, Stephanie},
  year         = 2023,
  booktitle    = {1st Workshop on Biased Data in Conversational Agents (co-located with ECML-PKDD 2023)},
  url          = {<br> <a href="https://arxiv.org/abs/2310.03031">link</a>|<a href="https://arxiv.org/pdf/2310.03031.pdf">pdf</a>},
  tag          = {nlp,causal-fair}
}

@article{vahidi2023diversified,
  title        = {Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning},
  author       = {Vahidi, Amirhossein and Wimmer, Lisa and G{\"u}nd{\"u}z, H{\"u}seyin Anil and Bischl, Bernd and H{\"u}llermeier, Eyke and Rezaei, Mina},
  booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)},
  pages={38--55},
  year={2024},
  organization={Springer},
  url={<br> <a href="https://arxiv.org/pdf/2308.14705">pdf</a>}
}

@article{vogel2023cleaning,
  title        = {Cleaning potential of interdental brushes around orthodontic brackets-an in vitro investigation.},
  author       = {Vogel, M and A{\ss}enmacher, M and Gubler, A and Attin, T and Schmidlin, PR},
  year         = 2023,
  journal      = {Swiss Dental Journal},
  volume       = 133,
  number       = 9,
  url          = {<br> <a href="https://pubmed.ncbi.nlm.nih.gov/37096739/">link</a>|<a href="https://old.swissdentaljournal.org/fileadmin/upload_sso/2_Zahnaerzte/2_SDJ/SDJ_2023/SDJ_Pubmed_2023/sdj-2023-09-01.pdf">pdf</a>},
  tag          = {Consulting}
}

@inproceedings{weber2023cascaded,
  title        = {Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis},
  author       = {Weber, Tobias and Ingrisch, Michael and Bischl, Bernd and R{\"u}gamer, David},
  year         = 2023,
  booktitle    = {Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference, PAKDD 2023},
  url          = {<br><a href="https://arxiv.org/abs/2303.11224">link</a>|<a href = "https://arxiv.org/pdf/2303.11224.pdf">pdf</a>},
  date         = {2023-03-20},
  tag          = {Prob, Beyond}
}

@article{zhang2023babys,
  title        = {Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models},
  author       = {Zheyu Zhang and Han Yang and Bolei Ma and David R\"ugamer and Ercong Nie},
  year         = 2023,
  eprint       = {2308.01684},
  archiveprefix = {arXiv},
  primaryclass = {cs.CL},
  date         = {2023-10-23}
}



@unpublished{assenmacher_matthias_2022_6606451,
  title        = {Whitepaper: New Tools for Old Problems},
  author       = {A{\ss}enmacher, Matthias and Dietrich, Mona and Elmaklizi, Ahmed and Hemauer, Eva Maria and Wagenknecht, Nina},
  year         = 2022,
  month        = jun,
  doi          = {10.5281/zenodo.6606451},
  url          = {<br> <a href="https://doi.org/10.5281/zenodo.6606451">link</a>},
  note         = {{This whitepaper has been made possible by the Federal Ministry for Education and Research Germany (BMBF) and the Hochschulrektorenkonferenz (HRK), who were third party sponsors to the KOINet project. The workshop "New Tools for Old Problems" was held at the Friedrich-Alexander-Universit{\"a}t Erlangen-N{\"u}rnberg, who provided technical and institutional support.}},
  tag          = {nlp}
}

@inproceedings{lorenz,
  title        = {Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift},
  author       = {Andreas Kla{\ss} and Sven Lorenz and Martin Lauer-Schmaltz and David R{\"u}gamer and Bernd Bischl and Christopher Mutschler and Felix Ott},
  year         = 2022,
  booktitle    = {IJCAI-ECAI 2022, 1st International Workshop on Spatio-Temporal Reasoning and Learning},
  date         = {2022-06-04},
  tag          = {Prob, Beyond, EML}
}

@misc{bohme2022spelling,
  title        = {Machine learning for spelling acquisition - How accurate is the prediction of specific spelling errors in German primary school students?},
  author       = {B{\"o}hme, Richard and Coors, Stefan and Oster, Patrick and Munser-Kiefer, Meike and Hilbert, Sven},
  year         = 2022,
  month        = 7,
  publisher    = {PsyArXiv},
  doi          = {10.31234/osf.io/shguf},
  url          = {<br><a href="https://psyarxiv.com/shguf">link</a>},
  tag          = {Edu}
}

@article{beaudry.comparative.2022a,
  title        = {A Comparative Analysis of Pediatric Mental Health-Related Emergency Department Utilization in {{Montr\'eal}}, {{Canada}}, before and during the {{COVID-19}} Pandemic},
  author       = {Beaudry, Gabrielle and Drouin, Olivier and Gravel, Jocelyn and Smyrnova, Anna and Bender, Andreas and Orri, Massimiliano and Geoffroy, Marie-Claude and Chadi, Nicholas},
  year         = 2022,
  month        = jun,
  journal      = {Annals of General Psychiatry},
  volume       = 21,
  number       = 1,
  pages        = 17,
  issn         = {1744-859X},
  url          = {<br> <a href="https://doi.org/10.1186/s12991-022-00398-y">link</a>|<a href="https://annals-general-psychiatry.biomedcentral.com/track/pdf/10.1186/s12991-022-00398-y.pdf">pdf</a>},
  note         = {https://doi.org/10.1186/s12991-022-00398-y},
  date         = {2022-06-13},
  tag = {Consulting}
}

@article{liew9,
  title        = {Machine learning for prognostic modelling in individuals with non-specific neck pain},
  author       = {Bernard X.W. Liew and Francisco M. Kovacs and David R{\"u}gamer and Ana Royuela},
  year         = 2022,
  journal      = {European Spine Journal},
  note         = {Accepted},
  date         = {2022-03-12},
  tag          = {Consulting}
}

@article{fritz2021combining,
  title        = {Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany},
  author       = {Cornelius Fritz and Emilio Dorigatti and David R{\"u}gamer},
  year         = 2022,
  journal      = {Scientific Reports},
  volume       = 12,
  pages        = {2045--2322},
  url          = {<br><a href="https://www.nature.com/articles/s41598-022-07757-5">link</a>|<a href = "https://www.nature.com/articles/s41598-022-07757-5.pdf">pdf</a>},
  date         = {2022-03-10},
  tag          = {Prob}
}

@article{letterJCGS,
  title        = {Challenges in Interpreting Epidemiological Surveillance Data - Experiences from Germany},
  author       = {Cornelius Fritz and Giacomo De Nicola and Felix G{\"u}nther and David R{\"u}gamer and Martje Rave and Marc Schneble and Andreas Bender and Maximilian Weigert and Ralph Brinks and Annika Hoyer and Ursula Berger and Helmut K{\"u}chenhoff and G{\"o}ran Kauermann},
  year         = 2022,
  journal      = {Journal of Computational \& Graphical Statistics},
  note         = {Accepted},
  date         = {2022-06-01},
  tag          = {Prob}
}

@inproceedings{dandlpfisterer2022mocf,
  title        = {Multi-Objective Counterfactual Fairness},
  author       = {Dandl, Susanne and Pfisterer, Florian and Bischl, Bernd},
  year         = 2022,
  booktitle    = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
  location     = {Boston, Massachusetts},
  publisher    = {Association for Computing Machinery},
  address      = {New York, NY, USA},
  series       = {GECCO '22},
  pages        = {328--331},
  url          = {<br> <a  href="https://dl.acm.org/doi/10.1145/3520304.3528779">link</a>},
  date         = {2022-07-19},
  tag          = {IML, causal-fair}
}

@inproceedings{fdtf2021,
  title        = {Factorized Structured Regression for Large-Scale Varying Coefficient Models},
  author       = {David R{\"u}gamer and Andreas Bender and Simon Wiegrebe and Daniel Racek and Bernd Bischl and Christian M{\"u}ller and Clemens Stachl},
  year         = 2022,
  booktitle    = {Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)},
  publisher    = {Springer International Publishing},
  url          = {<br><a href="https://arxiv.org/abs/2205.13080">link</a>|<a href = "https://arxiv.org/pdf/2205.13080.pdf">pdf</a>},
  note         = {Accepted},
  tag          = {Prob},
  date         = {2022-06-14}
}

@article{deepregression,
  title        = {deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression},
  author       = {David R{\"u}gamer and Chris Kolb and Cornelius Fritz and Florian Pfisterer and Philipp Kopper and Bernd Bischl and Ruolin Shen and Christina Bukas and Lisa Barros de Andrade e Sousa and Dominik Thalmeier and Philipp Baumann and Lucas Kook and Nadja Klein and Christian L. M{\"u}ller},
  year         = 2022,
  journal      = {Journal of Statistical Software (provisionally accepted)},
  url          = {<br><a href="https://arxiv.org/abs/2104.02705">link</a>|<a href = "https://arxiv.org/pdf/2104.02705.pdf">pdf</a>},
  date         = {2022-04-29},
  tag          = {Prob, RSE}
}

@article{ruegamer2022transforming,
  title        = {Probabilistic Time Series Forecasts with Autoregressive Transformation Models},
  author       = {David R{\"u}gamer and Philipp F. M. Baumann and Thomas Kneib and Torsten Hothorn},
  year         = 2022,
  journal      = {Statistics \& Computing},
  url          = {<br><a href="https://arxiv.org/abs/2110.08248">link</a>|<a href = "https://arxiv.org/pdf/2110.08248.pdf">pdf</a>},
  date         = {2022-11-23},
  eprint       = {2110.08248},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG}
}

@article{AFM,
  title        = {Additive Higher-Order Factorization Machines},
  author       = {David R\"ugamer},
  year         = 2022,
  journal      = {arXiv preprint arXiv:2205.14515},
  url          = {<br><a href="https://arxiv.org/abs/2205.14515">link</a>|<a href = "https://arxiv.org/pdf/2205.14515.pdf">pdf</a>},
  tag          = {Prob},
  eprint       = {2205.13080},
  date         = {2022-05-31}
}

@inproceedings{deng2022efficient,
  title        = {Efficient Automated Deep Learning for Time Series Forecasting},
  author       = {Deng, Difan and Karl, Florian and Hutter, Frank and Bischl, Bernd and Lindauer, Marius},
  year         = 2022,
  booktitle    = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  url          = {<br> <a href="https://arxiv.org/abs/2205.05511"> link </a>},
  eprint       = {2205.05511}
}

@article{Dorigatti2022ImprovedPC,
  title        = {Improved proteasomal cleavage prediction with positive-unlabeled learning},
  author       = {Emilio Dorigatti and Bernd Bischl and Benjamin Schubert},
  year         = 2022,
  month        = 11,
  journal      = {Extended Abstract presented at Machine Learning for Health (ML4H) symposium 2022, November 28th, 2022, New Orleans, United States \& Virtual},
  url          = {<br><a href="https://arxiv.org/abs/2209.07527">link</a> | <a href="https://arxiv.org/pdf/2209.07527.pdf">pdf</a>},
  date         = {2022-11-28},
  eprint       = {2209.07527}
}

@article{dorigatti2022positiveunlabeled,
  title        = {Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection},
  author       = {Emilio Dorigatti and Jann Goschenhofer and Benjamin Schubert and Mina Rezaei and Bernd Bischl},
  year         = 2022,
  journal      = {arXiv preprint arXiv:2109.05232},
  url          = {<br><a href="https://arxiv.org/abs/2201.13192">link</a>|<a href = "https://arxiv.org/pdf/2201.13192.pdf">pdf</a>},
  eprint       = {2201.13192},
  archiveprefix = {arXiv},
  primaryclass = {stat.ML},
  date         = {2022-01-31},
  tag          = {Prob, Beyond}
}

@article{ott2022crossmodal,
  title        = {Cross-Modal Common Representation Learning with Triplet Loss Functions},
  author       = {Felix Ott and David R{\"u}gamer and Lucas Heublein and Bernd Bischl and Christopher Mutschler},
  year         = 2022,
  journal      = {arXiv preprint arXiv:2202.07901},
  url          = {<br><a href="https://arxiv.org/abs/2202.07901">link</a>|<a href = "https://arxiv.org/pdf/2202.07901.pdf">pdf</a>},
  date         = {2022-02-17},
  tag          = {Prob, Beyond},
  eprint       = {2202.07901}
}

@inproceedings{felixacmm,
  title        = {Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift},
  author       = {Felix Ott and David R{\"u}gamer and Lucas Heublein and Bernd Bischl and Christopher Mutschler},
  year         = 2022,
  booktitle    = {ACM Multimedia},
  url          = {<br><a href="https://arxiv.org/abs/2204.03342">link</a>|<a href = "https://arxiv.org/pdf/2204.03342.pdf">pdf</a>},
  note         = {Accepted},
  tag          = {Prob, Beyond},
  eprint       = {2204.03342},
  date         = {2022-06-29}
}

@inproceedings{mrss,
  title        = {Representation Learning for Tablet and Paper Domain Adaptation in favor of Online Handwriting Recognition},
  author       = {Felix Ott and David R{\"u}gamer and Lucas Heublein and Bernd Bischl and Christopher Mutschler},
  year         = 2022,
  booktitle    = {MPRSS 2022},
  tag          = {Prob, Beyond},
  date         = {2022-10-24}
}

@article{ott2022benchmarking,
  title        = {Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens},
  author       = {Felix Ott and David R{\"u}gamer and Lucas Heublein and Tim Hamann and Jens Barth and Bernd Bischl and Christopher Mutschler},
  year         = 2022,
  journal      = {International Journal on Document Analysis and Recognition (IJDAR)},
  url          = {<br><a href="https://arxiv.org/abs/2202.07036">link</a>|<a href = "https://arxiv.org/pdf/2202.07036.pdf">pdf</a>},
  date         = {2022-09-02},
  tag          = {Prob, Beyond, EML},
  eprint       = {2202.07036}
}

@article{freiesleben2022scientific,
  title        = {Scientific inference with interpretable machine learning: Analyzing models to learn about real-world phenomena},
  author       = {Freiesleben, Timo and K{\"o}nig, Gunnar and Molnar, Christoph and Tejero-Cantero, Alvaro},
  year         = 2022,
  journal      = {arXiv preprint arXiv:2206.05487}
}

@article{ghada2022stratiform,
  title        = {Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar},
  author       = {Ghada, Wael and Casellas, Enric and Herbinger, Julia and Garcia-Benad{\'i}, Albert and Bothmann, Ludwig and Estrella, Nicole and Bech, Joan and Menzel, Annette},
  year         = 2022,
  journal      = {Remote Sensing},
  volume       = 14,
  number       = 18,
  issn         = {2072--4292},
  url          = {<br> <a  href="https://www.mdpi.com/2072-4292/14/18/4563">link</a>},
  article-number = 4563,
  date         = {2022-09-13},
  tag          = {Consulting}
}

@article{gijsbers2024amlb,
  title        = {AMLB: an AutoML Benchmark},
  author       = {Gijsbers, Pieter and Bueno, Marcos LP and Coors, Stefan and LeDell, Erin and Poirier, S{\'e}bastien and Thomas, Janek and Bischl, Bernd and Vanschoren, Joaquin},
  journal      = {Journal of Machine Learning Research},
  year         = {2024},
  volume       = {25},
  number       = {101},
  pages        = {1--65},
  url          = {<br><a href="http://jmlr.org/papers/v25/22-0493.html">link</a> | <a href="https://jmlr.org/papers/volume25/22-0493/22-0493.pdf">pdf</a>},
  tag          = {AutoML, EML}
}

@article{hartl_calorie_2018,
  title = {Calorie intake and short-term survival of critically ill patients},
  issn = {0261-5614},
  url = {<br> <a href="http://www.sciencedirect.com/science/article/pii/S0261561418301353">link</a>},
  doi = {10.1016/j.clnu.2018.04.005},
  urldate = {2018-05-03},
  journal = {Clinical Nutrition},
  author = {Hartl, Wolfgang H. and Bender, Andreas and Scheipl, Fabian and Kuppinger, David and Day, Andrew G. and Küchenhoff, Helmut},
  month = apr,
  year = {2018},
  keywords = {Critical care, Survival, Caloric supply, Nutrition},
  tag = {Survival, Consulting}
}


@article{hartl2022protein,
  title        = {Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models},
  author       = {Hartl, Wolfgang H. and Kopper, Philipp and Bender, Andreas and Scheipl, Fabian and Day, Andrew G. and Elke, Gunnar and K{\"u}chenhoff, Helmut},
  year         = 2022,
  journal      = {Critical Care},
  volume       = 26,
  pages        = 7,
  url          = {<br><a href = "https://ccforum.biomedcentral.com/articles/10.1186/s13054-021-03870-5">link</a>|<a href = "https://ccforum.biomedcentral.com/track/pdf/10.1186/s13054-021-03870-5.pdf">pdf</a>},
  date         = {2022-01-11},
  tag          = {Survival, Consulting}
}

@inproceedings{hurmer2022transformer,
  title        = {Transformer Model for Genome Sequence Analysis},
  author       = {Hurmer, Noah and To, Xiao-Yin and Binder, Martin and G{\"u}nd{\"u}z, H{\"u}seyin Anil and M{\"u}nch, Philipp C and Mreches, Ren{\'e} and McHardy, Alice C and Bischl, Bernd and Rezaei, Mina},
  year         = 2022,
  journal      = {LMRL Workshop - NeurIPS 2022},
  url          = {<br> <a href="https://openreview.net/forum?id=xwn3ywFknri"> link </a> | <a href="https://openreview.net/pdf?id=xwn3ywFknri"> pdf </a>}
}

@article{Dorigatti2022WhatCL,
  title        = {What cleaves? Is proteasomal cleavage prediction reaching a ceiling?},
  author       = {Ingo Ziegler and Bolei Ma and Ercong Nie and Bernd Bischl and David R{\"u}gamer and Benjamin Schubert and Emilio Dorigatti},
  year         = 2022,
  month        = 10,
  journal      = {Extended Abstract presented at the NeurIPS Learning Meaningful Representations of Life (LMRL) workshop 2022},
  url          = {<br><a href="https://arxiv.org/abs/2210.12991">link</a> | <a href="https://arxiv.org/pdf/2210.12991.pdf">pdf</a>},
  date         = {2022-10-25},
  eprint       = {2209.07527}
}

@inproceedings{cleaves,
  title        = {What cleaves? Is proteasomal cleavage prediction reaching a ceiling?},
  author       = {Ingo Ziegler and Bolei Ma and Ercong Nie and Bernd Bischl and David R{\"u}gamer and Benjamin Schubert and Emilio Dorigatti},
  year         = 2022,
  booktitle    = {NeurIPS 2022 Workshop on Learning Meaningful Representations of Life (LMRL)},
  url          = {<br><a href="https://arxiv.org/abs/2210.12991">link</a>|<a href = "https://arxiv.org/pdf/2210.12991.pdf">pdf</a>},
  tag          = {Prob, Consulting},
  date         = {2022-10-24}
}

@article{karl2022multi,
  title        = {Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview},
  author       = {Florian Karl and
                  Tobias Pielok and
                  Julia Moosbauer and
                  Florian Pfisterer and
                  Stefan Coors and
                  Martin Binder and
                  Lennart Schneider and
                  Janek Thomas and
                  Jakob Richter and
                  Michel Lang and
                  Eduardo C. Garrido{-}Merch{\'{a}}n and
                  J{\"{u}}rgen Branke and
                  Bernd Bischl},
  Journal      = {ACM Transactions on Evolutionary Learning and Optimization},
  volume       = {3},
  number       = {4},
  pages        = {1--50},
  year         = {2023},
  publisher    = {ACM New York, NY},
  tag          = {AutoML, EML}
}

@article{rath.2022,
  title        = {Data augmentation for disruption prediction via robust surrogate models},
  author       = {Katharina Rath and David R{\"u}gamer and Bernd Bischl and Udo von Toussaint and Christina Rea and Andrew Maris and Robert Granetz and Christopher Albert},
  year         = 2022,
  journal      = {Journal of Plasma Physics},
  note         = {Accepted},
  date         = {2022-07-29},
  tag          = {Prob, Consulting}
}

@inproceedings{koch-etal-2022-pre,
  title        = {Pre-trained language models evaluating themselves - A comparative study},
  author       = {Koch, Philipp  and A{\ss}enmacher, Matthias  and Heumann, Christian},
  year         = 2022,
  month        = may,
  booktitle    = {Proceedings of the Third Workshop on Insights from Negative Results in NLP},
  publisher    = {Association for Computational Linguistics},
  address      = {Dublin, Ireland},
  pages        = {180--187},
  url          = {<br> <a href="https://aclanthology.org/2022.insights-1.25">link</a>|<a href="https://aclanthology.org/2022.insights-1.25.pdf">pdf</a>},
  tag          = {nlp}
}

@article{kook,
  title        = {Estimating Conditional Distributions with Neural Networks using R package deeptrafo},
  author       = {Kook, Lucas and Baumann, Philipp FM and D{\"u}rr, Oliver and Sick, Beate and R{\"u}gamer, David},
  year         = 2024,
  journal      = {Journal of Statistical Software},
  url          = {<br><a href="https://arxiv.org/abs/2211.13665">link</a>|<a href = "https://arxiv.org/pdf/2211.13665.pdf">pdf</a>},
  date         = {2024-04-02},
  tag          = {Prob}
}

@inproceedings{lebmeier-etal-2022-absa,
  title        = {On the current state of reproducibility and reporting of uncertainty for Aspect-based Sentiment Analysis},
  author       = {Lebmeier, Elisabeth and A{\ss}enmacher, Matthias and Heumann, Christian},
  year         = 2022,
  month        = 9,
  booktitle    = {Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)},
  publisher    = {Springer International Publishing},
  address      = {Grenoble, France},
  url          = {<br> <a href = "https://2022.ecmlpkdd.org/wp-content/uploads/2022/09/sub_561.pdf">pdf</a>},
  tag          = {nlp}
}

@inproceedings{li2022analyzing,
  title        = {Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models},
  author       = {Li*, Yawei and Khakzar*, Ashkan and Zhang, Yang and Sanisoglu, Mirac and Kim, Seong Tae and Rezaei, Mina and Bischl, Bernd and Navab, Nassir},
  year         = 2022,
  booktitle    = {2nd Workshop on Interpretable Machine Learning in Healthcare (IMLH 2022) at the the 39th International Conference on Machine Learning (ICML 2022)},
  address      = {Baltimore, MD, USA}
}

@incollection{bothmann_ki_2022,
  title        = {K{\"u}nstliche Intelligenz in der Strafverfolgung},
  author       = {Ludwig Bothmann},
  year         = 2022,
  booktitle    = {Cyberkriminalit{\"a}t},
  publisher    = {LMU Munich},
  address      = {Munich},
  url          = {<br> <a  href="https://epub.ub.uni-muenchen.de/92172/">link</a>},
  editor       = {Kristina Peters},
  tag          = {causal-fair},
  date         = {2022-09-14}
}

