1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026
How Much Imprecision is Enough Imprecision in my Classifier? A Practical Elicitation Procedure
Victor F. Lopes de Souza, Sébastien Destercke, Abdelhak Imoussaten
Set-valued classifiers, whether derived from precise probabilities and an adapted cost function, from convex sets with a robust inference mechanism, or from conformal methods, are…
cs.LG2025★ 1 cited
Explainable Evidential Clustering
Victor F. Lopes de Souza, Karima Bakhti, Sofiane Ramdani +2
Unsupervised classification is a fundamental machine learning problem. Real-world data often contain imperfections, characterized by uncertainty and imprecision, which are not well…