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.
439 Publications
2024 | Journal Article | 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, 38(13), 14388–14396. https://doi.org/10.1609/aaai.v38i13.29352
LibreCat
| DOI
2023 | Preprint | LibreCat-ID: 44512 | 
Uhlemeyer, S., Lienen, J., Hüllermeier, E., & Gottschalk, H. (2023). Detecting Novelties with Empty Classes. In arXiv:2305.00983.
LibreCat
| Download (ext.)
| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |
Nguyen, D. A., Levie, R., Lienen, J., Kutyniok, G., & Hüllermeier, E. (2023). Memorization-Dilation: Modeling Neural Collapse Under Noise. International Conference on Learning Representations, ICLR. International Conference on Learning Representations, ICLR, Kigali, Ruanda.
LibreCat
| Download (ext.)
2023 | Book Chapter | LibreCat-ID: 45884 |
Hanselle, J. M., Hüllermeier, E., Mohr, F., Ngonga Ngomo, A.-C., Sherif, M., Tornede, A., & Wever, M. D. (2023). Configuration and Evaluation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 85–104). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068466
LibreCat
| Files available
| DOI
2023 | Book Chapter | LibreCat-ID: 45886 |
Wehrheim, H., Hüllermeier, E., Becker, S., Becker, M., Richter, C., & Sharma, A. (2023). Composition Analysis in Unknown Contexts. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 105–123). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068510
LibreCat
| Files available
| DOI
2023 | Preprint | LibreCat-ID: 45911 |
Lienen, J., & Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.
LibreCat
| Download (ext.)
| arXiv
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz, M., Hüllermeier, E., Lücke, M., Ober-Blöbaum, S., Offen, C., Peitz, S., & Pfannschmidt, K. (2023). Efficient time stepping for numerical integration using reinforcement learning. SIAM Journal on Scientific Computing, 45(2), A579–A595. https://doi.org/10.1137/21M1412682
LibreCat
| Files available
| DOI
| Download (ext.)
| arXiv
2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. 26th International Conference on Discovery Science , 14050, 189–203. https://doi.org/10.1007/978-3-031-45275-8_13
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. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43418-1_26
LibreCat
| DOI
2023 | Book Chapter | LibreCat-ID: 48778
Muschalik, M., Fumagalli, F., Jagtani, R., Hammer, B., & Huellermeier, E. (2023). iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. In Communications in Computer and Information Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44064-9_11
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. ESANN 2023 Proceedings. 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. NeurIPS 2023 - Advances in Neural Information Processing Systems, 36, 11515--11551.
LibreCat
2022 | Conference Paper | LibreCat-ID: 32311
Sharma, A., Melnikov, V., Hüllermeier, E., & Wehrheim, H. (2022). Property-Driven Testing of Black-Box Functions. Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), 113–123.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34542
Campagner, A., Lienen, J., Hüllermeier, E., & Ciucci, D. (2022). Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. Lecture Notes in Computer Science, 13633, 57–70.
LibreCat
2022 | Preprint | LibreCat-ID: 31546 |
Lienen, J., Demir, C., & Hüllermeier, E. (2022). Conformal Credal Self-Supervised Learning. In arXiv:2205.15239.
LibreCat
| Download (ext.)
2022 | Journal Article | LibreCat-ID: 33090
Gevers, K., Tornede, A., Wever, M. D., Schöppner, V., & Hüllermeier, E. (2022). A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. Welding in the World. https://doi.org/10.1007/s40194-022-01339-9
LibreCat
| DOI
2022 | Report | LibreCat-ID: 36227
Hammer, B., Hüllermeier, E., Lohweg, V., Schneider, A., Schenck, W., Kuhl, U., Braun, M., Pfeifer, A., Holst, C.-A., Schmidt, M., Schomaker, G., & Tornede, T. (2022). Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens. https://doi.org/10.4119/unibi/2965622
LibreCat
| DOI