@article{mittermeier22,
  title        = {A Deep Learning Version of Hess \& Brezowskys Classification of Gro{\ss}wetterlagen over Europe: Projection of Future Changes in a CMIP6 Large Ensemble},
  author       = {Magdalena Mittermeier and Maximilian Weigert and David R{\"u}gamer and Helmut K{\"u}chenhoff and Ralf Ludwig},
  year         = 2022,
  journal      = {Environmental Research Letters},
  note         = {Accepted.},
  date         = {2022-07-12},
  tag          = {Prob, Consulting}
}

@article{2021automated,
  title        = {Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers},
  author       = {Moosbauer, Julia and Binder, Martin and Schneider, Lennart and Pfisterer, Florian and Becker, Marc and Lang, Michel and Kotthoff, Lars and Bischl, Bernd},
  year         = {2022},
  journal      = {IEEE Transactions on Evolutionary Computation},
  publisher    = {IEEE},
  volume       = {26},
  number       = {6},
  pages        = {1336--1350},
  url          = {<br> <a href="https://ieeexplore.ieee.org/abstract/document/9913342"> link </a> | <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9913342"> pdf</a>},
  tag          = {AutoML, RSE, EML}
}

@article{pargent2022regularized,
  title        = {Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features},
  author       = {Pargent, Florian and Pfisterer, Florian and Thomas, Janek and Bischl, Bernd},
  year         = 2022,
  journal      = {Computational Statistics},
  publisher    = {Springer},
  pages        = {1--22},
  url          = {<br><a href="https://link.springer.com/article/10.1007/s00180-022-01207-6">link</a> | <a href="https://link.springer.com/content/pdf/10.1007/s00180-022-01207-6.pdf">pdf</a>},
  tag          = {EML}
}

@inproceedings{fairsddr,
  title        = {Uncertainty as a key to fair data-driven decision making},
  author       = {Patrick Kaiser and David R{\"u}gamer and Christopher Kern},
  year         = 2022,
  booktitle    = {NeurIPS 2022 Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML)},
  url          = {<br><a href="https://arxiv.org/abs/2211.02730">link</a>|<a href = "https://arxiv.org/pdf/2211.02730.pdf">pdf</a>},
  tag          = {Prob, Consulting},
  date         = {2022-10-24}
}

@inproceedings{pfisterer_yahpo_2021,
  title        = {{Yahpo Gym} -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization},
  author       = {Pfisterer, Florian and Schneider, Lennart and Moosbauer, Julia and Binder, Martin and Bischl, Bernd},
  year         = {2022},
  booktitle    = {International Conference on Automated Machine Learning},
  pages        = {3--1},
  url          = {<br><a href="https://proceedings.mlr.press/v188/pfisterer22a.html">link</a> | <a href="https://proceedings.mlr.press/v188/pfisterer22a/pfisterer22a.pdf">pdf</a>},
  organization = {PMLR},
  tag          = {AutoML, RSE, EML}
}

@inproceedings{kopper2022deep,
  title        = {DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis},
  author       = {Philipp Kopper and Simon Wiegrebe and Bernd Bischl and Andreas Bender and David R{\"u}gamer},
  year         = 2022,
  booktitle    = {Advances in Knowledge Discovery and Data Mining},
  publisher    = {Springer International Publishing},
  pages        = {249--261},
  url          = {<br><a href = "https://link.springer.com/chapter/10.1007/978-3-031-05936-0_20">link</a>|<a href = "https://link.springer.com/content/pdf/10.1007/978-3-031-05936-0.pdf">pdf</a>},
  date         = {2022-01-18},
  tag          = {Survival, Prob}
}

@article{ruegamer2020selfmade,
  title        = {Selective Inference for Additive and Mixed Models},
  author       = {R{\"u}gamer, David and Baumann, Philipp and Greven, Sonja},
  year         = 2022,
  journal      = {Computational Statistics and Data Analysis},
  volume       = 167,
  pages        = 107350,
  url          = {<br><a href="https://www.sciencedirect.com/science/article/pii/S0167947321001845">link</a>|<a href = "https://arxiv.org/pdf/2007.07930.pdf">pdf</a>},
  date         = {2022-03-01},
  tag          = {Prob}
}

@inproceedings{rezaei2021learning,
  title        = {Joint Debiased Representation Learning and Imbalanced Data Clustering},
  author       = {Rezaei, Mina and Dorigatti, Emilio and R{\"u}gamer, David and Bischl, Bernd},
  year         = 2022,
  journal      = {arXiv preprint arXiv:2109.05232},
  booktitle    = {IEEE ICDM Workshop on Deep Learning and Clustering},
  url          = {<br><a href="https://arxiv.org/abs/2109.05232">link</a>|<a href = "https://arxiv.org/pdf/2109.05232.pdf">pdf</a>},
  date         = {2022-10-21},
  tag          = {Beyond}
}

@article{schalk2021accelerated,
  title        = {Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization},
  author       = {Schalk, Daniel and Bischl, Bernd and R{\"u}gamer, David},
  year         = 2022,
  journal      = {Journal of Computational and Graphical Statistics},
  url          = {<br> <a href="https://arxiv.org/abs/2110.03513"> link </a> | <a href="https://arxiv.org/pdf/2110.03513"> pdf </a>},
  date         = {2022-08-10},
  tag          = {Boosting}
}

@article{schalk2022rocglm,
  title        = {Distributed non-disclosive validation of predictive models by a modified ROC-GLM},
  author       = {Schalk, Daniel and Hoffmann, Verena and Bischl, Bernd and Mansmann, Ulrich},
  year         = 2022,
  journal      = {arXiv preprint arXiv:2202.10828},
  url          = {<br> <a href="https://arxiv.org/abs/2203.10828"> link </a> | <a href="https://arxiv.org/pdf/2203.10828"> pdf </a>},
  eprint       = {2203.10828},
  archiveprefix = {arXiv},
  date         = {2022-03-22},
  primaryclass = {stat.CO}
}

@article{arma,
  title        = {ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling},
  author       = {Schiele, Philipp and Berninger, Christoph and R{\"u}gamer, David},
  year         = 2022,
  journal      = {arXiv preprint arXiv:2208.14919},
  publisher    = {arXiv},
  url          = {<br><a href="https://arxiv.org/abs/2208.14919">link</a>|<a href = "https://arxiv.org/pdf/2208.14919.pdf">pdf</a>},
  eprint       = {2208.14919},
  date         = {2022-08-31},
  tag          = {Prob}
}

@inproceedings{schneider2022tackling,
  title        = {Tackling Neural Architecture Search With Quality Diversity Optimization},
  author       = {Schneider, Lennart and Pfisterer, Florian and Kent, Paul and Branke, Juergen and Bischl, Bernd and Thomas, Janek},
  year         = {2022},
  booktitle    = {International Conference on Automated Machine Learning},
  pages        = {9--1},
  url          = {<br><a href="https://proceedings.mlr.press/v188/schneider22a.html">link</a> | <a href="https://proceedings.mlr.press/v188/schneider22a/schneider22a.pdf">pdf</a>},
  organization = {PMLR},
  tag          = {AutoML, EML}
}

@inproceedings{schneider2022qdbench,
  title        = {A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models},
  author       = {Schneider, Lennart and Pfisterer, Florian and Thomas, Janek and Bischl, Bernd},
  year         = {2022},
  booktitle    = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
  pages        = {2136--2142},
  url          = {<br><a href="https://dl.acm.org/doi/abs/10.1145/3520304.3534003">link</a> | <a href="https://dl.acm.org/doi/pdf/10.1145/3520304.3534003">pdf</a>},
  tag          = {AutoML}
}

@inproceedings{schneider22ela,
  title        = {HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis},
  author       = {Schneider, Lennart and Sch{\"a}permeier, Lennart and Prager, Raphael Patrick and Bischl, Bernd and Trautmann, Heike and Kerschke, Pascal},
  year         = {2022},
  booktitle    = {Parallel Problem Solving from Nature -- PPSN XVII},
  pages        = {575--589},
  url          = {<br><a href="https://rdcu.be/c7AHE">link</a> | <a href="https://link.springer.com/content/pdf/10.1007/978-3-031-14714-2_40.pdf?pdf=inline%20link">pdf</a>},
  tag          = {AutoML}
}

@article{sonabend.avoiding.2022,
  title = {Avoiding {{C-hacking}} When Evaluating Survival Distribution Predictions with Discrimination Measures},
  author = {Sonabend, Raphael and Bender, Andreas and Vollmer, Sebastian},
  year = {2022},
  month = sep,
  journal = {Bioinformatics},
  volume = {38},
  number = {17},
  pages = {4178--4184},
  issn = {1367-4803},
  urldate = {2022-11-02},
  url = {<br><a href="https://doi.org/10.1093/bioinformatics/btac451">link</a>|<a href="https://academic.oup.com/bioinformatics/article-pdf/38/17/4178/49889652/btac451.pdf">pdf</a>},
  tag = {Survival}
}



@article{dandl2022hte2,
	title = {Heterogeneous treatment effect estimation for observational data using model-based forests},
	volume = {33},
	ISSN = {1477-0334},
	DOI = {10.1177/09622802231224628},
	number = {3},
	journal = {Statistical Methods in Medical Research},
	publisher = {SAGE Publications},
	author = {Dandl,  Susanne and Bender,  Andreas and Hothorn,  Torsten},
	year = {2024},
	pages = {392–413}, 
	date = {2024-01-02},
	tag = {Survival, causal-fair},
	url        = {<br> <a  href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10981193/">link</a>},
}

@article{turkoglu2022film,
  title        = {FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation},
  author       = {Turkoglu, Mehmet Ozgur and Becker, Alexander and G{\"u}nd{\"u}z, H{\"u}seyin Anil and Rezaei, Mina and Bischl, Bernd and Daudt, Rodrigo Caye and D'Aronco, Stefano and Wegner, Jan Dirk and Schindler, Konrad},
  year         = 2022,
  journal      = {Advances in Neural Information Processing Systems (NeurIPS 2022)},
  url          = {<br> <a href="https://openreview.net/forum?id=7vDt4_ulNyB"> link </a> | <a href="https://openreview.net/pdf?id=7vDt4_ulNyB"> pdf </a>}
}

@article{coors2021autocompboost,
  title        = {Automatic Componentwise Boosting: An Interpretable AutoML System},
  author       = {{*Coors}, Stefan and {*Schalk}, Daniel and Bischl, Bernd and R{\"u}gamer, David},
  year         = 2021,
  journal      = {ECML-PKDD Workshop on Automating Data Science},
  url          = {<br> <a href="https://arxiv.org/abs/2109.05583"> link </a> | <a href="https://arxiv.org/pdf/2109.05583.pdf"> pdf </a>},
  note         = {Accepted},
  date         = {2021-07-23},
  tag          = {Boosting, AutoML}
}

@article{Rath2021,
title = "Orbit Classification and Sensitivity Analysis in Dynamical Systems Using Surrogate Models",
author = "Katharina Rath and Albert, {Christopher G.} and Bernd Bischl and Toussaint, {Udo von}",
year = "2021",
month = nov,
day = "5",
volume = "3",
journal = "Physical Sciences Forum",
publisher = "MDPI AG",
number = "1",
note = "40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2021 ; Conference date: 04-07-2021 Through 09-07-2021",
url = {<br> <a href="https://www.tugraz.at/events/maxent2021/info/"> link </a>},
}

@article{agrawal2020debiasing,
  title        = {Debiasing classifiers: is reality at variance with expectation?},
  author       = {Agrawal, Ashrya and Pfisterer, Florian and Bischl, Bernd and Chen, Jiahao and Sood, Srijan and Shah, Sameena and Buet-Golfouse, Francois and Mateen, Bilal A and Vollmer, Sebastian J},
  year         = 2021,
  journal      = {Available at SSRN 3711681},
  url          = {<br><a href="https://dx.doi.org/10.2139/ssrn.3711681">link</a>},
  date         = {2021-01-11}
}

@article{bauer_mundus_2021a,
  title        = {Mundus {{Vult Decipi}}, {{Ergo Decipiatur}}: {{Visual Communication}} of {{Uncertainty}} in {{Election Polls}}},
  shorttitle   = {Mundus {{Vult Decipi}}, {{Ergo Decipiatur}}},
  author       = {Bauer, Alexander and Klima, Andr{\'e} and Gau{\ss}, Jana and K{\"u}mpel, Hannah and Bender, Andreas and K{\"u}chenhoff, Helmut},
  year         = 2021,
  month        = sep,
  journal      = {PS: Political Science \& Politics},
  publisher    = {{Cambridge University Press}},
  pages        = {1--7},
  doi          = {10.1017/S1049096521000950},
  issn         = {1049-0965, 1537-5935},
  url          = {<br> <a href ="https://doi.org/10.1017/S1049096521000950">link</a>|<a href="https://arxiv.org/pdf/2105.07811.pdf">pdf</a>},
  date         = {2021-09-09},
  tag          = {Politics}
}

@article{pratschke_association_nodate,
  title = {Association between donor age and risk of graft failure after liver transplantation: {An} analysis of the {Eurotransplant} database - a retrospective cohort study},
  volume = {0},
  copyright = {This article is protected by copyright. All rights reserved.},
  issn = {1432-2277},
  shorttitle = {Association between donor age and risk of graft failure after liver transplantation},
  url = {<br> <a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/tri.13357">link</a>},
  doi = {10.1111/tri.13357},
  language = {en},
  number = {ja},
  year = {2018},
  date = {2018-09-27},
  urldate = {2018-10-16},
  journal = {Transplant International},
  author = {Pratschke, S. and Bender, A. and Boesch, F. and Andrassy, J. and Rosmalen, M. van and Samuel, U. and Rogiers, X. and Meiser, B. and Küchenhoff, H. and Driesslein, D. and Werner, J. and Guba, M. and Angele, M. K.},
  tag = {Survival, Consulting},
  url = {<br> <a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/tri.13357">link</a>|<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/tri.13357">pdf</a>}
}


@article{bender_generalized_2018,
  title = {A generalized additive model approach to time-to-event analysis},
  volume = {18},
  issn = {1471-082X},
  url = {<br> <a href="https://doi.org/10.1177/1471082X17748083">link</a>|<a href="https://adibender.netlify.com/files/pamtutorial.pdf">pdf</a>},
  doi = {10.1177/1471082X17748083},
  language = {en},
  number = {3-4},
  urldate = {2019-03-27},
  journal = {Statistical Modelling},
  author = {Bender, Andreas and Groll, Andreas and Scheipl, Fabian},
  month = jun,
  year = {2018},
  pages = {299--321},
  tag = {Survival},
  url = {<br> <a href="https://doi.org/10.1177/1471082X17748083">link</a>|<a href="https://adibender.netlify.com/files/pamtutorial.pdf">pdf</a>}
}




@inproceedings{bender_general_2021,
  title        = {A General Machine Learning Framework for Survival Analysis},
  author       = {Bender, Andreas and R{\"u}gamer, David and Scheipl, Fabian and Bischl, Bernd},
  year         = 2021,
  booktitle    = {Machine Learning and Knowledge Discovery in Databases},
  location     = {Cham},
  publisher    = {Springer International Publishing},
  series       = {Lecture Notes in Computer Science},
  pages        = {158--173},
  doi          = {10.1007/978-3-030-67664-3_10},
  isbn         = {978-3-030-67664-3},
  url          = {<br> <a href="https://link.springer.com/chapter/10.1007/978-3-030-67664-3_10"> link </a>|<a href="https://arxiv.org/pdf/2006.15442.pdf"> pdf</a>},
  editor       = {Hutter, Frank and Kersting, Kristian and Lijffijt, Jefrey and Valera, Isabel},
  date         = {2021-02-25},
  langid       = {english},
  tag          = {Survival, Prob}
}

@article{liew6,
  title        = {A novel metric of reliability in pressure pain threshold measurement},
  author       = {Bernard Liew and Ho Yin Lee and David  R{\"u}gamer and Alessandro M. De Nunzio and Nicola R. Heneghan and Deborah Falla and David W. Evans},
  year         = 2021,
  journal      = {Scientific Reports (Nature)},
  note         = {Accepted},
  date         = {2021-03-12},
  tag          = {Consulting}
}

@article{liew7,
  title        = {Comparing machine, deep, and transfer learning in predicting joint moments in running},
  author       = {Bernard X.W. Liew and David  R{\"u}gamer and Xiao Jun Zhai and Susan Morris and Kevin Netto},
  year         = 2021,
  journal      = {Journal of Biomechanics},
  note         = {Accepted},
  date         = {2021-10-13},
  tag          = {Consulting, Prob}
}

@article{liew8,
  title        = {The mechanical energetics of walking across the adult lifespan},
  author       = {Bernard X.W. Liew and David R{\"u}gamer and Kim Duffy and Matthew Taylor and Jo Jackson},
  year         = 2021,
  journal      = {PloS one},
  volume       = 16,
  number       = 11,
  pages        = {e0259817},
  url          = {<br><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0259817">link</a>},
  date         = {2021-10-27},
  tag          = {Prob, Consulting}
}

@article{berninger2021,
  title        = {A Bayesian Time-Varying Autoregressive Model for Improved Short- and Long-Term Prediction},
  author       = {Berninger, Christoph and St{\"o}cker, Almond and R{\"u}gamer, David},
  year         = 2021,
  journal      = {Journal of Forecasting},
  url          = {<br><a href="https://onlinelibrary.wiley.com/doi/10.1002/for.2802">link</a>|<a href = "https://onlinelibrary.wiley.com/doi/epdf/10.1002/for.2802">pdf</a>},
  date         = {2021-07-07},
  tag          = {Prob}
}

@article{fallah.2021,
  title        = {Modern Machine Learning Approaches Applied in Spinal Pain Research},
  author       = {Deborah Falla and Valter Devecchi and David Jimenez-Grande and David R{\"u}gamer and Bernard Liew},
  year         = 2021,
  journal      = {Journal of Electromyography and Kinesiology},
  date         = {2021-08-03},
  tag          = {Consulting, Prob}
}

@article{fabritius_bicentric_2021,
  title        = {Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer},
  author       = {Fabritius, Matthias Philipp and Seidensticker, Max and Rueckel, Johannes and Heinze, Constanze and Pech, Maciej and Paprottka, Karolin Johanna and Paprottka, Philipp Marius and Topalis, Johanna and Bender, Andreas and Ricke, Jens and Mittermeier, Andreas and Ingrisch, Michael},
  year         = 2021,
  volume       = 10,
  number       = 16,
  pages        = 3668,
  doi          = {10.3390/jcm10163668},
  url          = {<br> <a href ="https://www.mdpi.com/2077-0383/10/16/3668">link</a>|<a href="https://www.mdpi.com/2077-0383/10/16/3668/pdf">pdf</a>},
  urldate      = {2021-08-19},
  journaltitle = {Journal of Clinical Medicine},
  date         = {2021-08-19},
  langid       = {english},
  tag          = {Consulting, Survival}
}

@inproceedings{ott.2021,
  title        = {{Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach}},
  author       = {Felix Ott and David R{\"u}gamer and Lucas Heublein and Bernd Bischl and Christopher Mutschler},
  year         = 2021,
  booktitle    = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  note         = {Accepted},
  date         = {2021-10-03},
  tag          = {Prob, Consulting}
}

@article{pfisterer2021mcboost,
  title        = {mcboost: Multi-Calibration Boosting for R},
  author       = {Florian Pfisterer and Christoph Kern and Susanne Dandl and Matthew Sun and Michael P. Kim and Bernd Bischl},
  year         = 2021,
  journal      = {Journal of Open Source Software},
  publisher    = {The Open Journal},
  volume       = 6,
  number       = 64,
  pages        = 3453,
  doi          = {10.21105/joss.03453},
  url          = {<br><a href="https://doi.org/10.21105/joss.03453">link</a>},
  date         = {2021-08-06},
  tag          = {Boosting, RSE}
}

@article{gerostathopoulos2021automated,
  title        = {Automated Online Experiment-Driven Adaptation--Mechanics and Cost Aspects},
  author       = {Gerostathopoulos, Ilias and Pl{\'a}{\v{s}}il, Franti{\v{s}}ek and Prehofer, Christian and Thomas, Janek and Bischl, Bernd},
  year         = 2021,
  journal      = {IEEE Access},
  publisher    = {IEEE},
  volume       = 9,
  pages        = {58079--58087},
  url          = {<br><a href="https://ieeexplore.ieee.org/abstract/document/9399075">link</a> | <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9399075">pdf</a>},
  date         = {2021-04-08},
  tag          = {AutoML}
}

@misc{gijsbers_gecco,
  title        = {Meta-Learning for Symbolic Hyperparameter Defaults},
  author       = {Gijsbers, Pieter and Pfisterer, Florian and Jan N. van Rijn and Bernd Bischl and Joaquin Vanschoren},
  year         = 2021,
  booktitle    = {2021 Genetic and Evolutionary Computation Conference Companion (GECCO '21 Companion)},
  publisher    = {ACM},
  address      = {Lile, France},
  doi          = {10.1145/3449726.3459532},
  url          = {<br><a href="https://arxiv.org/abs/2106.05767">link</a>},
  date         = {2021-05-21},
  tag          = {AutoML}
}

@article{hilbert2021ml_in_education,
  title        = {Machine learning for the educational sciences},
  author       = {Hilbert, Sven and Coors, Stefan and Kraus, Elisabeth and Bischl, Bernd and Lindl, Alfred and Frei, Mario and Wild, Johannes and Krauss, Stefan and Goretzko, David and Stachl, Clemens},
  year         = 2021,
  journal      = {Review of Education},
  volume       = 9,
  number       = 3,
  pages        = {e3310},
  doi          = {https://doi.org/10.1002/rev3.3310},
  url          = {<br><a href="https://bera-journals.onlinelibrary.wiley.com/doi/abs/10.1002/rev3.3310">link</a> | <a href="https://bera-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/rev3.3310">pdf</a>},
  keywords     = {Big Data, education, machine learning},
  eprint       = {https://bera-journals.onlinelibrary.wiley.com/doi/pdf/10.1002/rev3.3310},
  date         = {2021-11-25},
  tag          = {Edu}
}

@inproceedings{goschenhofer2021deep,
  title        = {Deep Semi-Supervised Learning for Time Series Classification},
  author       = {Jann Goschenhofer and Rasmus Hvingelby and David R{\"u}gamer and Janek Thomas and Moritz Wagner and Bernd Bischl},
  year         = 2021,
  booktitle    = {20th IEEE International Conference on Machine Learning and Applications (ICMLA)},
  url          = {<br><a href="https://arxiv.org/abs/2102.03622">link</a> | <a href = "https://arxiv.org/pdf/2102.03622.pdf">pdf</a>},
  eprint       = {2102.03622},
  date         = {2021-09-18},
  tag          = {Prob, Beyond}
}

@inproceedings{koenig2021relative,
  title        = {Relative Feature Importance},
  author       = {K{\"o}nig, Gunnar and Molnar, Christoph and Bischl, Bernd and Grosse-Wentrup, Moritz},
  year         = 2021,
  booktitle    = {2020 25th International Conference on Pattern Recognition (ICPR)},
  pages        = {9318--9325},
  url          = {<br> <a href="https://ieeexplore.ieee.org/abstract/document/9413090"> link </a> | <a href="https://arxiv.org/pdf/2007.08283"> pdf </a>},
  date         = {2021-05-05},
  tag          = {IML}
}

