Nicolas Sutton-Charani

18 papers C 1Journal 4Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
Dynamical 2D-DFA for movement analysis in obstetrics.
MOCO
Francis Faux, Nicolas Sutton-Charani, Sarah Iaquinta, Anne-Sophie Caro
2025 J jnl
Multi-Output Regression for the Prediction of World-Class Performances in Women's Handball.
IEEE Access
Rayane Elimam, Nicolas Sutton-Charani, Jacques Prioux, Jacky Montmain, Stéphane Perrey
2025 C conf
TREB: Temporal Refinement of Egocentric Body Pose.
CBMI
Bruno Henriques, Benjamin Allaert, Nicolas Sutton-Charani, Pierre R. L. Slangen, Jean-Philippe Vandeborre
2024 — conf
Evidential Linear Regression for Soft Detrended Fluctuation Analysis.
IPMU (1)
Nicolas Sutton-Charani, Francis Faux
2024 J jnl
Sensitivity Analysis of Traffic Sign Recognition to Image Alteration and Training Data Size.
Inf.
Arthur Rubio, Guillaume Demoor, Simon Chalmé, Nicolas Sutton-Charani, Baptiste Magnier
2022 — conf
Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention.
BELIEF
Nicolas Sutton-Charani, Francis Faux, Didier Delignières, Willy Fagard, Arnaud Dupeyron, Marie Nourrisson
2022 — conf
Filtrage crédibiliste et gradient spatio-temporel pour l'analyse des micro-mouvements dans le cadre de la prévention des escarres.
LFA
Nicolas Sutton-Charani, Francis Faux, Didier Delignières, Willy Fagart, Arnaud Dupeyron, Marie Nourrisson
2022 J jnl
Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy.
Knowl. Based Syst.
Yu Du, Sylvie Ranwez, Nicolas Sutton-Charani, Vincent Ranwez
2021 J jnl
Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches.
Inf. Process. Manag.
Yu Du, Sylvie Ranwez, Nicolas Sutton-Charani, Vincent Ranwez
2021 — conf
The AffectMove Challenge: some machine learning approaches.
ACII (Workshops and Demos)
Gérard Dray, Pierre-Antoine Jean, Yann Maheu, Jacky Montmain, Nicolas Sutton-Charani
2020 — conf
Bayesian Smoothing of Decision Tree Soft Predictions and Evidential Evaluation.
IPMU (2)
Nicolas Sutton-Charani
2020 — conf
On the evaluation of retrofitting for supervised short-text classification.
JOWO
Kaoutar Ghazi, Andon Tchechmedjiev, Sébastien Harispe, Nicolas Sutton-Charani, Gildas Tagny Ngompé
2019 — conf
Apports des ontologies aux systèmes de recommandation : état de l'art et perspectives.
IC
Yu Du, Sylvie Ranwez, Nicolas Sutton-Charani, Vincent Ranwez
2018 — conf
Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework.
IPMU (1)
Nicolas Sutton-Charani, Abdelhak Imoussaten, Sébastien Harispe, Jacky Montmain
2014 — conf
Application of E 2 M Decision Trees to Rubber Quality Prediction.
IPMU (1)
Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux
2014 — conf
Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning.
Belief Functions
Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux
2013 — conf
Learning Decision Trees from Uncertain Data with an Evidential EM Approach.
ICMLA (1)
Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux
2012 — conf
Classification Trees Based on Belief Functions.
Belief Functions
Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux