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443 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.
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| DOI
2024 | Journal Article | LibreCat-ID: 54911
Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning, vol. 171, 109190, Elsevier BV, 2024, doi:10.1016/j.ijar.2024.109190.
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| DOI
2024 | Journal Article | LibreCat-ID: 54910
Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning, vol. 171, 109190, Elsevier BV, 2024, doi:10.1016/j.ijar.2024.109190.
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| DOI
2023 | Preprint | LibreCat-ID: 44512 | 
Uhlemeyer, Svenja, et al. “Detecting Novelties with Empty Classes.” ArXiv:2305.00983, 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |
Nguyen, Duc Anh, et al. “Memorization-Dilation: Modeling Neural Collapse Under Noise.” International Conference on Learning Representations, ICLR, 2023.
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2023 | Book Chapter | LibreCat-ID: 45884 |
Hanselle, Jonas Manuel, et al. “Configuration and Evaluation.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104, doi:10.5281/zenodo.8068466.
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| DOI
2023 | Book Chapter | LibreCat-ID: 45886 |
Wehrheim, Heike, et al. “Composition Analysis in Unknown Contexts.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 105–23, doi:10.5281/zenodo.8068510.
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| DOI
2023 | Preprint | LibreCat-ID: 45911 |
Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data Ambiguation.” ArXiv:2305.13764, 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz, Michael, et al. “Efficient Time Stepping for Numerical Integration Using Reinforcement Learning.” SIAM Journal on Scientific Computing, vol. 45, no. 2, 2023, pp. A579–95, doi:10.1137/21M1412682.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable Machine Learning.” 26th International Conference on Discovery Science , vol. 14050, Springer Nature Switzerland, 2023, pp. 189–203, doi:10.1007/978-3-031-45275-8_13.
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| DOI
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.
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| 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.
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| 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 | 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: 54613
Hanselle, Jonas Manuel, et al. “Configuration and Evaluation.” On-The-Fly Computing – Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104, doi:10.5281/zenodo.8068466.
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 54909
Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable Machine Learning.” Discovery Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-45275-8_13.
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2022 | Conference Paper | LibreCat-ID: 32311
Sharma, Arnab, et al. “Property-Driven Testing of Black-Box Functions.” Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), IEEE, 2022, pp. 113–23.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34542
Campagner, Andrea, et al. “Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.” Lecture Notes in Computer Science, vol. 13633, Springer, 2022, pp. 57–70.
LibreCat
2022 | Preprint | LibreCat-ID: 31546 |
Lienen, Julian, et al. “Conformal Credal Self-Supervised Learning.” ArXiv:2205.15239, 2022.
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