Thierry Denoeux

251
Documents
Affiliations actuelles
  • Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc)
  • Institut universitaire de France (IUF)
Identifiants chercheurs
Contact

Présentation

Thierry Denoeux graduated from École nationale des ponts et chaussées and earned a PhD from the same institution. He is currently a Full Professor (Exceptional Class) with the Department of Information Processing Engineering at Université de Technologie de Compiègne, France. He is the president of the Belief Functions and Applications Society. In 2019, he was appointed as a senior member of Institut Universitaire de France, and he was reconducted in 2024. His research interests concern reasoning and decision-making under uncertainty and, more generally, the management of uncertainty in intelligent systems. His main contributions are in the theory of belief functions with applications to statistical inference, machine learning and information fusion. He is the author of more than 350 papers in journals and conference proceedings and he has supervised more than 30 PhD theses. He is the Editor-in-Chief of the International Journal of Approximate Reasoning (Elsevier), and an Associate Editor of several journals including Fuzzy Sets and Systems and International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems.

Publications

Publications

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Evidential time-to-event prediction with calibrated uncertainty quantification

Ling Huang , Yucheng Xing , Swapnil Mishra , Thierry Denœux , Mengling Feng
International Journal of Approximate Reasoning, 2025, 181, pp.109403. ⟨10.1016/j.ijar.2025.109403⟩
Article dans une revue hal-04983999 v1
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Uncertainty Quantification in Regression Neural Networks using Evidential Likelihood-based Inference

Thierry Denœux
International Journal of Approximate Reasoning, 2025, pp.109423. ⟨10.1016/j.ijar.2025.109423⟩
Article dans une revue hal-05003295 v1
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Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation

Ling Huang , Su Ruan , Pierre Decazes , Thierry Denœux
Information Fusion, 2025, 113, pp.102648. ⟨10.1016/j.inffus.2024.102648⟩
Article dans une revue hal-04681852 v1
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Multi-view evidential K-NN classification

Chaoyu Gong , Zhi-Gang Su , Thierry Denoeux
Information Fusion, 2025, 120, pp.103113. ⟨10.1016/j.inffus.2025.103113⟩
Article dans une revue hal-05001673 v2
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Combination of dependent and partially reliable Gaussian random fuzzy numbers

Thierry Denœux
Information Sciences, 2024, 681, pp.121208. ⟨10.1016/j.ins.2024.121208⟩
Article dans une revue hal-04647034 v1
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Uncertainty Quantification in Logistic Regression using Random Fuzzy Sets and Belief Functions

Thierry Denœux
International Journal of Approximate Reasoning, 2024, 168, pp.109159. ⟨10.1016/j.ijar.2024.109159⟩
Article dans une revue hal-04489184 v1
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Selecting reliable instances based on evidence theory for transfer learning

Ying Lv , Bofeng Zhang , Xiaodong Yue , Thierry Denœux , Shan Yue
Expert Systems with Applications, 2024, 250, pp.123739. ⟨10.1016/j.eswa.2024.123739⟩
Article dans une revue hal-04538062 v1
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Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group

Ismaïl Baaj , Zied Bouraoui , Antoine Cornuéjols , Thierry Denoeux , Sébastien Destercke et al.
International Journal of Approximate Reasoning, 2024, 171, pp.109206. ⟨10.1016/j.ijar.2024.109206⟩
Article dans une revue hal-04653616 v1
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Parametric families of continuous belief functions based on generalized Gaussian random fuzzy numbers

Thierry Denœux
Fuzzy Sets and Systems, 2023, 471, pp.108679. ⟨10.1016/j.fss.2023.108679⟩
Article dans une revue hal-04060251 v2
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A general framework for evaluating and comparing soft clusterings

Andrea Campagner , Davide Ciucci , Thierry Denœux
Information Sciences, 2023, 623, pp.70-93. ⟨10.1016/j.ins.2022.11.114⟩
Article dans une revue hal-03906379 v1
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Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: General framework and practical models

Thierry Denœux
Fuzzy Sets and Systems, 2023, 453, pp.1-36. ⟨10.1016/j.fss.2022.06.004⟩
Article dans une revue hal-03915957 v3
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A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering

Andrea Campagner , Davide Ciucci , Thierry Denœux
International Journal of Approximate Reasoning, 2023, 162, pp.109008. ⟨10.1016/j.ijar.2023.109008⟩
Article dans une revue hal-04185605 v1
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Quantifying Prediction Uncertainty in Regression Using Random Fuzzy Sets: The ENNreg Model

Thierry Denœux
IEEE Transactions on Fuzzy Systems, 2023, 31 (10), pp.3690-3699. ⟨10.1109/TFUZZ.2023.3268200⟩
Article dans une revue hal-04368249 v1
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Semi-supervised multiple evidence fusion for brain tumor segmentation

Ling Huang , Su Ruan , Thierry Denœux
Neurocomputing, 2023, 535, pp.40-52. ⟨10.1016/j.neucom.2023.02.047⟩
Article dans une revue hal-04033265 v1
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Evidence-based data mining method to reveal similarities between materials based on physical mechanisms

Minh-Quyet Ha , Duong-Nguyen Nguyen , Viet-Cuong Nguyen , Hiori Kino , Yasunobu Ando et al.
Journal of Applied Physics, 2023, 133 (5), pp.053904. ⟨10.1063/5.0134999⟩
Article dans une revue hal-03976318 v1
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Application of belief functions to medical image segmentation: A review

Ling Huang , Su Ruan , Thierry Denœux
Information Fusion, 2023, 91, pp.737-756. ⟨10.1016/j.inffus.2022.11.008⟩
Article dans une revue hal-03881727 v1
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Belief Functions and Rough Sets: Survey and New Insights

Andrea Campagner , Davide Ciucci , Thierry Denœux
International Journal of Approximate Reasoning, 2022, 143, pp.192-215. ⟨10.1016/j.ijar.2022.01.011⟩
Article dans une revue hal-03598586 v1
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PENet: Prior evidence deep neural network for bladder cancer staging

Xiaoqian Zhou , Xiaodong Yue , Zhikang Xu , Thierry Denoeux , Yufei Chen
Methods, 2022, 207, pp.20-28. ⟨10.1016/j.ymeth.2022.08.010⟩
Article dans une revue hal-03773273 v1
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Lymphoma segmentation from 3D PET-CT images using a deep evidential network

Ling Huang , Su Ruan , Pierre Decazes , Thierry Denœux
International Journal of Approximate Reasoning, 2022, 149, pp.39-60. ⟨10.1016/j.ijar.2022.06.007⟩
Article dans une revue hal-03766589 v1
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Clustering acoustic emission data streams with sequentially appearing clusters using mixture models

Emmanuel Ramasso , Thierry Denoeux , Gael Chevallier
Mechanical Systems and Signal Processing, 2022, 181, pp.109504 (23). ⟨10.1016/j.ymssp.2022.109504⟩
Article dans une revue hal-03772732 v1
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EGMM: An evidential version of the Gaussian mixture model for clustering

Lianmeng Jiao , Thierry Denœux , Zhun-Ga Liu , Quan Pan
Applied Soft Computing, 2022, 129, pp.109619. ⟨10.1016/j.asoc.2022.109619⟩
Article dans une revue hal-03781537 v1
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Combination of Transferable Classification with Multi-source Domain Adaptation Based on Evidential Reasoning

