Thierry Denoeux

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 121

Top Venues

CoRR

Int. J. Approx. Reason.

BELIEF

Knowl. Based Syst.

Publications

Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR (2024)
Thierry Denoeux
Combination of dependent and partially reliable Gaussian random fuzzy numbers. Inf. Sci. 681 (2024)
Thierry Denoeux
Uncertainty Quantification in Regression Neural Networks Using Likelihood-Based Belief Functions. BELIEF (2024)
Thierry Denoeux
Combination of Dependent Gaussian Random Fuzzy Numbers. BELIEF (2024)
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
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. 171 (2024)
Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF (2024)
Thierry Denoeux
Uncertainty quantification in logistic regression using random fuzzy sets and belief functions. Int. J. Approx. Reason. 168 (2024)
Ying Lv, Bofeng Zhang, Xiaodong Yue, Thierry Denoeux, Shan Yue
Selecting reliable instances based on evidence theory for transfer learning. Expert Syst. Appl. 250 (2024)
Thierry Denoeux
Quantifying Prediction Uncertainty in Regression Using Random Fuzzy Sets: The ENNreg Model. IEEE Trans. Fuzzy Syst. 31 (10) (2023)
Andrea Campagner, Davide Ciucci, Thierry Denoeux
A general framework for evaluating and comparing soft clusterings. Inf. Sci. 623 (2023)
Thierry Denoeux
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: General framework and practical models. Fuzzy Sets Syst. 453 (2023)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation. CoRR (2023)
Thierry Denoeux
Belief Functions on the Real Line Defined by Transformed Gaussian Random Fuzzy Numbers. FUZZ (2023)
Ling Huang, Su Ruan, Thierry Denoeux
Application of belief functions to medical image segmentation: A review. Inf. Fusion 91 (2023)
Andrea Campagner, Davide Ciucci, Thierry Denoeux
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering. Int. J. Approx. Reason. 162 (2023)
Ling Huang, Su Ruan, Thierry Denoeux
Semi-supervised multiple evidence fusion for brain tumor segmentation. Neurocomputing 535 (2023)
Thierry Denoeux
Parametric families of continuous belief functions based on generalized Gaussian random fuzzy numbers. Fuzzy Sets Syst. 471 (2023)
John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk
Glenn Shafer - A short biography. Int. J. Approx. Reason. 141 (2022)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. CoRR (2022)
Andrea Campagner, Davide Ciucci, Thierry Denoeux
Belief functions and rough sets: Survey and new insights. Int. J. Approx. Reason. 143 (2022)
Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux
Stable Clustering Ensemble Based on Evidence Theory. ICIP (2022)
Andrea Campagner, Davide Ciucci, Thierry Denoeux
A Distributional Approach for Soft Clustering Comparison and Evaluation. BELIEF (2022)
Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
Evidence fusion with contextual discounting for multi-modality medical image segmentation. CoRR (2022)
Andrea Campagner, Davide Ciucci, Thierry Denoeux
A Distributional Approach for Soft Clustering Comparison and Evaluation. CoRR (2022)
John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk
Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer. Int. J. Approx. Reason. 141 (2022)
Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux
Trusted Multi-View Deep Learning with Opinion Aggregation. AAAI (2022)
Thierry Denoeux
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. BELIEF (2022)
Thierry Denoeux
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models. CoRR (2022)
Thierry Denoeux
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. CoRR (2022)
Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu, Quan Pan
EGMM: An evidential version of the Gaussian mixture model for clustering. Appl. Soft Comput. 129 (2022)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. Int. J. Approx. Reason. 149 (2022)
Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. MICCAI (5) (2022)
Zheng Tong, Philippe Xu, Thierry Denoeux
Fusion of evidential CNN classifiers for image classification. CoRR (2021)
