Thierry Denoeux

283 papers A* 1A 1B 14C 28Misc 2Journal 156Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KP2L: Knowledge-driven pyramid prototype learning for semi-supervised medical image segmentation. Knowl. Based Syst. Yuqi Liu, Yufei Chen, Wei Fu, Xiaodong Yue, Thierry Denoeux
2025	J	`jnl`	Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation. Inf. Fusion Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2025	J	`jnl`	Evidential time-to-event prediction with calibrated uncertainty quantification. Int. J. Approx. Reason. Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng
2025	J	`jnl`	Multi-view evidential K-NN classification. Inf. Fusion Chaoyu Gong, Zhi-gang Su, Thierry Denoeux
2025	J	`jnl`	Uncertainty measures in a generalized theory of evidence. Fuzzy Sets Syst. Thierry Denoeux
2025	J	`jnl`	Uncertainty quantification in regression neural networks using evidential likelihood-based inference. Int. J. Approx. Reason. Thierry Denoeux
2024	—	`conf`	An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
2024	J	`jnl`	An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
2024	—	`ed.`	Belief Functions: Theory and Applications - 8th International Conference, BELIEF 2024, Belfast, UK, September 2-4, 2024, Proceedings BELIEF Yaxin Bi, Anne-Laure Jousselme, Thierry Denoeux
2024	—	`conf`	Combination of Dependent Gaussian Random Fuzzy Numbers. BELIEF Thierry Denoeux
2024	J	`jnl`	Combination of dependent and partially reliable Gaussian random fuzzy numbers. Inf. Sci. Thierry Denoeux
2024	J	`jnl`	Evidential time-to-event prediction model with well-calibrated uncertainty estimation. CoRR Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng
2024	J	`jnl`	Selecting reliable instances based on evidence theory for transfer learning. Expert Syst. Appl. Ying Lv, Bofeng Zhang, Xiaodong Yue, Thierry Denoeux, Shan Yue
2024	J	`jnl`	Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Marie-Jeanne Lesot, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Olivier Strauss, Christel Vrain
2024	—	`conf`	Uncertainty Quantification in Regression Neural Networks Using Likelihood-Based Belief Functions. BELIEF Thierry Denoeux
2024	J	`jnl`	Uncertainty quantification in logistic regression using random fuzzy sets and belief functions. Int. J. Approx. Reason. Thierry Denoeux
2024	—	`conf`	r-ERBFN: An Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence. SUM Frédéric Pichon, Serigne Mamadou Diene, Thierry Denoeux, Sébastien Ramel, David Mercier
2023	J	`jnl`	A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering. Int. J. Approx. Reason. Andrea Campagner, Davide Ciucci, Thierry Denoeux
2023	J	`jnl`	A general framework for evaluating and comparing soft clusterings. Inf. Sci. Andrea Campagner, Davide Ciucci, Thierry Denoeux
2023	J	`jnl`	Application of belief functions to medical image segmentation: A review. Inf. Fusion Ling Huang, Su Ruan, Thierry Denoeux
2023	—	`conf`	Belief Functions on the Real Line Defined by Transformed Gaussian Random Fuzzy Numbers. FUZZ Thierry Denoeux
2023	J	`jnl`	Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2023	J	`jnl`	Parametric families of continuous belief functions based on generalized Gaussian random fuzzy numbers. Fuzzy Sets Syst. Thierry Denoeux
2023	J	`jnl`	Quantifying Prediction Uncertainty in Regression Using Random Fuzzy Sets: The ENNreg Model. IEEE Trans. Fuzzy Syst. Thierry Denoeux
2023	J	`jnl`	Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: General framework and practical models. Fuzzy Sets Syst. Thierry Denoeux
2023	J	`jnl`	Semi-supervised multiple evidence fusion for brain tumor segmentation. Neurocomputing Ling Huang, Su Ruan, Thierry Denoeux
2022	—	`conf`	A Distributional Approach for Soft Clustering Comparison and Evaluation. BELIEF Andrea Campagner, Davide Ciucci, Thierry Denoeux
2022	J	`jnl`	A Distributional Approach for Soft Clustering Comparison and Evaluation. CoRR Andrea Campagner, Davide Ciucci, Thierry Denoeux
2022	—	`conf`	An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. BELIEF Thierry Denoeux
2022	J	`jnl`	An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. CoRR Thierry Denoeux
2022	J	`jnl`	Belief functions and rough sets: Survey and new insights. Int. J. Approx. Reason. Andrea Campagner, Davide Ciucci, Thierry Denoeux
2022	J	`jnl`	EGMM: An evidential version of the Gaussian mixture model for clustering. Appl. Soft Comput. Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu, Quan Pan
2022	—	`conf`	Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. MICCAI (5) Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2022	J	`jnl`	Evidence fusion with contextual discounting for multi-modality medical image segmentation. CoRR Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2022	J	`jnl`	Glenn Shafer - A short biography. Int. J. Approx. Reason. John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk
