7 Publications
2024 | Journal Article | LibreCat-ID: 53073
Muschalik, Maximilian, et al. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 13, Association for the Advancement of Artificial Intelligence (AAAI), 2024, pp. 14388–96, doi:10.1609/aaai.v38i13.29352.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, et al. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, edited by Sanjoy Dasgupta et al., vol. 238, PMLR, 2024, pp. 3520–3528.
LibreCat
2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, Fabian, et al. “SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions.” NeurIPS 2023 - Advances in Neural Information Processing Systems, vol. 36, Curran Associates, Inc., 2023, pp. 11515--11551.
LibreCat
2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, Maximilian, et al. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.” 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 | Conference Paper | LibreCat-ID: 48775
Fumagalli, Fabian, et al. “On Feature Removal for Explainability in Dynamic Environments.” ESANN 2023 Proceedings, i6doc.com publ., 2023, doi:10.14428/esann/2023.es2023-148.
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 48778
Muschalik, Maximilian, et al. “IPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.” Communications in Computer and Information Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-44064-9_11.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 48780
Muschalik, Maximilian, et al. “Agnostic Explanation of Model Change Based on Feature Importance.” KI - Künstliche Intelligenz, vol. 36, no. 3–4, Springer Science and Business Media LLC, 2022, pp. 211–24, doi:10.1007/s13218-022-00766-6.
LibreCat
| DOI
7 Publications
2024 | Journal Article | LibreCat-ID: 53073
Muschalik, Maximilian, et al. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 13, Association for the Advancement of Artificial Intelligence (AAAI), 2024, pp. 14388–96, doi:10.1609/aaai.v38i13.29352.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, et al. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, edited by Sanjoy Dasgupta et al., vol. 238, PMLR, 2024, pp. 3520–3528.
LibreCat
2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, Fabian, et al. “SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions.” NeurIPS 2023 - Advances in Neural Information Processing Systems, vol. 36, Curran Associates, Inc., 2023, pp. 11515--11551.
LibreCat
2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, Maximilian, et al. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.” 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 | Conference Paper | LibreCat-ID: 48775
Fumagalli, Fabian, et al. “On Feature Removal for Explainability in Dynamic Environments.” ESANN 2023 Proceedings, i6doc.com publ., 2023, doi:10.14428/esann/2023.es2023-148.
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 48778
Muschalik, Maximilian, et al. “IPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.” Communications in Computer and Information Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-44064-9_11.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 48780
Muschalik, Maximilian, et al. “Agnostic Explanation of Model Change Based on Feature Importance.” KI - Künstliche Intelligenz, vol. 36, no. 3–4, Springer Science and Business Media LLC, 2022, pp. 211–24, doi:10.1007/s13218-022-00766-6.
LibreCat
| DOI