Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
16 Publications
2025 | Conference Paper | LibreCat-ID: 61229
Muschalik, M., Fumagalli, F., Frazzetto, P., Strotherm, J., Hermes, L., Sperduti, A., Hüllermeier, E., & Hammer, B. (2025). Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. The Thirteenth International Conference on Learning Representations (ICLR).
LibreCat
2025 | Conference Paper | LibreCat-ID: 61232
Visser, R., Fumagalli, F., Hüllermeier, E., & Hammer, B. (2025). Explaining Outliers using Isolation Forest and Shapley Interactions. Proceedings of the European Symposium on Artificial Neural Networks (ESANN).
LibreCat
2025 | Conference Paper | LibreCat-ID: 61231
Fumagalli, F., Muschalik, M., Hüllermeier, E., Hammer, B., & Herbinger, J. (2025). Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 258, 5140–5148.
LibreCat
2025 | Conference Paper | LibreCat-ID: 59856 | 
Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier, E., & Wachsmuth, H. (2025). Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp. 2421–2449). Association for Computational Linguistics.
LibreCat
| Files available
| Download (ext.)
2024 | Conference Paper | LibreCat-ID: 58224
Kenneweg, P., Kenneweg, T., Fumagalli, F., & Hammer, B. (2024). No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. 2024 International Joint Conference on Neural Networks (IJCNN), 1–8. https://doi.org/10.1109/IJCNN60899.2024.10650124
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 53073
Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2024). Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(13), 14388–14396. https://doi.org/10.1609/aaai.v38i13.29352
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, P., Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2024). SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238, 3520–3528.
LibreCat
2024 | Conference Paper | LibreCat-ID: 58223
Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer, B. (2024). KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. Proceedings of the 41st International Conference on Machine Learning (ICML), 235, 14308–14342.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61228
Muschalik, M., Baniecki, H., Fumagalli, F., Kolpaczki, P., Hammer, B., & Huellermeier, E. (2024). shapiq: Shapley interactions for machine learning. Advances in Neural Information Processing Systems (NeurIPS), 37, 130324–130357.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61230
Kolpaczki, P., Bengs, V., Muschalik, M., & Hüllermeier, E. (2024). Approximating the shapley value without marginal contributions. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(12), 13246–13255.
LibreCat
2023 | Journal Article | LibreCat-ID: 50262
Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning, 112(12), 4863–4903. https://doi.org/10.1007/s10994-023-06385-y
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48778
Muschalik, M., Fumagalli, F., Jagtani, R., Hammer, B., & Huellermeier, E. (2023). iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. Proceedings of the World Conference on Explainable Artificial Intelligence (XAI). https://doi.org/10.1007/978-3-031-44064-9_11
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2023). iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. In Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference (ECML PKDD). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43418-1_26
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48775
Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). On Feature Removal for Explainability in Dynamic Environments. Proceedings of the European Symposium on Artificial Neural Networks (ESANN). ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges (Belgium) and online. https://doi.org/10.14428/ESANN/2023.ES2023-148
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer, B. (2023). SHAP-IQ: Unified Approximation of any-order Shapley Interactions. Advances in Neural Information Processing Systems (NeurIPS), 36, 11515--11551.
LibreCat
2022 | Journal Article | LibreCat-ID: 48780
Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2022). Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz, 36(3–4), 211–224. https://doi.org/10.1007/s13218-022-00766-6
LibreCat
| DOI