Emmanuel Ramasso, Thierry Denoeux, Gaël Chevallier
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models. CoRR (2021)
Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. MLMI@MICCAI (2021)
Zhi-gang Su, Qinghua Hu, Thierry Denoeux
A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. IEEE Trans. Fuzzy Syst. 29 (8) (2021)
Liyao Ma, Thierry Denoeux
Partial classification in the belief function framework. Knowl. Based Syst. 214 (2021)
Ling Huang, Su Ruan, Thierry Denoeux
Covid-19 classification with deep neural network and belief functions. CoRR (2021)
Zheng Tong, Philippe Xu, Thierry Denoeux
An evidential classifier based on Dempster-Shafer theory and deep learning. Neurocomputing 450 (2021)
Ling Huang, Su Ruan, Thierry Denoeux
Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. ISBI (2021)
Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen
Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. BIBM (2021)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Evidential Segmentation of 3D PET/CT Images. BELIEF (2021)
Thierry Denoeux
Distributed combination of belief functions. Inf. Fusion 65 (2021)
Zhunga Liu, Linqing Huang, Kuang Zhou, Thierry Denoeux
Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
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
Evidence-based recommender system for high-entropy alloys. Nat. Comput. Sci. 1 (7) (2021)
Thierry Denoeux
Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence. Fuzzy Sets Syst. 424 (2021)
Zheng Tong, Philippe Xu, Thierry Denoeux
Evidential fully convolutional network for semantic segmentation. Appl. Intell. 51 (9) (2021)
Zheng Tong, Philippe Xu, Thierry Denoeux
An evidential classifier based on Dempster-Shafer theory and deep learning. CoRR (2021)
Zheng Tong, Philippe Xu, Thierry Denoeux
Evidential fully convolutional network for semantic segmentation. CoRR (2021)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Evidential segmentation of 3D PET/CT images. CoRR (2021)
Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. CoRR (2021)
Ling Huang, Su Ruan, Thierry Denoeux
Belief function-based semi-supervised learning for brain tumor segmentation. CoRR (2021)
Zheng Tong, Philippe Xu, Thierry Denoeux
Fusion of Evidential CNN Classifiers for Image Classification. BELIEF (2021)
Jianxu Liu, Songsak Sriboonchitta, Aree Wiboonpongse, Thierry Denoeux
A trivariate Gaussian copula stochastic frontier model with sample selection. Int. J. Approx. Reason. 137 (2021)
Thierry Denoeux
NN-EVCLUS: Neural network-based evidential clustering. Inf. Sci. 572 (2021)
Ling Huang, Su Ruan, Thierry Denoeux
Covid-19 Classification with Deep Neural Network and Belief Functions. BIBE (2021)
Thierry Denoeux
NN-EVCLUS: Neural Network-based Evidential Clustering. CoRR (2020)
Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu, Quan Pan
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering. CoRR (2020)
Thierry Denoeux
Belief functions induced by random fuzzy sets: Application to statistical inference. CoRR (2020)
Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux
Evidential Deep Neural Networks for Uncertain Data Classification. KSEM (2) (2020)
Thierry Denoeux
Calibrated model-based evidential clustering using bootstrapping. Inf. Sci. 528 (2020)
Thierry Denoeux, Prakash P. Shenoy
An interval-valued utility theory for decision making with Dempster-Shafer belief functions. Int. J. Approx. Reason. 124 (2020)
Feng Li, Shoumei Li, Thierry Denoeux
Combining clusterings in the belief function framework. Array 6 (2020)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions. IEEE Trans. Image Process. 28 (2) (2019)
Thierry Denoeux, Orakanya Kanjanatarakul
Multistep Prediction using Point-Cloud Approximation of Continuous Belief Functions. FUZZ-IEEE (2019)
Liyao Ma, Thierry Denoeux
Making Set-Valued Predictions in Evidential Classification: A Comparison of Different Approaches. ISIPTA (2019)
Thierry Denoeux, Prakash P. Shenoy
An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. ISIPTA (2019)
Zhi-gang Su, Thierry Denoeux
BPEC: Belief-Peaks Evidential Clustering. IEEE Trans. Fuzzy Syst. 27 (1) (2019)
