| Hits ?▼ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Andrea Campagner, Davide Ciucci, Thierry Denoeux |
A general framework for evaluating and comparing soft clusterings.  |
Inf. Sci.  |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Andrea Campagner, Davide Ciucci, Thierry Denoeux |
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering. |
Int. J. Approx. Reason. |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Thierry Denoeux |
Semi-supervised multiple evidence fusion for brain tumor segmentation. |
Neurocomputing |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux |
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Parametric families of continuous belief functions based on generalized Gaussian random fuzzy numbers. |
Fuzzy Sets Syst. |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: General framework and practical models. |
Fuzzy Sets Syst. |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Quantifying Prediction Uncertainty in Regression Using Random Fuzzy Sets: The ENNreg Model. |
IEEE Trans. Fuzzy Syst. |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Thierry Denoeux |
Application of belief functions to medical image segmentation: A review. |
Inf. Fusion |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Belief Functions on the Real Line Defined by Transformed Gaussian Random Fuzzy Numbers. |
FUZZ |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux |
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. |
Int. J. Approx. Reason. |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk |
Glenn Shafer - A short biography. |
Int. J. Approx. Reason. |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Andrea Campagner, Davide Ciucci, Thierry Denoeux |
Belief functions and rough sets: Survey and new insights. |
Int. J. Approx. Reason. |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models. |
CoRR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux |
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. |
CoRR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Andrea Campagner, Davide Ciucci, Thierry Denoeux |
A Distributional Approach for Soft Clustering Comparison and Evaluation. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan |
Evidence fusion with contextual discounting for multi-modality medical image segmentation. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu, Quan Pan 0001 |
EGMM: An evidential version of the Gaussian mixture model for clustering. |
Appl. Soft Comput. |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Haijie Fu, Xiaodong Yue, Wei Liu 0027, Thierry Denoeux |
Stable Clustering Ensemble Based on Evidence Theory. |
ICIP |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Wei Liu 0027, Xiaodong Yue, Yufei Chen 0002, Thierry Denoeux |
Trusted Multi-View Deep Learning with Opinion Aggregation. |
AAAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. |
BELIEF |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Andrea Campagner, Davide Ciucci, Thierry Denoeux |
A Distributional Approach for Soft Clustering Comparison and Evaluation. |
BELIEF |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan |
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. |
MICCAI (5) |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
NN-EVCLUS: Neural network-based evidential clustering. |
Inf. Sci. |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jianxu Liu, Songsak Sriboonchitta, Aree Wiboonpongse, Thierry Denoeux |
A trivariate Gaussian copula stochastic frontier model with sample selection. |
Int. J. Approx. Reason. |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Zheng Tong, Philippe Xu, Thierry Denoeux |
An evidential classifier based on Dempster-Shafer theory and deep learning. |
Neurocomputing |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Zheng Tong, Philippe Xu, Thierry Denoeux |
Evidential fully convolutional network for semantic segmentation. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan |
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 1 | Zheng Tong, Philippe Xu, Thierry Denoeux |
An evidential classifier based on Dempster-Shafer theory and deep learning. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 1 | Emmanuel Ramasso, Thierry Denoeux, Gaël Chevallier |
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 1 | Zheng Tong, Philippe Xu, Thierry Denoeux |
Fusion of evidential CNN classifiers for image classification. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Thierry Denoeux |
Covid-19 classification with deep neural network and belief functions. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Thierry Denoeux |
Belief function-based semi-supervised learning for brain tumor segmentation. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux |
Evidential segmentation of 3D PET/CT images. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 1 | Zheng Tong, Philippe Xu, Thierry Denoeux |
Evidential fully convolutional network for semantic segmentation. |
Appl. Intell. |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Liyao Ma, Thierry Denoeux |
Partial classification in the belief function framework. |
Knowl. Based Syst. |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence. |
Fuzzy Sets Syst. |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhi-gang Su, Qinghua Hu, Thierry Denoeux |
A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. |
IEEE Trans. Fuzzy Syst. |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Distributed combination of belief functions. |
Inf. Fusion |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Thierry Denoeux |
Covid-19 Classification with Deep Neural Network and Belief Functions. |
BIBE |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Thierry Denoeux |
Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. |
ISBI |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon (eds.) |
Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings |
BELIEF |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux |
Evidential Segmentation of 3D PET/CT Images. |
BELIEF |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Zheng Tong, Philippe Xu, Thierry Denoeux |
Fusion of Evidential CNN Classifiers for Image Classification. |
BELIEF |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen 0002 |
Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. |
BIBM |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan |
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. |
MLMI@MICCAI |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Calibrated model-based evidential clustering using bootstrapping. |
Inf. Sci. |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Feng Li, Shoumei Li, Thierry Denoeux |
Combining clusterings in the belief function framework. |
Array |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Prakash P. Shenoy |
An interval-valued utility theory for decision making with Dempster-Shafer belief functions. |
Int. J. Approx. Reason. |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu, Quan Pan 0001 |
