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10 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
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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 | Conference Paper | LibreCat-ID: 58223
Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” In Proceedings of the 41st International Conference on Machine Learning, edited by Ruslan Salakhutdinov, Zico Kolter, Katherine Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, and Felix Berkenkamp, 235:14308–14342. Proceedings of Machine Learning Research. PMLR, 2024.
LibreCat
2023 | Journal Article | LibreCat-ID: 48779
Artelt, André, Roel Visser, and Barbara Hammer. “‘I Do Not Know! But Why?’ — Local Model-Agnostic Example-Based Explanations of Reject.” Neurocomputing 558 (2023). https://doi.org/10.1016/j.neucom.2023.126722.
LibreCat
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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 | Journal Article | LibreCat-ID: 50262
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning 112, no. 12 (2023): 4863–4903. https://doi.org/10.1007/s10994-023-06385-y.
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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.
LibreCat
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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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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.
LibreCat
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2022 | Journal Article | LibreCat-ID: 48780
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “Agnostic Explanation of Model Change Based on Feature Importance.” KI - Künstliche Intelligenz 36, no. 3–4 (2022): 211–24. https://doi.org/10.1007/s13218-022-00766-6.
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