10 Publications
2025 | Conference Paper | LibreCat-ID: 61190
M. Sengupta et al., “Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions,” presented at the Empirical Methods in Natural Language Processing (EMNLP 2025), 2025.
LibreCat
| Files available
2025 | Conference Paper | LibreCat-ID: 59856 | 
M. Spliethöver et al., “Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection,” in 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), 2025, pp. 2421–2449.
LibreCat
| Files available
| Download (ext.)
2024 | Conference Paper | LibreCat-ID: 53073
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, vol. 38, no. 13, pp. 14388–14396, doi: 10.1609/aaai.v38i13.29352.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55311
P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification,” in Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024, vol. 238, pp. 3520–3528.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61228
M. Muschalik, H. Baniecki, F. Fumagalli, P. Kolpaczki, B. Hammer, and E. Huellermeier, “shapiq: Shapley interactions for machine learning,” in Advances in Neural Information Processing Systems (NeurIPS), 2024, vol. 37, pp. 130324–130357.
LibreCat
2023 | Conference Paper | LibreCat-ID: 48778
M. Muschalik, F. Fumagalli, R. Jagtani, B. Hammer, and E. Huellermeier, “iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios,” 2023, doi: 10.1007/978-3-031-44064-9_11.
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 48776
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “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, 2023.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48775
F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “On Feature Removal for Explainability in Dynamic Environments,” presented at the ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges (Belgium) and online, 2023, doi: 10.14428/ESANN/2023.ES2023-148.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 52230
F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer, “SHAP-IQ: Unified Approximation of any-order Shapley Interactions,” in Advances in Neural Information Processing Systems (NeurIPS), 2023, vol. 36, pp. 11515--11551.
LibreCat
2022 | Journal Article | LibreCat-ID: 48780
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Agnostic Explanation of Model Change based on Feature Importance,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 211–224, 2022, doi: 10.1007/s13218-022-00766-6.
LibreCat
| DOI
10 Publications
2025 | Conference Paper | LibreCat-ID: 61190
M. Sengupta et al., “Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions,” presented at the Empirical Methods in Natural Language Processing (EMNLP 2025), 2025.
LibreCat
| Files available
2025 | Conference Paper | LibreCat-ID: 59856 |
M. Spliethöver et al., “Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection,” in 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), 2025, pp. 2421–2449.
LibreCat
| Files available
| Download (ext.)
2024 | Conference Paper | LibreCat-ID: 53073
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, vol. 38, no. 13, pp. 14388–14396, doi: 10.1609/aaai.v38i13.29352.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55311
P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification,” in Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024, vol. 238, pp. 3520–3528.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61228
M. Muschalik, H. Baniecki, F. Fumagalli, P. Kolpaczki, B. Hammer, and E. Huellermeier, “shapiq: Shapley interactions for machine learning,” in Advances in Neural Information Processing Systems (NeurIPS), 2024, vol. 37, pp. 130324–130357.
LibreCat
2023 | Conference Paper | LibreCat-ID: 48778
M. Muschalik, F. Fumagalli, R. Jagtani, B. Hammer, and E. Huellermeier, “iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios,” 2023, doi: 10.1007/978-3-031-44064-9_11.
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 48776
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “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, 2023.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48775
F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “On Feature Removal for Explainability in Dynamic Environments,” presented at the ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges (Belgium) and online, 2023, doi: 10.14428/ESANN/2023.ES2023-148.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 52230
F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer, “SHAP-IQ: Unified Approximation of any-order Shapley Interactions,” in Advances in Neural Information Processing Systems (NeurIPS), 2023, vol. 36, pp. 11515--11551.
LibreCat
2022 | Journal Article | LibreCat-ID: 48780
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Agnostic Explanation of Model Change based on Feature Importance,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 211–224, 2022, doi: 10.1007/s13218-022-00766-6.
LibreCat
| DOI