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    14

    Nicolas Sutton-Charani


    Journal articles1 document

    • Emmanuel Vallance, Nicolas Sutton-Charani, Abdelhak Imoussaten, Jacky Montmain, Stéphane Perrey. Combining Internal- and External-Training-Loads to Predict Non-Contact Injuries in Soccer. Applied Sciences, MDPI, 2020, 10 (15), pp.5261. ⟨10.3390/app10155261⟩. ⟨hal-02913576⟩

    Conference papers12 documents

    • Kaoutar Ghazi, Sébastien Marchal, Andon Tchechmedjiev, Pierre-Antoine Jean, Nicolas Sutton-Charani, et al.. Classification de phrases courtes : des approches non-supervisées aux approches faiblement supervisées. EGC 2020 - Extraction et Gestion des Connaissances (TextMine - Atelier sur la fouille de textes), Jan 2020, Bruxelles, Belgique. ⟨hal-02884204⟩
    • Nicolas Sutton-Charani. Bayesian Smoothing of Decision Tree Soft Predictions and Evidential Evaluation. IPMU 2020 - Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2020, Lisbonne, Portugal. pp.368-381, ⟨10.1007/978-3-030-50143-3_28⟩. ⟨hal-02872165⟩
    • Nicolas Sutton-Charani. Correction bayésienne de prédictions issues d'arbres de décision et évaluation crédibiliste. LFA 2019 - 28ème Rencontres Francophones sur la Logique Floue et ses Applications, Nov 2019, Alès, France. ⟨hal-02294377⟩
    • Yu Du, Sylvie Ranwez, Nicolas Sutton-Charani, Vincent Ranwez. Apports des ontologies aux systèmes de recommandation : état de l'art et perspectives. 30es Journées Francophones d'Ingénierie des Connaissances, IC 2019, AFIA, Jul 2019, Toulouse, France. pp.64-77. ⟨hal-02329644⟩
    • Yu Du, Sylvie Ranwez, Nicolas Sutton-Charani, Vincent Ranwez. Ajustement bayesien des mesures de similarité entre utilisateurs pour améliorer les recommandations basées sur un filtrage collaboratif. LFA 2019, IMT Mines Alès, Nov 2019, Alès, France. ⟨hal-02293232⟩
    • Nicolas Sutton-Charani, Abdelhak Imoussaten, Sébastien Harispe, Jacky Montmain. Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework. 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), Jun 2018, Cadix, Spain. ⟨10.1007/978-3-319-91473-2_26⟩. ⟨hal-02294352⟩
    • C. Coulon Leroy, Ronan Symoneaux, Nicolas Sutton-Charani, Jacky Montmain. Consideration of uncertainty during data acquisition and processing chain on sensory data. 11th Pangborn Sensory Science Symposium, 2015, Gothenburg, Sweden. ⟨hal-01933847⟩
    • Nicolas Sutton Charani, Sébastien Destercke, Thierry Denoeux. Application of E2M Decision Trees to Rubber Quality Prediction. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014), Jul 2014, Montpellier, France. pp.107-116, ⟨10.1007/978-3-319-08795-5_12⟩. ⟨hal-01063863⟩
    • Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux. Training and evaluating classifiers from evidential data: application to E2M tree pruning. Third International Conference on Belief Functions, BELIEF 2014, Sep 2014, Oxford, United Kingdom. ⟨hal-01923324⟩
    • Nicolas Sutton Charani, Sébastien Destercke, Thierry Denoeux. Learning decision trees from uncertain data with an evidential EM approach. 12th International Conference on Machine Learning and Applications (ICMLA 2013), Dec 2013, Miami, United States. pp.1-6. ⟨hal-00933177⟩
    • Nicolas Sutton Charani, Sébastien Destercke, Thierry Denoeux. Classification trees based on belief functions. 2nd International Conference on Belief Functions (BELIEF 2012), May 2012, Compiègne, France. pp.77-84, ⟨10.1007/978-3-642-29461-7_9⟩. ⟨hal-00723989⟩
    • Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux. Arbres de classification construits à partir de fonctions de croyance. Rencontres francophones sur la Logique Floue et ses Applications (LFA 2012), Nov 2012, Compiègne, France. ⟨hal-01923310⟩

    Poster communications1 document

    • Emmanuel Vallance, Nicolas Sutton-Charani, Abdelhak Imoussaten, Jacky Montmain, Stéphane Perrey. Machine learning approach for predicting injury in soccer from external and internal training loads. ACAPS 2019 - 18th Congress of the ACAPS in Paris, from the 29 - 31 October,, Oct 2019, Paris, France. 2019. ⟨hal-02416517⟩