Prof. Dr. Eyke Hüllermeier
- E-Mail:
- eyke@ifi.lmu.de
- Telefon:
- +49 (0)89 2180-73440
- Web:
- Homepage (Extern)
- E-Mail:
- eyke@uni-paderborn.de
- Telefon:
- +49 5251 60-1771
- Web:
- Homepage
- Büroanschrift:
-
Pohlweg 51
33098 Paderborn - Raum:
- O4.258
- Sprechstunden:
Mittwoch, 11-12 Uhr
Publikationen
Aktuelle Publikationen
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, Proceedings of the AAAI Conference on Artificial Intelligence 38 (2024) 14388–14396.
Learning decision catalogues for situated decision making: The case of scoring systems
S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).
Learning decision catalogues for situated decision making: The case of scoring systems
S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification
P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: S. Dasgupta, S. Mandt, Y. Li (Eds.), Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR, 2024, pp. 3520–3528.
Learning decision catalogues for situated decision making: The case of scoring systems
S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).
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