C. Lian, H. Li, T. Denoeux, P. Vera and S. Ruan, Dempster-Shafer Theory based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy, 18th International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI-2015), Part III, LNCS 9351, pages 695-702, Springer, Munich, Germany, October 2015. pdf

C. Lian, S. Ruan, T. Denoeux and P. Vera. Outcome prediction in tumour therapy based on Dempster-Shafer Theory. IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015), New York, USA, pages 63-66, April 2015. pdf

N. Sutton-Charani, S. Destercke and T. Denoeux. Application of E2M decision trees to rubber quality prediction. In A. Laurent, O. Strauss, B. Meunier et al. (Eds), 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2014), Montpellier, France, July 2014. In Information Processing and Management of Uncertainty in Knowledge-based Systems, Book Series: Communications in Computer and Information Science, Vol. 442, Pages 107-116, 2014. pdf

N. El Zoghby, V. Cherfaoui and T. Denoeux. Evidential Distributed Dynamic Map for Cooperative Perception in VANets. In proceedings of IEEE intelligent Vehicles Symposium 2014, Dearborn, Michigan, USA, 8-11 juin 2014, pp. 1421-1426. pdf

Z. L. Cherfi, L. Oukhellou, P. Akin and T. Denoeux. Using imprecise and uncertain information to enhance the diagnosis of a railway device. In S. Li et al. (Eds), Non Linear Mathematics for Uncertainty and its Applications, Beijing, China, pages 213-220, Septembre 2011. Advances in Intelligent and Soft Computing Vo. 100, Springer. pdf

G. Nassreddine, F. Abdallah and T. Denoeux. A new method for state estimation of dynamic system based on Dempster-Shafer theory. In Proceedings of the Int. Conf. on Advances in Computational Tools for Engineering Applications (ACTEA '09), pages 101-106, Notre-Dame University, Lebanon, July 15-17 2009. pdf

V. Cherfaoui, T. Denoeux and Z. L Cherfi. Distributed data fusion: application to confidence management in vehicular networks. In Proceedings of the 11th Int. Conf. on Information Fusion (FUSION '08), pages 846-853, Cologne, Germany, June 30-July 03, 2008. pdf

G. Nassreddine, F. Abdallah and T. Denoeux. Map matching algorithm using belief function theory. In Proceedings of the 11th Int. Conf. on Information Fusion (FUSION '08), pages 995-1002, Cologne, Germany, June 30-July 03, 2008. pdf

E. Côme, L. Oukhellou, P. Aknin and T. Denoeux. Diagnostic de systèmes spatialement répartis, modèle génératif et méthode à noyau. XXIe Colloque GRETSI, pages 633-636, September 2007, Troyes, France. pdf

K. Worden, G. Manson and T. Denoeux. Evidence-based damage classification for an aircraft structure. Proceedings of First International Conference on Uncertainty in Structural Dynamics, pages 279-288, Sheffield, UK, 2007. pdf

A. Debiolles, L. Oukhellou, T. Denoeux and P. Aknin. Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track-vehicle transmission system. Proceedings of FUSION'2006, Florence, Italy, July 2006. pdf

W. Schön, T. Denoeux. Prise en compte des incertitudes dans les évaluations de risque à l'aide des fonctions de croyance. Congrès Maîtrise des risques et Sûreté de Fonctionnement, LambdaMu 14, Bourges, France, 12-14 Octobre 2004. pdf

S. Maquiné de Souza, T. Denoeux, Y. Grandvalet. Recycling experiments for sludge monitoring in waste water treatment plants. IEEE International Conference on Systems, Man and Cybernetics, 2004, The Hague, The Netherlands, October 10-13 2004. pdf

S. Démotier, W.Schön, T. Denoeux, K. Odeh. A new approach to assess risk in water treatment using the belief function framework. IEEE International Conference on Systems, Man and Cybernetics, 2003,Volume: 2 , 5-8 Oct. 2003, Vol. 2, Pages 1792 – 1797. pdf

S. Démotier, T. Denoeux and W. Schön. Risk assessment in drinking water production using belief functions. In T. D. Nielsen and N. L. Zhang, Eds, Proceedings of ECQSARU'2003, pages 319-331, Aalborg, Denmark, July 2003, Springer-Verlag. postscript

S. Populaire, T. Denoeux. Combining expert knowledge with data based on belief function theory: an application in waste water treatment. 2002 IEEE International Conference on Systems, Man and Cybernetics, Hammamet, Tunisie, October 6-9, 2002. pdf

S. Populaire, J. Blanc, T. Denoeux, P. Ginestet, A. Mpe A Guilikeng. Fusion of Expert Knowledge with Data using Belief Functions: a case study in wastewater treatment. 5th International Conference on Information Fusion, Annapolis, Maryland, USA, 7-11 July 2002. pdf

S. Populaire, T. Denoeux. Estimation of pollution solubility in wastewater by Fusion of Expert Knowledge with Data using the Belief Functions Theory. STarting Artificial Intelligence Researchers Symposium (STAIRS) 2002, Lyon, France, 22- 24 juillet 2002. pdf

P. Vannoorenberghe et T. Denoeux. Diagnostic de la pollution atmosphérique par une approche RDF utilisant les fonctions de croyance. Colloque Automatique et Environnement A&E 2001, Saint-Etienne, 4-6 juillet 2001. pdf

F. Fotoohi et T. Denoeux. Outils de surveillance et de gestion de l'eau et de l'environnement. In Actes du 2ème Symposium International Québec-Paris “La réhabilitation et l'aménagement des cours d'eau en milieu urbain”, pages 37-49, Paris, 18-20 octobre 2000, AGHTM.

N. Valentin et T. Denoeux. Modélisation du procédé de coagulation en traitement d'eau potable à l'aide de réseaux de neurones artificiels In Actes des 14èmes Journées Information Eaux, Tome 1, pages 23-(1-11), Poitiers, 13-15 septembre 2000.

W. Schön, K. Odeh, T. Denoeux and F. Fotoohi. Maîtrise des risques dans le domaine de l'eau potable. In Actes du 12e Colloque National de Sûreté de Fonctionnement, pages 695-701, Montpellier, March 2000. ps, pdf