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Springe zu: Konferenzbeitrag
Anzahl der Publikationen: 3
Konferenzbeitrag
Kolpaczki, Patrick; Haselbeck, Georg und Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2024):
How Much Can Stratification Improve the Approximation of Shapley Values?
Explainable Artificial Intelligence, Valletta, Malta, 17. –19. July 2024.
Longo, Luca; Lapuschkin, Sebastian und Seifert, Christin (Hrsg.):
In: Communications in Computer and Information Science,
Bd. 2154
Springer, Cham. S. 489-512
ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2024):
How Much Can Stratification Improve the Approximation of Shapley Values?
Explainable Artificial Intelligence, Valletta, Malta, 17. –19. July 2024.
Longo, Luca; Lapuschkin, Sebastian und Seifert, Christin (Hrsg.):
In: Communications in Computer and Information Science,
Bd. 2154
Springer, Cham. S. 489-512
Belaid, Mohamed Karim; Bornemann, Richard; Rabus, Maximilian; Krestel, Ralf und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2023):
Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark.
World Conference on Explainable Artificial Intelligence (xAI 2023), Lisboa, Portugal, 26-28 July 2023.
Longo, Luca (Hrsg.):
Cham: Springer Nature Switzerland. S. 88-109
[PDF, 507kB]
ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2023):
Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark.
World Conference on Explainable Artificial Intelligence (xAI 2023), Lisboa, Portugal, 26-28 July 2023.
Longo, Luca (Hrsg.):
Cham: Springer Nature Switzerland. S. 88-109
[PDF, 507kB]
Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Jagtani, Rohit; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2023):
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.
World Conference on Explainable Artificial Intelligence (xAI 2023), Lisboa, Portugal, 26-28 July 2023.
Longo, Luca (Hrsg.):
Cham: Springer Nature Switzerland. S. 177-194
ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Jagtani, Rohit; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2023):
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.
World Conference on Explainable Artificial Intelligence (xAI 2023), Lisboa, Portugal, 26-28 July 2023.
Longo, Luca (Hrsg.):
Cham: Springer Nature Switzerland. S. 177-194