Thierry Denoeux
Decision-making with belief functions: A review. Int. J. Approx. Reason. 109 (2019)
Thierry Denoeux
Calibrated model-based evidential clustering using bootstrapping. CoRR (2019)
Thierry Denoeux, Orakanya Kanjanatarakul, Songsak Sriboonchitta
-nearest neighbor rule based on contextual discounting with partially supervised learning. Int. J. Approx. Reason. 113 (2019)
Thierry Denoeux, Prakash P. Shenoy
An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions. CoRR (2019)
Thierry Denoeux
Logistic regression, neural networks and Dempster-Shafer theory: A new perspective. Knowl. Based Syst. 176 (2019)
Yixuan Qiao, Shoumei Li, Thierry Denoeux
Collaborative Evidential Clustering. IFSA/NAFIPS (2019)
Thierry Denoeux
Editorial: Opening up computer science. Array (2019)
Zheng Tong, Philippe Xu, Thierry Denoeux
ConvNet and Dempster-Shafer Theory for Object Recognition. SUM (2019)
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
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR (2019)
Liqi Sui, Pierre Feissel, Thierry Denoeux
Identification of elastic properties in the belief function framework. Int. J. Approx. Reason. 101 (2018)
Thierry Denoeux
Decision-Making with Belief Functions: a Review. CoRR (2018)
Thierry Denoeux
Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective. CoRR (2018)
Feng Li, Shoumei Li, Thierry Denoeux
k-CEVCLUS: Constrained evidential clustering of large dissimilarity data. Knowl. Based Syst. 142 (2018)
Thierry Denoeux, Shoumei Li, Songsak Sriboonchitta
Evaluating and Comparing Soft Partitions: An Approach Based on Dempster-Shafer Theory. IEEE Trans. Fuzzy Syst. 26 (3) (2018)
Thierry Denoeux, Shoumei Li
Frequency-calibrated belief functions: Review and new insights. Int. J. Approx. Reason. 92 (2018)
Orakanya Kanjanatarakul, Siwarat Kuson, Thierry Denoeux
An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization. BELIEF (2018)
Zhi-gang Su, Thierry Denoeux, Yong-sheng Hao, Ming Zhao
Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules. Knowl. Based Syst. 142 (2018)
Thierry Denoeux
Logistic Regression Revisited: Belief Function Analysis. BELIEF (2018)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Trans. Biomed. Eng. 65 (1) (2018)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. ISBI (2017)
Feng Li, Shoumei Li, Nana Tang, Thierry Denoeux
Constrained interval-valued linear regression model. FUSION (2017)
Benjamin Quost, Thierry Denoeux, Shoumei Li
Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression. Adv. Data Anal. Classif. 11 (4) (2017)
Jean-Baptiste Bordes, Franck Davoine, Philippe Xu, Thierry Denoeux
Evidential grammars: A compositional approach for scene understanding. Application to multimodal street data. Appl. Soft Comput. 61 (2017)
Songsak Sriboonchitta, Jianxu Liu, Aree Wiboonpongse, Thierry Denoeux
A double-copula stochastic frontier model with dependent error components and correction for sample selection. Int. J. Approx. Reason. 80 (2017)
Orakanya Kanjanatarakul, Thierry Denoeux
Distributed data fusion in the dempster-shafer framework. SoSE (2017)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera
Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images. ICIP (2017)
Chunfeng Lian, Su Ruan, Thierry Denoeux
Joint Feature Transformation and Selection Based on Dempster-Shafer Theory. IPMU (1) (2016)
Marie-Hélène Masson, Sébastien Destercke, Thierry Denoeux
Modelling and predicting partial orders from pairwise belief functions. Soft Comput. 20 (3) (2016)
Lianmeng Jiao, Thierry Denoeux, Quan Pan
A Hybrid Belief Rule-Based Classification System Based on Uncertain Training Data and Expert Knowledge. IEEE Trans. Syst. Man Cybern. Syst. 46 (12) (2016)
Thierry Denoeux, Orakanya Kanjanatarakul
Evidential Clustering: A Review. IUKM (2016)
Philippe Xu, Franck Davoine, Hongbin Zha, Thierry Denoeux
Evidential calibration of binary SVM classifiers. Int. J. Approx. Reason. 72 (2016)
Liqi Sui, Pierre Feissel, Thierry Denoeux
Identification of Elastic Properties Based on Belief Function Inference. BELIEF (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thierry Denoeux