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Anzahl der Publikationen: 11
Zeitschriftenartikel
Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108 und Słowiński, Roman ORCID: https://orcid.org/0000-0002-5200-7795
(2024):
Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies–part I.
In: 4OR, Bd. 22, Nr. 2: S. 179-209
[PDF, 710kB]
ORCID: https://orcid.org/0000-0002-9944-4108 und Słowiński, Roman ORCID: https://orcid.org/0000-0002-5200-7795
(2024):
Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies–part I.
In: 4OR, Bd. 22, Nr. 2: S. 179-209
[PDF, 710kB]
Konferenzbeitrag
Heid, Stefan; Kornowicz, Jaroslaw; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Thommes, Kirsten ORCID: https://orcid.org/0000-0002-8057-7162
(November 2024):
Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems.
34. Workshop Computational Intelligence, Berlin, Germany, 21.-22. November 2024.
Schulte, Horst; Hoffmann, Frank und Mikut, Ralf (Hrsg.):
KIT Scientific Publishing. S. 233-252
[PDF, 448kB]
ORCID: https://orcid.org/0000-0002-9944-4108 und Thommes, Kirsten ORCID: https://orcid.org/0000-0002-8057-7162
(November 2024):
Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems.
34. Workshop Computational Intelligence, Berlin, Germany, 21.-22. November 2024.
Schulte, Horst; Hoffmann, Frank und Mikut, Ralf (Hrsg.):
KIT Scientific Publishing. S. 233-252
[PDF, 448kB]
Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2024):
Explaining Change in Models and Data with Global Feature Importance and Effects.
TempXAI: Explainable AI for Time Series and Data Streams Tutorial-Workshop, Vilnius, Lithuania, 9. - 13. September 2024.
[PDF, 243kB]
ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2024):
Explaining Change in Models and Data with Global Feature Importance and Effects.
TempXAI: Explainable AI for Time Series and Data Streams Tutorial-Workshop, Vilnius, Lithuania, 9. - 13. September 2024.
[PDF, 243kB]
Fumagalli, Fabian; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick; HÜllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591
(Juli 2024):
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 14308-14342
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick; HÜllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591
(Juli 2024):
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 14308-14342
[PDF, 1MB]
Kolpaczki, Patrick; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Mai 2024):
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2. - 4. May 2024.
In: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research
Bd. 238
PMLR. S. 3520-3528
[PDF, 8MB]
ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Mai 2024):
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2. - 4. May 2024.
In: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research
Bd. 238
PMLR. S. 3520-3528
[PDF, 8MB]
Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2024):
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
AAAI Conference on Artificial Intelligence 2024, Vancouver, Canada, 20-27 February 2024.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 38, Nr. 13
S. 14388-14396
[PDF, 3MB]
ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2024):
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
AAAI Conference on Artificial Intelligence 2024, Vancouver, Canada, 20-27 February 2024.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 38, Nr. 13
S. 14388-14396
[PDF, 3MB]
Kolpaczki, Patrick; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2024):
Approximating the Shapley Value without Marginal Contributions.
AAAI Conference on Artificial Intelligence 2024, Vancouver, Canada, 20-27 February 2024.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 38, Nr. 12
S. 13246-13255
[PDF, 2MB]
ORCID: https://orcid.org/0000-0001-6988-6186; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2024):
Approximating the Shapley Value without Marginal Contributions.
AAAI Conference on Artificial Intelligence 2024, Vancouver, Canada, 20-27 February 2024.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 38, Nr. 12
S. 13246-13255
[PDF, 2MB]
Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591
(Dezember 2023):
SHAP-IQ: Unified Approximation of any-order Shapley Interactions.
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA, 10. - 16. December 2023.
In: Proceedings of the 37th Annual Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems
Bd. 36
Curran Associates, Inc.. S. 11515-11551
[PDF, 1MB]
ORCID: https://orcid.org/0000-0003-3955-3510; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591
(Dezember 2023):
SHAP-IQ: Unified Approximation of any-order Shapley Interactions.
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA, 10. - 16. December 2023.
In: Proceedings of the 37th Annual Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems
Bd. 36
Curran Associates, Inc.. S. 11515-11551
[PDF, 1MB]
Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591
(4. Oktober 2023):
On Feature Removal for Explainability in Dynamic Environments.
ESANN 2023 - European Symposium on Artificial Neural Networks, Bruges, Belgium, 4-6 October 2023.
In: Proceedings of ESANN 2023,
S. 83-88
[PDF, 1MB]
ORCID: https://orcid.org/0000-0003-3955-3510; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591
(4. Oktober 2023):
On Feature Removal for Explainability in Dynamic Environments.
ESANN 2023 - European Symposium on Artificial Neural Networks, Bruges, Belgium, 4-6 October 2023.
In: Proceedings of ESANN 2023,
S. 83-88
[PDF, 1MB]
Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(18. September 2023):
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Torino, Italy, 18-22 September, 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track,
Bd. 14171
Cham: Springer. S. 428-445
[PDF, 3MB]
ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(18. September 2023):
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Torino, Italy, 18-22 September, 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track,
Bd. 14171
Cham: Springer. S. 428-445
[PDF, 3MB]
Hanselle, Jonas; Fürnkranz, Johannes und Hüllermeier, Eyke
(2023):
Probabilistic Scoring Lists for Interpretable Machine Learning.
26th International Conference on Discovery Science (DS 2023), Porto, Portugal, October 9-11, 2023.
In: Discovery Science,
Bd. 14276
Cham: Springer. S. 189-203
[PDF, 1MB]