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Thierry Denoeux

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

56

Venues

20

Active years

1995–2022

Best venue rank

A*

Where they publish

Papers

56 indexed papers, newest first.

YearVenueTitleAuthors
2022AAAITrusted Multi-View Deep Learning with Opinion Aggregation.Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux
2022ICIPStable Clustering Ensemble Based on Evidence Theory.Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux
2022MICCAIEvidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation.Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2021MICCAIDeep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation.Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2020KSEMEvidential Deep Neural Networks for Uncertain Data Classification.Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux
2019IFSACollaborative Evidential Clustering.Yixuan Qiao, Shoumei Li, Thierry Denoeux
2017FUSIONConstrained interval-valued linear regression model.Feng Li, Shoumei Li, Nana Tang, Thierry Denoeux
2017ICIPAccurate tumor segmentation in FDG-PET images with guidance of complementary CT images.Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera
2016IPMUJoint Feature Transformation and Selection Based on Dempster-Shafer Theory.Chunfeng Lian, Su Ruan, Thierry Denoeux
2016MICCAIRobust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images.Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2015ECSQARUEvidential Editing K-Nearest Neighbor Classifier.Lianmeng Jiao, Thierry Denoeux, Quan Pan
2015FUSIONEvidential multinomial logistic regression for multiclass classifier calibration.Philippe Xu, Franck Davoine, Thierry Denoeux
2015MICCAIDempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy.Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2014BMVCEvidential combination of pedestrian detectors.Philippe Xu, Franck Davoine, Thierry Denoeux
2014FUSIONFusion of pairwise nearest-neighbor classifiers based on pairwise-weighted distance metric and Dempster-Shafer theory.Lianmeng Jiao, Thierry Denoeux, Quan Pan
2014IPMUApplication of E 2 M Decision Trees to Rubber Quality Prediction.Nicolas Sutton-Charani, Sbastien Destercke, Thierry Denoeux
2013FUSIONUsing Dempster-Shafer theory to model uncertainty in climate change and environmental impact assessments.Nadia Ben Abdallah, Nassima Mouhous Voyneau, Thierry Denoeux
2013FUSIONOptimal object association from pairwise evidential mass functions.Nicole El Zoghby, Vronique Cherfaoui, Thierry Denoeux
2013ICMLALearning Decision Trees from Uncertain Data with an Evidential EM Approach.Nicolas Sutton-Charani, Sbastien Destercke, Thierry Denoeux
2013MVAInformation Fusion on Oversegmented Images: An Application for Urban Scene Understanding.Philippe Xu, Franck Davoine, Jean-Baptiste Bordes, Huijing Zhao, Thierry Denoeux
2012FUSIONPurifying training data to improve performance of multi-label classification algorithms.Sawsan Kanj, Fahed Abdallah, Thierry Denoeux
2012IPMUConstructing Rule-Based Models Using the Belief Functions Framework.Rui Jorge Almeida, Thierry Denoeux, Uzay Kaymak
2012SSSSelf-stabilizing Distributed Data Fusion.Bertrand Ducourthial, Vronique Cherfaoui, Thierry Denoeux
2011EUSFLATCEVCLUS: Constrained evidential clustering of proximity data.Violaine Antoine, Benjamin Quost, Mylne Masson, Thierry Denoeux
2011ICMLASemi-supervised Feature Extraction Using Independent Factor Analysis.Latifa Oukhellou, Etienne Cme, Patrice Aknin, Thierry Denoeux
2010IPMUEvidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels.Zoulficar Younes, Fahed Abdallah, Thierry Denoeux
2010KSEMTheory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects.Thierry Denoeux
2009ECSQARUBelief Functions and Cluster Ensembles.Marie-Hlne Masson, Thierry Denoeux
2009ESANNPartially-supervised learning in Independent Factor Analysis.Etienne Cme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux
2009EUSFLATFuzzy Modelling of Sensor Data for the Estimation of an Origin-Destination Matrix.Krystyna Biletska, Sophie Midenet, Marie-Hlne Masson, Thierry Denoeux
2009FUSIONA state estimation method for multiple model systems using belief function theory.Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux
2009ICANNNoiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis.Etienne Cme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2009KDDLearning from data with uncertain labels by boosting credal classifiers.Benjamin Quost, Thierry Denoeux
2009SMCMultisensor data fusion for OD matrix estimation.Krystyna Biletska, Marie-Hlne Masson, Sophie Midenet, Thierry Denoeux
2008FlAIRSA New Justification of the Unnormalized Dempster's Rule of Combination from the Least Commitment Principle.Frdric Pichon, Thierry Denoeux
2008FUSIONDistributed data fusion: application to confidence management in vehicular networks.Vronique Cherfaoui, Thierry Denoeux, Zohra Leila Cherfi
2008FUSIONMap matching algorithm using belief function theory.Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux
2008FUSIONRefined classifier combination using belief functions.Benjamin Quost, Marie-Hlne Masson, Thierry Denoeux
2007ECSQARUConsonant Belief Function Induced by a Confidence Set of Pignistic Probabilities.Astride Aregui, Thierry Denoeux
2007ECSQARUPattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments.Thierry Denoeux
2007ECSQARUOn Latent Belief Structures.Frdric Pichon, Thierry Denoeux
2007FUSIONFusion of one-class classifiers in the belief function framework.Astride Aregui, Thierry Denoeux
2006FUSIONOutput coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system.Alexandra Debiolles, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2006FUSIONThe cautious rule of combination for belief functions and some extensions.Thierry Denoeux
2006FUSIONGeneral Correction Mechanisms for Weakening or Reinforcing Belief Functions.David Mercier, Thierry Denoeux, Marie-Hlne Masson
2005ECSQARUContextual Discounting of Belief Functions.David Mercier, Benjamin Quost, Thierry Denoeux
2004SMCRecycling experiments for sludge monitoring in waste water treatment.Sandro Glaucio Maquin de Souza, Thierry Denoeux, Yves Grandvalet
2003ECSQARURisk Assessment in Drinking Water Production Using Belief Functions.Sabrina Dmotier, Thierry Denoeux, Paul Walter Schn
2003SMCA new approach to assess risk in water treatment using the belief function framework.Sabrina Dmotier, Paul Walter Schn, Thierry Denoeux, Khaled Odeh
2001ECSQARUCoarsening Approximations of Belief Functions.Amel Ben Yaghlane, Thierry Denoeux, Khaled Mellouli
2000SMCInduction of decision trees from partially classified data using belief functions.Thierry Denoeux, M. Skarstein Bjanger
1999ECSQARUHandling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach.Simon Petit-Renaud, Thierry Denoeux
1999ECSQARUState Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory.Michle Rombaut, Iman Jarkass, Thierry Denoeux
1999IJCNNAn hybrid neural network based system for optimization of coagulant dosing in a water treatment plant.Nicolas Valentin, Thierry Denoeux, F. Fotoohi
1995CAIPAn Adaptive k-NN Rule Based on Dempster-Shafer Theory.Lalla Merieme Zouhal, Thierry Denoeux
1995ESANNPerformance analysis of a MLP weight initialization algorithm.Mohamed Karouia, Rgis Lengell, Thierry Denoeux