| Combining internal-and external-training-loads to predict non-contact injuries in soccer E Vallance, N Sutton-Charani, A Imoussaten, J Montmain, S Perrey Applied Sciences 10 (15), 5261, 2020 | 60 | 2020 |
| Learning decision trees from uncertain data with an evidential EM approach N Sutton-Charani, S Destercke, T Denoeux 2013 12th International Conference on Machine Learning and Applications 1 …, 2013 | 28 | 2013 |
| The use of fitness-fatigue models for sport performance modelling: conceptual issues and contributions from machine-learning F Imbach, N Sutton-Charani, J Montmain, R Candau, S Perrey Sports Medicine-Open 8 (1), 29, 2022 | 19 | 2022 |
| Classification trees based on belief functions N Sutton-Charani, S Destercke, T Denœux Belief Functions: Theory and Applications: Proceedings of the 2nd …, 2012 | 19 | 2012 |
| Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches Y Du, S Ranwez, N Sutton-Charani, V Ranwez Information processing & management 58 (6), 102721, 2021 | 18 | 2021 |
| Apports des ontologies aux systèmes de recommandation: état de l'art et perspectives Y Du, S Ranwez, N Sutton-Charani, V Ranwez 30es Journées Francophones d'Ingénierie des Connaissances, IC 2019, 64-77, 2019 | 12 | 2019 |
| Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy Y Du, S Ranwez, N Sutton-Charani, V Ranwez Knowledge-Based Systems 245, 108560, 2022 | 10 | 2022 |
| Predictive modeling of the ratings of perceived exertion during training and competition in professional soccer players E Vallance, N Sutton-Charani, P Guyot, S Perrey Journal of Science and Medicine in Sport 26 (6), 322-327, 2023 | 6 | 2023 |
| Training and Evaluating Classifiers from Evidential Data: Application to E2M Decision Tree Pruning N Sutton-Charani, S Destercke, T Denœux Belief Functions: Theory and Applications: Third International Conference …, 2014 | 6 | 2014 |
| Influence of field retting on physicochemical and biological properties of “Futura 75” hemp stems EB Orm, N Sutton-Charani, S Bayle, JC Benezet, A Bergeret, L Malhautier Industrial Crops and Products 214, 118487, 2024 | 3 | 2024 |
| EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering Y Du, N Sutton-Charani, S Ranwez, V Ranwez Plos one 16 (8), e0255929, 2021 | 3 | 2021 |
| Evidential bagging: combining heterogeneous classifiers in the belief functions framework N Sutton-Charani, A Imoussaten, S Harispe, J Montmain Information Processing and Management of Uncertainty in Knowledge-Based …, 2018 | 3 | 2018 |
| Apprentissage à partir de données et de connaissances incertaines: application à la prédiction de la qualité du caoutchouc N Sutton-Charani Université de Technologie de Compiègne, 2014 | 3 | 2014 |
| Consideration of uncertainty during data acquisition and processing chain on sensory data CC Leroy, R Symoneaux, N Sutton-Charani, J Montmain 11th Pangborn Sensory Science Symposium, 2015 | 2 | 2015 |
| Application of E 2 M Decision Trees to Rubber Quality Prediction N Sutton-Charani, S Destercke, T Denoeux Information Processing and Management of Uncertainty in Knowledge-Based …, 2014 | 2 | 2014 |
| The AffectMove Challenge: some machine learning approaches G Dray, PA Jean, Y Maheu, J Montmain, N Sutton–Charani 2021 9th International Conference on Affective Computing and Intelligent …, 2021 | 1 | 2021 |
| Modélisation incertaine à partir de mesures non-reproductibles. Application à la comparaison de pression exercée par des matelas C Neverov, C Khnifass, P Beye, N Sutton-Charani, A Imoussaten, ... LFA 2019-28ème Rencontres Francophones sur la Logique Floue et ses Applications, 2019 | 1 | 2019 |
| EBCR: Empirical Bayes concordance rate to weight similarity measurement within collaborative filtering recommendations Y Du, N Sutton-Charani, S Ranwez, V Ranwez Advances on cognitive automation at LGI2P/Ecole des Mines d'Alès Doctoral …, 2019 | 1 | 2019 |
| Training and evaluating classifiers from evidential data: application to E2M tree pruning N Sutton-Charani, S Destercke, T Denoeux Third International Conference on Belief Functions, BELIEF 2014, 2014 | 1 | 2014 |
| Régression linéaire crédibiliste pour l’analyse douce des fluctuations redressées (soft DFA) N Sutton-Charani, F Faux LFA 2024-rencontres francophones sur la Logique Floue et ses Applications, 2024 | | 2024 |
Stéphane PerreyEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines AlesEmail verificata su umontpellier.fr