@article{kuchenhoff_analysis_nodate,
  title        = {Analysis of the early {COVID}-19 epidemic curve in Germany by regression models with change points},
  author       = {K{\"u}chenhoff, Helmut and G{\"u}nther, Felix and H{\"o}hle, Michael and Bender, Andreas},
  year         = 2021,
  pages        = {1--17},
  doi          = {10.1017/S0950268821000558},
  issn         = {0950-2688, 1469-4409},
  url          = {<br><a href="https://www.cambridge.org/core/journals/epidemiology-and-infection/article/analysis-of-the-early-covid19-epidemic-curve-in-germany-by-regression-models-with-change-points/F973452AD94C354A280BC7D72971B4DB#">link</a>|<a href="https://www.medrxiv.org/content/10.1101/2020.10.29.20222265v2.full.pdf">pdf</a>},
  journaltitle = {Epidemiology \& Infection},
  date         = {2021-03-11},
  langid       = {english},
  tag          = {Biostats, Consulting}
}

@article{kaminwar2021structured,
  title        = {Structured Verification of Machine Learning Models in Industrial Settings},
  author       = {Kaminwar, Sai Rahul and Goschenhofer, Jann and Thomas, Janek and Thon, Ingo and Bischl, Bernd},
  year         = 2021,
  journal      = {Big Data},
  publisher    = {Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…},
  url          = {<br> <a href="https://www.liebertpub.com/doi/abs/10.1089/big.2021.0112"> link </a>},
  tag          = {AutoML}
}

@inproceedings{pmlr-v146-kopper21a,
  title        = {Semi-Structured Deep Piecewise Exponential Models},
  author       = {Kopper, Philipp and P{\"o}lsterl, Sebastian and Wachinger, Christian and Bischl, Bernd and Bender, Andreas and R{\"u}gamer, David},
  year         = 2021,
  month        = 3,
  booktitle    = {Proceedings of AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021},
  publisher    = {PMLR},
  series       = {Proceedings of Machine Learning Research},
  volume       = 146,
  pages        = {40--53},
  url          = {<br><a href = "http://proceedings.mlr.press/v146/kopper21a.html">link</a>|<a href = "http://proceedings.mlr.press/v146/kopper21a/kopper21a.pdf">pdf</a>},
  editor       = {Greiner, Russell and Kumar, Neeraj and Gerds, Thomas Alexander and van der Schaar, Mihaela},
  tag          = {Survival, Prob}
}

@article{mittermeier2021,
  title        = {Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach},
  author       = {Magdalena Mittermeier and Maximilian Weigert and David R{\"u}gamer},
  year         = 2021,
  journal      = {NeurIPS 2021, Tackling Climate Change with Machine Learning},
  url          = {<br><a href="https://arxiv.org/abs/2111.05303">link</a>|<a href = "https://arxiv.org/pdf/2111.05303.pdf">pdf</a>},
  date         = {2021-10-23},
  tag          = {Prob, Consulting}
}

@misc{mlr3book,
  title        = {mlr3 book},
  author       = {Marc Becker and Martin Binder and Bernd Bischl and Michel Lang and Florian Pfisterer and Nicholas G. Reich and Jakob Richter and Patrick Schratz and Raphael Sonabend},
  year         = 2021,
  month        = {03},
  day          = {04},
  url          = {<br><a href="https://mlr3book.mlr-org.com">link</a>},
  tag          = {RSE}
}

@article{JMLR:v22:21-0281,
  title        = {mlr3pipelines - Flexible Machine Learning Pipelines in R},
  author       = {Martin Binder and Florian Pfisterer and Michel Lang and Lennart Schneider and Lars Kotthoff and Bernd Bischl},
  year         = {2021},
  journal      = {Journal of Machine Learning Research},
  volume       = {22},
  number       = {184},
  pages        = {1--7},
  url          = {<br><a href="http://jmlr.org/papers/v22/21-0281.html">link</a> | <a href="https://www.jmlr.org/papers/volume22/21-0281/21-0281.pdf">pdf</a>},
  tag          = {AutoML, RSE, EML}
}

@article{pfisterer2018learning,
  title        = {Learning Multiple Defaults for Machine Learning Algorithms},
  author       = {Pfisterer, Florian and van Rijn, Jan N and Probst, Philipp and M{\"u}ller, Andreas and Bischl, Bernd},
  year         = 2021,
  booktitle    = {2021 Genetic and Evolutionary Computation Conference Companion (GECCO '21 Companion)},
  publisher    = {ACM},
  address      = {Lile, France},
  doi          = {10.1145/3449726.3459532},
  url          = {<br> <a href="https://arxiv.org/abs/1811.09409">link</a> | <a href="https://arxiv.org/pdf/1811.09409">pdf</a>},
  date         = {2021-05-21},
  tag          = {AutoML, EML}
}

@inproceedings{Baumann.2020,
  title        = {Deep Conditional Transformation Models},
  author       = {Philipp F. M. Baumann and Torsten Hothorn and David R{\"u}gamer},
  year         = 2021,
  booktitle    = {Machine Learning and Knowledge Discovery in Databases. Research Track},
  publisher    = {Springer International Publishing},
  pages        = {3--18},
  url          = {<br><a href="https://link.springer.com/chapter/10.1007/978-3-030-86523-8_1">link</a>|<a href = "https://arxiv.org/pdf/2010.07860.pdf">pdf</a>},
  eprinttype   = {arxiv},
  eprint       = {2010.07860},
  date         = {2021-06-18},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  tag          = {Prob}
}

@article{python_downscaling_2021,
  title        = {A Downscaling Approach to Compare {{COVID}}-19 Count Data from Databases Aggregated at Different Spatial Scales},
  author       = {Python, Andre and Bender, Andreas and Blangiardo, Marta and Illian, Janine B. and Lin, Ying and Liu, Baoli and Lucas, Tim C. D. and Tan, Siwei and Wen, Yingying and Svanidze, Davit and Yin, Jianwei},
  year         = 2021,
  month        = sep,
  journal      = {Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  volume       = {},
  number       = {},
  doi          = {10.1111/rssa.12738},
  issn         = {1467-985X},
  url          = {<br> <a href="https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssa.12738"> link </a>|<a href="https://rss.onlinelibrary.wiley.com/doi/epdf/10.1111/rssa.12738"> pdf</a>},
  date         = {2021-09-16},
  tag          = {Consulting, Spatial}
}

@article{python_predicting_2021,
  title        = {Predicting non-state terrorism worldwide},
  author       = {Python, Andre and Bender, Andreas and Nandi, Anita K. and Hancock, Penelope A. and Arambepola, Rohan and Brandsch, J{\"u}rgen and Lucas, Tim C. D.},
  year         = {2021},
  volume       = 7,
  number       = 31,
  pages        = {eabg4778},
  doi          = {10.1126/sciadv.abg4778},
  issn         = {2375--2548},
  url          = {<br> <a href ="https://advances.sciencemag.org/content/7/31/eabg4778">link</a>|<a href="https://advances.sciencemag.org/content/7/31/eabg4778/tab-pdf">pdf</a>},
  urldate      = {2021-08-05},
  journaltitle = {Science Advances},
  date         = {2021-07-01},
  langid       = {english},
  pmid         = 34330703,
  tag          = {Consulting, Spatial}
}

@article{ramjith.recurrent.2022,
  title = {Recurrent Events Analysis with Piece-Wise Exponential Additive Mixed Models},
  author = {Ramjith, Jordache and Bender, Andreas and Roes, Kit C. B. and Jonker, Marianne A.},
  year = {2022},
  month = sep,
  journal = {Statistical Modelling},
  pages = {1471082X221117612},
  issn = {1471-082X},
  date = {2022-09-11},
  langid = {english},
  url = {<br><a href="https://doi.org/10.1177/1471082X221117612">link</a>|<a href = "https://journals.sagepub.com/doi/reader/10.1177/1471082X221117612">pdf</a>},
  tag = {Survival}
}


@article{doi:10.1063/5.0048129,
  title        = {Symplectic Gaussian process regression of maps in Hamiltonian systems},
  author       = {Rath,Katharina  and Albert,Christopher G.  and Bischl,Bernd  and von Toussaint,Udo},
  year         = 2021,
  journal      = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  volume       = 31,
  number       = 5,
  pages        = {053121},
  doi          = {10.1063/5.0048129},
  url          = {<br><a href="https://doi.org/10.1063/5.0048129">link</a>},
  date         = {2021-05-18},
  eprint       = {https://doi.org/10.1063/5.0048129},
  tag          = {Prob}
}

@article{rezaei2021deep,
  title        = {Deep Bregman Divergence for Contrastive Learning of Visual Representations},
  author       = {Rezaei, Mina and Soleymani, Farzin and Bischl, Bernd and Azizi, Shekoofeh},
  year         = 2021,
  journal      = {arXiv preprint arXiv:2109.07455},
  date         = {2021-09-01},
  tag          = {Beyond}
}

@inproceedings{schneider2021icml,
  title        = {Mutation is All You Need},
  author       = {Schneider, Lennart and Pfisterer, Florian and Binder, Martin and Bischl, Bernd},
  year         = {2021},
  booktitle    = {8th ICML Workshop on Automated Machine Learning},
  url          = {<br><a href="https://openreview.net/pdf?id=KFCxuHWNc4">pdf</a>},
  tag          = {AutoML, EML}
}

@article{soleymani2021deep,
  title        = {Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images},
  author       = {Soleymani, Farzin and Eslami, Mohammad and Elze, Tobias and Bischl, Bernd and Rezaei, Mina},
  year         = 2021,
  journal      = {arXiv preprint arXiv:2109.10777},
  date         = {2021-09-01},
  tag          = {Beyond}
}

@article{sonabend_mlr3proba_2021,
  title        = {mlr3proba: An R Package for Machine Learning in Survival Analysis},
  shorttitle   = {mlr3proba},
  author       = {Sonabend, Raphael and Király, Franz J and Bender, Andreas and Bischl, Bernd and Lang, Michel},
  year         = 2021,
  doi          = {10.1093/bioinformatics/btab039},
  issn         = {1367--4803},
  url          = {<br><a href="https://doi.org/10.1093/bioinformatics/btab039">link</a>|<a href="https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btab039/36163639/btab039.pdf">pdf</a>},
  issue        = {btab039},
  journaltitle = {Bioinformatics},
  shortjournal = {Bioinformatics},
  date         = {2021-02-01},
  tag          = {Survival, RSE, EML}
}

@article{weber2021modelling,
  title        = {Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation},
  author       = {Tobias Weber and Michael Ingrisch and Bernd Bischl and David R{\"u}gamer},
  year         = 2021,
  journal      = {NeurIPS 2021 Workshops, Deep Generative Models and Downstream Applications},
  url          = {<br><a href="https://arxiv.org/abs/2110.11312">link</a>|<a href = "https://arxiv.org/pdf/2110.11312.pdf">pdf</a>},
  date         = {2021-10-22},
  eprint       = {2110.11312},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  tag          = {Prob, Consulting, Survival}
}

@article{weber2021survivaloriented,
  title        = {Survival-oriented embeddings for improving accessibility to complex data structures},
  author       = {Tobias Weber and Michael Ingrisch and Matthias Fabritius and Bernd Bischl and David R{\"u}gamer},
  year         = 2021,
  journal      = {NeurIPS 2021 Workshops, Bridging the Gap: From Machine Learning Research to Clinical Practice},
  url          = {<br><a href="https://arxiv.org/abs/2110.11303">link</a>|<a href = "https://arxiv.org/pdf/2110.11303.pdf">pdf</a>},
  date         = {2021-10-22},
  eprint       = {2110.11303},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  tag          = {Prob, Consulting, Survival}
}

@article{bender_modelling_2020,
  title        = {Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America},
  author       = {Bender, Andreas and Python, Andre and Lindsay, Steve W. and Golding, Nick and Moyes, Catherine L.},
  year         = 2020,
  volume       = 14,
  number       = 8,
  pages        = {e0008411},
  doi          = {10.1371/journal.pntd.0008411},
  issn         = {1935--2735},
  url          = {<br><a href="https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0008411">link</a>|<a href = "https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0008411&type=printable">pdf</a>},
  note         = {Publisher: Public Library of Science},
  journaltitle = {{PLOS} Neglected Tropical Diseases},
  shortjournal = {{PLOS} Neglected Tropical Diseases},
  date         = {2020-08-10},
  langid       = {english},
  tag          = {Consulting, Prob, Spatial, Biostats}
}

@article{liew4,
  title        = {Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy -- a machine learning approach},
  author       = {Bernard X.W. Liew and Anneli Peolsson and David R{\"u}gamer and Johanna Wibault and Hakan L{\"o}fgren and Asa Dedering and Peter Zsigmond and Deborah Falla},
  year         = 2020,
  journal      = {Scientific Reports},
  url          = {<br><a href="https://www.nature.com/articles/s41598-020-73740-7">link</a>},
  date         = {2020-10-08},
  tag          = {Consulting, Prob}
}

@article{liew1,
  title        = {Classifying neck pain status using scalar and functional biomechanical variables -- development of a method using functional data boosting.},
  author       = {Bernard X.W. Liew and David R{\"u}gamer and Almond St{\"o}cker and Alessandro Marco {De Nunzio}},
  year         = 2020,
  journal      = {Gait \& Posture},
  volume       = 75,
  pages        = {146 -- 150},
  url          = {<br><a href="https://www.sciencedirect.com/science/article/abs/pii/S0966636219317734">link</a>},
  optkeywords  = {Walking, Biomechanics, Neck pain, Machine learning, Functional regression},
  tag          = {Consulting, Boosting}
}

@article{liew3,
  title        = {Classifying individuals with and without patellofemoral pain syndrome using ground force profiles -- Development of a method using functional data boosting},
  author       = {Bernard X.W. Liew and David R{\"u}gamer and Deepa Abichandani and Alessandro Marco {De Nunzio}},
  year         = 2020,
  journal      = {Gait \& Posture},
  volume       = 80,
  pages        = {90 -- 95},
  url          = {<br><a href="https://www.sciencedirect.com/science/article/abs/pii/S0966636220301843">link</a>},
  tag          = {Consulting, Boosting}
}

@inproceedings{bindermoosbauer2020mosmafs,
  title        = {Multi-Objective Hyperparameter Tuning and Feature Selection Using Filter Ensembles},
  author       = {Binder, Martin and Moosbauer, Julia and Thomas, Janek and Bischl, Bernd},
  year         = 2020,
  booktitle    = {Proceedings of the 2020 Genetic and Evolutionary Computation Conference},
  location     = {Canc\'{u}n, Mexico},
  publisher    = {Association for Computing Machinery},
  address      = {New York, NY, USA},
  series       = {GECCO '20},
  pages        = {471--479},
  doi          = {10.1145/3377930.3389815},
  isbn         = 9781450371285,
  url          = {<br><a href = "https://doi.org/10.1145/3377930.3389815">link</a> | <a href="https://dl.acm.org/doi/pdf/10.1145/3377930.3389815">pdf</a>},
  date         = {2020-06-25},
  numpages     = 9,
  keywords     = {model-based optimization, hyperparameter optimization, multiobjective optimization, evolutionary algorithms, feature selection},
  tag          = {AutoML, EML}
}

@article{bommert2020benchmark,
  title        = {Benchmark for filter methods for feature selection in high-dimensional classification data},
  author       = {Bommert, Andrea and Sun, Xudong and Bischl, Bernd and Rahnenf{\"u}hrer, J{\"o}rg and Lang, Michel},
  year         = 2020,
  journal      = {Computational Statistics \& Data Analysis},
  publisher    = {Elsevier},
  volume       = 143,
  pages        = 106839,
  url          = {<br> <a href="https://www.sciencedirect.com/science/article/pii/S016794731930194X">link</a> | <a href="https://reader.elsevier.com/reader/sd/pii/S016794731930194X?token=CCA2970CFA66CDEEC9ADB3F3E087A83C0B45F04637FE3965BE5DA562EA9FF779B486D542468BCD4C535040E0BB1D47D5">pdf</a>},
  tag          = {EML}
}

@article{brockhaus2020,
  title        = {Boosting Functional Regression Models with FDboost},
  author       = {Brockhaus, Sarah and R{\"u}gamer, David and Greven, Sonja},
  year         = 2020,
  journal      = {Journal of Statistical Software},
  volume       = 94,
  number       = 10,
  pages        = {1 -- 50},
  tag          = {Boosting, RSE}
}

@inproceedings{dandl2020moc,
  title        = {Multi-Objective Counterfactual Explanations},
  author       = {Dandl, Susanne and Molnar, Christoph and Binder, Martin and Bischl, Bernd},
  year         = 2020,
  booktitle    = {Parallel Problem Solving from Nature -- PPSN XVI},
  publisher    = {Springer International Publishing},
  address      = {Cham},
  pages        = {448--469},
  isbn         = {978-3-030-58112-1},
  url          = {<br> <a href="https://doi.org/10.1007/978-3-030-58112-1_31">link</a>},
  editor       = {B{\"a}ck, Thomas and Preuss, Mike and Deutz, Andr{\'e} and Wang, Hao and Doerr, Carola and Emmerich, Michael and Trautmann, Heike},
  date         = {2020-08-31},
  tag          = {IML}
}

@article{ruegamer2020nmdr,
  title        = {Neural Mixture Distributional Regression},
  author       = {David R{\"u}gamer and Florian Pfisterer and Bernd Bischl},
  year         = 2020,
  url          = {<br><a href="https://arxiv.org/abs/2010.06889">link</a>|<a href = "https://arxiv.org/pdf/2010.06889.pdf">pdf</a>},
  journaltitle = {{arXiv}:2010.06889 [cs, stat]},
  eprinttype   = {arxiv},
  eprint       = {2010.06889},
  date         = {2020-10-01},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  tag          = {Prob}
}

@article{ellenbach2020improved,
  title        = {Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning},
  author       = {Ellenbach, Nicole and Boulesteix, Anne-Laure and Bischl, Bernd and Unger, Kristian and Hornung, Roman},
  year         = 2020,
  journal      = {Journal of Classification},
  publisher    = {Springer},
  pages        = {1--20},
  url          = {<br> <a href="https://link.springer.com/article/10.1007/s00357-020-09368-z">link</a>|<a href="https://link.springer.com/content/pdf/10.1007/s00357-020-09368-z.pdf">pdf</a>},
  urldate      = {2020-07-06},
  tag          = {AutoML}
}

@article{Dorigatti2020JointEpitope,
  title        = {Joint epitope selection and spacer design for string-of-beads vaccines},
  author       = {Emilio Dorigatti and Benjamin Schubert},
  year         = 2020,
  month        = apr,
  publisher    = {Cold Spring Harbor Laboratory},
  doi          = {10.1101/2020.04.25.060988},
  url          = {<br> <a href="https://www.biorxiv.org/content/10.1101/2020.04.25.060988v1">link</a> | <a href="https://www.biorxiv.org/content/10.1101/2020.04.25.060988v1.full.pdf">pdf</a>},
  date         = {2020-04-15},
  journaltitle = {{bioRxiv}},
  tag          = {Consulting}
}

@article{Dorigatti2020GeneralizedEV,
  title        = {Graph-theoretical formulation of the generalized epitope-based vaccine design problem},
  author       = {Emilio Dorigatti and Benjamin Schubert},
  year         = 2020,
  month        = oct,
  journal      = {{PLOS} Computational Biology},
  publisher    = {Public Library of Science ({PLoS})},
  volume       = 16,
  number       = 10,
  pages        = {e1008237},
  doi          = {10.1371/journal.pcbi.1008237},
  url          = {<br> <a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008237">link</a> | <a href="https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008237&type=printable">pdf</a>},
  editor       = {Roger Dimitri Kouyos},
  tag          = {Consulting}
}

@article{gunther_nowcasting_2020,
  title        = {Nowcasting the {COVID}-19 pandemic in {Bavaria}},
  author       = {G{\"u}nther, Felix and Bender, Andreas and Katz, Katharina and K{\"u}chenhoff, Helmut and H{\"o}hle, Michael},
  year         = 2020,
  journal      = {Biometrical Journal},
  issn         = {1521--4036},
  url          = {<br><a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/bimj.202000112">link</a>|<a href = "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bimj.202000112">pdf</a>},
  language     = {en},
  date         = {2020-12-01},
  tag          = {Biostats, Prob, Consulting}
}

@article{Goerigk2018,
  title        = {Predicting instructed simulation and dissimulation when screening for depressive symptoms},
  author       = {Goerigk, Stephan and Hilbert, Sven and Jobst, Andrea and Falkai, Peter and B{\"u}hner, Markus and Stachl, Clemens and Bischl, Bernd and Coors, Stefan and Ehring, Thomas and Padberg, Frank and Sarubin, Nina},
  year         = 2020,
  month        = 3,
  journal      = {European Archives of Psychiatry and Clinical Neuroscience},
  volume       = 270,
  number       = 2,
  pages        = {153--168},
  url          = {<br><a href="https://doi.org/10.1007/s00406-018-0967-2">link</a>}
}

@article{guenther_analysis_2020,
  title        = {Analysis of the {COVID}-19 pandemic in Bavaria: adjusting for misclassification},
  shorttitle   = {Analysis of the {COVID}-19 pandemic in Bavaria},
  author       = {Guenther, Felix and Bender, Andreas and H{\"o}hle, Michael and Wildner, Manfred and K{\"u}chenhoff, Helmut},
  year         = 2020,
  pages        = {2020.09.29.20203877},
  doi          = {10.1101/2020.09.29.20203877},
  url          = {<br><a href="https://www.medrxiv.org/content/10.1101/2020.09.29.20203877v1">link</a>|<a href="https://www.medrxiv.org/content/10.1101/2020.09.29.20203877v1.full.pdf">pdf</a>},
  journaltitle = {{medRxiv}},
  date         = {2020-09-29},
  langid       = {english},
  tag          = {Biostats, Consulting}
}

@inproceedings{beggel2019robust,
  title        = {Robust Anomaly Detection in Images using Adversarial Autoencoders},
  author       = {Laura Beggel and Michael Pfeiffer and Bernd Bischl},
  year         = 2020,
  booktitle    = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  publisher    = {Springer},
  pages        = {206--222},
  url          = {<br> <a href="https://link.springer.com/chapter/10.1007/978-3-030-46150-8_13"> link </a> | <a href="https://arxiv.org/pdf/1901.06355.pdf"> pdf</a>},
  date         = {2020-04-30},
  tag          = {Prob}
}

@article{liew2,
  title        = {Interpretable machine learning models for classifying low back pain status using functional physiological variables},
  author       = {Liew, Bernard and R{\"u}gamer, David and De Nunzio, Alessandro and Falla, Deborah},
  year         = 2020,
  journal      = {European Spine Journal},
  volume       = 29,
  pages        = {1845 -- 1859},
  url          = {<br><a href="https://link.springer.com/article/10.1007/s00586-020-06356-0">link</a>},
  tag          = {Consulting, IML}
}