Zhun-Ga Liu , Lin-Qing Huang , Kuang Zhou , Thierry Denoeux
IEEE Transactions on Neural Networks and Learning Systems, 2021, 32 (5), pp.2015-2029. ⟨10.1109/TNNLS.2020.2995862⟩
Article dans une revue hal-02944558 v1
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Evidential fully convolutional network for semantic segmentation

Zheng Tong , Philippe Xu , Thierry Denoeux
Applied Intelligence, 2021, 51 (9), pp.6376-6399. ⟨10.1007/s10489-021-02327-0⟩
Article dans une revue hal-03511108 v1
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An evidential classifier based on Dempster-Shafer theory and deep learning

Zheng Tong , Philippe Xu , Thierry Denoeux
Neurocomputing, 2021, 450, pp.275-293. ⟨10.1016/j.neucom.2021.03.066⟩
Article dans une revue hal-03219203 v1
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A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification

Zhi-Gang Su , Qinghua Hu , Thierry Denoeux
IEEE Transactions on Fuzzy Systems, 2021, 29 (8), pp.2322-2335. ⟨10.1109/TFUZZ.2020.2998502⟩
Article dans une revue hal-02944550 v1
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A trivariate Gaussian copula stochastic frontier model with sample selection

Jianxu Liu , Songsak Sriboonchitta , Aree Wiboonpongse , Thierry Denoeux
International Journal of Approximate Reasoning, 2021, 137, pp.181-198. ⟨10.1016/j.ijar.2021.06.016⟩
Article dans une revue hal-03511126 v1
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Distributed combination of belief functions

Thierry Denoeux
Information Fusion, 2021, 65, pp.179-191. ⟨10.1016/j.inffus.2020.09.001⟩
Article dans une revue hal-02944536 v1
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NN-EVCLUS: Neural network-based evidential clustering

Thierry Denoeux
Information Sciences, 2021, 572, pp.297-330. ⟨10.1016/j.ins.2021.05.011⟩
Article dans une revue hal-03235749 v1
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Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence

Thierry Denoeux
Fuzzy Sets and Systems, 2021, 424, pp.63-91. ⟨10.1016/j.fss.2020.12.004⟩
Article dans une revue hal-03132386 v1
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Partial Classification in the Belief Function Framework

Liyao Ma , Thierry Denoeux
Knowledge-Based Systems, 2021, 214, pp.106742. ⟨10.1016/j.knosys.2021.106742⟩
Article dans une revue hal-03132379 v1
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Evidence-based recommender system for high-entropy alloys

Minh-Quyet Ha , Duong-Nguyen Nguyen , Viet-Cuong Nguyen , Takahiro Nagata , Toyohiro Chikyow et al.
Nature Computational Science, 2021, 1, pp.470-478. ⟨10.1038/s43588-021-00097-w⟩
Article dans une revue hal-03292324 v1
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An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions

Thierry Denoeux , Prakash P Shenoy
International Journal of Approximate Reasoning, 2020, 124, pp.194-216. ⟨10.1016/j.ijar.2020.06.008⟩
Article dans une revue hal-02899208 v1
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Combining clusterings in the belief function framework

Feng Li , Shoumei Li , Thierry Denoeux
Array, 2020, 6, pp.100018. ⟨10.1016/j.array.2020.100018⟩
Article dans une revue hal-02471590 v1
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Calibrated model-based evidential clustering using bootstrapping

Thierry Denoeux
Information Sciences, 2020, 528, pp.17-45. ⟨10.1016/j.ins.2020.04.014⟩
Article dans une revue hal-02553269 v1
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A New Evidential K-Nearest Neighbor Rule based on Contextual Discounting with Partially Supervised learning

Thierry Denoeux , Orakanya Kanjanatarakul , Songsak Sriboonchitta
International Journal of Approximate Reasoning, 2019, 113, pp.287-302. ⟨10.1016/j.ijar.2019.07.009⟩
Article dans une revue hal-02446134 v1
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BPEC: Belief-Peaks Evidential Clustering

Zhi-Gang Su , Thierry Denoeux
IEEE Transactions on Fuzzy Systems, 2019, 27 (1), pp.111-123. ⟨10.1109/TFUZZ.2018.2869125⟩
Article dans une revue hal-02471548 v1
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Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective

Thierry Denoeux
Knowledge-Based Systems, 2019, 176, pp.54-67. ⟨10.1016/j.knosys.2019.03.030⟩
Article dans une revue hal-01830389 v1
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Decision-Making with Belief Functions: a Review

Thierry Denoeux
International Journal of Approximate Reasoning, 2019, 109, pp.87-110. ⟨10.1016/j.ijar.2019.03.009⟩
Article dans une revue hal-02471545 v1
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Robust Optimization of Demand Response Power Bids for Drinking Water Systems

Chouaib Mkireb , Abel Dembélé , Antoine Jouglet , Thierry Denoeux
Applied Energy, 2019, 238, pp.1036-1047. ⟨10.1016/j.apenergy.2019.01.124⟩
Article dans une revue hal-02006658 v1
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Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions

Chunfeng Lian , Su Ruan , Thierry Denoeux , Hua Li , Pierre Vera
IEEE Transactions on Image Processing, 2019, 28 (2), pp.755-766. ⟨10.1109/TIP.2018.2872908⟩
Article dans une revue hal-02087829 v1
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Flexibility of drinking water systems: An opportunity to reduce CO2 emissions

Chouaib Mkireb , Abel Dembele , Thierry Denoeux , Antoine Jouglet
International Journal of Energy Production and Management, 2019, 4 (2), pp.134-144. ⟨10.2495/eq-v4-n2-134-144⟩
Article dans une revue hal-03280916 v1
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k -CEVCLUS: Constrained evidential clustering of large dissimilarity data

Feng Li , Shoumei Li , Thierry Denoeux
Knowledge-Based Systems, 2018, 142, pp.29-44. ⟨10.1016/j.knosys.2017.11.023⟩
Article dans une revue hal-01830439 v1
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Identification of Elastic Properties in the Belief Function Framework

Liqi Sui , Pierre Feissel , Thierry Denoeux
International Journal of Approximate Reasoning, 2018, 101, pp.69-87. ⟨10.1016/j.ijar.2018.06.010⟩
Article dans une revue hal-01830386 v1
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Evaluating and Comparing Soft Partitions: An Approach Based on Dempster–Shafer Theory

Thierry Denoeux , Shoumei Li , Songsak Sriboonchitta
IEEE Transactions on Fuzzy Systems, 2018, 26 (3), pp.1231-1244. ⟨10.1109/TFUZZ.2017.2718484⟩
Article dans une revue hal-02553110 v1
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Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules

Zhi-Gang Su , Thierry Denoeux , Yong-Sheng Hao , Ming Zhao
Knowledge-Based Systems, 2018, 142, pp.7-16. ⟨10.1016/j.knosys.2017.11.020⟩
Article dans une revue hal-01830441 v1

Energy-efficient operation of water systems through optimization of load power reduction in electricity markets

Chouaib Mkireb , Abel Dembele , Antoine Jouglet , Thierry Denoeux
Journal of Electronic Science and Technology, 2018, 16 (4), pp.304-315. ⟨10.11989/JEST.1674-862X.80727111⟩
Article dans une revue hal-02006279 v1
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Frequency-Calibrated Belief Functions: Review and New Insights

Thierry Denoeux , Shoumei Li
International Journal of Approximate Reasoning, 2018, 92, pp.232-254. ⟨10.1016/j.ijar.2017.10.013⟩
Article dans une revue hal-01576356 v3
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Spatial Evidential Clustering with Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images

