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448 Publications
2024 | Journal Article | LibreCat-ID: 53073
Muschalik M, Fumagalli F, Hammer B, Huellermeier E. Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence. 2024;38(13):14388-14396. doi:10.1609/aaai.v38i13.29352
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 54911
Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning. 2024;171. doi:10.1016/j.ijar.2024.109190
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 54910
Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning. 2024;171. doi:10.1016/j.ijar.2024.109190
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki P, Muschalik M, Fumagalli F, Hammer B, Huellermeier E. SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. In: Dasgupta S, Mandt S, Li Y, eds. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics. Vol 238. Proceedings of Machine Learning Research. PMLR; 2024:3520–3528.
LibreCat
2024 | Journal Article | LibreCat-ID: 54907
Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning. 2024;171. doi:10.1016/j.ijar.2024.109190
LibreCat
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2024 | Conference Paper | LibreCat-ID: 57645
Heid S, Kornowicz J, Hanselle JM, Hüllermeier E, Thommes K. Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems. In: PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE. Vol 21. ; 2024:233.
LibreCat
2024 | Conference Paper | LibreCat-ID: 55631
Javanmardi A, Aimiyekagbon OK, Bender A, Kimotho JK, Sextro W, Hüllermeier E. Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions. In: PHM Society European Conference. Vol 8. PHM Society; 2024. doi:10.36001/phme.2024.v8i1.4101
LibreCat
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2023 | Conference Paper | LibreCat-ID: 51373
Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable Machine Learning. In: 26th International Conference on Discovery Science . Vol 14050. Lecture Notes in Computer Science. Springer Nature Switzerland; 2023:189-203. doi:10.1007/978-3-031-45275-8_13
LibreCat
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2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B. SHAP-IQ: Unified Approximation of any-order Shapley Interactions. In: NeurIPS 2023 - Advances in Neural Information Processing Systems. Vol 36. Curran Associates, Inc.; 2023:11515--11551.
LibreCat
2023 | Book Chapter | LibreCat-ID: 54613
Hanselle JM, Hüllermeier E, Mohr F, et al. Configuration and Evaluation. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing – Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:85–104. doi:10.5281/zenodo.8068466
LibreCat
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2023 | Book Chapter | LibreCat-ID: 54909
Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable Machine Learning. In: Discovery Science. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-45275-8_13
LibreCat
| DOI
2023 | Preprint | LibreCat-ID: 44512 |

Uhlemeyer S, Lienen J, Hüllermeier E, Gottschalk H. Detecting Novelties with Empty Classes. arXiv:230500983. Published online 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |

Nguyen DA, Levie R, Lienen J, Kutyniok G, Hüllermeier E. 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 JM, Hüllermeier E, Mohr F, et al. Configuration and Evaluation. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:85-104. doi:10.5281/zenodo.8068466
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| DOI
2023 | Book Chapter | LibreCat-ID: 45886 |

Wehrheim H, Hüllermeier E, Becker S, Becker M, Richter C, Sharma A. Composition Analysis in Unknown Contexts. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:105-123. doi:10.5281/zenodo.8068510
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| DOI
2023 | Preprint | LibreCat-ID: 45911 |

Lienen J, Hüllermeier E. Mitigating Label Noise through Data Ambiguation. arXiv:230513764. Published online 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz M, Hüllermeier E, Lücke M, et al. Efficient time stepping for numerical integration using reinforcement learning. SIAM Journal on Scientific Computing. 2023;45(2):A579-A595. doi:10.1137/21M1412682
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| arXiv
2023 | Book Chapter | LibreCat-ID: 48776
Muschalik M, Fumagalli F, Hammer B, Huellermeier E. iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. In: Machine Learning and Knowledge Discovery in Databases: Research Track. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-43418-1_26
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| DOI
2023 | Conference Paper | LibreCat-ID: 48775
Fumagalli F, Muschalik M, Hüllermeier E, Hammer B. On Feature Removal for Explainability in Dynamic Environments. In: ESANN 2023 Proceedings. i6doc.com publ.; 2023. doi:10.14428/esann/2023.es2023-148
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| DOI
2023 | Book Chapter | LibreCat-ID: 48778
Muschalik M, Fumagalli F, Jagtani R, Hammer B, Huellermeier E. iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. In: Communications in Computer and Information Science. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-44064-9_11
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