Destercke, Sebastien

20 publications

ISIPTA 2025 Credal Discrete Classifier Wenlong Chen, Cyprien Gilet, Benjamin Quost, Sébastien Destercke

MLJ 2025 Credal Ensembling in Multi-Class Classification Vu-Linh Nguyen, Haifei Zhang, Sébastien Destercke

UAI 2025 Guaranteed Prediction Sets for Functional Surrogate Models Ander Gray, Vignesh Gopakumar, Sylvain Rousseau, Sebastien Destercke

ISIPTA 2025 On the Value of Varied Evidence for Imprecise Probabilities Jürgen Landes, Sébastien Destercke

MLJ 2024 Softmin Discrete Minimax Classifier for Imbalanced Classes and Prior Probability Shifts Cyprien Gilet, Marie Guyomard, Sébastien Destercke, Lionel Fillatre

ISIPTA 2023 Learning Calibrated Belief Functions from Conformal Predictions Vitor Martin Bordini, Sébastien Destercke, Benjamin Quost

ISIPTA 2023 Prime Implicants as a Versatile Tool to Explain Robust Classification Hénoı̈k Willot, Sébastien Destercke, Khaled Belahcène

ISIPTA 2023 Uncertainty Propagation Using Copulas in a 3D Stereo Matching Pipeline Roman Malinowski, Sébastien Destercke, Emmanuel Dubois, Loı̈c Dumas, Emmanuelle Sarrazin

UAI 2022 Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison Eyke Hüllermeier, Sébastien Destercke, Mohammad Hossein Shaker

ISIPTA 2021 Distributionally Robust, Skeptical Binary Inferences in Multi-Label Problems Yonatan Carlos Carranza Alarcón, Sébastien Destercke

UAI 2021 Possibilistic Preference Elicitation by Minimax Regret Loïc Adam, Sebastien Destercke

ISIPTA 2021 Processing Multiple Distortion Models: A Comparative Study Sébastien Destercke, Ignacio Montes, Enrique Miranda

ISIPTA 2019 A Unifying Frame for Neighbourhood and Distortion Models Enrique Miranda, Ignacio Montes, Sébastien Destercke

IJCAI 2019 How to Handle Missing Values in Multi-Criteria Decision Aiding? Christophe Labreuche, Sébastien Destercke

ISIPTA 2019 Imprecise Gaussian Discriminant Classification Yonatan Carlos Carranza Alarcon, Sébastien Destercke

IJCAI 2018 Reliable Multi-Class Classification Based on Pairwise Epistemic and Aleatoric Uncertainty Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier

AAAI 2017 Querying Partially Labelled Data to Improve a k-NN Classifier Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson

UAI 2015 Optimal Expert Elicitation to Reduce Interval Uncertainty Nadia Ben Abdallah, Sébastien Destercke

ECML-PKDD 2014 Cautious Ordinal Classification by Binary Decomposition Sébastien Destercke, Gen Yang

ECML-PKDD 2013 A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions Sébastien Destercke