Chunfeng Lian , Su Ruan , Thierry Denoeux , Hua Li , Pierre Vera
IEEE Transactions on Biomedical Engineering, 2018, 65 (1), pp.21-30. ⟨10.1109/TBME.2017.2688453⟩
Article dans une revue hal-01637193 v1
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A double-copula stochastic frontier model with dependent error components and correction for sample selection

Songsak Sriboonchitta , Jianxu Liu , Wiboonpongse Aree , Thierry Denoeux
International Journal of Approximate Reasoning, 2017, 80, pp.174-184. ⟨10.1016/j.ijar.2016.08.006⟩
Article dans une revue hal-01396528 v1
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Parametric classification with soft labels using the Evidential EM algorithm

Benjamin Quost , Thierry Denoeux , Shoumei Li
Advances in Data Analysis and Classification, 2017, 11 (4), pp.659-690. ⟨10.1007/s11634-017-0301-2⟩
Article dans une revue hal-01525605 v2
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Evidential grammars: A compositional approach for scene understanding. Application to multimodal street data

Jean-Baptiste Bordes , Franck Davoine , Philippe Xu , Thierry Denoeux
Applied Soft Computing, 2017, 61, pp.1173-1185. ⟨10.1016/j.asoc.2017.06.020⟩
Article dans une revue hal-01703417 v1

Modelling and predicting partial orders from pairwise belief functions

Marie-Hélène Masson , Sébastien Destercke , Thierry Denoeux
Soft Computing, 2016, 20 (3), pp.939-950. ⟨10.1007/s00500-014-1553-9⟩
Article dans une revue hal-01275513 v1
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Clustering and classification of fuzzy data using the fuzzy EM algorithm

Benjamin Quost , Thierry Denoeux
Fuzzy Sets and Systems, 2016, 286, pp.134-156. ⟨10.1016/j.fss.2015.04.012⟩
Article dans une revue hal-01294270 v1
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Prediction of future observations using belief functions: A likelihood-based approach

Orakanya Kanjanatarakul , Thierry Denoeux , Songsak Sriboonchitta
International Journal of Approximate Reasoning, 2016, 72, pp.71-94. ⟨10.1016/j.ijar.2015.12.004⟩
Article dans une revue hal-01294271 v1
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Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction

Chunfeng Lian , Su Ruan , Thierry Denoeux , Fabrice Jardin , Pierre Vera
Medical Image Analysis, 2016, 32, pp.257-268. ⟨10.1016/j.media.2016.05.007⟩
Article dans une revue hal-01324553 v1
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Evidential calibration of binary SVM classifiers

Philippe Xu , Franck Davoine , Hongbin Zha , Thierry Denoeux
International Journal of Approximate Reasoning, 2016, 72, pp.55-70. ⟨10.1016/j.ijar.2015.05.002⟩
Article dans une revue hal-01154794 v1
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A Hybrid Belief Rule-Based Classification System Based on Uncertain Training Data and Expert Knowledge

Lianmeng Jiao , Thierry Denoeux , Quan Pan
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 46 (12), pp.1711-1723. ⟨10.1109/TSMC.2015.2503381⟩
Article dans une revue hal-01294273 v1
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Editing training data for multi-label classification with the k-nearest neighbor rule

Sawsan Kanj , Fahed Abdallah , Thierry Denoeux , Kifah Tout
Pattern Analysis and Applications, 2016, 19 (1), pp.145-161. ⟨10.1007/s10044-015-0452-8⟩
Article dans une revue hal-01294269 v1
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Dissimilarity Metric Learning in the Belief Function Framework

Chunfeng Lian , Su Ruan , Thierry Denoeux
IEEE Transactions on Fuzzy Systems, 2016, 24 (6), pp.1555-1564. ⟨10.1109/TFUZZ.2016.2540068⟩
Article dans une revue hal-01294272 v1

Multimodal information fusion for urban scene understanding

Philippe Xu , Franck Davoine , Jean-Baptiste Bordes , Huijing Zhao , Thierry Denœux
Machine Vision and Applications, 2016, 27 (3), pp.331-349. ⟨10.1007/s00138-014-0649-7⟩
Article dans une revue hal-01133430 v1
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Evidential clustering of large dissimilarity data

Thierry Denoeux , Songsak Sriboonchitta , Orakanya Kanjanatarakul
Knowledge-Based Systems, 2016, 106, pp.179-195. ⟨10.1016/j.knosys.2016.05.043⟩
Article dans une revue hal-01324491 v1
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An evidential classifier based on feature selection and two-step classification strategy

Chunfeng Lian , Su Ruan , Thierry Denoeux
Pattern Recognition, 2015, 48 (7), pp.2318-2327. ⟨10.1016/j.patcog.2015.01.019⟩
Article dans une revue hal-01294268 v1
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Interval-Valued Linear Model

Xun Wang , Shoumei Li , Thierry Denoeux
International Journal of Computational Intelligence Systems, 2015, 8 (1), pp.114-127. ⟨10.1080/18756891.2014.967010⟩
Article dans une revue hal-01127794 v1
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EK-NNclus: A clustering procedure based on the evidential K-nearest neighbor rule

Thierry Denoeux , Orakanya Kanjanatarakul , Songsak Sriboonchitta
Knowledge-Based Systems, 2015, 88, pp.57-69. ⟨10.1016/j.knosys.2015.08.007⟩
Article dans une revue hal-01294267 v1
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Belief rule-based classification system: Extension of FRBCS in belief functions framework

Lianmeng Jiao , Quan Pan , Thierry Denoeux , Yan Liang , Xiaoxue Feng
Information Sciences, 2015, 309, pp.26-49. ⟨10.1016/j.ins.2015.03.005⟩
Article dans une revue hal-01141281 v1
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Modeling dependence between error components of the stochastic frontier model using copula: Application to intercrop coffee production in Northern Thailand

Aree Wiboonpongse , Jianxu Liu , Songsak Sriboonchitta , Thierry Denoeux
International Journal of Approximate Reasoning, 2015, 65, pp.34-44. ⟨10.1016/j.ijar.2015.04.001⟩
Article dans une revue hal-01294274 v1
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Fusion of multi-tracer PET images for dose painting

Benoît Lelandais , Su Ruan , Thierry Denoeux , Pierre Vera , Isabelle Gardin
Medical Image Analysis, 2014, 18 (7), pp.1247-1259. ⟨10.1016/j.media.2014.06.014⟩
Article dans une revue hal-01127787 v1
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Fusion d'informations pour la compréhension de scènes

Philippe Xu , Franck Davoine , Jean-Baptiste Bordes , Thierry Denoeux
Traitement du Signal, 2014, 31 (1-2), pp.57-80. ⟨10.3166/TS.00.9-31⟩
Article dans une revue hal-01127788 v1
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Making use of partial knowledge about hidden states in HMMs : an approach based on belief functions.