2022	J	`jnl`	Lymphoma segmentation from 3D PET-CT images using a deep evidential network. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2022	J	`jnl`	Lymphoma segmentation from 3D PET-CT images using a deep evidential network. Int. J. Approx. Reason. Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2022	J	`jnl`	Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer. Int. J. Approx. Reason. John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk
2022	J	`jnl`	Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models. CoRR Thierry Denoeux
2022	B	`conf`	Stable Clustering Ensemble Based on Evidence Theory. ICIP Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux
2022	A*	`conf`	Trusted Multi-View Deep Learning with Opinion Aggregation. AAAI Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux
2021	J	`jnl`	A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. IEEE Trans. Fuzzy Syst. Zhi-gang Su, Qinghua Hu, Thierry Denoeux
2021	J	`jnl`	A trivariate Gaussian copula stochastic frontier model with sample selection. Int. J. Approx. Reason. Jianxu Liu, Songsak Sriboonchitta, Aree Wiboonpongse, Thierry Denoeux
2021	J	`jnl`	An evidential classifier based on Dempster-Shafer theory and deep learning. CoRR Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	An evidential classifier based on Dempster-Shafer theory and deep learning. Neurocomputing Zheng Tong, Philippe Xu, Thierry Denoeux
2021	—	`conf`	Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. ISBI Ling Huang, Su Ruan, Thierry Denoeux
2021	—	`ed.`	Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings BELIEF Thierry Denoeux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon
2021	J	`jnl`	Belief function-based semi-supervised learning for brain tumor segmentation. CoRR Ling Huang, Su Ruan, Thierry Denoeux
2021	J	`jnl`	Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence. Fuzzy Sets Syst. Thierry Denoeux
2021	J	`jnl`	Clustering acoustic emission data streams with sequentially appearing clusters using mixture models. CoRR Emmanuel Ramasso, Thierry Denoeux, Gaël Chevallier
2021	J	`jnl`	Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning. IEEE Trans. Neural Networks Learn. Syst. Zhunga Liu, Linqing Huang, Kuang Zhou, Thierry Denoeux
2021	C	`conf`	Covid-19 Classification with Deep Neural Network and Belief Functions. BIBE Ling Huang, Su Ruan, Thierry Denoeux
2021	J	`jnl`	Covid-19 classification with deep neural network and belief functions. CoRR Ling Huang, Su Ruan, Thierry Denoeux
2021	—	`conf`	Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. BIBM Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen
2021	—	`conf`	Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. MLMI@MICCAI Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2021	J	`jnl`	Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. CoRR Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2021	J	`jnl`	Distributed combination of belief functions. Inf. Fusion Thierry Denoeux
2021	J	`jnl`	Evidence-based recommender system for high-entropy alloys. Nat. Comput. Sci. Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denoeux, Van-Nam Huynh, Hieu-Chi Dam
2021	—	`conf`	Evidential Segmentation of 3D PET/CT Images. BELIEF Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2021	J	`jnl`	Evidential fully convolutional network for semantic segmentation. Appl. Intell. Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	Evidential fully convolutional network for semantic segmentation. CoRR Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	Evidential segmentation of 3D PET/CT images. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2021	—	`conf`	Fusion of Evidential CNN Classifiers for Image Classification. BELIEF Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	Fusion of evidential CNN classifiers for image classification. CoRR Zheng Tong, Philippe Xu, Thierry Denoeux
2021	J	`jnl`	NN-EVCLUS: Neural network-based evidential clustering. Inf. Sci. Thierry Denoeux
2021	J	`jnl`	Partial classification in the belief function framework. Knowl. Based Syst. Liyao Ma, Thierry Denoeux
2020	J	`jnl`	An interval-valued utility theory for decision making with Dempster-Shafer belief functions. Int. J. Approx. Reason. Thierry Denoeux, Prakash P. Shenoy
2020	J	`jnl`	Belief functions induced by random fuzzy sets: Application to statistical inference. CoRR Thierry Denoeux
2020	J	`jnl`	Calibrated model-based evidential clustering using bootstrapping. Inf. Sci. Thierry Denoeux
2020	J	`jnl`	Combining clusterings in the belief function framework. Array Feng Li, Shoumei Li, Thierry Denoeux
2020	J	`jnl`	EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering. CoRR Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu, Quan Pan
2020	—	`conf`	Evidential Deep Neural Networks for Uncertain Data Classification. KSEM (2) Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux
2020	J	`jnl`	NN-EVCLUS: Neural Network-based Evidential Clustering. CoRR Thierry Denoeux
2020	—	`ch.`	Representations of Uncertainty in AI: Beyond Probability and Possibility. A Guided Tour of Artificial Intelligence Research (1) (I) Thierry Denoeux, Didier Dubois, Henri Prade
2020	—	`ch.`	Representations of Uncertainty in Artificial Intelligence: Probability and Possibility. A Guided Tour of Artificial Intelligence Research (1) (I) Thierry Denoeux, Didier Dubois, Henri Prade