@inproceedings{binder2020,
  title        = {Collecting Empirical Data About Hyperparameters for Data Driven AutoML},
  author       = {Martin Binder and Florian Pfisterer and Bernd Bischl},
  year         = 2020,
  booktitle    = {Proceedings of the 7th ICML Workshop on Automated Machine Learning (AutoML 2020)},
  url          = {<br><a href="https://www.automl.org/wp-content/uploads/2020/07/AutoML_2020_paper_63.pdf"> pdf</a>},
  date         = {2020-07-18},
  tag          = {AutoML}
}

@article{Pfister2020,
  title        = {High-Resolution Motor State Detection in parkinson's Disease Using convolutional neural networks},
  author       = {Pfister, Franz MJ and Um, Terry Taewoong and Pichler, Daniel C and Goschenhofer, Jann and Abedinpour, Kian and Lang, Muriel and Endo, Satoshi and Ceballos-Baumann, Andres O and Hirche, Sandra and Bischl, Bernd and others},
  year         = 2020,
  journal      = {Scientific reports},
  publisher    = {Nature Publishing Group},
  volume       = 10,
  number       = 1,
  pages        = {1--11},
  url          = {<br><a href="https://www.nature.com/articles/s41598-020-61789-3">link</a>},
  date         = {2020-04-03},
  tag          = {Consulting, Prob}
}

@article{rugamer2019inference,
  title        = {Inference for L2-Boosting},
  author       = {R{\"u}gamer, David and Greven, Sonja},
  year         = 2020,
  journal      = {Statistics and Computing},
  volume       = 30,
  pages        = {279--289},
  url          = {<br><a href="https://link.springer.com/article/10.1007/s11222-019-09882-0">link</a>|<a href = "https://arxiv.org/pdf/1805.01852.pdf">pdf</a>},
  tag          = {Boosting, Prob}
}

@article{schratz2020monitoring,
  title        = {Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?},
  author       = {Schratz, Patrick and Muenchow, Jannes and Iturritxa, Eugenia and Cort{\'e}s, Jos{\'e} and Bischl, Bernd and Brenning, Alexander},
  year         = 2020,
  publisher    = {TechRxiv},
  url          = {<br><a href="https://www.techrxiv.org/articles/preprint/Monitoring_forest_health_using_hyperspectral_imagery_Does_feature_selection_improve_the_performance_of_machine-learning_techniques_/12794267">link</a>},
  date         = {2020-08-14},
  tag          = {Consulting}
}

@article{stachl2020predicting,
  title        = {Predicting personality from patterns of behavior collected with smartphones},
  author       = {Stachl, Clemens and Au, Quay and Schoedel, Ramona and Gosling, Samuel D and Harari, Gabriella M and Buschek, Daniel and V{\"o}lkel, Sarah Theres and Schuwerk, Tobias and Oldemeier, Michelle and Ullmann, Theresa and others},
  year         = 2020,
  journal      = {Proceedings of the National Academy of Sciences},
  publisher    = {National Acad Sciences},
  url          = {<br> <a href="https://www.pnas.org/content/early/2020/07/13/1920484117.short"> link </a>|<a href="https://www.pnas.org/content/pnas/early/2020/07/13/1920484117.full.pdf"> pdf</a>},
  tag          = {Consulting, Prob}
}

@inproceedings{DBLP:conf/intellisys/0002BPRLB19,
  title        = {High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions},
  author       = {Xudong Sun and Andrea Bommert and Florian Pfisterer and J{\"{o}}rg R{\"{a}}henf{\"{u}}rher and Michel Lang and Bernd Bischl},
  year         = 2020,
  booktitle    = {Intelligent Systems and Applications},
  publisher    = {Springer International Publishing},
  address      = {Cham},
  pages        = {629--647},
  doi          = {10.1007/978-3-030-29516-5\_48},
  url          = {<br> <a href="https://doi.org/10.1007/978-3-030-29516-5\_48"> link </a> | <a href="https://arxiv.org/pdf/1902.08999"> pdf</a>},
  editor       = {Bi, Yaxin and Bhatia, Rahul and Kapoor, Supriya},
  tag          = {AutoML}
}

@article{beggel2019time,
  title        = {Time series anomaly detection based on shapelet learning},
  author       = {Beggel, Laura and Kausler, Bernhard X and Schiegg, Martin and Pfeiffer, Michael and Bischl, Bernd},
  year         = 2019,
  journal      = {Computational Statistics},
  publisher    = {Springer},
  volume       = 34,
  number       = 3,
  pages        = {945--976},
  url          = {<br> <a href="https://link.springer.com/article/10.1007/s00180-018-0824-9">link</a> | <a href="https://d-nb.info/1167577892/34">pdf</a>},
  date         = {2019-09-01},
  tag          = {Prob}
}

@article{Stachl2019,
  title        = {Behavioral Patterns in Smartphone Usage Predict Big Five Personality Traits},
  author       = {Clemens Stachl and Quay Au and Ramona Schoedel and Daniel Buschek and Sarah V{\"o}lkel and Tobias Schuwerk and Michelle Oldemeier and Theresa Ullmann and Heinrich Hussmann and Bernd Bischl and Markus B{\"u}hner},
  year         = 2019,
  month        = jun,
  publisher    = {Center for Open Science},
  doi          = {10.31234/osf.io/ks4vd},
  url          = {<br> <a href="https://psyarxiv.com/ks4vd"> link </a> | <a href="https://psyarxiv.com/ks4vd/download"> pdf</a>},
  tag          = {Consulting}
}

@misc{pfisterer2019human,
  title        = {Towards Human Centered AutoML},
  author       = {Florian Pfisterer and Janek Thomas and Bernd Bischl},
  year         = 2019,
  journal      = {arXiv preprint arXiv:1911.02391},
  url          = {<br> <a href="https://arxiv.org/abs/1911.07511"> link </a> | <a href="https://arxiv.org/pdf/1911.02391"> pdf</a>},
  date         = {2019-11-06},
  eprint       = {1911.02391},
  archiveprefix = {arXiv},
  primaryclass = {cs.HC},
  tag          = {AutoML}
}

@misc{pfisterer2019benchmarking,
  title        = {Benchmarking time series classification -- Functional data vs machine learning approaches},
  author       = {Florian Pfisterer and Laura Beggel and Xudong Sun and Fabian Scheipl and Bernd Bischl},
  year         = 2019,
  journal      = {arXiv preprint arXiv:1911.07511},
  url          = {<br> <a href="https://arxiv.org/abs/1911.07511"> link </a> | <a href="https://arxiv.org/pdf/1911.07511"> pdf</a>},
  date         = {2019-11-18},
  eprint       = {1911.07511},
  archiveprefix = {arXiv},
  primaryclass = {stat.ML},
  tag          = {Prob, EML}
}

@misc{pfisterer2019multiobjective,
  title        = {Multi-Objective Automatic Machine Learning with AutoxgboostMC},
  author       = {Florian Pfisterer and Stefan Coors and Janek Thomas and Bernd Bischl},
  year         = 2019,
  journal      = {arXiv preprint arXiv:1908.10796},
  url          = {<br> <a href="https://arxiv.org/abs/1908.10796"> link </a> | <a href="https://arxiv.org/pdf/1908.10796"> pdf</a>},
  date         = {2019-08-28},
  eprint       = {1908.10796},
  tag          = {AutoML}
}

@article{Goschenhofer2019,
  title        = {Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning},
  author       = {Goschenhofer, Jann and Pfister, Franz MJ and Yuksel, Kamer Ali and Bischl, Bernd and Fietzek, Urban and Thomas, Janek},
  year         = 2019,
  month        = 9,
  day          = 17,
  journal      = {Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019},
  series       = {Lecture Notes in Computer Science},
  pages        = {400--415},
  url          = {<br><a href="https://www.springerprofessional.de/wearable-based-parkinson-s-disease-severity-monitoring-using-dee/17945434">link</a> | <a href="https://arxiv.org/pdf/1904.10829.pdf">pdf</a>},
  editor       = {Brefeld, U and Fromont, E and Hotho, A and Knobbe, A and Maathuis, M and Robardet, C},
  organization = {Springer},
  tag          = {Consulting, Prob}
}

@misc{koenig2019challenges,
  title        = {A {Causal} {Perspective} on {Challenges} for {AI} in {Precision} {Medicine}},
  author       = {K{\"o}nig, Gunnar and Grosse-Wentrup, Moritz},
  year         = 2019,
  address      = {2nd International Precision Medicine Congress},
  url          = {<br> <a href="https://koenig.page/pdf/koenig2019_pmbc.pdf">link</a>},
  tag          = {Consulting, causal-fair}
}

@misc{epub61275,
  title        = {Improved outcome prediction across data sources through robust parameter tuning},
  author       = {Nicole Sch\"uller and Anne-Laure Boulesteix and Bernd Bischl and Kristian Unger and Roman Hornung},
  year         = 2019,
  series       = {tech},
  volume       = 221,
  url          = {<br> <a href="http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-61275-1"> link </a> | <a href="https://epub.ub.uni-muenchen.de/61275/1/Schueller_Bouelesteix_Bischl_Unger_Hornung_Improved_Outcome_prediction.pdf"> pdf</a>},
  tag          = {AutoML, EML}
}

@inproceedings{pfister2019recognition,
  title        = {Recognition of subjects with early-stage Parkinson from free-living unilateral wrist-sensor data using a hierarchical machine learning model},
  author       = {Pfister, Franz MJ and von Schumann, Anna and Bemetz, Josef and Thomas, Janek and Ceballos-Baumann, Andres and Bischl, Bernd and Fietzek, Urban},
  year         = 2019,
  booktitle    = {JOURNAL OF NEURAL TRANSMISSION},
  volume       = 126,
  number       = 5,
  pages        = {663--663},
  organization = {SPRINGER WIEN SACHSENPLATZ 4-6, PO BOX 89, A-1201 WIEN, AUSTRIA},
  tag          = {Consulting}
}

@article{JMLR:v20:18-444,
  title        = {Tunability: Importance of Hyperparameters of Machine Learning Algorithms},
  author       = {Philipp Probst and Anne-Laure Boulesteix and Bernd Bischl},
  year         = 2019,
  journal      = {Journal of Machine Learning Research},
  volume       = 20,
  number       = 53,
  pages        = {1--32},
  url          = {<br><a href="http://jmlr.org/papers/v20/18-444.html">link</a> | <a href="https://www.jmlr.org/papers/volume20/18-444/18-444.pdf">pdf</a>},
  date         = {2019-03-01},
  tag          = {AutoML, EML}
}

@article{DBLP:journals/corr/abs-1907-00909,
  title        = {An Open Source AutoML Benchmark},
  author       = {Pieter Gijsbers and Erin LeDell and Janek Thomas and S{\'{e}}bastien Poirier and Bernd Bischl and Joaquin Vanschoren},
  year         = 2019,
  journal      = {CoRR},
  url          = {<br> <a href="http://arxiv.org/abs/1907.00909"> link </a> | <a href="https://arxiv.org/pdf/1907.00909"> pdf</a>},
  eprint       = {1907.00909},
  tag          = {AutoML}
}

@misc{schmid2019proceedings,
  title        = {Proceedings of Reisensburg 2016--2017},
  author       = {Schmid, Matthias and Bischl, Bernd and Kestler, Hans A},
  year         = 2019,
  publisher    = {Springer},
  url          = {<br><a href="https://doi.org/10.1007/s00180-019-00907-w">link</a>},
  date         = {2019-09-01}
}

@inproceedings{9003114,
  title        = {Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning},
  author       = {Sun, Xudong and Bischl, Bernd},
  year         = 2019,
  booktitle    = {2019 IEEE Symposium Series on Computational Intelligence (SSCI)},
  url          = {<br><a href="https://ieeexplore.ieee.org/abstract/document/9003114">link</a>|<a href="https://arxiv.org/pdf/1908.09381.pdf">pdf</a>},
  date         = {2019-12-06},
  tag          = {Prob}
}

@inproceedings{9002665,
  title        = {Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift},
  author       = {Sun, Xudong and Gossmann, Alexej and Wang, Yu and Bischt, Bernd},
  year         = 2019,
  booktitle    = {2019 IEEE Symposium Series on Computational Intelligence (SSCI)},
  pages        = {1344--1353},
  url          = {<br><a href="https://ieeexplore.ieee.org/abstract/document/9002665">link</a>|<a href="https://arxiv.org/pdf/1906.02972.pdf">pdf</a>},
  tag          = {Prob}
}

@article{Schuwerk2019,
  title        = {Enter the Wild: Autistic Traits and Their Relationship to Mentalizing and Social Interaction in Everyday Life},
  author       = {Tobias Schuwerk and Larissa J. Kaltefleiter and Jiew-Quay Au and Axel Hoesl and Clemens Stachl},
  year         = 2019,
  month        = jul,
  journal      = {Journal of Autism and Developmental Disorders},
  publisher    = {Springer Science and Business Media {LLC}},
  doi          = {10.1007/s10803-019-04134-6},
  url          = {<br> <a href="http://link.springer.com/article/10.1007/s10803-019-04134-6"> link</a>},
  tag          = {Consulting}
}

@article{volkel20192,
  title        = {Opportunities and challenges of utilizing personality traits for personalization in HCI},
  author       = {V{\"o}lkel, Sarah Theres and Sch{\"o}del, Ramona and Buschek, Daniel and Stachl, Clemens and Au, Quay and Bischl, Bernd and B{\"u}hner, Markus and Hussmann, Heinrich},
  year         = 2019,
  journal      = {Personalized Human-Computer Interaction},
  publisher    = {Walter de Gruyter GmbH \& Co KG},
  pages        = {31--65},
  url          = {<br> <a href="https://books.google.de/books?id=6jvEDwAAQBAJ&lpg=PA31&lr&pg=PA31#v=onepage&q&f=false"> link </a>},
  tag          = {Consulting}
}

@article{DBLP:journals/corr/abs-1904-05381,
  title        = {ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning},
  author       = {Xudong Sun and Jiali Lin and Bernd Bischl},
  year         = 2019,
  journal      = {CoRR},
  url          = {<br> <a href="https://arxiv.org/abs/1904.05381"> link </a> | <a href="https://arxiv.org/pdf/1904.05381.pdf"> pdf</a>},
  date         = {2019-04-10},
  eprint       = {1904.05381},
  tag          = {AutoML}
}

@article{DBLP:journals/corr/abs-1906-02972,
  title        = {Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks},
  author       = {Xudong Sun and Yu Wang and Alexej Gossmann and Bernd Bischl},
  year         = 2019,
  journal      = {CoRR},
  url          = {<br> <a href="http://arxiv.org/abs/1906.02972"> link </a> | <a href="https://arxiv.org/pdf/1906.02972"> pdf</a>},
  eprint       = {1906.02972},
  tag          = {Prob}
}

@article{arenas2018workshop,
  title        = {Workshop contribution MLJ},
  author       = {Arenas, Diego and Barp, Edoardo and Bohner, Gerg{\"o} and Churvay, Valentin and Kiraly, Franz and Lienart, Thibaut and Vollmer, Sebastian and Innes, Mike and Bischl, Bernd},
  year         = 2018,
  url          = {<br><a href="https://openreview.net/pdf/f36dce1ce05bf515e5828adc37f00e4da6a919f0.pdf">pdf</a>},
  date         = {2018-10-29}
}

@article{bender_penalized_2018,
  title = {Penalized estimation of complex, non-linear exposure-lag-response associations},
  url = {<br> <a href="https://academic.oup.com/biostatistics/advance-article/doi/10.1093/biostatistics/kxy003/4852816">link</a>|<a href="https://academic.oup.com/biostatistics/article/20/2/315/4852816?guestAccessKey=f685a2b6-e124-4990-9eef-5b55ab76f8d9">pdf</a>},
  doi = {10.1093/biostatistics/kxy003},
  language = {en},
  urldate = {2018-02-13},
  journal = {Biostatistics},
  author = {Bender, Andreas and Scheipl, Fabian and Hartl, Wolfgang and Day, Andrew G. and Küchenhoff, Helmut},
  month = dec,
  year = {2018},
  tag = {Survival},
  url = {<br> <a href="https://academic.oup.com/biostatistics/advance-article/doi/10.1093/biostatistics/kxy003/4852816">link</a>|<a href="https://academic.oup.com/biostatistics/article/20/2/315/4852816?guestAccessKey=f685a2b6-e124-4990-9eef-5b55ab76f8d9">pdf</a>}
}

@article{bender_pammtools:_2018,
  title        = {pammtools: {Piece}-wise exponential {Additive} {Mixed} {Modeling} tools},
  shorttitle   = {pammtools},
  author       = {Bender, Andreas and Scheipl, Fabian},
  year         = 2018,
  month        = jun,
  journal      = {arXiv:1806.01042 [stat]},
  url          = {<br> <a href="http://arxiv.org/abs/1806.01042">link</a>| <a href="https://arxiv.org/pdf/1806.01042.pdf">pdf</a>},
  urldate      = {2018-06-05},
  note         = {arXiv: 1806.01042},
  keywords     = {Statistics - Computation},
  tag          = {Survival, RSE}
}

@article{FossatiDorigattiGiuliano2018,
  title        = {N-ary relation extraction for simultaneous T-Box and A-Box knowledge base augmentation},
  author       = {Fossati, Marco and Dorigatti, Emilio and Giuliano, Claudio},
  year         = 2018,
  month        = 6,
  journal      = {Semantic Web},
  publisher    = {IOS Press},
  volume       = 9,
  number       = 4,
  pages        = {413--439},
  doi          = {10.3233/SW-170269},
  issn         = {22104968, 15700844},
  url          = {<br> <a href="https://content.iospress.com/articles/semantic-web/sw269">link</a> | <a href="https://pdfs.semanticscholar.org/cf20/7e1df031ec745c094991ec29b4bbbd2161b3.pdf">pdf</a>},
  editor       = {Cimiano, Philipp Editor},
  tag          = {Consulting}
}

@article{horn2016,
  title        = {{A Comparative Study on Large Scale Kernelized Support Vector Machines}},
  author       = {Horn, D. and Demircio\u{g}lu, A. and Bischl, B. and Glasmachers, T. and Weihs, C.},
  year         = 2018,
  journal      = {Advances in Data Analysis and Classification},
  pages        = {1--17},
  doi          = {10.1007/s11634-016-0265-7},
  issn         = {1862--5355},
  url          = {<br> <a  href="https://doi.org/10.1007/s11634-016-0265-7">link</a>},
  tag          = {EML}
}

@article{kuhn2018automatic,
  title        = {Automatic Exploration of Machine Learning Experiments on OpenML},
  author       = {K{\"u}hn, Daniel and Probst, Philipp and Thomas, Janek and Bischl, Bernd},
  year         = 2018,
  journal      = {arXiv preprint arXiv:1806.10961},
  url          = {<br> <a href="https://arxiv.org/abs/1806.10961">link</a> | <a href="https://arxiv.org/pdf/1806.10961.pdf">pdf</a>},
  tag          = {AutoML, EML}
}

@misc{kestler2018proceedings,
  title        = {Proceedings of Reisensburg 2014--2015},
  author       = {Kestler, Hans A and Bischl, Bernd and Schmid, Matthias},
  year         = 2018,
  publisher    = {Springer},
  url          = {<br><a href="https://doi.org/10.1007/s00180-018-0823-x">link</a>},
  date         = {2018-06-04}
}

@article{rugamer2018selective,
  title        = {Selective inference after likelihood-or test-based model selection in linear models},
  author       = {R{\"u}gamer, David and Greven, Sonja},
  year         = 2018,
  journal      = {Statistics \& Probability Letters},
  publisher    = {North-Holland},
  volume       = 140,
  pages        = {7--12},
  tag          = {Prob}
}

@article{Schoedel2018,
  title        = {Digital Footprints of Sensation Seeking},
  author       = {Ramona Schoedel and Quay Au and Sarah Theres V\"{o}lkel and Florian Lehmann and Daniela Becker and Markus B\"{u}hner and Bernd Bischl and Heinrich Hussmann and Clemens Stachl},
  year         = 2018,
  month        = oct,
  journal      = {Zeitschrift f\"{u}r Psychologie},
  publisher    = {Hogrefe Publishing Group},
  volume       = 226,
  number       = 4,
  pages        = {232--245},
  doi          = {10.1027/2151-2604/a000342},
  url          = {<br> <a href="https://econtent.hogrefe.com/doi/ref/10.1027/2151-2604/a000342">link</a>}
}

@article{schalk2018compboost,
  title        = {compboost: Modular Framework for Component-Wise Boosting},
  author       = {Schalk, Daniel and Thomas, Janek and Bischl, Bernd},
  year         = 2018,
  journal      = {JOSS},
  publisher    = {Journal of Open Source Software},
  volume       = 3,
  number       = 30,
  pages        = 967,
  url          = {<br><a href="http://joss.theoj.org/papers/94cfdbbfdfc8796c5bdb1a74ee59fcda"> link</a> | <a href="https://joss.theoj.org/papers/10.21105/joss.00967.pdf">pdf</a>},
  tag          = {Boosting, RSE}
}

@article{thomas2018autoxgboost,
  title        = {Automatic Gradient Boosting},
  author       = {Thomas, Janek and Coors, Stefan and Bischl, Bernd},
  year         = 2018,
  journal      = {ICML AutoML Workshop},
  url          = {<br> <a href="https://arxiv.org/abs/1807.03873">link</a> | <a href="https://arxiv.org/pdf/1807.03873.pdf">pdf</a>},
  tag          = {AutoML, Boosting}
}

@article{thomas2018gradient,
  title        = {Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates},
  author       = {Thomas, Janek and Mayr, Andreas and Bischl, Bernd and Schmid, Matthias and Smith, Adam and Hofner, Benjamin},
  year         = 2018,
  journal      = {Statistics and Computing},
  publisher    = {Springer},
  volume       = 28,
  number       = 3,
  pages        = {673--687},
  url          = {<br> <a href="https://link.springer.com/article/10.1007/s11222-017-9754-6">link</a> | <a href="/bibrefs/pdfs/thomas-2017.pdf">pdf</a>},
  tag          = {Boosting}
}

@inproceedings{Volkel2018,
  title        = {{I Drive My Car and My States Drive Me}},
  author       = {V{\"{o}}lkel, Sarah Theres and Graefe, Julia and Sch{\"{o}}del, Ramona and H{\"{a}}uslschmid, Renate and Stachl, Clemens and Au, Quay and Hussmann, Heinrich},
  year         = 2018,
  booktitle    = {Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications  - AutomotiveUI '18},
  publisher    = {ACM Press},
  address      = {New York, New York, USA},
  pages        = {198--203},
  doi          = {10.1145/3239092.3267102},
  isbn         = 9781450359474,
  url          = {<br> <a href="http://dl.acm.org/citation.cfm?doid=3239092.3267102">link</a>},
  file         = {:L$\backslash$:/Users/auj/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/V{\"{o}}lkel et al. - 2018 - I Drive My Car and My States Drive Me.pdf:pdf},
  keywords     = {Driver's State,Qualitative Feedback,Visualization},
  mendeley-groups = {Personal References}
}

