Mohammed Fellaji, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro. On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss. In Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite, editors, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV. Volume 14944 of Lecture Notes in Computer Science, pages 160-176, Springer, 2024. [doi]
@inproceedings{FellajiPCC24,
title = {On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss},
author = {Mohammed Fellaji and Frédéric Pennerath and Brieuc Conan-Guez and Miguel Couceiro},
year = {2024},
doi = {10.1007/978-3-031-70359-1_10},
url = {https://doi.org/10.1007/978-3-031-70359-1_10},
researchr = {https://researchr.org/publication/FellajiPCC24},
cites = {0},
citedby = {0},
pages = {160-176},
booktitle = {Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV},
editor = {Albert Bifet and Jesse Davis and Tomas Krilavicius and Meelis Kull and Eirini Ntoutsi and Indre Zliobaite},
volume = {14944},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-70359-1},
}