2019	J	`jnl`	A new evidential Int. J. Approx. Reason. Thierry Denoeux, Orakanya Kanjanatarakul, Songsak Sriboonchitta
2019	—	`conf`	An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. ISIPTA Thierry Denoeux, Prakash P. Shenoy
2019	J	`jnl`	An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions. CoRR Thierry Denoeux, Prakash P. Shenoy
2019	J	`jnl`	BPEC: Belief-Peaks Evidential Clustering. IEEE Trans. Fuzzy Syst. Zhi-gang Su, Thierry Denoeux
2019	J	`jnl`	Calibrated model-based evidential clustering using bootstrapping. CoRR Thierry Denoeux
2019	—	`conf`	Collaborative Evidential Clustering. IFSA/NAFIPS Yixuan Qiao, Shoumei Li, Thierry Denoeux
2019	—	`conf`	ConvNet and Dempster-Shafer Theory for Object Recognition. SUM Zheng Tong, Philippe Xu, Thierry Denoeux
2019	J	`jnl`	Decision-making with belief functions: A review. Int. J. Approx. Reason. Thierry Denoeux
2019	J	`jnl`	Editorial: Opening up computer science. Array Thierry Denoeux
2019	J	`jnl`	From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain
2019	J	`jnl`	Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions. IEEE Trans. Image Process. Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2019	J	`jnl`	Logistic regression, neural networks and Dempster-Shafer theory: A new perspective. Knowl. Based Syst. Thierry Denoeux
2019	—	`conf`	Making Set-Valued Predictions in Evidential Classification: A Comparison of Different Approaches. ISIPTA Liyao Ma, Thierry Denoeux
2019	B	`conf`	Multistep Prediction using Point-Cloud Approximation of Continuous Belief Functions. FUZZ-IEEE Thierry Denoeux, Orakanya Kanjanatarakul
2019	—	`ch.`	Quality of Information Sources in Information Fusion. Information Quality in Information Fusion and Decision Making Frédéric Pichon, Didier Dubois, Thierry Denoeux
2019	—	`ed.`	Uncertainty Modelling in Data Science, SMPS 2018, Compiègne, France, 17-21 September 2018. SMPS Sébastien Destercke, Thierry Denoeux, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz
2018	—	`conf`	An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization. BELIEF Orakanya Kanjanatarakul, Siwarat Kuson, Thierry Denoeux
2018	—	`ed.`	Belief Functions: Theory and Applications - 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings BELIEF Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin
2018	J	`jnl`	Decision-Making with Belief Functions: a Review. CoRR Thierry Denoeux
2018	J	`jnl`	Evaluating and Comparing Soft Partitions: An Approach Based on Dempster-Shafer Theory. IEEE Trans. Fuzzy Syst. Thierry Denoeux, Shoumei Li, Songsak Sriboonchitta
2018	J	`jnl`	Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules. Knowl. Based Syst. Zhi-gang Su, Thierry Denoeux, Yong-sheng Hao, Ming Zhao
2018	J	`jnl`	Frequency-calibrated belief functions: Review and new insights. Int. J. Approx. Reason. Thierry Denoeux, Shoumei Li
2018	J	`jnl`	Identification of elastic properties in the belief function framework. Int. J. Approx. Reason. Liqi Sui, Pierre Feissel, Thierry Denoeux
2018	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings IUKM Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux
2018	—	`conf`	Logistic Regression Revisited: Belief Function Analysis. BELIEF Thierry Denoeux
2018	J	`jnl`	Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective. CoRR Thierry Denoeux
2018	—	`ch.`	Quantifying Predictive Uncertainty Using Belief Functions: Different Approaches and Practical Construction. Predictive Econometrics and Big Data Thierry Denoeux
2018	J	`jnl`	Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Trans. Biomed. Eng. Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2018	J	`jnl`	k-CEVCLUS: Constrained evidential clustering of large dissimilarity data. Knowl. Based Syst. Feng Li, Shoumei Li, Thierry Denoeux
2017	J	`jnl`	A double-copula stochastic frontier model with dependent error components and correction for sample selection. Int. J. Approx. Reason. Songsak Sriboonchitta, Jianxu Liu, Aree Wiboonpongse, Thierry Denoeux
2017	B	`conf`	Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images. ICIP Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera
2017	C	`conf`	Constrained interval-valued linear regression model. FUSION Feng Li, Shoumei Li, Nana Tang, Thierry Denoeux
2017	—	`conf`	Distributed data fusion in the dempster-shafer framework. SoSE Orakanya Kanjanatarakul, Thierry Denoeux
2017	J	`jnl`	Evidential grammars: A compositional approach for scene understanding. Application to multimodal street data. Appl. Soft Comput. Jean-Baptiste Bordes, Franck Davoine, Philippe Xu, Thierry Denoeux
2017	J	`jnl`	Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression. Adv. Data Anal. Classif. Benjamin Quost, Thierry Denoeux, Shoumei Li
2017	—	`conf`	Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. ISBI Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2016	J	`jnl`	40 years of Dempster-Shafer theory. Int. J. Approx. Reason. Thierry Denoeux