Emmanuel Ramasso , Thierry Denoeux
IEEE Transactions on Fuzzy Systems, 2014, 22 (2), pp.395-405. ⟨10.1109/TFUZZ.2013.2259496⟩
Article dans une revue hal-00834177 v1
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Rejoinder on “Likelihood-based belief function: Justification and some extensions to low-quality data”

Thierry Denoeux
International Journal of Approximate Reasoning, 2014, 55 (7), pp.1614-1617. ⟨10.1016/j.ijar.2014.04.010⟩
Article dans une revue hal-01127784 v1
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Optimal object association in the Dempster-Shafer framework

Thierry Denoeux , Nicole El Zoghby , Véronique Cherfaoui , Antoine Jouglet
IEEE Transactions on Cybernetics, 2014, 44 (22), pp.2521-2531. ⟨10.1109/TCYB.2014.2309632⟩
Article dans une revue hal-01127786 v1
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Likelihood-based belief function: justification and some extensions to low-quality data

Thierry Denoeux
International Journal of Approximate Reasoning, 2014, 55 (7), pp.1535-1547. ⟨10.1016/j.ijar.2013.06.007⟩
Article dans une revue hal-00813021 v2
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Combining statistical and expert evidence using belief functions: Application to centennial sea level estimation taking into account climate change

Nadia Ben Abdallah , Nassima Mouhous-Voyneau , Thierry Denoeux
International Journal of Approximate Reasoning, 2014, 55 (1), pp.341-354. ⟨10.1016/j.ijar.2013.03.008⟩
Article dans une revue hal-00932879 v1
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Forecasting using belief functions: An application to marketing econometrics

Orakanya Kanjanatarakul , Songsak Sriboonchitta , Thierry Denoeux
International Journal of Approximate Reasoning, 2014, 55 (5), pp.1113-1128. ⟨10.1016/j.ijar.2014.01.005⟩
Article dans une revue hal-01127783 v1
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CEVCLUS: evidential clustering with instance-level constraints for relational data

Violaine Antoine , Benjamin Quost , Marie-Hélène Masson , Thierry Denoeux
Soft Computing, 2013, 18 (7), pp.1321-1335. ⟨10.1007/s00500-013-1146-z⟩
Article dans une revue hal-00923311 v1
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Maximum likelihood estimation from Uncertain Data in the Belief Function Framework

Thierry Denoeux
IEEE Transactions on Knowledge and Data Engineering, 2013, 25 (1), pp.119-130. ⟨10.1109/TKDE.2011.201⟩
Article dans une revue hal-00804343 v1
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Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis

Zohra Leila Cherfi , Latifa Oukhellou , Etienne Côme , Thierry Denoeux , Patrice Aknin
Soft Computing, 2012, 16 (5), pp.741-754. ⟨10.1007/s00500-011-0766-4⟩
Article dans une revue hal-00688783 v1

CECM: Constrained Evidential C-Means algorithm

Violaine Antoine , Benjamin Quost , Marie-Hélène Masson , Thierry Denoeux
Computational Statistics and Data Analysis, 2012, 56 (4), pp.894-914. ⟨10.1016/j.csda.2010.09.021⟩
Article dans une revue istex hal-00554310 v1
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Evidential reasoning in large partially ordered sets. Application to multi-label classification, ensemble clustering and preference aggregation

Thierry Denoeux , Marie-Hélène Masson
Annals of Operations Research, 2012, 195 (1), pp.135-161. ⟨10.1007/s10479-011-0887-2⟩
Article dans une revue hal-00684520 v1
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Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints

Etienne Côme , Latifa Oukhellou , Thierry Denœux , Patrice Aknin
Pattern Analysis and Applications, 2012, 15 (3), pp.313-326. ⟨10.1007/s10044-011-0212-3⟩
Article dans une revue hal-00750589 v1
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Relevance and truthfulness in information correction and fusion

Frédéric Pichon , Didier Dubois , Thierry Denoeux
International Journal of Approximate Reasoning, 2012, 53 (2), pp.159-175. ⟨10.1016/j.ijar.2011.02.006⟩
Article dans une revue hal-00656775 v1
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Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules

Benjamin Quost , Marie-Hélène Masson , Thierry Denoeux
International Journal of Approximate Reasoning, 2011, 52 (3), pp.353-374. ⟨10.1016/j.ijar.2010.11.008⟩
Article dans une revue hal-00651369 v1
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Maximum likelihood estimation from fuzzy data using the EM algorithm

Thierry Denoeux
Fuzzy Sets and Systems, 2011, 183 (1), pp.72-91
Article dans une revue hal-00654118 v1
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A dependent multi-label classification method derived from the k-nearest neighbor rule

Zoulficar Younes , Fahed Abdallah , Thierry Denoeux , Hichem Snoussi
EURASIP Journal on Advances in Signal Processing, 2011, 2011, pp.Article ID 645964. ⟨10.1155/2011/645964⟩
Article dans une revue hal-00655629 v1
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A multiple-hypotheses map matching method suitable for weighted and box-shaped state estimation for localization

Fahed Abdallah , Ghalia Nassreddine , Thierry Denoeux
IEEE Transactions on Intelligent Transportation Systems, 2011, 12 (4), pp.1495-1510. ⟨10.1109/TITS.2011.2160856⟩
Article dans une revue hal-00655642 v1
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Ensemble clustering in the belief functions framework

Marie-Hélène Masson , Thierry Denoeux
International Journal of Approximate Reasoning, 2011, 52 (1), pp.92-109. ⟨10.1016/j.ijar.2010.04.007⟩
Article dans une revue hal-00651375 v1
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Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion

Latifa Oukhellou , Alexandra Debiolles , Thierry Denoeux , Patrice Aknin
Engineering Applications of Artificial Intelligence, 2010, 23 (1), pp.117-128. ⟨10.1016/j.engappai.2009.06.005⟩
Article dans une revue hal-00467941 v1
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The unnormalized Dempster's rule of combination: a new justification from the Least Commitment Principle and some extensions

Frédéric Pichon , Thierry Denoeux
Journal of Automated Reasoning, 2010, 45 (1), pp.61-87. ⟨10.1007/s10817-009-9152-7⟩
Article dans une revue hal-00482006 v1
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State estimation using interval analysis and belief function theory: Application to dynamic vehicle localization

Ghalia Nassreddine , Fahed Abdallah , Thierry Denoeux
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2010, 40 (5), pp.1205-1218. ⟨10.1109/TSMCB.2009.2035707⟩
Article dans une revue hal-00553490 v1
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Representing uncertainty on set-valued variables using belief functions

Thierry Denoeux , Zoulficar Younes , Fahed Abdallah
Artificial Intelligence, 2010, 174 (7-8), pp.479-499. ⟨10.1016/j.artint.2010.02.002⟩
Article dans une revue hal-00467932 v1
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Learning from partially supervised data using mixture models and belief functions.

