Ph. Xu, F. Davoine, J.-B. Bordes, H. Zhao and Th. Denoeux. Multimodal Information Fusion for Urban Scene Understanding. Machine Vision and Applications (accepted for publication), 2014 pdf

B. Lelandais, S. Ruan, T. Denoeux, P. Vera, I. Gardin. Fusion of multi-tracer PET images for Dose Painting. Medical Image Analysis, Volume 18, Issue 7, Pages 1247-1259, 2014. pdf

Ph. Xu, F. Davoine, J.-B. Bordes, T. Denoeux. Fusion d'informations pour la compréhension de scènes. Traitement du Signal, Vol. 31, Number 1-2, pages 57-80, 2014. pdf

E. Côme, L. Oukhellou, T. Denoeux and P. Aknin. Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Analysis and Applications, Vol. 15, Number 3, pages 313-326, 2012. pdf

Z. L. Cherfi, L. Oukhellou, E. Côme, T. Denoeux and P. Aknin. Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: Application to railway track circuit diagnosis. Soft Computing, Vol. 16, Number 5, pages 741-754, 2012. pdf

F. Abdallah, G. Nassreddine and T. Denoeux. A multiple-hypotheses map matching method suitable for weighted and box-shaped state estimation for localization. IEEE Transactions on Intelligent Transportation Systems, Vol. 12, Issue 4, pages 1495-1510, 2011. pdf

L. Oukhellou, A. Debiolles, T. Denoeux and P. Aknin. Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Engineering Applications of Artificial Intelligence, Vol. 23, pages 117-128, 2010. pdf

K. Worden, G. Manson, T. Denoeux. An evidence-based approach to damage location on an aircraft structure. Mechanical Systems and Signal Processing, Vol. 23, Issue 6, pages 1792-1804, 2009. pdf

D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Decision fusion for postal address recognition using belief functions. Expert Systems with Applications, Vol. 36, Issue 3, pages 5643-5653, 2009. pdf

D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Fusion de décisions postales dans le cadre du Modèle des Croyances Transférables. Traitement du Signal, Vol. 24, Issue 2, pages 133-151, 2007. pdf

S. Démotier, W. Schön and T. Denoeux. Risk Assessment Based on Weak Information using Belief Functions: A Case Study in Water Treatment, IEEE Transactions on Systems, Man and Cybernetics C, , Vol. 36, Issue 3, 382-396, 2006. postscript, pdf