Classification Trees Based on Belief Functions. - Nicolas Sutton-Charani; Sébastien Destercke; Thierry Denoeux (Belief Functions, 2012)

Learning Decision Trees from Uncertain Data with an Evidential EM Approach. - Nicolas Sutton-Charani; Sébastien Destercke; Thierry Denoeux (ICMLA (1), 2013)

Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning. - Nicolas Sutton-Charani; Sébastien Destercke; Thierry Denoeux (Belief Functions, 2014)

Application of E 2 M Decision Trees to Rubber Quality Prediction. - Nicolas Sutton-Charani; Sébastien Destercke; Thierry Denoeux (IPMU (1), 2014)

Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework. - Nicolas Sutton-Charani; Abdelhak Imoussaten; Sébastien Harispe; Jacky Montmain (IPMU (1), 2018)

Apports des ontologies aux systèmes de recommandation : état de l'art et perspectives. - Yu Du; Sylvie Ranwez; Nicolas Sutton-Charani; Vincent Ranwez (IC, 2019)

Bayesian Smoothing of Decision Tree Soft Predictions and Evidential Evaluation. - Nicolas Sutton-Charani (IPMU (2), 2020)

On the evaluation of retrofitting for supervised short-text classification. - Kaoutar Ghazi; Andon Tchechmedjiev; Sébastien Harispe; Nicolas Sutton-Charani; Gildas Tagny Ngompé (JOWO, 2020)

The AffectMove Challenge: some machine learning approaches. - Gérard Dray; Pierre-Antoine Jean; Yann Maheu; Jacky Montmain; Nicolas Sutton-Charani (ACII (Workshops and Demos), 2021)

Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches. - Yu Du; Sylvie Ranwez; Nicolas Sutton-Charani; Vincent Ranwez (Inf. Process. Manag., 2021)

Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention. - Nicolas Sutton-Charani; Francis Faux; Didier Delignières; Willy Fagard; Arnaud Dupeyron; Marie Nourrisson (BELIEF, 2022)

Filtrage crédibiliste et gradient spatio-temporel pour l'analyse des micro-mouvements dans le cadre de la prévention des escarres. - Nicolas Sutton-Charani; Francis Faux; Didier Delignières; Willy Fagart; Arnaud Dupeyron; Marie Nourrisson (LFA, 2022)

Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy. - Yu Du; Sylvie Ranwez; Nicolas Sutton-Charani; Vincent Ranwez (Knowl. Based Syst., 2022)

Evidential Linear Regression for Soft Detrended Fluctuation Analysis. - Nicolas Sutton-Charani; Francis Faux (IPMU (1), 2024)

Multi-Output Regression for the Prediction of World-Class Performances in Women's Handball. - Rayane Elimam; Nicolas Sutton-Charani; Jacques Prioux; Jacky Montmain; Stéphane Perrey (IEEE Access, 2025)