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Veröffentlichungsdatum
Anzahl der Publikationen: 4
2022
Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Shaker, Mohammad Hossein
(August 2022):
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison.
38th Conference on Uncertainty in Artificial Intelligence, Eindhoven, Netherlands, 1-5 August 2022.
Cussens, James und Zhang, Kun (Hrsg.):
In: Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence,
Bd. 180
PMLR. S. 548-557
[PDF, 426kB]
ORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Shaker, Mohammad Hossein
(August 2022):
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison.
38th Conference on Uncertainty in Artificial Intelligence, Eindhoven, Netherlands, 1-5 August 2022.
Cussens, James und Zhang, Kun (Hrsg.):
In: Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence,
Bd. 180
PMLR. S. 548-557
[PDF, 426kB]
Nguyen, Vu-Linh; Shaker, Mohammad Hossein und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Januar 2022):
How to measure uncertainty in uncertainty sampling for active learning.
In: Machine Learning, Bd. 111, Nr. 1: S. 89-122
[PDF, 7MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(Januar 2022):
How to measure uncertainty in uncertainty sampling for active learning.
In: Machine Learning, Bd. 111, Nr. 1: S. 89-122
[PDF, 7MB]
2021
Feldhans, Robert; Wilke, Adrian; Heindorf, Stefan; Shaker, Mohammad Hossein; Hammer, Barbara; Ngonga Ngomo, Axel-Cyrille und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2021):
Drift Detection in Text Data with Document Embeddings.
Intelligent Data Engineering and Automated Learning – IDEAL 2021, Manchester, United Kingdom, November 25-27, 2021.
In: Intelligent Data Engineering and Automated Learning – IDEAL 2021,
Bd. 13113
Cham: Springer. S. 107-118
ORCID: https://orcid.org/0000-0002-9944-4108
(November 2021):
Drift Detection in Text Data with Document Embeddings.
Intelligent Data Engineering and Automated Learning – IDEAL 2021, Manchester, United Kingdom, November 25-27, 2021.
In: Intelligent Data Engineering and Automated Learning – IDEAL 2021,
Bd. 13113
Cham: Springer. S. 107-118
2020
Shaker, Mohammad Hossein und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(April 2020):
Aleatoric and Epistemic Uncertainty with Random Forests.
International Symposium on Intelligent Data Analysis, Bodenseeforum, Lake Constance, Germany, April 27-29 2020.
In: Advances in Intelligent Data Analysis XVIII,
Bd. 12080
Cham: Springer. S. 444-456
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(April 2020):
Aleatoric and Epistemic Uncertainty with Random Forests.
International Symposium on Intelligent Data Analysis, Bodenseeforum, Lake Constance, Germany, April 27-29 2020.
In: Advances in Intelligent Data Analysis XVIII,
Bd. 12080
Cham: Springer. S. 444-456
[PDF, 1MB]