@inproceedings{van2018meta,
  title        = {Meta Learning for Defaults--Symbolic Defaults},
  author       = {van Rijn, Jan N and Pfisterer, Florian and Thomas, Janek and Bischl, Bernd and Vanschoren, Joaquin},
  year         = 2018,
  booktitle    = {NeurIPS 2018 Workshop on Meta Learning},
  url          = {<br> <a href="http://metalearning.ml/2018">link</a> | <a href="http://metalearning.ml/2018/papers/metalearn2018_paper70.pdf">pdf</a>},
  date         = {2018-12-08},
  tag          = {AutoML, EML}
}

@article{beggel2017mlrfda,
  title        = {mlrFDA: an R toolbox for functional data analysis},
  author       = {Beggel, Laura and Sun, Xudong and Bischl, Bernd},
  year         = 2017,
  journal      = {Ulmer Informatik-Berichte},
  pages        = 15,
  url          = {<br><a href="https://d-nb.info/1141792184/34#page=23">pdf</a>}
}

@article{bischl2017mlrmbo,
  title        = {mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions},
  author       = {Bischl, Bernd and Richter, Jakob and Bossek, Jakob and Horn, Daniel and Thomas, Janek and Lang, Michel},
  year         = 2017,
  journal      = {arXiv preprint arXiv:1703.03373},
  url          = {<br> <a href="https://arxiv.org/abs/1703.03373">link</a> | <a href="https://arxiv.org/pdf/1703.03373.pdf">pdf</a>},
  date         = {2017-03-09},
  tag          = {AutoML, RSE, EML}
}

@inproceedings{10.1145/3067695.3082057,
  title        = {Evaluating Random Forest Models for Irace},
  author       = {C\'{a}ceres, Leslie P\'{e}rez and Bischl, Bernd and St\"{u}tzle, Thomas},
  year         = 2017,
  booktitle    = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
  publisher    = {Association for Computing Machinery},
  series       = {GECCO '17},
  pages        = {1146--1153},
  url          = {<br><a href="https://doi.org/10.1145/3067695.3082057">link</a>|<a href="https://iridia.ulb.ac.be/IridiaTrSeries/rev/IridiaTr2017-009r001.pdf">pdf</a>},
  date         = {2017-07-15},
  tag          = {AutoML}
}

@article{horn2017multi,
  title        = {Multi-objective selection of algorithm portfolios},
  author       = {Horn, Daniel and Bischl, Bernd and Demircioglu, Ayd{\i}n and Glasmachers, Tobias and Wagner, Tobias and Weihs, Claus},
  year         = 2017,
  journal      = {Archives of Data Science},
  url          = {<br><a href="https://core.ac.uk/reader/197510540">link</a>},
  tag          = {AutoML}
}

@inbook{Horn2017,
  title        = {First Investigations on Noisy Model-Based Multi-objective Optimization},
  author       = {Horn, Daniel and Dagge, Melanie and Sun, Xudong and Bischl, Bernd},
  year         = 2017,
  booktitle    = {Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, M{\"u}nster, Germany, March 19-22, 2017, Proceedings},
  publisher    = {Springer International Publishing},
  address      = {Cham},
  pages        = {298--313},
  doi          = {10.1007/978-3-319-54157-0_21},
  isbn         = {978-3-319-54157-0},
  url          = {<br> <a  href="https://doi.org/10.1007/978-3-319-54157-0_21">link</a>|<a href="https://www.researchgate.net/profile/Xudong-Sun/publication/313841432_First_Investigations_on_Noisy_Model-Based_Multi-objective_Optimization/links/5c136e8692851c39ebebc31e/First-Investigations-on-Noisy-Model-Based-Multi-objective-Optimization.pdf">pdf</a>},
  date         = {2017-02-19},
  tag          = {AutoML}
}

@article{Thomas2017b,
  title        = {Probing for sparse and fast variable selection with model-based boosting},
  author       = {Janek Thomas and Tobias Hepp and Andreas Mayr and Bernd Bischl},
  year         = 2017,
  journal      = {Computational and mathematical methods in medicine},
  publisher    = {Hindawi},
  volume       = 2017,
  url          = {<br> <a href="https://www.hindawi.com/journals/cmmm/2017/1421409/">link</a> | <a href="http://downloads.hindawi.com/journals/cmmm/aip/1421409.pdf">pdf</a>},
  tag          = {Boosting}
}

@inproceedings{kotthaus2017rambo,
  title        = {RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization},
  author       = {Kotthaus, Helena and Richter, Jakob and Lang, Andreas and Thomas, Janek and Bischl, Bernd and Marwedel, Peter and Rahnenf{\"u}hrer, J{\"o}rg and Lang, Michel},
  year         = 2017,
  booktitle    = {International Conference on Learning and Intelligent Optimization},
  pages        = {180--195},
  url          = {<br> <a href="https://link.springer.com/chapter/10.1007/978-3-319-69404-7_13">link</a> | <a href="https://www.researchgate.net/profile/Helena_Kotthaus/publication/320600607_RAMBO_Resource-Aware_Model-Based_Optimization_with_Scheduling_for_Heterogeneous_Runtimes_and_a_Comparison_with_Asynchronous_Model-Based_Optimization/links/5a1c1c230f7e9be37f9c305c/RAMBO-Resource-Aware-Model-Based-Optimization-with-Scheduling-for-Heterogeneous-Runtimes-and-a-Comparison-with-Asynchronous-Model-Based-Optimization.pdf">pdf</a>},
  organization = {Springer},
  tag          = {AutoML}
}

@article{lang2017batchtools,
  title        = {{batchtools: Tools for {R} to work on batch systems}},
  author       = {Lang, Michel and Bischl, Bernd and Surmann, Dirk},
  year         = 2017,
  journal      = {The Journal of Open Source Software},
  volume       = 2,
  number       = 10,
  url          = {<br> <a  href="http://joss.theoj.org/papers/10.21105/joss.00135">link</a>},
  tag          = {RSE, EML}
}

@article{Stachl2017,
  title        = {{Personality Traits Predict Smartphone Usage}},
  author       = {Stachl, Clemens and Hilbert, Sven and Au, Quay and Buschek, Daniel and {De Luca}, Alexander and Bischl, Bernd and Hussmann, Heinrich and B{\"{u}}hner, Markus},
  year         = 2017,
  month        = 11,
  journal      = {European Journal of Personality},
  publisher    = {Wiley-Blackwell},
  volume       = 31,
  number       = 6,
  pages        = {701--722},
  doi          = {10.1002/per.2113},
  issn         = {08902070},
  url          = {<br> <a href="https://doi.org/10.1002/per.2113">link</a>},
  editor       = {Wrzus, Cornelia},
  file         = {:L$\backslash$:/Users/auj/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Stachl et al. - 2017 - Personality Traits Predict Smartphone Usage.pdf:pdf},
  keywords     = {Big Five,app usage,behaviour,factor and facets,smartphones},
  mendeley-groups = {Personal References},
  date         = {2017-11-01}
}

@misc{demircioglu2016fast,
  title        = {Fast model selection by limiting SVM training times},
  author       = {Aydin Demircioglu and Daniel Horn and Tobias Glasmachers and Bernd Bischl and Claus Weihs},
  year         = 2016,
  number       = {arxiv:1302.1602.03368v1},
  url          = {<br> <a  href="https://arxiv.org/abs/1602.03368">link</a>},
  date         = {2016-02-10},
  eprint       = {1602.03368},
  institution  = {arxiv.org},
  tag          = {AutoML}
}

@inproceedings{bauer2015_1,
  title        = {{Fast Model Based Optimization of Tone Onset Detection by Instance Sampling}},
  author       = {Bauer, N. and Friedrichs, K. and Bischl, B. and Weihs, C.},
  year         = 2016,
  booktitle    = {Data Analysis, Machine Learning and Knowledge Discovery},
  series       = {Studies in Classification, Data Analysis, and Knowledge Organization},
  url          = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-319-25226-1_39">link</a>},
  date         = {2016-08-04}
}

@article{beggel2016anomaly,
  title        = {Anomaly Detection with Shapelet-Based Feature Learning for Time Series},
  author       = {Beggel, Laura and Kausler, Bernhard X and Schiegg, Martin and Bischl, Bernd},
  year         = 2016,
  journal      = {Ulmer Informatik-Berichte},
  pages        = 25,
  url          = {<br><a href="https://oparu.uni-ulm.de/xmlui/handle/123456789/4562">link</a> | <a href="https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui/Ulmer_Informatik_Berichte/2016/UIB_2016-04.pdf#page=32">pdf</a>}
}

@article{bischl2014,
  title        = {{{ASlib}: A Benchmark Library for Algorithm Selection}},
  author       = {Bischl, B. and Kerschke, P. and Kotthoff, L. and Lindauer, M. and Malitsky, Y. and Frech\'{e}tte, A. and Hoos, H. and Hutter, F. and Leyton-Brown, K. and Tierney, K. and Vanschoren, J.},
  year         = 2016,
  journal      = {Artificial Intelligence},
  volume       = 237,
  pages        = {41--58},
  url          = {<br> <a  href="https://doi.org/10.1016/j.artint.2016.04.003">link</a>},
  date         = {2016-08-01},
  tag          = {AutoML, EML}
}

@incollection{bischl2016class,
  title        = {{On Class Imbalance Correction for Classification Algorithms in Credit Scoring}},
  author       = {Bischl, Bernd and K{\"u}hn, Tobias and Szepannek, Gero},
  year         = 2016,
  booktitle    = {Operations Research Proceedings 2014},
  publisher    = {Springer International Publishing},
  pages        = {37--43},
  url          = {<br> <a  href="https://doi.org/10.1007/978-3-319-28697-6_6">link</a>|<a href="https://www.researchgate.net/profile/Bernd-Bischl/publication/299821566_On_Class_Imbalance_Correction_for_Classification_Algorithms_in_Credit_Scoring/links/5a7c29760f7e9b55f65b54ac/On-Class-Imbalance-Correction-for-Classification-Algorithms-in-Credit-Scoring.pdf">pdf</a>},
  editor       = {L{\"u}bbecke, Marco and Koster, Arie and Letmathe, Peter and Madlener, Reinhard and Peis, Britta and Walther, Grit},
  date         = {2016-02-21}
}

@inproceedings{DegrooteHans2016RLfA,
  title        = {Reinforcement Learning for Automatic Online Algorithm Selection - an Empirical Study},
  author       = {Degroote, Hans and Bischl, Bernd and Kotthoff, Lars and De Causmaecker, Patrick},
  year         = 2016,
  booktitle    = {ITAT 2016 Proceedings},
  publisher    = {CEUR-WS.org},
  volume       = 1649,
  pages        = {93--101},
  issn         = {1613--0073},
  url          = {<br><a href="https://lirias.kuleuven.be/1772178?limo=0">link</a>},
  tag          = {AutoML}
}

@article{feilke2015,
  title        = {{Boosting in non-linear regression models with an application to {DCE-MRI} data}},
  author       = {Feilke, M. and Bischl, B. and Schmid, V.J. and Gertheiss, J.},
  year         = 2016,
  journal      = {Methods of Information in Medicine},
  url          = {<br><a href="https://www.thieme-connect.de/products/ejournals/abstract/10.3414/ME14-01-0131">link</a>|<a  href="https://www.researchgate.net/profile/Bernd-Bischl/publication/284172484_Boosting_in_Nonlinear_Regression_Models_with_an_Application_to_DCE-MRI_Data/links/56fa36cb08ae7c1fda3125c7/Boosting-in-Nonlinear-Regression-Models-with-an-Application-to-DCE-MRI-Data.pdf">pdf</a>}
}

@article{feilke2016boosting,
  title        = {Boosting in nonlinear regression models with an application to DCE-MRI data},
  author       = {Feilke, Martina and Bischl, Bernd and Schmid, Volker J and Gertheiss, Jan},
  year         = 2016,
  journal      = {Methods of information in medicine},
  publisher    = {Schattauer GmbH},
  volume       = 55,
  number       = {01},
  pages        = {31--41}
}

@inproceedings{degrootebkc16,
  title        = {{Reinforcement Learning for Automatic Online Algorithm Selection - an Empirical Study}},
  author       = {Hans Degroote and Bernd Bischl and Lars Kotthoff and Patrick De Causmaecker},
  year         = 2016,
  booktitle    = {Proceedings of the 16th {ITAT} Conference Information Technologies - Applications and Theory, Tatransk{\'{e}} Matliare, Slovakia, September 15-19, 2016.},
  pages        = {93--101},
  url          = {<br> <a  href="http://ceur-ws.org/Vol-1649/93.pdf">link</a>},
  tag          = {AutoML}
}

@inproceedings{horn2016multi,
  title        = {{Multi-objective Parameter Configuration of Machine Learning Algorithms using Model-Based Optimization}},
  author       = {Horn, Daniel and Bischl, Bernd},
  year         = 2016,
  booktitle    = {2016 IEEE Symposium Series on Computational Intelligence (SSCI)},
  pages        = {1--8},
  url          = {<br> <a  href="http://ieeexplore.ieee.org/abstract/document/7850221/">link</a>|<a href="https://oparu.uni-ulm.de/xmlui/bitstream/handle/123456789/4562/StatComp2016.pdf?sequence=1#page=30">pdf</a>},
  date         = {2016-12-06},
  organization = {IEEE},
  tag          = {AutoML, EML}
}

@misc{schiffner2016,
  title        = {mlr Tutorial},
  author       = {Julia Schiffner and Bernd Bischl and Michel Lang and Jakob Richter and Zachary M. Jones and Philipp Probst and Florian Pfisterer and Mason Gallo and Dominik Kirchhoff and Tobias K{\"u}hn and Janek Thomas and Lars Kotthoff},
  year         = 2016,
  url          = {<br> <a href="https://github.com/mlr-org/mlr">link</a> | <a href="https://arxiv.org/pdf/1609.06146v1.pdf">pdf</a>},
  eprint       = {arXiv:1609.06146},
  tag          = {RSE}
}

@inproceedings{rietzler2016fusionkit,
  title        = {FusionKit: a generic toolkit for skeleton, marker and rigid-body tracking},
  author       = {Rietzler, Michael and Geiselhart, Florian and Thomas, Janek and Rukzio, Enrico},
  year         = 2016,
  booktitle    = {Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems},
  pages        = {73--84},
  url          = {<br> <a href="https://dl.acm.org/citation.cfm?id=2933263">link</a>},
  organization = {ACM},
  tag          = {Consulting}
}

@inbook{weihs2016,
  title        = {{Big data Classification: Aspects on Many Features and Many Observations}},
  author       = {Weihs, Claus and Horn, Daniel and Bischl, Bernd},
  year         = 2016,
  booktitle    = {Analysis of Large and Complex Data},
  publisher    = {Springer International Publishing},
  address      = {Cham},
  pages        = {113--122},
  doi          = {10.1007/978-3-319-25226-1_10},
  isbn         = {978-3-319-25226-1},
  url          = {<br> <a  href="http://dx.doi.org/10.1007/978-3-319-25226-1_10">link</a>},
  editor       = {Wilhelm, Adalbert F.X. and Kestler, Hans A.},
  date         = {2016-08-04}
}

@article{bischl2015,
  title        = {{{BatchJobs} and {BatchExperiments}: Abstraction Mechanisms for Using {R} in Batch Environments}},
  author       = {Bernd Bischl and Michel Lang and Olaf Mersmann and J{\"o}rg Rahnenf{\"u}hrer and Claus Weihs},
  year         = 2015,
  journal      = {Journal of Statistical Software},
  volume       = 64,
  number       = 11,
  pages        = {1--25},
  url          = {<br> <a  href="http://hdl.handle.net/10.18637/jss.v064.i11 ">link</a>},
  tag          = {RSE, EML}
}

@inproceedings{10.5555/3053836.3053838,
  title        = {Applying Model-Based Optimization to Hyperparameter Optimization in Machine Learning},
  author       = {Bischl, Bernd},
  year         = 2015,
  booktitle    = {Proceedings of the 2015 International Conference on Meta-Learning and Algorithm Selection - Volume 1455},
  publisher    = {CEUR-WS.org},
  address      = {Aachen, DEU},
  series       = {MetaSel'15},
  pages        = 1,
  url          = {<br><a href="https://dl.acm.org/doi/abs/10.5555/3053836.3053838">link</a>|<a href="http://ceur-ws.org/Vol-1455/paper-01.pdf">pdf</a>},
  tag          = {AutoML}
}

@inproceedings{bossek2015learning,
  title        = {{Learning feature-parameter mappings for parameter tuning via the profile expected improvement}},
  author       = {Bossek, Jakob and Bischl, Bernd and Wagner, Tobias and Rudolph, G{\"u}nter},
  year         = 2015,
  booktitle    = {Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation},
  publisher    = {Association for Computing Machinery},
  series       = {GECCO '15},
  pages        = {1319--1326},
  url          = {<br><a href="https://doi.org/10.1145/2739480.2754673">link</a>|<a  href="https://www.researchgate.net/profile/Jakob_Bossek/publication/280076463_Learning_Feature-Parameter_Mappings_for_Parameter_Tuning_via_the_Profile_Expected_Improvement/links/55a67d2008ae51639c5725b5/Learning-Feature-Parameter-Mappings-for-Parameter-Tuning-via-the-Profile-Expected-Improvement.pdf">pdf</a>},
  date         = {2015-07-11},
  tag          = {AutoML, EML}
}

@inproceedings{brockhoff2015,
  title        = {{{The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary Study}}},
  author       = {Brockhoff, Dimo and Bischl, Bernd and Wagner, Tobias},
  year         = 2015,
  booktitle    = {Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation},
  publisher    = {Association for Computing Machinery},
  address      = {Madrid, Spain},
  series       = {GECCO Companion '15},
  pages        = {1159--1166},
  doi          = {10.1145/2739482.2768470},
  url          = {<br> <a  href="https://doi.org/10.1145/2739482.2768470">link</a>|<a href="https://hal.inria.fr/hal-01161504/file/brockhoff-initialDesign-authorversion.pdf">pdf</a>},
  numpages     = 8,
  date         = {2015-07-11},
  keywords     = {Benchmarking ; Black-box optimization ; Expensive problems},
  tag          = {AutoML, EML}
}

@incollection{horn2015,
  title        = {{Model-Based Multi-Objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark}},
  author       = {Horn, D. and Wagner, T. and Biermann, D. and Weihs, C. and Bischl, B.},
  year         = 2015,
  booktitle    = {Evolutionary Multi-Criterion Optimization (EMO)},
  publisher    = {Springer},
  series       = {Lecture Notes in Computer Science},
  volume       = 9018,
  pages        = {64--78},
  doi          = {10.1007/978-3-319-15934-8_5},
  url          = {<br> <a  href="http://dx.doi.org/10.1007/978-3-319-15934-8_5">link</a>|<a href="http://www.statistik.tu-dortmund.de/~bischl/mypapers/model_based_multi_objective_optimization_taxonomy_multi_point_proposal_toolbox_and_benchmark.pdf">pdf</a>},
  date         = {2015-03-18},
  editor       = {Gaspar-Cunha, Ant{\'o}nio and Henggeler Antunes, Carlos and Coello, Carlos Coello},
  tag          = {AutoML}
}

@inproceedings{pmlr-v41-vanschoren15,
  title        = {{Taking machine learning research online with OpenML}},
  author       = {Joaquin Vanschoren and Jan N. Rijn and Bernd Bischl},
  year         = 2015,
  booktitle    = {Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications},
  publisher    = {PMLR},
  series       = {Proceedings of Machine Learning Research},
  volume       = 41,
  pages        = {1--4},
  url          = {<br><a href="http://proceedings.mlr.press/v41/vanschoren15.html">link</a>|<a href="http://proceedings.mlr.press/v41/vanschoren15.pdf">pdf</a>},
  date         = {2015-08-31},
  editor       = {Wei Fan and Albert Bifet and Qiang Yang and Philip S. Yu},
  tag          = {RSE}
}

@article{kotthaus2014,
  title        = {{Runtime and memory consumption analyses for machine learning {R} programs}},
  author       = {Kotthaus, H. and Korb, I. and Lang, M. and Bischl, B. and Rahnenf{\"u}hrer, J. and Marwedel, P.},
  year         = 2015,
  journal      = {Journal of Statistical Computation and Simulation},
  volume       = 85,
  number       = 1,
  pages        = {14--29},
  doi          = {10.1080/00949655.2014.925192},
  url          = {<br> <a  href="http://dx.doi.org/10.1080/00949655.2014.925192">link</a>},
  date         = {2015-01-02}
}

@article{lang2015,
  title        = {{Automatic model selection for high-dimensional survival analysis}},
  author       = {Lang, M. and Kotthaus, H. and Marwedel, P. and Weihs, C. and Rahnenf{\"u}hrer, J. and Bischl, B.},
  year         = 2015,
  journal      = {Journal of Statistical Computation and Simulation},
  volume       = 85,
  number       = 1,
  pages        = {62--76},
  doi          = {10.1080/00949655.2014.929131},
  url          = {<br> <a  href="http://dx.doi.org/10.1080/00949655.2014.929131">link</a>|<a href="https://d-nb.info/116939793X/34#page=31">pdf</a>},
  date         = {2015-01-02},
  tag          = {AutoML, EML}
}

@inproceedings{7280644,
  title        = {To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning},
  author       = {Mantovani, Rafael G. and Rossi, Andr{\'e} L. D. and Vanschoren, Joaquin and Bischl, Bernd and Carvalho, Andr{\'e} C. P. L. F.},
  year         = 2015,
  booktitle    = {2015 International Joint Conference on Neural Networks (IJCNN)},
  pages        = {1--8},
  doi          = {10.1109/IJCNN.2015.7280644},
  url          = {<br><a href="https://ieeexplore.ieee.org/abstract/document/7280644">link</a>|<a href="https://repositorio.unesp.br/bitstream/handle/11449/161236/WOS000370730602079.pdf?sequence=1">pdf</a>},
  date         = {2015-07-12},
  tag          = {AutoML, EML}
}

@article{mersmann2014,
  title        = {{Analyzing the {BBOB} Results by Means of Benchmarking Concepts}},
  author       = {Mersmann, O. and Preuss, M. and Trautmann, H. and Bischl, B. and Weihs, C.},
  year         = 2015,
  month        = {03},
  journal      = {Evolutionary Computation Journal},
  volume       = 23,
  number       = 1,
  pages        = {161--185},
  doi          = {doi:10.1162/EVCO_a_00134},
  url          = {<br> <a  href="https://doi.org/10.1162/EVCO\_a\_00134">link</a>|<a href="http://www.statistik.uni-dortmund.de/~bischl/mypapers/analyzing_the_bbob_results_by_means_of_benchmarking_concepts.pdf">pdf</a>},
  tag          = {AutoML, EML}
}

