Open Access LMU

Auf "Open Access LMU" finden Sie 106500 verzeichnete Publikationen aus der LMU, davon bieten 37831 Veröffentlichungen einen Zugang zum Volltext im Sinne von Open Access. Weitere Informationen über Open Access LMU erhalten Sie hier.

Die neuesten 5 Veröffentlichungen:

• 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
• 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
• Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 (Februar 2024): Mitigating Label Noise through Data Ambiguation. 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. 13799-13807
• 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
• 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