2016	J	`jnl`	A Hybrid Belief Rule-Based Classification System Based on Uncertain Training Data and Expert Knowledge. IEEE Trans. Syst. Man Cybern. Syst. Lianmeng Jiao, Thierry Denoeux, Quan Pan
2016	—	`conf`	Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering. SMPS Thierry Denoeux, Orakanya Kanjanatarakul
2016	J	`jnl`	Clustering and classification of fuzzy data using the fuzzy EM algorithm. Fuzzy Sets Syst. Benjamin Quost, Thierry Denoeux
2016	J	`jnl`	Dissimilarity Metric Learning in the Belief Function Framework. IEEE Trans. Fuzzy Syst. Chunfeng Lian, Su Ruan, Thierry Denoeux
2016	J	`jnl`	Editing training data for multi-label classification with the k-nearest neighbor rule. Pattern Anal. Appl. Sawsan Kanj, Fahed Abdallah, Thierry Denoeux, Kifah Tout
2016	—	`conf`	Evidential Clustering: A Review. IUKM Thierry Denoeux, Orakanya Kanjanatarakul
2016	J	`jnl`	Evidential calibration of binary SVM classifiers. Int. J. Approx. Reason. Philippe Xu, Franck Davoine, Hongbin Zha, Thierry Denoeux
2016	J	`jnl`	Evidential clustering of large dissimilarity data. Knowl. Based Syst. Thierry Denoeux, Songsak Sriboonchitta, Orakanya Kanjanatarakul
2016	—	`conf`	Identification of Elastic Properties Based on Belief Function Inference. BELIEF Liqi Sui, Pierre Feissel, Thierry Denoeux
2016	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 5th International Symposium, IUKM 2016, Da Nang, Vietnam, November 30 - December 2, 2016, Proceedings IUKM Van-Nam Huynh, Masahiro Inuiguchi, Bac Le, Bao Nguyen Le, Thierry Denoeux
2016	—	`conf`	Joint Feature Transformation and Selection Based on Dempster-Shafer Theory. IPMU (1) Chunfeng Lian, Su Ruan, Thierry Denoeux
2016	J	`jnl`	Modelling and predicting partial orders from pairwise belief functions. Soft Comput. Marie-Hélène Masson, Sébastien Destercke, Thierry Denoeux
2016	J	`jnl`	Multimodal information fusion for urban scene understanding. Mach. Vis. Appl. Philippe Xu, Franck Davoine, Jean-Baptiste Bordes, Huijing Zhao, Thierry Denoeux
2016	J	`jnl`	Prediction of future observations using belief functions: A likelihood-based approach. Int. J. Approx. Reason. Orakanya Kanjanatarakul, Thierry Denoeux, Songsak Sriboonchitta
2016	—	`conf`	Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images. MICCAI (2) Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2016	J	`jnl`	Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction. Medical Image Anal. Chunfeng Lian, Su Ruan, Thierry Denoeux, Fabrice Jardin, Pierre Vera
2016	—	`conf`	k-EVCLUS: Clustering Large Dissimilarity Data in the Belief Function Framework. BELIEF Orakanya Kanjanatarakul, Songsak Sriboonchitta, Thierry Denoeux
2015	J	`jnl`	An evidential classifier based on feature selection and two-step classification strategy. Pattern Recognit. Chunfeng Lian, Su Ruan, Thierry Denoeux
2015	J	`jnl`	Belief rule-based classification system: Extension of FRBCS in belief functions framework. Inf. Sci. Lianmeng Jiao, Quan Pan, Thierry Denoeux, Yan Liang, Xiaoxue Feng
2015	—	`conf`	Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. MICCAI (3) Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2015	J	`jnl`	EK-NNclus: A clustering procedure based on the evidential K-nearest neighbor rule. Knowl. Based Syst. Thierry Denoeux, Orakanya Kanjanatarakul, Songsak Sriboonchitta
2015	B	`conf`	Estimating energy consumption of a PHEV using vehicle and on-board navigation data. Intelligent Vehicles Symposium Abdel-Djalil Ourabah, Benjamin Quost, Atef Gayed, Thierry Denoeux
2015	—	`ch.`	Estimation and Prediction Using Belief Functions: Application to Stochastic Frontier Analysis. Econometrics of Risk Orakanya Kanjanatarakul, Nachatchapong Kaewsompong, Songsak Sriboonchitta, Thierry Denoeux
2015	C	`conf`	Evidential Editing K-Nearest Neighbor Classifier. ECSQARU Lianmeng Jiao, Thierry Denoeux, Quan Pan
2015	C	`conf`	Evidential multinomial logistic regression for multiclass classifier calibration. FUSION Philippe Xu, Franck Davoine, Thierry Denoeux
2015	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 4th International Symposium, IUKM 2015, Nha Trang, Vietnam, October 15-17, 2015, Proceedings IUKM Van-Nam Huynh, Masahiro Inuiguchi, Thierry Denoeux
2015	J	`jnl`	Interval-Valued Linear Model. Int. J. Comput. Intell. Syst. Xun Wang, Shoumei Li, Thierry Denoeux
2015	J	`jnl`	Modeling dependence between error components of the stochastic frontier model using copula: Application to intercrop coffee production in Northern Thailand. Int. J. Approx. Reason. Aree Wiboonpongse, Jianxu Liu, Songsak Sriboonchitta, Thierry Denoeux
2015	—	`conf`	Outcome prediction in tumour therapy based on Dempster-Shafer theory. ISBI Chunfeng Lian, Su Ruan, Thierry Denoeux, Pierre Vera
2015	C	`ed.`	Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings ECSQARU Sébastien Destercke, Thierry Denoeux
2015	—	`ch.`	The Classifier Chain Generalized Maximum Entropy Model for Multi-label Choice Problems. Econometrics of Risk Supanika Leurcharusmee, Jirakom Sirisrisakulchai, Songsak Sriboonchitta, Thierry Denoeux
2014	—	`conf`	Application of E 2 M Decision Trees to Rubber Quality Prediction. IPMU (1) Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux
2014	J	`jnl`	CEVCLUS: evidential clustering with instance-level constraints for relational data. Soft Comput. Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2014	J	`jnl`	Combining statistical and expert evidence using belief functions: Application to centennial sea level estimation taking into account climate change. Int. J. Approx. Reason. Nadia Ben Abdallah, Nassima Mouhous Voyneau, Thierry Denoeux
2014	—	`conf`	Evidential Logistic Regression for Binary SVM Classifier Calibration. Belief Functions Philippe Xu, Franck Davoine, Thierry Denoeux
2014	A	`conf`	Evidential combination of pedestrian detectors. BMVC Philippe Xu, Franck Davoine, Thierry Denoeux
2014	B	`conf`	Evidential distributed dynamic map for cooperative perception in VANets. Intelligent Vehicles Symposium Nicole El Zoghby, Véronique Cherfaoui, Thierry Denoeux
2014	J	`jnl`	Forecasting using belief functions: An application to marketing econometrics. Int. J. Approx. Reason. Orakanya Kanjanatarakul, Songsak Sriboonchitta, Thierry Denoeux
2014	J	`jnl`	Fusion d'informations pour la compréhension de scènes. Traitement du Signal Philippe Xu, Franck Davoine, Jean-Baptiste Bordes, Thierry Denoeux
2014	J	`jnl`	Fusion of multi-tracer PET images for dose painting. Medical Image Anal. Benoît Lelandais, Su Ruan, Thierry Denoeux, Pierre Vera, Isabelle Gardin
2014	C	`conf`	Fusion of pairwise nearest-neighbor classifiers based on pairwise-weighted distance metric and Dempster-Shafer theory. FUSION Lianmeng Jiao, Thierry Denoeux, Quan Pan
2014	—	`ed.`	Knowledge and Systems Engineering - Proceedings of the Fifth International Conference KSE 2013, Volume 2 KSE (2) Van-Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh-Cuong Le, Son Bao Pham
2014	—	`ed.`	Knowledge and Systems Engineering - Proceedings of the Fifth International Conference, KSE 2013, Volume 1, Hanoi, Vietnam, 17-19 October, 2013 KSE (1) Van-Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh-Cuong Le, Son Bao Pham
2014	J	`jnl`	Likelihood-based belief function: Justification and some extensions to low-quality data. Int. J. Approx. Reason. Thierry Denoeux
2014	J	`jnl`	Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions. IEEE Trans. Fuzzy Syst. Emmanuel Ramasso, Thierry Denoeux
2014	J	`jnl`	Optimal Object Association in the Dempster-Shafer Framework. IEEE Trans. Cybern. Thierry Denoeux, Nicole El Zoghby, Véronique Cherfaoui, Antoine Jouglet
2014	—	`conf`	Predicting Stock Returns in the Capital Asset Pricing Model Using Quantile Regression and Belief Functions. Belief Functions Kittawit Autchariyapanitkul, Somsak Chanaim, Songsak Sriboonchitta, Thierry Denoeux
2014	J	`jnl`	Rejoinder on "Likelihood-based belief function: Justification and some extensions to low-quality data". Int. J. Approx. Reason. Thierry Denoeux
2014	J	`jnl`	Special issue on imprecision in statistical data analysis. Comput. Stat. Data Anal. Ana Colubi, Thierry Denoeux
2014	—	`conf`	The Evidence-Theoretic k-NN Rule for Rank-Ordered Data: Application to Predict an Individual's Source of Loan. Belief Functions Supanika Leurcharusmee, Peerapat Jatukannyaprateep, Songsak Sriboonchitta, Thierry Denoeux
2014	—	`conf`	Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning. Belief Functions Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux
2013	—	`conf`	Evidential Grammars for Image Interpretation - Application to Multimodal Traffic Scene Understanding. IUKM Jean-Baptiste Bordes, Franck Davoine, Philippe Xu, Thierry Denoeux
2013	Misc	`conf`	Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding. MVA Philippe Xu, Franck Davoine, Jean-Baptiste Bordes, Huijing Zhao, Thierry Denoeux
2013	—	`conf`	Learning Decision Trees from Uncertain Data with an Evidential EM Approach. ICMLA (1) Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux
2013	J	`jnl`	Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework. IEEE Trans. Knowl. Data Eng. Thierry Denoeux
2013	C	`conf`	Optimal object association from pairwise evidential mass functions. FUSION Nicole El Zoghby, Véronique Cherfaoui, Thierry Denoeux
2013	C	`conf`	Using Dempster-Shafer theory to model uncertainty in climate change and environmental impact assessments. FUSION Nadia Ben Abdallah, Nassima Mouhous Voyneau, Thierry Denoeux
2012	—	`ed.`	Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France, 9-11 May 2012 Belief Functions Thierry Denoeux, Marie-Hélène Masson
2012	J	`jnl`	CECM: Constrained evidential C-means algorithm. Comput. Stat. Data Anal. Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2012	—	`conf`	Classification Trees Based on Belief Functions. Belief Functions Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux
2012	—	`conf`	Combining Statistical and Expert Evidence within the D-S Framework: Application to Hydrological Return Level Estimation. Belief Functions Nadia Ben Abdallah, Nassima Mouhous Voyneau, Thierry Denoeux
2012	—	`conf`	Conditioning in Dempster-Shafer Theory: Prediction vs. Revision. Belief Functions Didier Dubois, Thierry Denoeux
