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8 Publications
2022 | Journal Article | LibreCat-ID: 48780
Muschalik M, Fumagalli F, Hammer B, Huellermeier E. Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz. 2022;36(3-4):211-224. doi:10.1007/s13218-022-00766-6
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 48779
Artelt A, Visser R, Hammer B. “I do not know! but why?” — Local model-agnostic example-based explanations of reject. Neurocomputing. 2023;558. doi:10.1016/j.neucom.2023.126722
LibreCat
| DOI
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
LibreCat
| 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
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 50262
Fumagalli F, Muschalik M, Hüllermeier E, Hammer B. Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning. 2023;112(12):4863-4903. doi:10.1007/s10994-023-06385-y
LibreCat
| 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
LibreCat
| DOI
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
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