Etienne Côme , Latifa Oukhellou , Thierry Denoeux , Patrice Aknin
Pattern Recognition, 2009, 42 (3), pp.334-348. ⟨10.1016/j.patcog.2008.07.014⟩
Article dans une revue hal-00446583 v1
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An evidence-based approach to damage location on an aircraft structure

K. Worden , G. Manson , Thierry Denoeux
Mechanical Systems and Signal Processing, 2009, 23 (6), pp.1792-1804. ⟨10.1016/j.ymssp.2008.11.003⟩
Article dans une revue hal-00450962 v1
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Extending stochastic ordering to belief functions on the real line

Thierry Denoeux
Information Sciences, 2009, 179, pp.1362-1376. ⟨10.1016/j.ins.2009.01.009⟩
Article dans une revue hal-00448368 v1
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RECM: Relational Evidential c-means algorithm

Marie-Hélène Masson , Thierry Denoeux
Pattern Recognition Letters, 2009, 30, pp.1015-1026. ⟨10.1016/j.patrec.2009.04.008⟩
Article dans une revue hal-00400273 v1
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Decision fusion for postal address recognition using belief functions

David Mercier , Genevieve Cron , Thierry Denoeux , Marie-Hélène Masson
Expert Systems with Applications, 2009, 36 (3), pp.5643-5653. ⟨10.1016/j.eswa.2008.06.058⟩
Article dans une revue hal-00443904 v1

Refined modeling of sensor reliability in the belief function framework using contextual discounting

David Mercier , Benjamin Quost , Thierry Denœux
Information Fusion, 2008, 9 (2), pp.246-258. ⟨10.1016/j.inffus.2006.08.001⟩
Article dans une revue istex hal-00445473 v1

Combinaison crédibiliste de classifieurs binaires

Benjamin Quost , Thierry Denoeux , Marie-Hélène Masson
Traitement du Signal, 2007, 24 (2), pp.83-101
Article dans une revue hal-00445476 v1

Pairwise classifier combination using belief functions

Benjamin Quost , Thierry Denœux , Marie-Hélène Masson
Pattern Recognition Letters, 2007, 28 (5), pp.644-653. ⟨10.1016/j.patrec.2006.11.002⟩
Article dans une revue istex hal-00445480 v1

Nonparametric regression analysis of uncertain and imprecise data using belief functions

Simon Petitrenaud , Thierry Denoeux
International Journal of Approximate Reasoning, 2004, 35 (1), pp.1-28. ⟨10.1016/S0888-613X(03)00056-2⟩
Article dans une revue hal-01434491 v1
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Resample and Combine: An Approach to Improving Uncertainty Representation in Evidential Pattern Classification

Jeanne François , Y. Grandvalet , T. Denoeux , J.M. Roger
Information Fusion, 2003, 4 (2), p. 75 - p. 85. ⟨10.1016/S1566-2535(03)00005-8⟩
Article dans une revue hal-00453802 v1

ADDENDUM to resample and combine : an approach to improving uncertainty representation in evidential pattern classification

Jeanne François , Y. Grandvalet , Thierry Denoeux , J.M. Roger
Information Fusion, 2003, 4, pp.235-236. ⟨10.1016/S1566-2535(03)00020-4⟩
Article dans une revue istex hal-02582969 v1

Training MLPs layer by layer using an objective function for internal representations

Régis Lengellé , Thierry Denoeux
Neural Networks, 1996, 9 (1), pp.83-97. ⟨10.1016/0893-6080(95)00096-8⟩
Article dans une revue istex hal-02861431 v1

Initializing back propagation networks with prototypes

Thierry Denoeux , Régis Lengellé
Neural Networks, 1993, 6 (3), pp.351-363. ⟨10.1016/0893-6080(93)90003-F⟩
Article dans une revue istex hal-02861437 v1

Determination in real time of the reliability of radar rainfall forecasts

T. Denoeux , T. Einfalt , G. Jacquet
Journal of Hydrology, 1991, 122 (41365), pp.353
Article dans une revue hal-00779570 v1

A radar rainfall forecasting method designed for hydrological purposes

T. Einfalt , T. Denoeux , G. Jacquet
Journal of Hydrology, 1990, 114 (41367), pp.229
Article dans une revue hal-00779578 v1
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Uncertainty quantification in regression neural networks using likelihood-based belief functions

Thierry Denoeux
8th International Conference on Belief Functions (BELIEF 2024), Sep 2024, Belfast, United Kingdom. pp.40-48, ⟨10.1007/978-3-031-67977-3_5⟩
Communication dans un congrès hal-04621414 v1
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An evidential time-to-event prediction model based on Gaussian random fuzzy numbers

L. Huang , Yucheng Xing , Thierry Denoeux , Mengling Feng
8th International Conference on Belief Functions (BELIEF 2024), Sep 2024, Belfast, United Kingdom. pp.49-57, ⟨10.1007/978-3-031-67977-3_6⟩
Communication dans un congrès hal-04674357 v1
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Combination of Dependent Gaussian Random Fuzzy Numbers

Thierry Denoeux
8th International Conference on Belief Functions (BELIEF 2024), Sep 2024, Belfast, United Kingdom. pp.264-272, ⟨10.1007/978-3-031-67977-3_28⟩
Communication dans un congrès hal-04621423 v1
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r-ERBFN : an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence

Frédéric Pichon , Serigne Diène , Thierry Denoeux , Sébastien Ramel , David Mercier
16th International Conference on Scalable Uncertainty Management (SUM 2024), Nov 2024, Palermo, Italy. pp.354-368, ⟨10.1007/978-3-031-76235-2_26⟩
Communication dans un congrès hal-04788662 v1
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Algebraic Product Is the Only "And-like" Operation for Which Normalized Intersection Is Associative: A Proof

Thierry Denœux , Vladik Kreinovich
Fifth International Conference on Artificial Intelligence and Computational Intelligence (AICI 2024), Jan 2024, Hanoi (Vietnam), Vietnam. pp.47-53, ⟨10.1007/978-3-031-63929-6_6⟩
Communication dans un congrès hal-04436177 v1
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Belief Functions on the Real Line defined by Transformed Gaussian Random Fuzzy Numbers

Thierry Denoeux
IEEE International Conference on Fuzzy Systems (FUZZ 2023), IEEE, Aug 2023, Songdo Incheon, South Korea. pp.1-6, ⟨10.1109/FUZZ52849.2023.10309755⟩
Communication dans un congrès hal-04180823 v1
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Stable clustering ensemble based on evidence theory

Haijie Fu , Xiaodong Yue , Wei Liu , Thierry Denoeux
IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. pp.2046-2050, ⟨10.1109/ICIP46576.2022.9897984⟩
Communication dans un congrès hal-03835983 v1
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Evidence fusion with contextual discounting for multi-modality medical image segmentation

Ling Huang , Thierry Denoeux , Pierre Vera , Su Ruan
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Sep 2022, Singapour, Singapore. pp.401-411, ⟨10.1007/978-3-031-16443-9_39⟩
Communication dans un congrès hal-03835981 v1
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Trusted Multi-View Deep Learning with Opinion Aggregation

Wei Liu , Xiaodong Yue , Yufei Chen , Thierry Denoeux
36th AAAI Conference on Artificial Intelligence (AAAI-22), Feb 2022, Virtual conference, United States. pp.7585-7593, ⟨10.1609/aaai.v36i7.20724⟩
Communication dans un congrès hal-03835985 v1
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An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers

Thierry Denœux
7th International Conference on Belief Functions (BELIEF 2022), Oct 2022, Paris, France. pp.57-66, ⟨10.1007/978-3-031-17801-6_6⟩
Communication dans un congrès hal-03830648 v1
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A Distributional Approach for Soft Clustering Comparison and Evaluation

Andrea Campagner , Davide Ciucci , Thierry Denœux
7th International Conference on Belief Functions (BELIEF 2022), Oct 2022, Paris, France. pp.3-12, ⟨10.1007/978-3-031-17801-6_1⟩
Communication dans un congrès hal-03830510 v1
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Deep Neural Networks with Prior Evidence for Bladder Cancer Staging

Xiaoqian Zhou , Xiaodong Yue , Zhikang Xu , Thierry Denoeux , Yufei Chen
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2021), Dec 2021, Houston, United States. pp.1221-1226, ⟨10.1109/BIBM52615.2021.9669848⟩
Communication dans un congrès hal-03511167 v1