2012	—	`conf`	Constructing Rule-Based Models Using the Belief Functions Framework. IPMU (3) Rui Jorge Almeida, Thierry Denoeux, Uzay Kaymak
2012	—	`conf`	Distributed Data Fusion for Detecting Sybil Attacks in VANETs. Belief Functions Nicole El Zoghby, Véronique Cherfaoui, Bertrand Ducourthial, Thierry Denoeux
2012	—	`conf`	Evidential Multi-label Classification Using the Random k-Label Sets Approach. Belief Functions Sawsan Kanj, Fahed Abdallah, Thierry Denoeux
2012	J	`jnl`	Evidential reasoning in large partially ordered sets - Application to multi-label classification, ensemble clustering and preference aggregation. Ann. Oper. Res. Thierry Denoeux, Marie-Hélène Masson
2012	J	`jnl`	Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Anal. Appl. Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2012	J	`jnl`	Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis. Soft Comput. Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin
2012	—	`conf`	Partially-Hidden Markov Models. Belief Functions Emmanuel Ramasso, Thierry Denoeux, Noureddine Zerhouni
2012	C	`conf`	Purifying training data to improve performance of multi-label classification algorithms. FUSION Sawsan Kanj, Fahed Abdallah, Thierry Denoeux
2012	—	`conf`	Ranking from Pairwise Comparisons in the Belief Functions Framework. Belief Functions Marie-Hélène Masson, Thierry Denoeux
2012	J	`jnl`	Relevance and truthfulness in information correction and fusion. Int. J. Approx. Reason. Frédéric Pichon, Didier Dubois, Thierry Denoeux
2012	C	`conf`	Self-stabilizing Distributed Data Fusion. SSS Bertrand Ducourthial, Véronique Cherfaoui, Thierry Denoeux
2011	J	`jnl`	A Dependent Multilabel Classification Method Derived from the k-Nearest Neighbor Rule. EURASIP J. Adv. Signal Process. Zoulficar Younes, Fahed Abdallah, Thierry Denoeux, Hichem Snoussi
2011	J	`jnl`	A Multiple-Hypothesis Map-Matching Method Suitable for Weighted and Box-Shaped State Estimation for Localization. IEEE Trans. Intell. Transp. Syst. Fahed Abdallah, Ghalia Nassreddine, Thierry Denoeux
2011	—	`conf`	CEVCLUS: Constrained evidential clustering of proximity data. EUSFLAT Conf. Violaine Antoine, Benjamin Quost, Mylène Masson, Thierry Denoeux
2011	J	`jnl`	Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules. Int. J. Approx. Reason. Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2011	J	`jnl`	Ensemble clustering in the belief functions framework. Int. J. Approx. Reason. Marie-Hélène Masson, Thierry Denoeux
2011	J	`jnl`	Maximum likelihood estimation from fuzzy data using the EM algorithm. Fuzzy Sets Syst. Thierry Denoeux
2011	—	`conf`	Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux
2011	—	`conf`	Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device. NL-MUA Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin
2010	B	`conf`	CECM: Adding pairwise constraints to evidential clustering. FUZZ-IEEE Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2010	—	`conf`	Clustering Fuzzy Data Using the Fuzzy EM Algorithm. SUM Benjamin Quost, Thierry Denoeux
2010	—	`conf`	Dempster-Shafer Reasoning in Large Partially Ordered Sets: Applications in Machine Learning. IUM Thierry Denoeux, Marie-Hélène Masson
2010	C	`conf`	Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels. IPMU Zoulficar Younes, Fahed Abdallah, Thierry Denoeux
2010	J	`jnl`	Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Eng. Appl. Artif. Intell. Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin
2010	B	`conf`	Fuzzy multi-label learning under veristic variables. FUZZ-IEEE Zoulficar Younes, Fahed Abdallah, Thierry Denoeux
2010	—	`conf`	Maximum Likelihood from Evidential Data: An Extension of the EM Algorithm. SMPS Thierry Denoeux
2010	J	`jnl`	Representing uncertainty on set-valued variables using belief functions. Artif. Intell. Thierry Denoeux, Zoulficar Younes, Fahed Abdallah
2010	J	`jnl`	State Estimation Using Interval Analysis and Belief-Function Theory: Application to Dynamic Vehicle Localization. IEEE Trans. Syst. Man Cybern. Part B Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux
2010	—	`conf`	Statistical Inference with Belief Functions and Possibility Measures: A Discussion of Basic Assumptions. SMPS Didier Dubois, Thierry Denoeux
2010	J	`jnl`	The Unnormalized Dempster's Rule of Combination: A New Justification from the Least Commitment Principle and Some Extensions. J. Autom. Reason. Frédéric Pichon, Thierry Denoeux
2010	C	`conf`	Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects. KSEM Thierry Denoeux
2009	C	`conf`	A state estimation method for multiple model systems using belief function theory. FUSION Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux
2009	—	`conf`	An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification. SUM Zoulficar Younes, Fahed Abdallah, Thierry Denoeux
2009	C	`conf`	Belief Functions and Cluster Ensembles. ECSQARU Marie-Hélène Masson, Thierry Denoeux
2009	J	`jnl`	Decision fusion for postal address recognition using belief functions. Expert Syst. Appl. David Mercier, Genevieve Cron, Thierry Denoeux, Marie-Hélène Masson
2009	J	`jnl`	Extending stochastic ordering to belief functions on the real line. Inf. Sci. Thierry Denoeux
