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Anzahl der Publikationen: 7
Buchbeitrag
Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Couso, Ines
(2019):
Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.
In: Ben Amor, Nahla; Quost, Benjamin und Theobald, Martin (Hrsg.):
Scalable Uncertainty Management. Lecture Notes in Computer Science, Bd. 11940. Cham: Springer. S. 266-279
ORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Couso, Ines
(2019):
Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.
In: Ben Amor, Nahla; Quost, Benjamin und Theobald, Martin (Hrsg.):
Scalable Uncertainty Management. Lecture Notes in Computer Science, Bd. 11940. Cham: Springer. S. 266-279
Nguyen, Vu-Linh; Destercke, Sébastien und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Epistemic Uncertainty Sampling.
In: Kralj Novak, Petra; Šmuc, Tomislav und Džeroski, Sašo (Hrsg.):
Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11828. S. 72-86
ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Epistemic Uncertainty Sampling.
In: Kralj Novak, Petra; Šmuc, Tomislav und Džeroski, Sašo (Hrsg.):
Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11828. S. 72-86
Konferenzbeitrag
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; Destercke, Sébastien; Masson, Marie-Hélène und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty.
Twenty-Seventh International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 13-19 July 2018.
Lang, Jérôme (Hrsg.):
In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence,
Menlo Park, County of San Mateo, California: S. 5089-5095
ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty.
Twenty-Seventh International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 13-19 July 2018.
Lang, Jérôme (Hrsg.):
In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence,
Menlo Park, County of San Mateo, California: S. 5089-5095
Fink, Paul und Augustin, Thomas
(2017):
(Generalized) Linear Regression on Microaggregated Data. From Nuisance Parameter Optimization to Partial Identification.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10 - 14 July 2017.
Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.):
Bd. 62
PMLR. S. 157-168
Augustin, Thomas und Seising, Rudolf
(2017):
Kurt Weichselberger's Contribution to Imprecise Probabilities.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10 - 14 July 2017.
Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.):
Bd. 62
PMLR. S. 13-24
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(2017):
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10. - 14. Juli 2017.
Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.):
Proceedings of Machine Learning Research.
Bd. 62
PMLR. S. 181-192