Covid-19 classification with deep neural network and belief functions

Ling Huang , Su Ruan , Thierry Denoeux
The Fifth International Conference on Biological Information and Biomedical Engineering (BIBE2021), Jul 2021, Hangzhou, China. pp.1-4, ⟨10.1145/3469678.3469719⟩
Communication dans un congrès hal-03200802 v1

Belief function-based semi-supervised learning for brain tumor segmentation

Ling Huang , Su Ruan , Thierry Denoeux
18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Apr 2021, Nice, France. pp.160-164, ⟨10.1109/ISBI48211.2021.9433885⟩
Communication dans un congrès hal-03200801 v1
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Fusion of evidential CNN classifiers for image classification

Zheng Tong , Philippe Xu , Thierry Denœux
6th International Conference on Belief Functions (BELIEF 2021), Oct 2021, Shanghai, China. pp.168-176, ⟨10.1007/978-3-030-88601-1_17⟩
Communication dans un congrès hal-03511144 v1
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Evidential Segmentation of 3D PET/CT Images

Ling Huang , Su Ruan , Pierre Decazes , Thierry Denoeux
6th International Conference on Belief Functions (BELIEF 2021), Sep 2021, Shanghai, China. pp.159-167, ⟨10.1007/978-3-030-88601-1_16⟩
Communication dans un congrès hal-03511154 v1
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Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation

Ling Huang , Thierry Denœux , David Tonnelet , Pierre Decazes , Su Ruan
International Workshop on Machine Learning in Medical Imaging (MLMI 2021), Sep 2021, Strasbourg, France. pp.30-39, ⟨10.1007/978-3-030-87589-3_4⟩
Communication dans un congrès hal-03511317 v1
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Segmentation de séries temporelles par modèles de mélange avec contraintes sur les instants d’apparition des classes

Emmanuel Ramasso , Thierry Denoeux
28èmes Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2019), Nov 2019, Alès, France
Communication dans un congrès hal-02472681 v1
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Multistep Prediction using Point-Cloud Approximation of Continuous Belief Functions

Thierry Denoeux , Orakanya Kanjanatarakul
IEEE International Conference on Fuzzy Systems (FUZZ 2019), Jun 2019, New Orleans, United States. pp.1-6, ⟨10.1109/FUZZ-IEEE.2019.8858988⟩
Communication dans un congrès hal-02471564 v1
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ConvNet and Dempster-Shafer Theory for Object Recognition

Zheng Tong , Philippe Xu , Thierry Denoeux
13th international conference on Scalable Uncertainty Management (SUM 2019), Dec 2019, Compiègne, France. pp.368-381, ⟨10.1007/978-3-030-35514-2_27⟩
Communication dans un congrès hal-02471559 v1
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Making Set-valued Predictions in Evidential Classification: A Comparison of Different Approaches

Liyao Ma , Thierry Denoeux
11th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2019), Jun 2019, Gand, Belgium. pp.276-285
Communication dans un congrès hal-02471586 v1

MACHINE LEARNING AS A DECISION SUPPORT TOOL FOR WASTEWATER TREATMENT PLANT OPERATION

Thibault Mercier , Abel Dembele , Thierry Denoeux , Pascal Blanc
WATER RESOURCES MANAGEMENT 2019, May 2019, Alicante, Spain. pp.103-107, ⟨10.2495/WRM190101⟩
Communication dans un congrès hal-03781572 v1
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An Axiomatic Utility Theory for Dempster-Shafer Belief Functions

Thierry Denoeux , Prakash P Shenoy
11th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2019), Jun 2019, Gand, Belgium. pp.145-155
Communication dans un congrès hal-02471580 v1
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Collaborative Evidential Clustering

Yixuan Qiao , Shoumei Li , Thierry Denoeux
Fuzzy Techniques: Theory and Applications - International Fuzzy Systems Association World Congress (IFSA/NAFIPS 2019), Jun 2019, Louisiana, United States. pp.518-530, ⟨10.1007/978-3-030-21920-8_46⟩
Communication dans un congrès hal-02471562 v1
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Flexibility of drinking water systems: An opportunity to reduce CO2 emissions

Chouaib Mkireb , Abel Dembele , Thierry Denoeux , Antoine Jouglet
8th International conference on Energy and Sustainability, 2019, Coimbra, Portugal. pp.134-144
Communication dans un congrès hal-02438491 v1
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An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization

Orakanya Kanjanatarakul , Siwarat Kuson , Thierry Denoeux
5th International Conference on Belief Functions (BELIEF 2018), Sep 2018, Compiègne, France. pp.155-162, ⟨10.1007/978-3-319-99383-6_20⟩
Communication dans un congrès hal-02553215 v1

Optimisation de la flexibilité énergétique des systèmes d’eau potable sur les marchés de l’énergie

Chouaib Mkireb , Abel Dembélé , Antoine Jouglet , Thierry Denoeux
19e congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2018), 2018, Lorient, France
Communication dans un congrès hal-02006701 v1
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Logistic regression revisited: belief function analysis

Thierry Denoeux
5th International Conference on Belief Functions (BELIEF 2018), Sep 2018, Compiègne, France. pp.57-64, ⟨10.1007/978-3-319-99383-6_8⟩
Communication dans un congrès hal-02553205 v1
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A linear programming approach to optimize demand response for water systems under water demand uncertainties

Chouaib Mkireb , Abel Dembele , Antoine Jouglet , Thierry Denoeux
7th IEEE International Conference on Smart Grid and Clean Energy Technologies (ICSGCE 2018), 2018, Kajang, Malaysia. pp.206-211, ⟨10.1109/ICSGCE.2018.8556696⟩
Communication dans un congrès hal-02006661 v1
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Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric

Chunfeng Lian , Su Ruan , Thierry Denoeux , Hua Li , Pierre Vera
14th IEEE International Symposium on Biomedical Imaging (ISBI 2017), Apr 2017, Melbourne, Australia. pp.1177-1180, ⟨10.1109/ISBI.2017.7950726⟩
Communication dans un congrès hal-02553198 v1
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Distributed data fusion in the Dempster-Shafer framework

Orakanya Kanjanatarakul , Thierry Denoeux
2017 12th System of Systems Engineering Conference (SoSE), Jun 2017, Waikoloa, United States. pp.1-6, ⟨10.1109/SYSOSE.2017.7994954⟩
Communication dans un congrès hal-03781559 v1
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Constrained interval-valued linear regression model

Feng Li , Shoumei Li , Nana Tang , Thierry Denoeux
20th International Conference on Information Fusion (FUSION 2017), Jul 2017, Xi'an, China. pp.1-8, ⟨10.23919/ICIF.2017.8009676⟩
Communication dans un congrès hal-02553123 v1
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Accurate Tumor Segmentation In FDG-PET Images With Guidance Of Complementary CT Images

Chunfeng Lian , Su Ruan , Thierry Denoeux , Yu Guo , Pierre Vera
IEEE International Conference on Image Processing (ICIP 2017), Sep 2017, Beijing, China. pp.4447-4451, ⟨10.1109/ICIP.2017.8297123⟩
Communication dans un congrès hal-02553135 v1
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Scheduling Demand Response on the French Spot Power Market for Water Distribution Systems by Optimizing the Pump Scheduling.

