Loading...
Derniers dépôts
-
-
-
-
Roman Malinowski, Emmanuelle Sarrazin, Emmanuel Dubois, Loïc Dumas, Sébastien Destercke. Robust Confidence Intervals for Digital Surface Models Using Satellite Photogrammetry. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), Jul 2024, Athens, Greece. pp.8741-8744, ⟨10.1109/IGARSS53475.2024.10642890⟩. ⟨hal-04917148⟩
-
-
-
-
Priscillia Labourg, Sébastien Destercke, Romain Guillaume, Jeremy Rohmer, Benjamin Quost, et al.. Geospatial Uncertainties: A Focus on Intervals and Spatial Models Based on Inverse Distance Weighting. 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024), Jul 2024, Lisboa, Portugal. pp.377-388, ⟨10.1007/978-3-031-74003-9_30⟩. ⟨hal-04886105⟩
-
-
Soroush Ghandi, Benjamin Quost, Cassio de Campos. Probabilistic Circuits with Constraints via Convex Optimization. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Sep 2024, Vilnius, Lithuania. pp.161-177, ⟨10.1007/978-3-031-70352-2_10⟩. ⟨hal-04885997⟩
-
Wenlong Chen, Cyprien Gilet, Benjamin Quost, Sébastien Destercke. Robust Discrete Bayesian Classifier Under Covariate and Label Noise. 16th International Conference on Scalable Uncertainty Management (SUM 2024), Nov 2024, Palermo (Italy), Italy. pp.100-114, ⟨10.1007/978-3-031-76235-2_8⟩. ⟨hal-04885949⟩
-
-
-
-
-
Krushna Shinde, Pierre Feissel, Sébastien Destercke. Material parameter identification using set-valued inverse problem and detection of outliers in the noisy measurements. 14ème Colloque National en Calcul de Structures (CSMA 2019), CSMA, LEM3, MSME, Université de Lorraine, Arts et Métiers, CNRS, May 2019, Hyères, France. ⟨hal-04824585⟩
-
-
Nicolas Urbani, Sylvain Rousseau, Yves Grandvalet, Leonardo Tanzi. Harnessing Superclasses for Learning from Hierarchical Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Sep 2024, Vilnius (Lituanie), Lithuania. pp.247-265, ⟨10.1007/978-3-031-70359-1_15⟩. ⟨hal-04695348⟩
-
-
Frédéric Pichon, Serigne Diène, Thierry Denoeux, Sébastien Ramel, David Mercier. r-ERBFN : an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence. 16th International Conference on Scalable Uncertainty Management (SUM 2024), Nov 2024, Palermo, Italy. pp.354-368, ⟨10.1007/978-3-031-76235-2_26⟩. ⟨hal-04788662⟩