2009	—	`conf`	Fuzzy Modelling of Sensor Data for the Estimation of an Origin-Destination Matrix. IFSA/EUSFLAT Conf. Krystyna Biletska, Sophie Midenet, Marie-Hélène Masson, Thierry Denoeux
2009	—	`conf`	Learning from data with uncertain labels by boosting credal classifiers. KDD Workshop on Knowledge Discovery from Uncertain Data Benjamin Quost, Thierry Denoeux
2009	J	`jnl`	Learning from partially supervised data using mixture models and belief functions. Pattern Recognit. Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2009	B	`conf`	Multisensor data fusion for OD matrix estimation. SMC Krystyna Biletska, Marie-Hélène Masson, Sophie Midenet, Thierry Denoeux
2009	—	`conf`	Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. ICANN (2) Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2009	B	`conf`	Partially-supervised learning in Independent Factor Analysis. ESANN Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux
2009	J	`jnl`	RECM: Relational evidential c-means algorithm. Pattern Recognit. Lett. Marie-Hélène Masson, Thierry Denoeux
2009	—	`conf`	Short-time OD matrix estimation for a complex junction using fuzzy-timed high-level petri nets. ITSC Krystyna Biletska, Marie-Hélène Masson, Sophie Midenet, Thierry Denoeux
2008	—	`ch.`	A Classic Works of the Dempster-Shafer Theory of Belief Functions Thierry Denoeux
2008	Misc	`conf`	A New Justification of the Unnormalized Dempster's Rule of Combination from the Least Commitment Principle. FLAIRS Frédéric Pichon, Thierry Denoeux
2008	J	`jnl`	Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence. Artif. Intell. Thierry Denoeux
2008	J	`jnl`	Constructing consonant belief functions from sample data using confidence sets of pignistic probabilities. Int. J. Approx. Reason. Astride Aregui, Thierry Denoeux
2008	C	`conf`	Distributed data fusion: application to confidence management in vehicular networks. FUSION Véronique Cherfaoui, Thierry Denoeux, Zohra Leila Cherfi
2008	J	`jnl`	ECM: An evidential version of the fuzzy c. Pattern Recognit. Marie-Hélène Masson, Thierry Denoeux
2008	C	`conf`	Map matching algorithm using belief function theory. FUSION Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux
2008	—	`conf`	Mixture Model Estimation with Soft Labels. SMPS Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2008	—	`conf`	Multi-label classification algorithm derived from K-nearest neighbor rule with label dependencies. EUSIPCO Zoulficar Younes, Fahed Abdallah, Thierry Denoeux
2008	C	`conf`	Refined classifier combination using belief functions. FUSION Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2008	J	`jnl`	Refined modeling of sensor reliability in the belief function framework using contextual discounting. Inf. Fusion David Mercier, Benjamin Quost, Thierry Denoeux
2008	J	`jnl`	Special issue in memory of Philippe Smets (1938-2005). Int. J. Approx. Reason. Thierry Denoeux
2007	C	`conf`	Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities. ECSQARU Astride Aregui, Thierry Denoeux
2007	C	`conf`	Fusion of one-class classifiers in the belief function framework. FUSION Astride Aregui, Thierry Denoeux
2007	C	`conf`	On Latent Belief Structures. ECSQARU Frédéric Pichon, Thierry Denoeux
2007	J	`jnl`	Pairwise classifier combination using belief functions. Pattern Recognit. Lett. Benjamin Quost, Thierry Denoeux, Marie-Hélène Masson
2007	C	`conf`	Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments. ECSQARU Thierry Denoeux
2006	J	`jnl`	Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches. IEEE Trans. Syst. Man Cybern. Part B Thierry Denoeux, Philippe Smets
2006	J	`jnl`	Constructing belief functions from sample data using multinomial confidence regions. Int. J. Approx. Reason. Thierry Denoeux
2006	J	`jnl`	Fuzzy multidimensional scaling. Comput. Stat. Data Anal. Pierre-Alexandre Hébert, Marie-Hélène Masson, Thierry Denoeux
2006	C	`conf`	General Correction Mechanisms for Weakening or Reinforcing Belief Functions. FUSION David Mercier, Thierry Denoeux, Marie-Hélène Masson
2006	J	`jnl`	In Memoriam: Philippe Smets (1938-2005). Fuzzy Sets Syst. Hugues Bersini, Thierry Denoeux, Didier Dubois, Henri Prade
2006	J	`jnl`	Inferring a possibility distribution from empirical data. Fuzzy Sets Syst. Marie-Hélène Masson, Thierry Denoeux
2006	C	`conf`	Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system. FUSION Alexandra Debiolles, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2006	J	`jnl`	Philippe Smets (1938-2005). Int. J. Approx. Reason. Hugues Bersini, Thierry Denoeux, Didier Dubois, Henri Prade
2006	J	`jnl`	Risk assessment based on weak information using belief functions: a case study in water treatment. IEEE Trans. Syst. Man Cybern. Syst. Sabrina Démotier, Paul Walter Schön, Thierry Denoeux
2006	C	`conf`	The cautious rule of combination for belief functions and some extensions. FUSION Thierry Denoeux
2005	C	`conf`	Contextual Discounting of Belief Functions. ECSQARU David Mercier, Benjamin Quost, Thierry Denoeux
2005	J	`jnl`	Editorial. Int. J. Approx. Reason. Thierry Denoeux, Piero P. Bonissone