Chouaib Mkireb , Abel Dembele , Antoine Jouglet , Thierry Denoeux
3th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2017), 2017, Seeon-Seebruck, Germany. pp.172-174
Communication dans un congrès hal-01721117 v1
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Identification of Elastic Properties Based on Belief Function Inference

Liqi Sui , Pierre Feissel , Thierry Denoeux
Fourth International Conference Belief Functions: Theory and Applications (BELIEF 2016), Sep 2016, Prague, Czech Republic. pp.182-189, ⟨10.1007/978-3-319-45559-4_19⟩
Communication dans un congrès hal-01397977 v1
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Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering

Thierry Denoeux , Orakanya Kanjanatarakul
8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016), Sep 2016, Rome, Italy. pp.157-164, ⟨10.1007/978-3-319-42972-4_20⟩
Communication dans un congrès hal-01397981 v1

Joint Feature Transformation and Selection Based on Dempster-Shafer Theory

Chunfeng Lian , Su Ruan , Thierry Denoeux
16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-2016), Jun 2016, Eindhoven, Netherlands. pp.253-261, ⟨10.1007/978-3-319-40596-4_22⟩
Communication dans un congrès hal-01397984 v1
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Evidential Clustering: A Review

Thierry Denoeux , Orakanya Kanjanatarakul
5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2016), Nov 2016, Da Nang, Vietnam. pp.24-35, ⟨10.1007/978-3-319-49046-5_3⟩
Communication dans un congrès hal-01397990 v1
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Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images

Chunfeng Li , Su Ruan , Thierry Denoeux , Hua Li , Pierre Vera
19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2016), Oct 2016, Athène, Greece. pp.61-69, ⟨10.1007/978-3-319-46723-8_8⟩
Communication dans un congrès hal-01397998 v1
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k-EVCLUS: Clustering Large Dissimilarity Data in the Belief Function Framework

Orakanya Kanjanatarakul , Songsak Sriboonchitta , Thierry Denoeux
4th International Conference on Belief Functions: Theory and Applications (BELIEF 2016), Sep 2016, Prague, Czech Republic. pp.105-112, ⟨10.1007/978-3-319-45559-4_11⟩
Communication dans un congrès hal-01397949 v1

Cancer Therapy Outcome Prediction based on Dempster-Shafer Theory and PET Imaging

C. Lian , H. Li , T. Denoeux , Hc. Chen , C. Robinson et al.
AAPM meeting, Jul 2015, Anaheim California, United States
Communication dans un congrès hal-01659573 v1
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Evidential multinomial logistic regression for multiclass classifier calibration

Philippe Xu , Franck Davoine , Thierry Denoeux
18th International Conference on Information Fusion, Jul 2015, Washington D.C., United States. pp.1106-1112
Communication dans un congrès hal-01271569 v1
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Identification en contexte incertain par la théorie des fonctions de croyance

Liqi Sui , Pierre Feissel , Thierry Denoeux
12e Colloque national en calcul des structures, CSMA, May 2015, Giens, France
Communication dans un congrès hal-01514285 v1

Dempster-Shafer theory based feature selection with sparse constraint for outcome prediction in cancer therapy

Chunfeng Lian , Hua Li , Thierry Denoeux , Pierre Vera , Su Ruan
In MICCAI - International Workshop on Machine Learning in Medical Imaging, 2015, Munich, Germany. ⟨10.1007/978-3-319-24574-4_83⟩
Communication dans un congrès hal-01659585 v1

Estimating the energy consumption of a PHEV using vehicle and on-board navigation data

Ourabah Abdel-Djalil , Benjamin Quost , Gayed Atef , Thierry Denoeux
2015 IEEE Intelligent Vehicles Symposium (IV 2015), Jun 2015, Seoul, South Korea. pp.755-760
Communication dans un congrès hal-01271557 v1
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Fusion of Pairwise Nearest-Neighbor Classifiers Based on Pairwise-Weighted Distance Metric and Dempster-Shafer Theory

Lianmeng Jiao , Thierry Denoeux , Quan Pan
17th International Conference on Information Fusion, Jul 2014, Salamanca, Spain. pp.1-17
Communication dans un congrès hal-01127789 v1
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Evidential Distributed Dynamic Map for Cooperative Perception in VANets

Nicole El Zoghby , Véronique Cherfaoui , Thierry Denoeux
IEEE intelligent Vehicles Symposium (IV 2014), Jun 2014, Dearborn, Michigan, United States. pp.1421-1426
Communication dans un congrès hal-01023914 v1
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Predicting Stock Returns in the Capital Asset Pricing Model Using Quantile Regression and Belief Functions

K Autchariyapanitkul , S Chanaim , S Sriboonchitta , T Denoeux
Third International Conference Belief Functions: Theory and Applications, F. Cuzzolin, Sep 2014, Oxford, United Kingdom. p. 219-226, ⟨10.1007/978-3-319-11191-9_24⟩
Communication dans un congrès hal-01127790 v1

Evidential Logistic Regression for Binary SVM Classifier Calibration

Philippe Xu , Franck Davoine , Thierry Denoeux
Third International Conference on Belief Functions (BELIEF 2014), Sep 2014, Oxford, United Kingdom. pp.49-57
Communication dans un congrès hal-01137357 v1
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Evidential combination of pedestrian detectors

Philippe Xu , Franck Davoine , Thierry Denoeux
British Machine Vision Conference, Sep 2014, Nottingham, United Kingdom. pp.1-14
Communication dans un congrès hal-01119522 v1
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Transformation de scores SVM en fonctions de croyance

Philippe Xu , Franck Davoine , Thierry Denoeux
19ème congrès national sur la Reconnaissance de Formes et l'Intelligence Artificielle (RFIA'14), Jun 2014, Rouen, France
Communication dans un congrès hal-00988584 v1
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Training and evaluating classifiers from evidential data: application to E2M tree pruning

Nicolas Sutton-Charani , Sébastien Destercke , Thierry Denoeux
Third International Conference on Belief Functions, BELIEF 2014, Sep 2014, Oxford, United Kingdom
Communication dans un congrès hal-01923324 v1
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Estimation and Prediction Using Belief Functions: Application to Stochastic Frontier Analysis

Orakanya Kanjanatarakul , Nachatchapong Kaewsompong , Songsak Sriboonchitta , Thierry Denoeux
8th International Conference of the Thailand Econometric Society, Jan 2015, Chiang-Mai, Thailand. pp.171-184, ⟨10.1007/978-3-319-13449-9_12⟩
Communication dans un congrès hal-01127792 v1
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Application of E2M Decision Trees to Rubber Quality Prediction

Nicolas Sutton Charani , Sébastien Destercke , Thierry Denoeux
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014), Jul 2014, Montpellier, France. pp.107-116, ⟨10.1007/978-3-319-08795-5_12⟩
Communication dans un congrès hal-01063863 v1
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Fusion d'informations sur des images sursegmentées : Une application à la compréhension de scènes routières

Philippe Xu , Franck Davoine , Thierry Denoeux , Jean-Baptiste Bordes
Orasis, Congrès des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France
Communication dans un congrès hal-00829315 v1
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Optimal object association from pairwise evidential mass functions

Nicole El Zoghby , Véronique Cherfaoui , Thierry Denoeux
16th International Conference on Information Fusion (FUSION 2013), Jul 2013, Istanbul, Turkey. pp.774-780
Communication dans un congrès hal-00862245 v1
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Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding

Philippe Xu , Franck Davoine , Jean-Baptiste Bordes , Huijing Zhao , Thierry Denoeux
Thirteenth IAPR International Conference on Machine Vision Applications, May 2013, Kyoto, Japan. pp.189-193
Communication dans un congrès hal-00932896 v1
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Learning decision trees from uncertain data with an evidential EM approach

