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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 2
2025
Rodemann, Julian 
ORCID: https://orcid.org/0000-0001-6112-4136; Croppi, Federico; Arens, Philipp; Sale, Yusuf; Herbinger, Julia; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Augustin, Thomas ORCID: https://orcid.org/0000-0002-1854-6226; J. Walsh, Conor und Casalicchio, Giuseppe ORCID: https://orcid.org/0000-0001-5324-5966
(2025):
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 15. - 19. September.
In: Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track,
Bd. 16020
S. 525-542
[PDF, 2MB]
ORCID: https://orcid.org/0000-0001-6112-4136; Croppi, Federico; Arens, Philipp; Sale, Yusuf; Herbinger, Julia; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Augustin, Thomas ORCID: https://orcid.org/0000-0002-1854-6226; J. Walsh, Conor und Casalicchio, Giuseppe ORCID: https://orcid.org/0000-0001-5324-5966
(2025):
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 15. - 19. September.
In: Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track,
Bd. 16020
S. 525-542
[PDF, 2MB]
2021
Croppi, Federico
(29. September 2021):
Explaining Sequential Model-Based Optimization.
Masterarbeit,
Ludwig-Maximilians-Universität München
[PDF, 915kB]
[PDF, 915kB]