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 1 | Thierry Denoeux |
NN-EVCLUS: Neural Network-based Evidential Clustering. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 1 | Thierry Denoeux |
Belief functions induced by random fuzzy sets: Application to statistical inference. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 1 | Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux |
Evidential Deep Neural Networks for Uncertain Data Classification. |
KSEM (2) |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Editorial: Opening up computer science. |
Array |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Decision-making with belief functions: A review. |
Int. J. Approx. Reason. |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Orakanya Kanjanatarakul, Songsak Sriboonchitta |
A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning. |
Int. J. Approx. Reason. |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Prakash P. Shenoy |
An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Thierry Denoeux |
Calibrated model-based evidential clustering using bootstrapping. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva 0001, 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 |
DBLP BibTeX RDF |
|
| 1 | Thierry Denoeux |
Logistic regression, neural networks and Dempster-Shafer theory: A new perspective. |
Knowl. Based Syst. |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhi-gang Su, Thierry Denoeux |
BPEC: Belief-Peaks Evidential Clustering. |
IEEE Trans. Fuzzy Syst. |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li 0003, Pierre Vera |
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions. |
IEEE Trans. Image Process. |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Frédéric Pichon, Didier Dubois, Thierry Denoeux |
Quality of Information Sources in Information Fusion. |
Information Quality in Information Fusion and Decision Making |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Yixuan Qiao, Shoumei Li, Thierry Denoeux |
Collaborative Evidential Clustering. |
IFSA/NAFIPS |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Orakanya Kanjanatarakul |
Multistep Prediction using Point-Cloud Approximation of Continuous Belief Functions. |
FUZZ-IEEE |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Prakash P. Shenoy |
An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. |
ISIPTA |
2019 |
DBLP BibTeX RDF |
|
| 1 | Liyao Ma, Thierry Denoeux |
Making Set-Valued Predictions in Evidential Classification: A Comparison of Different Approaches. |
ISIPTA |
2019 |
DBLP BibTeX RDF |
|
| 1 | Zheng Tong, Philippe Xu, Thierry Denoeux |
ConvNet and Dempster-Shafer Theory for Object Recognition. |
SUM |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Sébastien Destercke, Thierry Denoeux, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz (eds.) |
Uncertainty Modelling in Data Science, SMPS 2018, Compiègne, France, 17-21 September 2018. |
SMPS |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Liqi Sui, Pierre Feissel, Thierry Denoeux |
Identification of elastic properties in the belief function framework. |
Int. J. Approx. Reason. |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Shoumei Li |
Frequency-calibrated belief functions: Review and new insights. |
Int. J. Approx. Reason. |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Decision-Making with Belief Functions: a Review. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 1 | Thierry Denoeux |
Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
| 1 | Feng Li, Shoumei Li, Thierry Denoeux |
k-CEVCLUS: Constrained evidential clustering of large dissimilarity data. |
Knowl. Based Syst. |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li 0003, Pierre Vera |
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. |
IEEE Trans. Biomed. Eng. |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Shoumei Li, Songsak Sriboonchitta |
Evaluating and Comparing Soft Partitions: An Approach Based on Dempster-Shafer Theory. |
IEEE Trans. Fuzzy Syst. |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Quantifying Predictive Uncertainty Using Belief Functions: Different Approaches and Practical Construction. |
Predictive Econometrics and Big Data |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux (eds.) |
Integrated Uncertainty in Knowledge Modelling and Decision Making - 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings |
IUKM |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
Logistic Regression Revisited: Belief Function Analysis. |
BELIEF |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Orakanya Kanjanatarakul, Siwarat Kuson, Thierry Denoeux |
An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization. |
BELIEF |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin (eds.) |
Belief Functions: Theory and Applications - 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings |
BELIEF |
2018 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li 0003, Pierre Vera |
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. |
ISBI |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Orakanya Kanjanatarakul, Thierry Denoeux |
Distributed data fusion in the dempster-shafer framework. |
SoSE |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Feng Li, Shoumei Li, Nana Tang, Thierry Denoeux |
Constrained interval-valued linear regression model. |
FUSION |
2017 |
DBLP DOI BibTeX RDF |
|
| 1 | Chunfeng Lian, Su Ruan, Thierry Denoeux, Fabrice Jardin, Pierre Vera |
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction. |
Medical Image Anal. |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Orakanya Kanjanatarakul, Thierry Denoeux, Songsak Sriboonchitta |
Prediction of future observations using belief functions: A likelihood-based approach. |
Int. J. Approx. Reason. |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Philippe Xu, Franck Davoine, Hongbin Zha, Thierry Denoeux |
Evidential calibration of binary SVM classifiers. |
Int. J. Approx. Reason. |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux |
40 years of Dempster-Shafer theory. |
Int. J. Approx. Reason. |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Lianmeng Jiao, Thierry Denoeux, Quan Pan 0001 |
A Hybrid Belief Rule-Based Classification System Based on Uncertain Training Data and Expert Knowledge. |
IEEE Trans. Syst. Man Cybern. Syst. |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Marie-Hélène Masson, Sébastien Destercke, Thierry Denoeux |
Modelling and predicting partial orders from pairwise belief functions. |
Soft Comput. |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Sawsan Kanj, Fahed Abdallah, Thierry Denoeux, Kifah Tout |
Editing training data for multi-label classification with the k-nearest neighbor rule. |
Pattern Anal. Appl. |
2016 |
DBLP DOI BibTeX RDF |
|
| 1 | Thierry Denoeux, Songsak Sriboonchitta, Orakanya Kanjanatarakul |
Evidential clustering of large dissimilarity data. |
Knowl. Based Syst. |
2016 |
DBLP DOI BibTeX RDF |
|
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