2005	J	`jnl`	Nonparametric rank-based statistics and significance tests for fuzzy data. Fuzzy Sets Syst. Thierry Denoeux, Marie-Hélène Masson, Pierre-Alexandre Hébert
2005	J	`jnl`	R. P. Srivastava and T. J. Mock, Belief Functions in Business Decisions, in Studies in Fuzziness and Soft Computing, vol. 88, Physica-Verlag, Heidelberg (2002) ISBN 3-7908-1451-2 (345pp.) Fuzzy Sets Syst. Thierry Denoeux
2004	J	`jnl`	Clustering interval-valued proximity data using belief functions. Pattern Recognit. Lett. Marie-Hélène Masson, Thierry Denoeux
2004	J	`jnl`	EVCLUS: evidential clustering of proximity data. IEEE Trans. Syst. Man Cybern. Part B Thierry Denoeux, Marie-Hélène Masson
2004	J	`jnl`	Nonparametric regression analysis of uncertain and imprecise data using belief functions. Int. J. Approx. Reason. Simon Petit-Renaud, Thierry Denoeux
2004	J	`jnl`	Principal component analysis of fuzzy data using autoassociative neural networks. IEEE Trans. Fuzzy Syst. Thierry Denoeux, Marie-Hélène Masson
2004	—	`conf`	Recycling experiments for sludge monitoring in waste water treatment. SMC (2) Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet
2003	B	`conf`	A new approach to assess risk in water treatment using the belief function framework. SMC Sabrina Démotier, Paul Walter Schön, Thierry Denoeux, Khaled Odeh
2003	J	`jnl`	Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Inf. Fusion Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger
2003	J	`jnl`	Resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Inf. Fusion Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger
2003	C	`conf`	Risk Assessment in Drinking Water Production Using Belief Functions. ECSQARU Sabrina Démotier, Thierry Denoeux, Paul Walter Schön
2002	J	`jnl`	Approximating the combination of belief functions using the fast Mo"bius transform in a coarsened frame. Int. J. Approx. Reason. Thierry Denoeux, Amel Ben Yaghlane
2002	J	`jnl`	Multidimensional scaling of fuzzy dissimilarity data. Fuzzy Sets Syst. Marie-Hélène Masson, Thierry Denoeux
2001	J	`jnl`	A neural network-based software sensor for coagulation control in a water treatment plant. Intell. Data Anal. Nicolas Valentin, Thierry Denoeux
2001	C	`conf`	Coarsening Approximations of Belief Functions. ECSQARU Amel Ben Yaghlane, Thierry Denoeux, Khaled Mellouli
2001	J	`jnl`	Handling possibilistic labels in pattern classification using evidential reasoning. Fuzzy Sets Syst. Thierry Denoeux, Lalla Merieme Zouhal
2001	J	`jnl`	Inner and Outer Approximation of Belief Structures Using a Hierarchical Clustering Approach. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Thierry Denoeux
2001	B	`conf`	Likelihood-based Vs Distance-based Evidential Classifiers. FUZZ-IEEE Patrick Vannoorenberghe, Thierry Denoeux
2000	J	`jnl`	A neural network classifier based on Dempster-Shafer theory. IEEE Trans. Syst. Man Cybern. Part A Thierry Denoeux
2000	B	`conf`	Induction of decision trees from partially classified data using belief functions. SMC Thierry Denoeux, M. Skarstein Bjanger
2000	J	`jnl`	Modeling vague beliefs using fuzzy-valued belief structures. Fuzzy Sets Syst. Thierry Denoeux
2000	J	`jnl`	Multidimensional scaling of interval-valued dissimilarity data. Pattern Recognit. Lett. Thierry Denoeux, Marie-Hélène Masson
1999	B	`conf`	An hybrid neural network based system for optimization of coagulant dosing in a water treatment plant. IJCNN Nicolas Valentin, Thierry Denoeux, F. Fotoohi
1999	—	`conf`	Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach. ESCQARU Simon Petit-Renaud, Thierry Denoeux
1999	J	`jnl`	Reasoning with imprecise belief structures. Int. J. Approx. Reason. Thierry Denoeux
1999	—	`conf`	State Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory. ESCQARU Michèle Rombaut, Iman Jarkass, Thierry Denoeux
1998	J	`jnl`	An evidence-theoretic k-NN rule with parameter optimization. IEEE Trans. Syst. Man Cybern. Part C Lalla Merieme Zouhal, Thierry Denoeux
1997	J	`jnl`	Analysis of evidence-theoretic decision rules for pattern classification. Pattern Recognit. Thierry Denoeux
1997	—	`conf`	Function approximation in the framework of evidence theory: a connectionist approach. ICNN Thierry Denoeux
1996	J	`jnl`	Training MLPs layer by layer using an objective function for internal representations. Neural Networks Régis Lengellé, Thierry Denoeux
1995	J	`jnl`	A k-nearest neighbor classification rule based on Dempster-Shafer theory. IEEE Trans. Syst. Man Cybern. Thierry Denoeux
1995	C	`conf`	An Adaptive k-NN Rule Based on Dempster-Shafer Theory. CAIP Lalla Merieme Zouhal, Thierry Denoeux
1995	J	`jnl`	Analysis of Rainfall Forecasting using Neural Networks. Neural Comput. Appl. Thierry Denoeux, P. Rizand
1995	—	`conf`	Comparison of dynamic feature map models for environmental monitoring. ICNN T. Trautmann, Thierry Denoeux
1995	B	`conf`	Performance analysis of a MLP weight initialization algorithm. ESANN Mohamed Karouia, Régis Lengellé, Thierry Denoeux
1993	J	`jnl`	Initializing back propagation networks with prototypes. Neural Networks Thierry Denoeux, Régis Lengellé