Number of documents

7

Nicolas Sutton-Charani


Conference papers7 documents

  • Nicolas Sutton-Charani, Abdelhak Imoussaten, Sébastien Harispe, Jacky Montmain. Evidential bagging: Combining heterogeneous classifiers in the belief functions framework. 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2018, Jun 2018, Cádiz, France. ⟨hal-01923270⟩
  • 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. 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. 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. 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. 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⟩
  • 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⟩