@incollection{bischl2014_1,
  title        = {{Benchmarking Classification Algorithms on High-Performance Computing Clusters}},
  author       = {Bischl, B. and Schiffner, J. and Weihs, C.},
  year         = 2014,
  booktitle    = {Data Analysis, Machine Learning and Knowledge Discovery},
  publisher    = {Springer},
  series       = {Studies in Classification, Data Analysis, and Knowledge Organization},
  pages        = {23--31},
  doi          = {10.1007/978-3-319-01595-8_3},
  isbn         = {978-3-319-01594-1},
  url          = {<br> <a  href="http://dx.doi.org/10.1007/978-3-319-01595-8_3">link</a> | <a href="https://d1wqtxts1xzle7.cloudfront.net/62604649/_Springer__Data_Analysis__Machine_Learning_and_knowledge_Discovery20200331-65180-q77io2.pdf?1585648984=&response-content-disposition=inline%3B+filename%3DStudies_in_Classifi_cation_Data_Analysis.pdf&Expires=1620743980&Signature=Lw4dSgkAMCONvCe7vmqSlVeCljtsQP7L3cA4Qecv7Uit4LGqzmkiOqUTE53XdCiC3rRxr3vDVxEtyyUoLptRXv9bAKC5Ek5r5xEicBzpfiRQeKH0XL82oik5sFy2q5s4BY8MqA6hSAO-Y9qofeCW40vnx6P3rWQ4rV48Ij4i7k5ObInGD7qg-9jXsYQ29nh7aqNb6iAHdZx1oNaDsU0wGqU3ALIKSa8t~fS6oVvww8DHjX5xSq19rhdbyJFFLGtNZ2n2Neg~gbcZ1JtKU7pQSHV8J14RKU4aj7VajgrLlTFeFjHUS0iKwfEnImJzPBG0UQnJ~RxoqTLRdKfnxQMDWg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA#page=42">pdf</a>},
  editor       = {Spiliopoulou, M. and Schmidt-Thieme, L. and Janning, R.},
  tag          = {EML}
}

@incollection{bischl2014_2,
  title        = {{{MOI-MBO}: Multiobjective Infill for Parallel Model-Based Optimization}},
  author       = {Bischl, B. and Wessing, S. and Bauer, N. and Friedrichs, K. and Weihs, C.},
  year         = 2014,
  booktitle    = {Learning and Intelligent Optimization},
  publisher    = {Springer},
  series       = {Lecture Notes in Computer Science},
  pages        = {173--186},
  doi          = {10.1007/978-3-319-09584-4_17},
  isbn         = {978-3-319-09583-7},
  url          = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-319-09584-4_17">link</a> | <a href="https://www.researchgate.net/profile/Bernd-Bischl/publication/297714992_MOI-MBO_Multiobjective_Infill_for_Parallel_Model-Based_Optimization/links/56fa371408ae95e8b6d40d9a/MOI-MBO-Multiobjective-Infill-for-Parallel-Model-Based-Optimization.pdf">pdf</a>},
  editor       = {Pardalos, Panos M. and Resende, Mauricio G.C. and Vogiatzis, Chrysafis and Walteros, Jose L.},
  tag          = {AutoML}
}

@inproceedings{kerschke2014,
  title        = {{Cell Mapping Techniques for Exploratory Landscape Analysis}},
  author       = {Kerschke, P. and Preuss, M. and Hern{\'a}ndez, C. and Sch{\"u}tze, O. and Sun, J.-Q. and Grimme, C. and Rudolph, G. and Bischl, B. and Trautmann, H.},
  year         = 2014,
  booktitle    = {Proceedings of the {EVOLVE 2014}: {A} Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation},
  publisher    = {Springer},
  pages        = {115--131},
  url          = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-319-07494-8_9">link</a> | <a href="https://www.slds.stat.uni-muenchen.de/bibrefs/pdfs/cell_mapping_techniques_for_exploratory_landscape_analysis.pdf">pdf</a>},
  tag          = {AutoML}
}

@incollection{meyer2014,
  title        = {{Support Vector Machines on Large Data Sets: Simple Parallel Approaches}},
  author       = {Meyer, O. and Bischl, B. and Weihs, C.},
  year         = 2014,
  booktitle    = {Data Analysis, Machine Learning and Knowledge Discovery},
  publisher    = {Springer},
  series       = {Studies in Classification, Data Analysis, and Knowledge Organization},
  pages        = {87--95},
  doi          = {10.1007/978-3-319-01595-8_10},
  isbn         = {978-3-319-01594-1},
  url          = {<br> <a  href="http://dx.doi.org/10.1007/978-3-319-01595-8_10">link</a> | <a href="https://d1wqtxts1xzle7.cloudfront.net/62601548/_Springer__Data_Analysis__Machine_Learning_and_knowledge_Discovery20200331-79949-17srxvd.pdf?1585645504=&response-content-disposition=inline%3B+filename%3DStudies_in_Classifi_cation_Data_Analysis.pdf&Expires=1620743808&Signature=KtBGqQHGL36FaboidBAKKWBGBvFEpH94~PxiMG3u4Ijk2lWtErCvXD-CX1NCjs87sGnQYZd9N4cNdrJDEdxDktuU33DrhXsTYBumKMxSMaZ7Zhi5hTAYlLnhLLQ3F2veMa1FLjPdRwA91aU1NL3GHw6-Vqsis7k4JPTHmnBieITSiCFH057O-bOdfs1Sjf37CIwxW96W4q1cHnaiZteZ6pcC0e0OJ18nv7LfH1atZQA0lo5amfVUB51B-fYLhaHbbfQl0JKqJQGFPM4s1A7I78wqvYNWxyq7DDkOIR~iY7V8oQCfFeGgoJmnBCyp1J5SaObg7z0v0hmwBQYpE0sVcQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA#page=102">pdf</a>},
  editor       = {Spiliopoulou, M. and Schmidt-Thieme, L. and Janning, R.}
}

@article{vanschoren2014,
  title        = {{{OpenML}: Networked Science in Machine Learning}},
  author       = {Vanschoren, J. and van Rijn, J. N. and Bischl, B. and Torgo, L.},
  year         = 2014,
  journal      = {SIGKDD Explorations Newsletter},
  volume       = 15,
  number       = 2,
  pages        = {49--60},
  url          = {<br> <a  href="http://doi.acm.org/10.1145/2641190.2641198">link</a> | <a href="https://arxiv.org/pdf/1407.7722.pdf">pdf</a>},
  tag          = {RSE, EML}
}

@incollection{vatolkin2014,
  title        = {{Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition}},
  author       = {Vatolkin, I. and Bischl, B. and Rudolph, G. and Weihs, C.},
  year         = 2014,
  booktitle    = {Data Analysis, Machine Learning and Knowledge Discovery},
  publisher    = {Springer},
  series       = {Studies in Classification, Data Analysis, and Knowledge Organization},
  pages        = {171--178},
  doi          = {10.1007/978-3-319-01595-8_19},
  isbn         = {978-3-319-01594-1},
  url          = {<br> <a  href="http://dx.doi.org/10.1007/978-3-319-01595-8_19">link</a> | <a href="https://d1wqtxts1xzle7.cloudfront.net/62604649/_Springer__Data_Analysis__Machine_Learning_and_knowledge_Discovery20200331-65180-q77io2.pdf?1585648984=&response-content-disposition=inline%3B+filename%3DStudies_in_Classifi_cation_Data_Analysis.pdf&Expires=1620744079&Signature=d6cdjwmMG1kvPbuD1n-fvIcCj0ZGElnva9EQxNWowmI9OvLaNtKcazvbnNLrNJ46J~bQPH85uVV7-NmLubEi~dKALB88nHdsYLtXddsV4MOdha7pqYRlzUqZfDCnIWvBk1FJcVBUNFRLlQKomkCE07e1653FQDg~Dkow4oVj0incEqG3PpI3NRBWcgZxTcLKFMPDc3blt4vPrEx7p2phstjyHfhH-TDiMJk9lCZZbl4lNjNETwL646rNb1iLQNYrh4vaORAJ5yH7V2u1aBt6s2ZBw38qjOJJUGkwx0WPq36U0bTp-wywpYa-epnoHI5F6MkYX-TS29MBrLEYvElzhA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA#page=182">pdf</a>},
  editor       = {Spiliopoulou, M. and Schmidt-Thieme, L. and Janning, R.},
  tag          = {AutoML}
}

@article{bischl2013_2,
  title        = {{Benchmarking local classification methods}},
  author       = {Bischl, Bernd and Schiffner, Julia and Weihs, Claus},
  year         = 2013,
  journal      = {Computational Statistics},
  publisher    = {Springer-Verlag},
  volume       = 28,
  number       = 6,
  pages        = {2599--2619},
  doi          = {10.1007/s00180-013-0420-y},
  issn         = {0943--4062},
  url          = {<br> <a  href="http://dx.doi.org/10.1007/s00180-013-0420-y">link</a> | <a href="https://www.researchgate.net/profile/Bernd-Bischl/publication/257338179_Benchmarking_local_classification_methods/links/553b75240cf2c415bb092864/Benchmarking-local-classification-methods.pdf">pdf</a>},
  date         = {2013-05-08},
  tag          = {EML}
}

@incollection{hess2013,
  title        = {{{PROGRESS}: Progressive Reinforcement-Learning-Based Surrogate Selection}},
  author       = {Hess, S. and Wagner, T. and Bischl, B.},
  year         = 2013,
  booktitle    = {Learning and Intelligent Optimization},
  publisher    = {Springer},
  series       = {Lecture Notes in Computer Science},
  pages        = {110--124},
  doi          = {10.1007/978-3-642-44973-4_13},
  isbn         = {978-3-642-44972-7},
  url          = {<br> <a  href="https://doi.org/10.1007/978-3-642-44973-4_13">link</a> | <a href="https://www.slds.stat.uni-muenchen.de/bibrefs/pdfs/progress_progressive_reinforcement_learning_based_surrogate_selection.pdf">pdf</a>},
  editor       = {Nicosia, Giuseppe and Pardalos, Panos},
  date         = {2013-11-26},
  tag          = {AutoML}
}

@article{mersmann2013,
  title        = {{A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem}},
  author       = {Mersmann, O. and Bischl, B. and Trautmann, H. and Wagner, M. and Bossek, J. and Neumann, F.},
  year         = 2013,
  journal      = {Annals of Mathematics and Artificial Intelligence},
  publisher    = {Springer Netherlands},
  volume       = 69,
  pages        = {151--182},
  doi          = {10.1007/s10472-013-9341-2},
  url          = {<br> <a  href="https://doi.org/10.1007/s10472-013-9341-2">link</a> | < <a href="https://arxiv.org/pdf/1208.2318.pdf">pdf</a>},
  date         = {2013-10-01},
  tag          = {AutoML}
}

@inproceedings{nallaperuma2013,
  title        = {{A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem}},
  author       = {Nallaperuma, S. and Wagner, M. and Neumann, F. and Bischl, B. and Mersmann, O. and Trautmann, H.},
  year         = 2013,
  booktitle    = {Foundations of Genetic Algorithms (FOGA)},
  doi          = {10.1145/2460239.2460253},
  url          = {<br> <a  href="https://dl.acm.org/doi/abs/10.1145/2460239.2460253">link</a> | <a href="https://hekyll.services.adelaide.edu.au/dspace/bitstream/2440/83888/2/RA_hdl_83888.pdf">pdf</a>},
  date         = {2013-01-16}
}

@inproceedings{rijn2013,
  title        = {{{OpenML}: A Collaborative Science Platform}},
  author       = {van Rijn, J. and Bischl, B. and Torgo, L. and Gao, G. and Umaashankar, V. and Fischer, S. and Winter, P. and Wiswedel, B. and Berthold, M.R. and Vanschoren, J.},
  year         = 2013,
  booktitle    = {Machine Learning and Knowledge Discovery in Databases},
  publisher    = {Springer Berlin Heidelberg},
  address      = {Berlin, Heidelberg},
  pages        = {645--649},
  doi          = {10.1007/978-3-642-40994-3_46},
  url          = {<br> <a href="https://doi.org/10.1007/978-3-642-40994-3_46">link</a> | <a  href="https://link.springer.com/content/pdf/10.1007/978-3-642-40994-3_46.pdf">pdf</a>},
  date         = {2013-09-22}
}

@inproceedings{rijn2013_2,
  title        = {{A {RapidMiner} extension for {Open Machine Learning}}},
  author       = {van Rijn, J. and Umaashankar, V. and Fischer, S. and Bischl, B. and Torgo, L. and Gao, B. and Winter, P. and Wiswedel, B. and Berthold, M. R. and Vanschoren, J.},
  year         = 2013,
  booktitle    = {{RapidMiner} Community Meeting and Conference ({RCOMM})},
  pages        = {59--70},
  isbn         = {978-3-8440-2145-5},
  url          = {<br> <a href="https://research.tue.nl/en/publications/a-rapidminer-extension-for-open-machine-learning">link</a> | <a  href="https://ml.informatik.uni-freiburg.de/papers/13-RCOMM-RapidMiner.pdf">pdf</a>}
}

@techreport{Bischl2012_2,
  title        = {{Computing on high performance clusters with {R}: Packages {BatchJobs} and {BatchExperiments}}},
  author       = {Bischl, B. and Lang, M. and Mersmann, O. and Rahnenfuehrer, J. and Weihs, C.},
  year         = 2012,
  publisher    = {SFB 876, TU Dortmund University},
  url          = {<br> <a  href="http://sfb876.tu-dortmund.de/PublicPublicationFiles/bischl_etal_2012a.pdf">link</a>},
  institution  = {TU Dortmund}
}

@inproceedings{bischl2012_4,
  title        = {{Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning}},
  author       = {Bischl, B. and Mersmann, O. and Trautmann, H. and Preuss, M.},
  year         = 2012,
  booktitle    = {Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation},
  pages        = {313--320},
  doi          = {10.1145/2330163.2330209},
  url          = {<br> <a  href="https://doi.org/10.1145/2330163.2330209">link</a> | <a href="https://www.statistik.tu-dortmund.de/~bischl/mypapers/algorithm_selection_based_on_exploratory_landscape_analysis_and_cost_sensitive_learning.pdf">pdf</a>},
  date         = {2012-07-07},
  tag          = {AutoML}
}

@article{bischl2012,
  title        = {{Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation}},
  author       = {Bischl, B. and Mersmann, O. and Trautmann, H. and Weihs, C.},
  year         = 2012,
  month        = {06},
  journal      = {Evolutionary Computation},
  volume       = 20,
  number       = 2,
  pages        = {249--275},
  doi          = {10.1162/EVCO_a_00069},
  url          = {<br> <a href="https://doi.org/10.1162/EVCO_a_00069">link</a> | <a  href="http://www.mitpressjournals.org/doi/pdf/10.1162/EVCO_a_00069">pdf</a>},
  tag          = {AutoML, EML}
}

@article{koch2012,
  title        = {{Tuning and evolution of support vector kernels}},
  author       = {Koch, P. and Bischl, B. and Flasch, O. and Bartz-Beielstein, T. and Weihs, C. and Konen, W.},
  year         = 2012,
  journal      = {Evolutionary Intelligence},
  volume       = 5,
  number       = 3,
  pages        = {153--170},
  doi          = {10.1007/s12065-012-0073-8},
  url          = {<br> <a  href="https://link.springer.com/article/10.1007/s12065-012-0073-8">link</a> | <a href="https://www.spotseven.de/wp-content/papercite-data/pdf/koch12b.pdf">pdf</a>},
  date         = {2012-05-04},
  tag          = {AutoML}
}

@inproceedings{mersmann2012,
  title        = {{Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness}},
  author       = {Mersmann, O. and Bischl, B. and Bossek, J. and Trautmann, H. and Wagner M. and Neumann, F.},
  year         = 2012,
  booktitle    = {Learning and Intelligent Optimization Conference (LION)},
  publisher    = {Springer Berlin Heidelberg},
  address      = {Berlin, Heidelberg},
  pages        = {115--129},
  doi          = {10.1007/978-3-642-34413-8_9},
  url          = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-642-34413-8_9">link</a> | <a href="https://cs.adelaide.edu.au/users/markus/pub/2012lion.pdf">pdf</a>},
  date         = {2012-02-16},
  tag          = {AutoML}
}

@misc{Nallaperuma_featuresof,
  title        = {Features of Easy and Hard Instances for Approximation Algorithms and the Traveling Salesperson Problem},
  author       = {Samadhi Nallaperuma and Markus Wagner and Frank Neumann and Bernd Bischl and Olaf Mersmann and Heike Trautmann},
  year         = 2012,
  publisher    = {Citeseer},
  url          = {<br><a href="https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.3219&rank=1&q=Features%20of%20Easy%20and%20Hard%20Instances%20for&osm=&ossid=">link</a> | <a href="https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.704.3219&rep=rep1&type=pdf">pdf</a>},
  date         = {2012-09-01}
}

@inproceedings{schiffner2012,
  title        = {{Bias-variance analysis of local classification methods}},
  author       = {Schiffner, J. and Bischl, B. and Weihs, C.},
  year         = 2012,
  booktitle    = {Challenges at the Interface of Data Analysis, Computer Science, and Optimization},
  publisher    = {Springer},
  address      = {Berlin Heidelberg},
  series       = {Studies in Classification, Data Analysis, and Knowledge Organization},
  pages        = {49--57},
  doi          = {10.1007/978-3-642-24466-7_6},
  url          = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-642-24466-7_6">link</a>},
  editor       = {Gaul, W. and Geyer-Schulz, A. and Schmidt-Thieme, L. and Kunze, J.},
  date         = {2012-01-05},
  tag          = {EML}
}

@inproceedings{weihs2010,
  title        = {{A Case Study on the Use of Statistical Classification Methods in Particle Physics}},
  author       = {Weihs, C. and Mersmann O. and Bischl, B. and Fritsch, A. and Trautmann, H. and Karbach, T.-M. and Spaan, B.},
  year         = 2012,
  booktitle    = {Challenges at the Interface of Data Analysis, Computer Science, and Optimization},
  publisher    = {Springer Berlin Heidelberg},
  address      = {Berlin, Heidelberg},
  pages        = {69--77},
  url          = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-642-24466-7_8">link</a>},
  date         = {2012-01-05}
}

@article{blume2011,
  title        = {{Huge Music Archives on Mobile Devices}},
  author       = {Blume, H. and Bischl, B. and Botteck, M. and Igel, C. and Martin, R. and Roetter, G. and Rudolph, G. and Theimer, W. and Vatolkin, I. and Weihs, C.},
  year         = 2011,
  journal      = {IEEE Signal Processing Magazine},
  volume       = 28,
  number       = 4,
  pages        = {24--39},
  doi          = {10.1109/MSP.2011.940880},
  url          = {<br> <a  href="https://ieeexplore.ieee.org/abstract/document/5888636">link</a>},
  date         = {2011-06-16}
}

@techreport{Koch2011,
  title        = {{On the Tuning and Evolution of Support Vector Kernels}},
  author       = {Koch, P. and Bischl, B. and Flasch, O. and Bartz-Beielstein, T. and Konen, W.},
  year         = 2011,
  publisher    = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
  address      = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
  url          = {<br> <a  href="http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Koch11a.d/svmTuning.pdf">link</a>},
  institution  = {Cologne University of Applied Science},
  tag          = {AutoML}
}

@inproceedings{mersmann2011,
  title        = {{Exploratory Landscape Analysis}},
  author       = {Mersmann, O. and Bischl, B. and Trautmann, H. and Preuss, M. and Weihs, C. and Rudolph, G.},
  year         = 2011,
  booktitle    = {Proceedings of the 13th annual conference on genetic and evolutionary computation (GECCO {\textquoteright}11)},
  publisher    = {Association for Computing Machinery},
  address      = {New York, NY, USA},
  pages        = {829--836},
  doi          = {10.1145/2001576.2001690},
  url          = {<br> <a  href="https://doi.org/10.1145/2001576.2001690">link</a>},
  editor       = {Natalio Krasnogor},
  date         = {2011-07-12},
  tag          = {AutoML}
}

@inproceedings{weihs2011,
  title        = {{Statistics for hearing aids: Auralization}},
  author       = {Weihs, C. and Friedrichs, K and Bischl, B.},
  year         = 2011,
  booktitle    = {Second Bilateral German-Polish Symposium on Data Analysis and its Applications (GPSDAA)}
}

@inproceedings{bischl2010_2,
  title        = {{Selecting Groups of Audio Features by Statistical Tests and the Group Lasso}},
  author       = {Bischl, B. and Eichhoff, M. and Weihs, C.},
  year         = 2010,
  booktitle    = {9. ITG Fachtagung Sprachkommunikation},
  publisher    = {VDE Verlag},
  address      = {Berlin, Offenbach},
  url          = {<br> <a  href="http://www.vde-verlag.de/proceedings-de/453300015.html">link</a>}
}

@inproceedings{bischl2010,
  title        = {{Resampling Methods in Model Validation}},
  author       = {Bischl, B. and Mersmann, O. and Trautmann, H.},
  year         = 2010,
  booktitle    = {WEMACS -- Proceedings of the Workshop on Experimental Methods for the Assessment of Computational Systems, Technical Report TR 10-2-007},
  publisher    = {Department of Computer Science, TU Dortmund University},
  url          = {<br> <a  href="http://ls11-www.cs.uni-dortmund.de/_media/techreports/tr10-07.pdf">link</a>},
  editor       = {Bartz-Beielstein, T. and Chiarandini, M. and Paquete, L. and Preuss, M.},
  tag          = {AutoML}
}

@inproceedings{bischl2010_3,
  title        = {{Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation}},
  author       = {Bischl, B. and Vatolkin, I. and Preuss, M.},
  year         = 2010,
  booktitle    = {Parallel Problem Solving from Nature, PPSN XI},
  publisher    = {Springer},
  series       = {Lecture Notes in Computer Science},
  volume       = 6238,
  pages        = {314--323},
  url          = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-642-15844-5_32">link</a>},
  date         = {2010-09-11}
}

@inproceedings{szepannek2010,
  title        = {{Perceptually Based Phoneme Recognition in Popular Music}},
  author       = {Szepannek, G. and Gruhne, M. and Bischl, B. and Krey, S. and Harczos, T. and Klefenz, F. and Dittmar, C. and Weihs, C.},
  year         = 2010,
  booktitle    = {Classification as a Tool for Research},
  publisher    = {Springer},
  address      = {Berlin Heidelberg},
  series       = {Studies in Classification, Data Analysis, and Knowledge Organization},
  volume       = 40,
  pages        = {751--758},
  doi          = {10.1007/978-3-642-10745-0_83},
  url          = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-642-10745-0_83">link</a>},
  editor       = {Locarek-Junge, H. and Weihs, C.},
  date         = {2010-05-10}
}

@techreport{Bischl2009Frequency,
  title        = {{Frequency estimation by {DFT} interpolation: A comparison of methods}},
  author       = {Bischl, B. and Ligges, U. and Weihs, C.},
  year         = 2009,
  month        = 6,
  publisher    = {SFB 475, Faculty of Statistics, TU Dortmund, Germany},
  url          = {<br><a hred="http://hdl.handle.net/10419/36600">link</a> | <a  href="https://www.econstor.eu/bitstream/10419/36600/1/600486931.PDF">pdf</a>},
  institution  = {TU Dortmund}
}

@article{SZEPANNEK200979,
  title        = {On the combination of locally optimal pairwise classifiers},
  author       = {Szepannek, G. and Bischl, B. and Weihs, C.},
  year         = 2009,
  journal      = {Engineering Applications of Artificial Intelligence},
  publisher    = {Springer},
  address      = {Berlin Heidelberg},
  volume       = 22,
  number       = 1,
  pages        = {79--85},
  doi          = {https://doi.org/10.1016/j.engappai.2008.04.009},
  issn         = {0952--1976},
  url          = {<br> <a  href="https://www.sciencedirect.com/science/article/abs/pii/S0952197608000857">link</a>}
}

@article{szepannek2008,
  title        = {{On the Combination of Locally Optimal Pairwise Classifiers}},
  author       = {Szepannek, G. and Bischl, B. and Weihs, C.},
  year         = 2008,
  journal      = {Journal of Engineering Applications of Artificial Intelligence},
  volume       = 22,
  number       = 1,
  pages        = {79--85},
  url          = {<br> <a  href="http://link.springer.com/chapter/10.1007%2F978-3-540-73499-4_9">link</a>}
}

@article{burdukiewicz2018conference,
  title        = {Conference Report: Why R? 2018},
  author       = {Burdukiewicz, Micha{\l} and Karas, Marta and Jessen, Leon Eyrich and Kosinski, Marcin and Bischl, Bernd and R{\"o}diger, Stefan},
  journal      = {The R Journal},
  publisher    = {R Foundation for Statistical Computing},
  volume       = 10,
  number       = 2,
  pages        = {572--578},
  url          = {<br><a href="https://journal.r-project.org/archive/2018-2/whyR.pdf">pdf</a>},
  date         = {2018-12-01}
}

@article{Dexl2022,
  title        = {Robust Colon Tissue Cartography with Semi-Supervision},
  author       = {Dexl, Jakob and Benz, Michaela and Kuritcyn, Petr and Wittenberg, Thomas and Bruns, Volker and Geppert, Carol and Hartmann, Arndt and Bischl, Bernd and Goschenhofer, Jann},
  journal      = {Current Directions in Biomedical Engineering},
  publisher    = {De Gruyter},
  volume       = 8,
  number       = 2,
  pages        = {344--347},
  url          = {<br><a href="https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1088/html">link</a>|<a href = "https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1088/html">pdf</a>},
  file         = {:Dexl2022.pdf:PDF},
  date         = {2022-09-21},
  keywords     = {jann, diss, contribution, ada, ssl},
  tag          = {Beyond}
}

@inproceedings{goschenhofer2022cctop,
  title        = {{CC}-Top: Constrained Clustering for Dynamic Topic Discovery},
  author       = {Jann Goschenhofer and Pranav Ragupathy and Christian Heumann and Bernd Bischl and Matthias A{\ss}enmacher},
  booktitle    = {Workshop on Ever Evolving NLP (EvoNLP)},
  publisher    = {Association for Computational Linguistics},
  address      = {Abu Dhabi, United Arab Emirates},
  url          = {<br><a href="https://preview.aclanthology.org/emnlp-22-ingestion/2022.evonlp-1.5/">link</a>|<a href = "https://preview.aclanthology.org/emnlp-22-ingestion/2022.evonlp-1.5.pdf">pdf</a>},
  date         = {2022-12-07},
  tag          = {Beyond, nlp}
}

@article{rugamer2020unifying,
  title        = {Semi-Structured Distributional Regression},
  author       = {R{\"u}gamer, David and Kolb, Chris and Klein, Nadja},
  journal      = {The American Statistician},
  url          = {<br><a href="https://arxiv.org/abs/2002.05777">link</a>|<a href = "https://arxiv.org/pdf/2002.05777.pdf">pdf</a>},
  note         = {Accepted},
  date         = {2023-02-10},
  tag          = {Prob}
}

@inproceedings{kotthaus2016a,
  title        = {{Faster Model-Based Optimization through Resource-Aware Scheduling Strategies}},
  author       = {Richter, Jakob and Kotthaus, Helena and Bischl, Bernd and Marwedel, Peter and Rahnenf\"uhrer, J\"org and Lang, Michel},
  booktitle    = {Proceedings of the 10th Learning and Intelligent OptimizatioN Conference (LION 10)},
  address      = {Ischia Island (Napoli), Italy},
  url          = {<br> <a  href="https://www.springer.com/de/book/9783319503486">link</a>|<a href="https://www.slds.stat.uni-muenchen.de/bibrefs/pdfs/lion2016_final.pdf">pdf</a>},
  date         = {2016-05-29},
  confidential = {n},
  tag          = {AutoML}
}

@article{Rueger2022,
  title        = {Deep-Learning-based Aluminum Sorting on Dual Energy X-Ray Transmission Data},
  author       = {Rueger, Steffen and Goschenhofer, Jann and Nath, Ayush and Firsching, Markus and Ennen, Alexander and Bischl, Bernd},
  journal      = {Sensor-based Sorting and Control},
  doi          = {10.2370/9783844085457},
  issn         = {978-3-8440-8516-7},
  url          = {<br><a href="https://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=978-3-8440-8516-7">link</a>|<a href = "https://www.shaker.de/de/content/catalogue/Element.asp?ID=&Element_ID=62921&Mode=Download">pdf</a>},
  date         = {2022-04-23},
  file         = {:Rueger2022.pdf:PDF},
  tag          = {Consulting, Prob}
}

@article{stuber2023comprehensive,
  title        = {A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC},
  author       = {St{\"u}ber, Anna Theresa and Coors, Stefan and Schachtner, Balthasar and Weber, Tobias and R{\"u}gamer, David and Bender, Andreas and Mittermeier, Andreas and {\"O}cal, Osman and Seidensticker, Max and Ricke, Jens and others},
  journal      = {Investigative Radiology},
  publisher    = {LWW},
  pages        = {10--1097},
  date         = {2023-07-28},
  tag          = {EML, Survival},
  url          = {<br><a href="https://journals.lww.com/investigativeradiology/fulltext/2023/12000/a_comprehensive_machine_learning_benchmark_study.6.aspx">link</a>}
}

@article{vanschoren2015towards,
  title        = {Towards a data science collaboratory},
  author       = {Vanschoren, Joaquin and Bischl, Bernd and Hutter, Frank and Sebag, Michele and Kegl, Balazs and Schmid, Matthias and Napolitano, Giulio and Wolstencroft, Katy},
  journal      = {Lecture Notes in Computer Science (IDA 2015)},
  volume       = 9385,
  url          = {<br><a href="https://pure.tue.nl/ws/portalfiles/portal/56901844/vanstowa2015.pdf">pdf</a>},
  date         = {2015-01-01},
  tag          = {RSE}
}

@Article{Rodemann2024,
  author  = {Rodemann, Julian and Croppi, Federico and Arens, Philipp and Sale, Yusuf and Herbinger, Julia and Bischl, Bernd and H{\"u}llermeier, Eyke and Augustin, Thomas and Walsh, Conor J and Casalicchio, Giuseppe},
  journal = {arXiv preprint arXiv:2403.04629},
  title   = {Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration},
  year    = {2024},
  tag     = {IML},
  url     = {<br> <a href="https://arxiv.org/abs/2403.04629">link</a> | <a href = "https://arxiv.org/pdf/2403.04629">pdf</a>},
}

@Article{Gkolemis2024,
  author  = {Gkolemis, Vasilis and Diou, Christos and Ntoutsi, Eirini and Dalamagas, Theodore and Bischl, Bernd and Herbinger, Julia and Casalicchio, Giuseppe},
  journal = {arXiv preprint arXiv:2404.02629},
  title   = {Effector: A Python package for regional explanations},
  year    = {2024},
  tag     = {IML, RSE},
  url     = {<br> <a href="https://arxiv.org/abs/2404.02629">link</a> | <a href = "https://arxiv.org/pdf/2404.02629">pdf</a>},
}

@InProceedings{Baniecki2024,
  author       = {Baniecki, Hubert and Casalicchio, Giuseppe and Bischl, Bernd and Biecek, Przemyslaw},
  booktitle    = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  title        = {On the Robustness of Global Feature Effect Explanations},
  year         = {2024},
  organization = {Springer Nature Switzerland Cham},
  pages        = {125--142},
  tag          = {IML},
  url          = {<br> <a href="https://doi.org/10.1007/978-3-031-70344-7_8">link</a> | <a href = "https://arxiv.org/pdf/2406.09069">pdf</a>},
}

@Article{Baniecki2024a,
  author  = {Baniecki, Hubert and Casalicchio, Giuseppe and Bischl, Bernd and Biecek, Przemyslaw},
  journal = {arXiv preprint arXiv:2406.18334},
  title   = {Efficient and Accurate Explanation Estimation with Distribution Compression},
  year    = {2024},
  tag     = {IML},
  url     = {<br> <a href="https://arxiv.org/abs/2406.18334">link</a> | <a href = "https://arxiv.org/pdf/2406.18334">pdf</a>},
}

@InProceedings{Herbinger2024,
  author    = {Herbinger, Julia and Dandl, Susanne and Ewald, Fiona K. and Loibl, Sofia and Casalicchio, Giuseppe},
  booktitle = {Artificial Intelligence. ECAI 2023 International Workshops},
  title     = {Leveraging Model-Based Trees as Interpretable Surrogate Models for Model Distillation},
  year      = {2024},
  address   = {Cham},
  editor    = {Nowaczyk, S{\l}awomir and Biecek, Przemys{\l}aw and Chung, Neo Christopher and Vallati, Mauro and Skruch, Pawe{\l} and Jaworek-Korjakowska, Joanna and Parkinson, Simon and Nikitas, Alexandros and Atzm{\"u}ller, Martin and Kliegr, Tom{\'a}{\v{s}} and Schmid, Ute and Bobek, Szymon and Lavrac, Nada and Peeters, Marieke and van Dierendonck, Roland and Robben, Saskia and Mercier-Laurent, Eunika and Kayakutlu, G{\"u}lg{\"u}n and Owoc, Mieczyslaw Lech and Mason, Karl and Wahid, Abdul and Bruno, Pierangela and Calimeri, Francesco and Cauteruccio, Francesco and Terracina, Giorgio and Wolter, Diedrich and Leidner, Jochen L. and Kohlhase, Michael and Dimitrova, Vania},
  pages     = {232--249},
  publisher = {Springer Nature Switzerland},
  abstract  = {Surrogate models play a crucial role in retrospectively interpreting complex and powerful black box machine learning models via model distillation. This paper focuses on using model-based trees as surrogate models which partition the feature space into interpretable regions via decision rules. Within each region, interpretable models based on additive main effects are used to approximate the behavior of the black box model, striking for an optimal balance between interpretability and performance. Four model-based tree algorithms, namely SLIM, GUIDE, MOB, and CTree, are compared regarding their ability to generate such surrogate models. We investigate fidelity, interpretability, stability, and the algorithms' capability to capture interaction effects through appropriate splits. Based on our comprehensive analyses, we finally provide an overview of user-specific recommendations.},
  isbn      = {978-3-031-50396-2},
  tag       = {IML},
  url       = {<br><a href="https://link.springer.com/chapter/10.1007/978-3-031-50396-2_13">link</a> | <a href = "https://arxiv.org/pdf/2310.03112">pdf</a>},
}

@InProceedings{Dandl2023,
  author    = {Dandl, Susanne and Casalicchio, Giuseppe and Bischl, Bernd and Bothmann, Ludwig},
  booktitle = {ECML PKDD 2023: Machine Learning and Knowledge Discovery in Databases: Research Track},
  title     = {Interpretable Regional Descriptors: Hyperbox-Based Local Explanations},
  year      = {2023},
  address   = {Cham},
  editor    = {Koutra, Danai and Plant, Claudia and Gomez Rodriguez, Manuel and Baralis, Elena and Bonchi, Francesco},
  month     = sep,
  pages     = {479--495},
  publisher = {Springer Nature Switzerland},
  doi       = {10.1007/978-3-031-43418-1_29},
  tag       = {IML},
  url       = {<br><a href="https://link.springer.com/chapter/10.1007/978-3-031-43418-1_29">link</a> | <a href="https://arxiv.org/pdf/2305.02780">pdf</a>},
}

@article{dandl2025counterfactuals,
  title={Counterfactuals: an R package for counterfactual explanation methods},
  author={Dandl, Susanne and Hofheinz, Andreas and Binder, Martin and Bischl, Bernd and Casalicchio, Giuseppe},
  journal={Journal of Statistical Software},
  volume={115},
  pages={1--48},
  year={2025}
}


@Article{Dandl2023a,
  author = {Susanne Dandl and Andreas Hofheinz and Martin Binder and Bernd Bischl and Giuseppe Casalicchio},
  title  = {counterfactuals: An {R} Package for Counterfactual Explanation Methods},
  journal={Journal of Statistical Software},
  volume={115},
  pages={1--48},
  year={2025},
  doi    = {10.18637/jss.v115.i09},
  tag    = {IML, RSE},
  url    = {<br><a href="https://www.jstatsoft.org/article/view/v115i09">link</a> | <a href = "https://www.jstatsoft.org/index.php/jss/article/view/v115i09/4784">pdf</a>},
}

@Article{Molnar2023,
  author  = {Molnar, Christoph and K{\"o}nig, Gunnar and Bischl, Bernd and Casalicchio, Giuseppe},
  journal = {Data Mining and Knowledge Discovery},
  title   = {Model-agnostic Feature Importance and Effects with Dependent Features--A Conditional Subgroup Approach},
  year    = {2023},
  issn    = {1573-756X},
  month   = {Jan},
  day     = {10},
  doi     = {10.1007/s10618-022-00901-9},
  tag     = {IML},
  url     = {<br> <a href="https://doi.org/10.1007/s10618-022-00901-9">link</a> | <a href="https://arxiv.org/pdf/2006.04628">pdf</a>},
}

@InProceedings{Scholbeck2023,
  author    = {Scholbeck, Christian A. and Funk, Henri and Casalicchio, Giuseppe},
  booktitle = {Explainable Artificial Intelligence},
  title     = {Algorithm-Agnostic Feature Attributions for Clustering},
  year      = {2023},
  address   = {Cham},
  editor    = {Longo, Luca},
  pages     = {217--240},
  publisher = {Springer Nature Switzerland},
  isbn      = {978-3-031-44064-9},
  tag       = {IML, Beyond},
  url       = {<br><a href="https://link.springer.com/chapter/10.1007/978-3-031-44064-9_13">link</a> | <a href = "https://arxiv.org/pdf/2209.10578">pdf</a>},
}

@InProceedings{Molnar2023a,
  author    = {Molnar, Christoph and Freiesleben, Timo and K{\"o}nig, Gunnar and Herbinger, Julia and Reisinger, Tim and Casalicchio, Giuseppe and Wright, Marvin N. and Bischl, Bernd},
  booktitle = {Explainable Artificial Intelligence},
  title     = {Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process},
  year      = {2023},
  address   = {Cham},
  editor    = {Longo, Luca},
  pages     = {456--479},
  publisher = {Springer Nature Switzerland},
  isbn      = {978-3-031-44064-9},
  tag       = {IML},
  url       = {<br> <a href="https://arxiv.org/abs/2109.01433">link</a> | <a href = "https://arxiv.org/pdf/2109.01433">pdf</a>},
}

@Article{Herbinger2023,
  author  = {Herbinger, Julia and Bischl, Bernd and Casalicchio, Giuseppe},
  journal = {arXiv preprint arXiv:2306.00541},
  title   = {Decomposing Global Feature Effects Based on Feature Interactions},
  year    = {2023},
  tag     = {IML},
  url     = {<br> <a  href="https://arxiv.org/abs/2306.00541">link</a> | <a href="https://arxiv.org/pdf/2306.00541">pdf</a>},
}

@Article{Loewe2023,
  author  = {L{\"o}we, Holger and Scholbeck, Christian A and Heumann, Christian and Bischl, Bernd and Casalicchio, Giuseppe},
  journal = {arXiv preprint arXiv:2310.02008},
  title   = {fmeffects: An R Package for Forward Marginal Effects},
  year    = {2023},
  tag     = {IML, RSE},
  url     = {<br> <a  href="https://arxiv.org/abs/2310.02008">link</a> | <a href="https://arxiv.org/pdf/2310.02008">pdf</a>},
}

@Article{Scholbeck2023a,
  author  = {Scholbeck, Christian A and Moosbauer, Julia and Casalicchio, Giuseppe and Gupta, Hoshin and Bischl, Bernd and Heumann, Christian},
  journal = {arXiv preprint arXiv:2312.13234},
  title   = {Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis},
  year    = {2023},
  tag     = {IML},
  url     = {<br> <a href="https://arxiv.org/abs/2312.13234">link</a> | <a href = "https://arxiv.org/pdf/2312.13234">pdf</a>},
}

@Article{Au2022,
  author    = {Au, Quay and Herbinger, Julia and Stachl, Clemens and Bischl, Bernd and Casalicchio, Giuseppe},
  journal   = {Data Mining and Knowledge Discovery},
  title     = {Grouped Feature Importance and Combined Features Effect Plot},
  year      = {2022},
  number    = {4},
  pages     = {1401--1450},
  volume    = {36},
  publisher = {Springer},
  tag       = {IML},
  url       = {<br> <a href="https://link.springer.com/article/10.1007/s10618-022-00840-5"> link </a> | <a href="https://arxiv.org/pdf/2104.11688.pdf"> pdf </a>},
}

@InProceedings{Bothmann2022,
  author    = {Bothmann, Ludwig and Strickroth, Sven and Casalicchio, Giuseppe and R\"ugamer, David and Lindauer, Marius and Scheipl, Fabian and Bischl, Bernd},
  booktitle = {Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop},
  title     = {Developing Open Source Educational Resources for Machine Learning and Data Science},
  year      = {2022},
  editor    = {Kinnaird, Katherine M. and Steinbach, Peter and Guhr, Oliver},
  month     = {9},
  pages     = {1--6},
  publisher = {PMLR},
  series    = {Proceedings of Machine Learning Research},
  volume    = {207},
  pdf       = {https://proceedings.mlr.press/v207/bothmann23a/bothmann23a.pdf},
  url       = {<br> <a  href="https://proceedings.mlr.press/v207/bothmann23a.html">link</a> | <a href="https://proceedings.mlr.press/v207/bothmann23a/bothmann23a.pdf">pdf</a>},
}

@Article{Herbinger2022,
  author  = {Herbinger, Julia and Bischl, Bernd and Casalicchio, Giuseppe},
  journal = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
  title   = {REPID: Regional Effect Plots with implicit Interaction Detection},
  year    = {2022},
  volume  = {25},
  tag     = {IML},
  url     = {<br><a href="https://arxiv.org/abs/2202.07254">link</a> | <a href="https://arxiv.org/pdf/2202.07254.pdf">pdf</a>},
}

@Article{Moosbauer2022,
  author  = {Moosbauer, Julia and Casalicchio, Giuseppe and Lindauer, Marius and Bischl, Bernd},
  journal = {arXiv:2111.14756 [cs.LG]},
  title   = {Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution},
  year    = {2022},
  tag     = {AutoML, IML},
  url     = {<br> <a href="https://arxiv.org/abs/2206.05447"> link </a> | <a href="https://arxiv.org/pdf/2206.05447.pdf"> pdf</a>},
}

@Article{Niessl2022,
  author    = {Nie{\ss}l, Christina and Herrmann, Moritz and Wiedemann, Chiara and Casalicchio, Giuseppe and Boulesteix, Anne-Laure},
  journal   = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
  title     = {Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results},
  year      = {2022},
  number    = {2},
  pages     = {e1441},
  volume    = {12},
  publisher = {Wiley Online Library},
  tag       = {EML},
  url       = {<br> <a href="https://doi.org/10.1002/widm.1441">link</a> | <a href = "https://arxiv.org/pdf/2106.02447">pdf</a>},
}

@Article{Scholbeck2022,
  author        = {Christian A. Scholbeck and Giuseppe Casalicchio and Christoph Molnar and Bernd Bischl and Christian Heumann},
  title         = {Marginal Effects for Non-Linear Prediction Functions},
  pages         = {1--46},
  year          = {2024},
  journal       = {Data Mining and Knowledge Discovery},
  publisher     = {Springer US},
  tag           = {IML},
  url           = {<br> <a href="https://arxiv.org/abs/2201.08837"> link </a> | <a href="https://arxiv.org/pdf/2201.08837"> pdf </a>},
}

@InBook{Molnar2022,
  author    = {Molnar, Christoph and K{\"o}nig, Gunnar and Herbinger, Julia and Freiesleben, Timo and Dandl, Susanne and Scholbeck, Christian A. and Casalicchio, Giuseppe and Grosse-Wentrup, Moritz and Bischl, Bernd},
  editor    = {Holzinger, Andreas and Goebel, Randy and Fong, Ruth and Moon, Taesup and M{\"u}ller, Klaus-Robert and Samek, Wojciech},
  pages     = {39--68},
  publisher = {Springer International Publishing},
  title     = {General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models},
  year      = {2022},
  address   = {Cham},
  isbn      = {978-3-031-04083-2},
  booktitle = {xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers},
  doi       = {10.1007/978-3-031-04083-2_4},
  tag       = {IML},
  url       = {<br> <a  href="https://link.springer.com/chapter/10.1007/978-3-031-04083-2_4">link</a> | <a href="https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_4.pdf">pdf</a>},
}

@InProceedings{Bischl2021,
  author    = {Bischl, Bernd and Casalicchio, Giuseppe and Feurer, Matthias and Gijsbers, Pieter and Hutter, Frank and Lang, Michel and Mantovani, Rafael G and van Rijn, Jan N and Vanschoren, Joaquin},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
  title     = {OpenML Benchmarking Suites},
  year      = {2021},
  editor    = {Joaquin Vanschoren and Serena Yeung},
  month     = aug,
  volume    = {1},
  tag       = {RSE, EML},
  url       = {<br><a href="https://openreview.net/forum?id=OCrD8ycKjG">link</a> | <a href="https://openreview.net/pdf?id=OCrD8ycKjG">pdf</a>},
}

@Article{Moosbauer2021,
  author  = {Moosbauer, Julia and Herbinger, Julia and Casalicchio, Giuseppe and Lindauer, Marius and Bischl, Bernd},
  journal = {Advances in Neural Information Processing Systems (NeurIPS 2021)},
  title   = {Explaining Hyperparameter Optimization via Partial Dependence Plots},
  year    = {2021},
  volume  = {34},
  tag     = {IML, AutoML, EML},
  url     = {<br> <a href="https://papers.nips.cc/paper/2021/hash/12ced2db6f0193dda91ba86224ea1cd8-Abstract.html">link</a> | <a href = "https://proceedings.neurips.cc/paper/2021/file/12ced2db6f0193dda91ba86224ea1cd8-Paper.pdf">pdf</a>},
}

