Nicolas Sutton-Charani

According to our database, Nicolas Sutton-Charani authored at least 13 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

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

Proceedings of the Belief Functions: Theory and Applications, 2022

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

The AffectMove Challenge: some machine learning approaches.

Gérard Dray, Pierre-Antoine Jean, Yann Maheu, Jacky Montmain, Nicolas Sutton-Charani

Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020

On the evaluation of retrofitting for supervised short-text classification.

Kaoutar Ghazi, Andon Tchechmedjiev, Sébastien Harispe, Nicolas Sutton-Charani, Gildas Tagny Ngompé

Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020), 2020

Bayesian Smoothing of Decision Tree Soft Predictions and Evidential Evaluation.

Nicolas Sutton-Charani

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

Apports des ontologies aux systèmes de recommandation : état de l'art et perspectives.

Yu Du, Sylvie Ranwez, Nicolas Sutton-Charani, Vincent Ranwez

Proceedings of the IC 2019: 30es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 30th French Knowledge Engineering Conference), 2019

2018

Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework.

Nicolas Sutton-Charani, Abdelhak Imoussaten, Sébastien Harispe, Jacky Montmain

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

2014

Application of E 2 M Decision Trees to Rubber Quality Prediction.

Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning.

Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux

Proceedings of the Belief Functions: Theory and Applications, 2014

2013

Learning Decision Trees from Uncertain Data with an Evidential EM Approach.

Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012

Classification Trees Based on Belief Functions.

Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux

Proceedings of the Belief Functions: Theory and Applications, 2012