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448 Publications
2024 | Journal Article | LibreCat-ID: 53073
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 13 (2024): 14388–96. https://doi.org/10.1609/aaai.v38i13.29352.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 54911
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 54910
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, edited by Sanjoy Dasgupta, Stephan Mandt, and Yingzhen Li, 238:3520–3528. Proceedings of Machine Learning Research. PMLR, 2024.
LibreCat
2024 | Journal Article | LibreCat-ID: 54907
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 57645
Heid, Stefan, Jaroslaw Kornowicz, Jonas Manuel Hanselle, Eyke Hüllermeier, and Kirsten Thommes. “Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems.” In PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 21:233, 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 55631
Javanmardi, Alireza, Osarenren Kennedy Aimiyekagbon, Amelie Bender, James Kuria Kimotho, Walter Sextro, and Eyke Hüllermeier. “Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions.” In PHM Society European Conference, Vol. 8. PHM Society, 2024. https://doi.org/10.36001/phme.2024.v8i1.4101.
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2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In 26th International Conference on Discovery Science , 14050:189–203. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.
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2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer. “SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions.” In NeurIPS 2023 - Advances in Neural Information Processing Systems, 36:11515--11551. Curran Associates, Inc., 2023.
LibreCat
2023 | Book Chapter | LibreCat-ID: 54613
Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration and Evaluation.” In On-The-Fly Computing – Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068466.
LibreCat
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2023 | Book Chapter | LibreCat-ID: 54909
Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In Discovery Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.
LibreCat
| DOI
2023 | Preprint | LibreCat-ID: 44512 | 
Uhlemeyer, Svenja, Julian Lienen, Eyke Hüllermeier, and Hanno Gottschalk. “Detecting Novelties with Empty Classes.” ArXiv:2305.00983, 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |
Nguyen, Duc Anh, Ron Levie, Julian Lienen, Gitta Kutyniok, and Eyke Hüllermeier. “Memorization-Dilation: Modeling Neural Collapse Under Noise.” In International Conference on Learning Representations, ICLR, 2023.
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2023 | Book Chapter | LibreCat-ID: 45884 |
Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration and Evaluation.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068466.
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2023 | Book Chapter | LibreCat-ID: 45886 |
Wehrheim, Heike, Eyke Hüllermeier, Steffen Becker, Matthias Becker, Cedric Richter, and Arnab Sharma. “Composition Analysis in Unknown Contexts.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:105–23. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068510.
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2023 | Preprint | LibreCat-ID: 45911 |
Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data Ambiguation.” ArXiv:2305.13764, 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz, Michael, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, and Karlson Pfannschmidt. “Efficient Time Stepping for Numerical Integration Using Reinforcement Learning.” SIAM Journal on Scientific Computing 45, no. 2 (2023): A579–95. https://doi.org/10.1137/21M1412682.
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| arXiv
2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.” In Machine Learning and Knowledge Discovery in Databases: Research Track. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43418-1_26.
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2023 | Conference Paper | LibreCat-ID: 48775
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “On Feature Removal for Explainability in Dynamic Environments.” In ESANN 2023 Proceedings. i6doc.com publ., 2023. https://doi.org/10.14428/esann/2023.es2023-148.
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| DOI
2023 | Book Chapter | LibreCat-ID: 48778
Muschalik, Maximilian, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, and Eyke Huellermeier. “IPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.” In Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-44064-9_11.
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