@InProceedings{Moosbauer2021a,
  author    = {Moosbauer, Julia and Herbinger, Julia and Casalicchio, Giuseppe and Lindauer, Marius and Bischl, Bernd},
  booktitle = {8th ICML Workshop on Automated Machine Learning (AutoML)},
  title     = {Towards Explaining Hyperparameter Optimization via Partial Dependence Plots},
  year      = {2021},
  tag       = {IML, AutoML, EML},
  url       = {<br> <a href="https://openreview.net/forum?id=lZr9s1x0mE">link</a> | <a href = "https://openreview.net/pdf?id=lZr9s1x0mE">pdf</a>},
}

@Article{Koenig2021,
  author  = {K{\"o}nig, Gunnar and Freiesleben, Timo and Bischl, Bernd and Casalicchio, Giuseppe and Grosse-Wentrup, Moritz},
  journal = {arXiv preprint arXiv:2106.08086},
  title   = {Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT)},
  year    = {2021},
  tag     = {IML},
  url     = {<br><a href="https://arxiv.org/abs/2106.08086">link</a> | <a href="https://arxiv.org/pdf/2106.08086">pdf</a>},
}

@InProceedings{Molnar2020,
  author    = {Molnar, Christoph and Casalicchio, Giuseppe and Bischl, Bernd},
  booktitle = {Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019},
  title     = {Quantifying Model Complexity via Functional Decomposition for Better Post-hoc Interpretability},
  year      = {2020},
  address   = {Cham},
  editor    = {Cellier, Peggy and Driessens, Kurt},
  month     = mar,
  pages     = {193--204},
  publisher = {Springer International Publishing},
  isbn      = {978-3-030-43823-4},
  tag       = {IML},
  url       = {<a href="https://link.springer.com/chapter/10.1007/978-3-030-43823-4_17">link</a> | <a href="https://arxiv.org/pdf/1904.03867.pdf">pdf</a>},
}

@InProceedings{Molnar2020a,
  author    = {Molnar, Christoph and Casalicchio, Giuseppe and Bischl, Bernd},
  booktitle = {ECML PKDD 2020 Workshops},
  title     = {Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges},
  year      = {2020},
  address   = {Cham},
  editor    = {Koprinska, Irena and Kamp, Michael and Appice, Annalisa and Loglisci, Corrado and Antonie, Luiza and Zimmermann, Albrecht and Guidotti, Riccardo and {\"O}zg{\"o}bek, {\"O}zlem and Ribeiro, Rita P. and Gavald{\`a}, Ricard and Gama, Jo{\~a}o and Adilova, Linara and Krishnamurthy, Yamuna and Ferreira, Pedro M. and Malerba, Donato and Medeiros, Ib{\'e}ria and Ceci, Michelangelo and Manco, Giuseppe and Masciari, Elio and Ras, Zbigniew W. and Christen, Peter and Ntoutsi, Eirini and Schubert, Erich and Zimek, Arthur and Monreale, Anna and Biecek, Przemyslaw and Rinzivillo, Salvatore and Kille, Benjamin and Lommatzsch, Andreas and Gulla, Jon Atle},
  pages     = {417--431},
  publisher = {Springer International Publishing},
  tag       = {IML},
  url       = {<br> <a href="https://doi.org/10.1007/978-3-030-65965-3_28 ">link</a> | <a href="https://arxiv.org/pdf/2010.09337.pdf"> pdf </a>},
}

@InProceedings{Scholbeck2020,
  author    = {Scholbeck, Christian A. and Molnar, Christoph and Heumann, Christian and Bischl, Bernd and Casalicchio, Giuseppe},
  booktitle = {Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019},
  title     = {Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations},
  year      = {2020},
  address   = {Cham},
  editor    = {Cellier, Peggy and Driessens, Kurt},
  month     = mar,
  pages     = {205--216},
  publisher = {Springer International Publishing},
  date      = {2020-03-28},
  isbn      = {978-3-030-43823-4},
  tag       = {IML},
  url       = {<br> <a href="https://doi.org/10.1007/978-3-030-43823-4_18">link</a> | <a href="https://arxiv.org/pdf/1904.03959">pdf</a>},
}

@InProceedings{Molnar2020b,
  author    = {Molnar, Christoph and K{\"o}nig, Gunnar and Herbinger, Julia and Freiesleben, Timo and Dandl, Susanne and Scholbeck, Christian A and Casalicchio, Giuseppe and Grosse-Wentrup, Moritz and Bischl, Bernd},
  booktitle = {ICML Workshop XXAI: Extending Explainable AI Beyond Deep Models and Classifiers},
  title     = {Pitfalls to Avoid when Interpreting Machine Learning Models},
  year      = {2020},
  tag       = {IML},
  url       = {<br> <a href="http://interpretable-ml.org/icml2020workshop/">link</a> | <a href="https://arxiv.org/pdf/2007.04131v1"> pdf</a>},
}

@Article{Au2019,
  author  = {Quay Au and Daniel Schalk and Giuseppe Casalicchio and Ramona Schoedel and Clemens Stachl and Bernd Bischl},
  journal = {arXiv preprint arXiv:1904.03943},
  title   = {Component-Wise Boosting of Targets for Multi-Output Prediction},
  year    = {2019},
  month   = apr,
  date    = {2019-04-08},
  tag     = {Boosting},
  url     = {<br><a href="https://arxiv.org/abs/1904.03943"> link</a> | <a href="https://arxiv.org/pdf/1904.03943.pdf">pdf</a>},
}

@InProceedings{Casalicchio2019,
  author    = {Casalicchio, Giuseppe and Molnar, Christoph and Bischl, Bernd},
  booktitle = {Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2018},
  title     = {Visualizing the Feature Importance for Black Box Models},
  year      = {2019},
  address   = {Cham},
  editor    = {Berlingerio, Michele and Bonchi, Francesco and G{\"a}rtner, Thomas and Hurley, Neil and Ifrim, Georgiana},
  month     = jan,
  pages     = {655--670},
  publisher = {Springer International Publishing},
  date      = {2019-01-18},
  tag       = {IML},
  url       = {<br><a href="https://doi.org/10.1007/978-3-030-10925-7_40">link</a> | <a href="https://arxiv.org/pdf/1804.06620">pdf</a>},
}

@Article{Lang2019,
  author  = {Lang, Michel and Binder, Martin and Richter, Jakob and Schratz, Patrick and Pfisterer, Florian and Coors, Stefan and Au, Quay and Casalicchio, Giuseppe and Kotthoff, Lars and Bischl, Bernd},
  journal = {Journal of Open Source Software},
  title   = {{mlr3}: A modern object-oriented machine learning framework in {R}},
  year    = {2019},
  month   = dec,
  number  = {44},
  pages   = {1903},
  volume  = {4},
  tag     = {RSE, EML},
  url     = {<br><a href="https://doi.org/10.21105/joss.01903">link</a> | <a href="https://joss.theoj.org/papers/10.21105/joss.01903.pdf">pdf</a>},
}

@Article{Molnar2018,
  author  = {Molnar, Christoph and Casalicchio, Giuseppe and Bischl, Bernd},
  journal = {The Journal of Open Source Software},
  title   = {iml: An R package for Interpretable Machine Learning},
  year    = {2018},
  month   = jun,
  pages   = {786},
  volume  = {3},
  date    = {2018-06-27},
  tag     = {RSE, IML},
  url     = {<br><a href="https://doi.org/10.21105/joss.00786">link</a> | <a href="https://www.theoj.org/joss-papers/joss.00786/10.21105.joss.00786.pdf">pdf</a>},
}

@Article{Casalicchio2017,
  author  = {Casalicchio, Giuseppe and Lesaffre, Emmanuel and K{\"u}chenhoff, Helmut and Bruyneel, Luk},
  journal = {Journal of Nursing Scholarship},
  title   = {Nonlinear Analysis to Detect if Excellent Nursing Work Environments Have Highest Well-Being},
  year    = {2017},
  month   = jul,
  number  = {5},
  pages   = {537--547},
  volume  = {49},
  date    = {2017-07-12},
  tag     = {Consulting},
  url     = {<br><a href="http://doi.org/10.1111/jnu.12317">link</a> | <a href="https://www.researchgate.net/publication/318384817_Nonlinear_Analysis_to_Detect_if_Excellent_Nursing_Work_Environments_Have_Highest_Well-Being_Excellent_Environments_for_Highest_Well-Being">pdf</a>},
}

@Article{Probst2017,
  author  = {Philipp Probst and Quay Au and Giuseppe Casalicchio and Clemens Stachl and Bernd Bischl},
  journal = {{The R Journal}},
  title   = {{Multilabel Classification with R Package mlr}},
  year    = {2017},
  month   = may,
  number  = {1},
  pages   = {352--369},
  volume  = {9},
  tag     = {RSE, EML},
  url     = {<br><a href="https://doi.org/10.32614/RJ-2017-012">link</a> | <a href="https://journal.r-project.org/archive/2017/RJ-2017-012/RJ-2017-012.pdf">pdf</a>},
}

@Article{Casalicchio2017,
  author    = {Casalicchio, Giuseppe and Bossek, Jakob and Lang, Michel and Kirchhoff, Dominik and Kerschke, Pascal and Hofner, Benjamin and Seibold, Heidi and Vanschoren, Joaquin and Bischl, Bernd},
  journal   = {Computational Statistics},
  title     = {{OpenML}: An {R} package to connect to the machine learning platform {OpenML}},
  year      = {2017},
  month     = jun,
  pages     = {977--991},
  publisher = {Springer Berlin Heidelberg},
  tag       = {RSE, EML},
  url       = {<br><a href="http://doi.org/10.1007/s00180-017-0742-2">link</a> | <a href="https://arxiv.org/pdf/1701.01293.pdf">pdf</a>},
}

@Article{Bischl2016,
  author    = {Bischl, Bernd and Lang, Michel and Kotthoff, Lars and Schiffner, Julia and Richter, Jakob and Studerus, Erich and Casalicchio, Giuseppe and Jones, Zachary M},
  journal   = {The Journal of Machine Learning Research},
  title     = {mlr: Machine Learning in R},
  year      = {2016},
  month     = sep,
  number    = {170},
  pages     = {1--5},
  volume    = {17},
  date      = {2016-09-01},
  publisher = {JMLR. org},
  tag       = {RSE, EML},
  url       = {<br><a href="http://jmlr.org/papers/v17/15-066.html">link</a> | <a href="https://jmlr.org/papers/volume17/15-066/15-066.pdf">pdf</a>},
}

@Article{Casalicchio2015,
  author    = {Casalicchio, Giuseppe and Tutz, Gerhard and Schauberger, Gunther},
  journal   = {Statistical Modelling},
  title     = {Subject-specific Bradley--Terry--Luce models with implicit variable selection},
  year      = {2015},
  month     = feb,
  number    = {6},
  pages     = {526--547},
  volume    = {15},
  date      = {2015-02-11},
  publisher = {SAGE Publications Sage India: New Delhi, India},
  tag       = {Boosting},
  url       = {<br><a href="https://doi.org/10.1177/1471082X15571817">link</a> | <a href="https://www.researchgate.net/publication/276369769_Subject-specific_Bradley-Terry-Luce_models_with_implicit_variable_selection">pdf</a>},
}

@Article{Casalicchio2015a,
  author  = {Casalicchio, Giuseppe and Bischl, Bernd and Boulesteix, Anne-Laure and Schmid, Matthias},
  journal = {Biometrics},
  title   = {The residual-based predictiveness curve: A visual tool to assess the performance of prediction models},
  year    = {2015},
  month   = dec,
  number  = {2},
  pages   = {392--401},
  volume  = {72},
  date    = {2015-12-17},
  tag     = {IML, EML},
  url     = {<br><a href="https://doi.org/10.1111/biom.12455">link</a> | <a href="https://www.researchgate.net/publication/287211699_The_residual-based_predictiveness_curve_A_visual_tool_to_assess_the_performance_of_prediction_models">pdf</a>},
}

@InProceedings{Vanschoren2015,
  author    = {Vanschoren, J and van Rijn, JN and Bischl, B and Casalicchio, G and Feurer, M},
  booktitle = {2015 ICML Workshop on Machine Learning Open Source Software (MLOSS 2015)},
  title     = {{OpenML}: A Networked Science Platform for Machine Learning},
  year      = {2015},
  pages     = {1--3},
  tag       = {RSE, EML},
  url       = {<br><a href="https://www.semanticscholar.org/paper/OpenML-%3A-a-networked-science-platform-for-machine-Vanschoren-Rijn/36d8d504b0f1a179d9b7d8c53d0de5f3e1a900ed">link</a> | <a href="http://aad.informatik.uni-freiburg.de/papers/15-MLOSS-OpenML.pdf">pdf</a>},
}

@Article{Bergmann2013,
  author    = {Bergmann, Shana and Ziegler, Nina and Bartels, Thomas and H{\"u}bel, Jens and Schumacher, Christoph and Rauch, E and Brandl, S and Bender, Andreas and Casalicchio, Giuseppe and Krautwald-Junghanns, M-E and others},
  journal   = {Poultry science},
  title     = {Prevalence and severity of foot pad alterations in German turkey poults during the early rearing phase},
  year      = {2013},
  month     = may,
  number    = {5},
  pages     = {1171--1176},
  volume    = {92},
  date      = {2013-05-01},
  publisher = {Oxford University Press},
  tag       = {Consulting},
  url       = {<br><a href="https://doi.org/10.3382/ps.2012-02851">link</a> | <a href="https://www.researchgate.net/publication/236187831_Prevalence_and_severity_of_foot_pad_alterations_in_German_turkey_poults_during_the_early_rearing_phase">pdf</a>},
}

@Article{Ziegler2013,
  author    = {Ziegler, Nina and Bergmann, Shana and Huebei, Jens and Bartels, Thomas and Schumacher, Christoph and Bender, Andreas and Casalicchio, Giuseppe and Kuechenhoff, Helmut and Krautwald-Junghanns, Maria-Elisabeth and Erhard, Michael},
  journal   = {BERLINER UND MUNCHENER TIERARZTLICHE WOCHENSCHRIFT},
  title     = {Climate parameters and the influence on the foot pad health status of fattening turkeys BUT 6 during the early rearing phase},
  year      = {2013},
  number    = {5--6},
  pages     = {181--188},
  volume    = {126},
  publisher = {SCHLUETERSCHE VERLAGSGESELLSCHAFT MBH \& CO KG HANS-BOCKLER-ALLEE 7, 30173 HANNOVER, GERMANY},
  tag       = {Consulting},
  url       = {<br><a href="http://dx.doi.org/10.2376/0005-9366-126-181">link</a> | <a href="https://www.researchgate.net/publication/237198420_Climate_parameters_and_the_influence_on_the_foot_pad_health_status_of_fattening_turkeys_BUT_6_during_the_early_rearing_phase">pdf</a>},
}

@misc{schulzkümpel2024constructingconfidenceintervalsthe,
      title={Constructing Confidence Intervals for 'the' Generalization Error - a Comprehensive Benchmark Study}, 
      author={Hannah Schulz-Kümpel and Sebastian Fischer and Thomas Nagler and Anne-Laure Boulesteix and Bernd Bischl and Roman Hornung},
      year={2024},
      eprint={2409.18836},
      archivePrefix={arXiv},
      primaryClass={stat.ML},
      url={https://arxiv.org/abs/2409.18836}, 
}

@online{burk2024largescaleneutral,
  title       = {A {{Large-Scale Neutral Comparison Study}} of {{Survival Models}} on {{Low-Dimensional Data}}},
  author      = {Burk, Lukas and Zobolas, John and Bischl, Bernd and Bender, Andreas and Wright, Marvin N. and Sonabend, Raphael},
  date        = {2024-06-06},
  eprint      = {2406.04098},
  eprinttype  = {arxiv},
  eprintclass = {cs, stat},
  doi         = {10.48550/arXiv.2406.04098},
  pubstate    = {preprint},
  keywords    = {Computer Science - Machine Learning,Statistics - Machine Learning},
  url         = {<br><a href="http://arxiv.org/abs/2406.04098">link</a> | <a href = "https://arxiv.org/pdf/2406.04098.pdf">pdf</a>},
  tag         = {Survival}
}

@article{coyle-asbil2024energyexpenditure,
  title        = {Energy Expenditure Prediction in Preschool Children: A Machine Learning Approach Using Accelerometry and External Validation},
  shorttitle   = {Energy Expenditure Prediction in Preschool Children},
  author       = {Coyle-Asbil, Hannah J. and Burk, Lukas and Brandes, Mirko and Brandes, Berit and Buck, Christoph and Wright, Marvin N. and Vallis, Lori Ann},
  date         = {2024-09},
  journaltitle = {Physiological Measurement},
  shortjournal = {Physiol. Meas.},
  volume       = {45},
  number       = {9},
  pages        = {095015},
  publisher    = {IOP Publishing},
  issn         = {0967-3334},
  doi          = {10.1088/1361-6579/ad7ad2},
  langid       = {english}
}

@online{sonabend2022flexiblegroup,
  title       = {Flexible {{Group Fairness Metrics}} for {{Survival Analysis}}},
  author      = {Sonabend, Raphael and Pfisterer, Florian and Mishler, Alan and Schauer, Moritz and Burk, Lukas and Mukherjee, Sumantrak and Vollmer, Sebastian},
  date        = {2022-07-22},
  eprint      = {2206.03256},
  eprinttype  = {arXiv},
  eprintclass = {cs, stat},
  doi         = {10.48550/arXiv.2206.03256},
  pubstate    = {prepublished},
  keywords    = {Computer Science - Computers and Society,Computer Science - Machine Learning,Statistics - Applications,Statistics - Methodology}
}



@ARTICLE{10.3389/frai.2020.547531,
AUTHOR={Schmid, Hans-Jörg and Würschinger, Quirin and Fischer, Sebastian and Küchenhoff, Helmut},
TITLE={That’s Cool. Computational Sociolinguistic Methods for Investigating Individual Lexico-grammatical Variation},
JOURNAL={Frontiers in Artificial Intelligence},
VOLUME={3},
PAGES={89},
YEAR={2021},
URL={https://www.frontiersin.org/article/10.3389/frai.2020.547531},
DOI={10.3389/frai.2020.547531},
ISSN={2624-8212},
ABSTRACT={The present study deals with variation in the use of lexico-grammatical patterns and emphasizes the need to embrace individual variation. Targeting the pattern <sc>that’s adj</sc> (as in that’s right, that’s nice or that’s okay) as a case study, we use a tailor-made Python script to systematically retrieve grammatical and semantic information about all instances of this construction in BNC2014 as well as sociolinguistic information enabling us to study social and individual lexico-grammatical variation among speakers who have used this pattern. The dataset amounts to 4,394 tokens produced by 445 speakers using 159 adjective types in 931 conversations. Using detailed descriptive statistics and mixed-effects regression models, we show that while the choice of some adjectives is partly determined by social variables, situational and especially individual variation is rampant overall. Adopting a cognitive-linguistic perspective and relying on the notion of entrenchment, we interpret these findings as reflecting individual speakers' routines. We argue that computational sociolinguistics is in an ideal position to contribute to the data-driven investigation of individual lexico-grammatical variation and encourage computational sociolinguists to grab this opportunity. For the routines of individual speakers ultimately both underlie and compromise systematic social variation and trigger and steer well-known types of language change including grammaticalization, pragmaticalization and change by invited inference.}
}

@article{10.1371/journal.pone.0238371,
    doi = {10.1371/journal.pone.0238371},
    author = {Eschle, Simone AND Hartmann, Katrin AND Rieger, Anna AND Fischer, Sebastian AND Klima, André AND Bergmann, Michèle},
    journal = {PLOS ONE},
    publisher = {Public Library of Science},
    title = {Canine vaccination in Germany: A survey of owner attitudes and compliance},
    year = {2020},
    month = {08},
    volume = {15},
    url = {https://doi.org/10.1371/journal.pone.0238371},
    pages = {1-20},
    abstract = {Background Vaccination is the most important preventive measure for protection against infectious diseases in humans and companion animals. Nevertheless, scepticism about the safety and importance of vaccines is increasing in human and in veterinary medicine. Although owner attitudes towards vaccination have been investigated in cats, there are no similar studies in dogs. The goals of this study were therefore to investigate the vaccination status of dogs in Germany, to determine owner compliance with vaccination and to identify factors that play a role in owners’ decisions to have their dogs vaccinated.   Methods Data were collected from August 2018 to February 2019 using an online survey targeting dog owners in Germany. A total of 3,881 questionnaires were evaluated, and factors associated with the vaccination status of dogs were determined by a linear logistic regression model using Akaike information criterion. Cohen's kappa statistic was used to evaluate agreement between questionnaire and 340 vaccination passports submitted voluntarily by owners.   Results A total of 46.8% (n = 1,818/3,881) of dogs were vaccinated with core vaccines according to current guidelines with the lowest vaccination rate for leptospirosis (50.1%; n = 1,941/3,874). Dog’s age (16 weeks to 15 months) (odds ratio (OR): 3.08; 95% CI: 2.05–4.68), type (working dog) (OR: 2.06; 95% CI: 1.22–3.53) and travelling abroad within previous 36 months (OR: 1.82; 95% CI: 1.12–2.96) had the strongest ‘positive’ association with the vaccination status. Recommendation from a veterinarian not to vaccinate against leptospirosis had the strongest ‘negative’ association (OR: 0.08; 95% CI: 0.04–0.18).   Conclusion The study revealed a need for improvement in vaccination compliance because of inadequate vaccination coverage, especially for leptospirosis, in dogs. Factors influencing owner compliance were numerous. Vaccination recommendations made by the veterinarian had a strong association with the vaccination status and should be used to increase canine vaccination rates.},
    number = {8},
}

@article{fischer2026mlr3torch,
  title={mlr3torch: A Deep Learning Framework in R based on mlr3 and torch},
  author={Fischer, Sebastian and Burk, Lukas and Zhang, Carson and Bischl, Bernd and Binder, Martin},
  journal={arXiv preprint arXiv:2604.18152},
  year={2026}
}

@incollection{schulz2025challenges,
  title={Challenges in Resampling-Based Performance Estimation},
  author={Schulz-K{\"u}mpel, Hannah and Boulesteix, Anne-Laure and Fischer, Sebastian and Hornung, Roman},
  booktitle={Foundations and Advances of Machine Learning in Official Statistics},
  pages={49--70},
  year={2025},
  publisher={Springer}
}

@article{zobolas2026prognostic,
  title={Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data},
  author={Zobolas, John and George, Anne-Marie and L{\'o}pez, Alberto and Fischer, Sebastian and Becker, Marc and Aittokallio, Tero},
  journal={BioData Mining},
  year={2026},
  publisher={Springer}
}

@Comment{jabref-meta: databaseType:bibtex;}