This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
en:publi:other_conf [2015/05/11 09:16] – tdenoeux | en:publi:other_conf [2021/11/22 14:21] – tdenoeux | ||
---|---|---|---|
Line 1: | Line 1: | ||
====== Applications of Belief Functions ====== | ====== Applications of Belief Functions ====== | ||
- | - C. Lian, S. Ruan, T. Denoeux and P. Vera. Outcome prediction in tumour therapy based on Dempster-Shafer Theory. | + | - L. Huang, S. Ruan, P. Decazes and T. Denoeux. Evidential Segmentation of 3D PET/CT Images. In T. Denoeux, E. Lefèvre, Zh. Liu and F. Pichon (Eds), Belief Functions: Theory and Applications, |
+ | - L. Huang, S. Ruan and T. Denoeux. Covid-19 Classification with Deep Neural Network and Belief Functions. Fifth International Conference on Biological Information and Biomedical Engineering (BIBE 2021), July 20–22, 2021, Hangzhou, China. {{ : | ||
+ | - L. Huang, S. Ruan and T. Denoeux. Belief function-based semi-supervised learning for brain tumor segmentation. 2021 IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France, IEEE, 2021. {{ : | ||
+ | - C. Lian, S. Ruan, T. Denoeux, Y. Guo and P. Vera. Accurate segmentation in FDG-PET images with guidance of complementary CT images. 2017 IEEE International Conference on Image Processing (ICIP 2017), Beijing, China, IEEE, 2017. {{: | ||
+ | - C. Lian, S. Ruan, T. Denoeux, H. Li and P. Vera. Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive | ||
+ | - C. Lian, S. Ruan, T. Denoeux, H. Li, and P. Vera, " | ||
+ | - 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), | ||
+ | - C. Lian, S. Ruan, T. Denoeux and P. Vera. Outcome prediction in tumour therapy based on Dempster-Shafer Theory. | ||
- N. Sutton-Charani, | - N. Sutton-Charani, | ||
- 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. {{: | - 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. {{: | ||
- 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, | - 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, | ||
- | - Z. L. Cherfi, L. Oukhellou, P. Akin and T. Denoeux. Analyse en composantes indépendantes parcimonieuse pour le diagnostic de systèmes répartis. XXe colloque GRETSI, Dijon, France, September 2009. {{en: | ||
- | - K. Biletska, M.-H. Masson, S. Midenet and T. Denoeux, Multisensor data fusion for OD matrix estimation, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, | ||
- | - K. Biletska, M.-H. Masson, S. Midenet and T. Denoeux. Short-time OD matrix estimation for a complex junction using Fuzzy-Timed High-Level Petri Nets, Proceedings of 12th International IEEE Conference on Intelligent Transportation Systems, October 3-7, 2009, St. Louis, MO, USA. {{en: | ||
- | - K. Biletska, S. Midenet, M.-H. Masson and T. Denoeux. Fuzzy modelling of sensor data for the estimation of an origin-destination matrix. In Proceedings of IFSA/ | ||
- G. Nassreddine, | - G. Nassreddine, | ||
- 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. {{en: | - 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. {{en: | ||
Line 14: | Line 17: | ||
- 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. {{en: | - 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. {{en: | ||
- 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' | - 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' | ||
- | - S. Maquiné de Souza, Y. Grandvalet, T. Denoeux. Monitoring of a sludge dewatering equipment by image classification. Wavelet Applications in Industrial Processing II, Proceedings of SPIE, volume 5607, pages 34-45, Philadelphia, | ||
- 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, | - 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, | ||
- | - 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, | ||
- 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, | - 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, | ||
- 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' | - 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' | ||
- | - 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, | ||
- | - S. Populaire, J. Blanc, T. Denoeux, P. Ginestet, | ||
- | - 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. {{en: | ||
- 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, | - 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, | ||
- | - F. Fotoohi et T. Denoeux. Outils de surveillance et de gestion de l'eau et de l' | ||
- | - 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, | - 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, | ||
- | - M. Clément, T. Denoeux, and T. Trautmann. A data fusion system for river monitoring. In S. Pfleger, J. Gonçalves and K. Varghese, editors, Advances in Human Computer Interaction, | + | |
- | - T. Trautmann, M. Clément, T. Denoeux and T. Wittig. Application of intelligent techniques to river quality monitoring. In Proceedings of EUFIT' | + | |
- | - T. Denoeux, R. Sobral, and J.-F. Depierre. Détection de fuites dans un réseau de distribution d'eau potable par comparaison entre les consommations prévues et mesurées. In Colloque sur le rendement des réseaux d'eau, pages 191-200, Strasbourg, France, June 1991. AGHTM. {{en: | + | |
- | - T. Denoeux, R. Sobral, T. Langlois, and A. Bruchet. Interprétation de pyrochromatogrammes par réseaux de neurones artificiels. In Convention IA 91, pages 383-399, Paris, 1991. Hermès. | + | |
- | - M. Clément and T. Denoeux. L' | + |