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452 Publications
2025 | Conference Paper | LibreCat-ID: 61234 | 
Fichtel, L., Spliethöver, M., Hüllermeier, E., Jimenez, P., Klowait, N., Kopp, S., Ngonga Ngomo, A.-C., Robrecht, A., Scharlau, I., Terfloth, L., Vollmer, A.-L., & Wachsmuth, H. (n.d.). Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues. Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Annual Meeting of the Special Interest Group on Discourse and Dialogue.
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| arXiv
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.
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2025 | Book Chapter | LibreCat-ID: 61820
Heid, S., Kornowicz, J., Hanselle, J., Thommes, K., & Hüllermeier, E. (2025). MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making. In Communications in Computer and Information Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-08327-2_6
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2024 | Journal Article | LibreCat-ID: 54911
Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190
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| DOI
2024 | Journal Article | LibreCat-ID: 54910
Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190
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| DOI
2024 | Journal Article | LibreCat-ID: 54907
Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190
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2024 | Conference Paper | LibreCat-ID: 57645
Heid, S., Kornowicz, J., Hanselle, J. M., Hüllermeier, E., & Thommes, K. (2024). Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems. PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 21, 233.
LibreCat
2024 | Conference Paper | LibreCat-ID: 55631
Javanmardi, A., Aimiyekagbon, O. K., Bender, A., Kimotho, J. K., Sextro, W., & Hüllermeier, E. (2024). Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions. PHM Society European Conference, 8(1), Article 9. https://doi.org/10.36001/phme.2024.v8i1.4101
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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
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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: 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
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
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| DOI
2023 | Book Chapter | LibreCat-ID: 54613
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
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| DOI
2023 | Book Chapter | LibreCat-ID: 54909
Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. In Discovery Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45275-8_13
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.
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| 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.
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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
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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
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2023 | Preprint | LibreCat-ID: 45911 |
Lienen, J., & Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.
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| 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
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| arXiv