| Shap-iq: Unified approximation of any-order shapley interactions F Fumagalli, M Muschalik, P Kolpaczki, E Hüllermeier, B Hammer Advances in Neural Information Processing Systems 36, 2024 | 17 | 2024 |
| Incremental permutation feature importance (iPFI): towards online explanations on data streams F Fumagalli*, M Muschalik*, E Hüllermeier, B Hammer Machine Learning 112 (12), 4863-4903, 2023 | 16 | 2023 |
| Agnostic Explanation of Model Change based on Feature Importance M Muschalik*, F Fumagalli*, B Hammer, E Hüllermeier KI-Künstliche Intelligenz 36 (3-4), 211-224, 2022 | 13 | 2022 |
| Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles M Muschalik, F Fumagalli, B Hammer, E Hüllermeier Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14388 …, 2024 | 8 | 2024 |
| isage: An incremental version of SAGE for online explanation on data streams M Muschalik, F Fumagalli, B Hammer, E Hüllermeier Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 8 | 2023 |
| iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios M Muschalik*, F Fumagalli*, R Jagtani, B Hammer, E Hüllermeier World Conference on Explainable Artificial Intelligence, 177–194, 2023 | 4 | 2023 |
| KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions F Fumagalli, M Muschalik, P Kolpaczki, E Hüllermeier, B Hammer arXiv preprint arXiv:2405.10852, 2024 | 3 | 2024 |
| SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification P Kolpaczki, M Muschalik, F Fumagalli, B Hammer, E Hüllermeier arXiv preprint arXiv:2401.13371, 2024 | 2 | 2024 |
| On Feature Removal for Explainability in Dynamic Environments F Fumagalli*, M Muschalik*, E Hüllermeier, B Hammer ESANN 2023 proceedings, 2023 | 1 | 2023 |
| shapiq: Shapley Interactions for Machine Learning M Muschalik, H Baniecki, F Fumagalli, P Kolpaczki, B Hammer, ... arXiv preprint arXiv:2410.01649, 2024 | | 2024 |
| No learning rates needed: Introducing SALSA-Stable Armijo Line Search Adaptation P Kenneweg, T Kenneweg, F Fumagalli, B Hammer 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Explaining Change in Models and Data with Global Feature Importance and Effects M Muschalik, F Fumagalli, B Hammer, E Hüllermeier | | 2024 |
| On Explaining Model Change Based on Feature Importance M Muschalik, F Fumagalli, B Hammer, E Hüllermeier Book of Abstracts, 198, 0 | | |
Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