Nicolas Sutton Charani , Sébastien Destercke , Thierry Denoeux
12th International Conference on Machine Learning and Applications (ICMLA 2013), Dec 2013, Miami, United States. pp.1-6
Communication dans un congrès hal-00933177 v1
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Using Dempster-Shafer Theory to model uncertainty in climate change and environmental impact assessments

Nadia Ben Abdallah , Nassima Mouhous-Voyneau , Thierry Denoeux
International Conference on Information Fusion, Jul 2013, Istanbul, Turkey. pp.2117-2124
Communication dans un congrès hal-00932975 v1
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Information fusion and evidential grammars for object class segmentation

Jean-Baptiste Bordes , Philippe Xu , Franck Davoine , Huijing Zhao , Thierry Denoeux
Fifth IROS Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Nov 2013, Tokyo, Japan. pp.165-170
Communication dans un congrès hal-00932899 v1
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Evidential Grammars for Image Interpretation. Application to multimodal traffic scene understanding

Jean-Baptiste Bordes , Franck Davoine , Philippe Xu , Thierry Denoeux
Third International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, Jul 2013, Beijing, China. pp.65-78
Communication dans un congrès hal-00932897 v1
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Distributed Data fusion for detecting Sybil attacks in VANETs

Nicole El Zoghby , Véronique Cherfaoui , Bertrand Ducourthial , Thierry Denoeux
2nd International Conference on Belief Functions (BELIEF 2012), May 2012, Compiègne, France. pp.351-358, ⟨10.1007/978-3-642-29461-7_41⟩
Communication dans un congrès hal-00756330 v1
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Partially-Hidden Markov Models.

Emmanuel Ramasso , Thierry Denoeux , Noureddine Zerhouni
2nd International Conference on Belief Functions, BELIEF'12., May 2012, Compiègne, France. pp.1-8
Communication dans un congrès hal-00719967 v1
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Ranking from pairwise comparisons in the belief functions framework

Marie-Hélène Masson , Thierry Denoeux
2nd International Conference on Belief Functions (BELIEF 2012), May 2012, Compiègne, France. pp.311-318
Communication dans un congrès hal-00747820 v1
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Fusion distribuée évidentielle pour la détection d'attaques sybil dans un réseau de véhicules.

Nicole El Zoghby , Véronique Cherfaoui , Bertrand Ducourthial , Thierry Denoeux
LFA 2012, Nov 2012, Compiègne, France. pp.63-70
Communication dans un congrès hal-00756336 v1
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Arbres de classification construits à partir de fonctions de croyance

Nicolas Sutton-Charani , Sébastien Destercke , Thierry Denoeux
Rencontres francophones sur la Logique Floue et ses Applications (LFA 2012), Nov 2012, Compiègne, France
Communication dans un congrès hal-01923310 v1
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Classification trees based on belief functions

Nicolas Sutton Charani , Sébastien Destercke , Thierry Denoeux
2nd International Conference on Belief Functions (BELIEF 2012), May 2012, Compiègne, France. pp.77-84, ⟨10.1007/978-3-642-29461-7_9⟩
Communication dans un congrès istex hal-00723989 v1
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Self-stabilizing Distributed Data Fusion

B Ducourthial , Véronique Cherfaoui , Thierry Denoeux
14th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2012), Oct 2012, Toronto, Canada. pp.148-162, ⟨10.1007/978-3-642-33536-5_15⟩
Communication dans un congrès hal-00794173 v1

Conditioning in Dempster-Shafer Theory: Prediction vs. Revision

Didier Dubois , Thierry Denoeux
2nd International Conference on Belief Functions (2012), May 2012, Compiègne, France. pp.385-392, ⟨10.1007/978-3-642-29461-7_45⟩
Communication dans un congrès istex hal-03413941 v1
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CEVCLUS: Constrained evidential clustering of proximity data

Violaine Antoine , Benjamin Quost , Marie-Hélène Masson , Thierry Denoeux
7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2011), Aug 2011, Aix-Les-Bains, France. pp.876-882
Communication dans un congrès hal-00651392 v1

Ordonnancement d'alternatives dans le cadre de la théorie des fonctions de croyance.

Marie-Hélène Masson , Li Qiang , Thierry Denoeux
Rencontres Francophones sur la Logique Floue et ses Applications, Nov 2010, Lannion, France. pp.161-167
Communication dans un congrès hal-00553513 v1

CECM: Adding pairwise constraints to evidential clustering

Violaine Antoine , Benjamin Quost , Marie-Hélène Masson , Thierry Denoeux
2010 IEEE International Conference on Fuzzy Systems (Fuzz'IEEE 2010), Jul 2010, Barcelona, Spain. pp.879-886
Communication dans un congrès hal-00491424 v1

Evidential multi-Label classification approach to learning from data with imprecise labels

Zoulficar Younes , Fahed Abdallah , Thierry Denoeux
13th Int. Conf. on Information Processing and Management of Uncertainty (IPMU 2010), Jun 2010, Dortmund, Germany. pp.119-128
Communication dans un congrès hal-00553529 v1
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Semi-supervised feature extraction using independent factor analysis

Latifa Oukhellou , Etienne Côme , Patrice Aknin , Thierry Denoeux
ICOR, 9th International Conference on Operations Research, Feb 2010, La Havanne, Cuba. 8p
Communication dans un congrès hal-00615209 v1

Fuzzy Multi-Label Learning Under Veristic Variables

Zoulficar Younes , Fahed Abdallah , Thierry Denoeux
2010 IEEE International Conference on Fuzzy Systems (FUZZ‐IEEE 2010), Jul 2010, Barcelona, Spain. pp.1696-1703
Communication dans un congrès hal-00553525 v1

Statistical Inference with Belief Functions and Possibility Measures : a discussion of basic assumptions

Didier Dubois , Thierry Denoeux
5th International Conference on Soft Methods in Probability and Statistics (SMPS 2010), Sep 2010, Oviedo, Spain. pp.217-225, ⟨10.1007/978-3-642-14746-3_27⟩
Communication dans un congrès istex hal-00553509 v1

Clustering fuzzy data using the fuzzy EM algorithm

Benjamin Quost , Thierry Denoeux
Fourth International Conference on Scalable Uncertainty Management (SUM 2010), Sep 2010, Toulouse, France. pp.333-346
Communication dans un congrès hal-00491428 v1

Maximal likelihood from evidential data: an extension of the EM algorithm

Thierry Denoeux
Soft Methods in Probability and Statistics (SMPS 2010), Sep 2010, Oviedo, Spain. pp.181-188
Communication dans un congrès hal-00553506 v1
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Multisensor data fusion for OD matrix estimation

Krystyna Biletska , Marie-Hélène Masson , Sophie Midenet , Thierry Denoeux
IEEE International Conference on Systems, Man and Cybernetics, Oct 2009, San Antonio, United States. pp.1-6
Communication dans un congrès hal-00443745 v1
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Fuzzy modelling of sensor data for the estimation of an origin-destination matrix

Krystyna Biletska , Sophie Midenet , Marie-Hélène Masson , Thierry Denoeux
IFSA/EUSFLAT 2009, Jul 2009, Lisbon, Portugal. pp.849-854
Communication dans un congrès hal-00443748 v1
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Belief Functions and Cluster Ensembles

Marie-Hélène Masson , Thierry Denoeux
ECSQARU 2009, Jul 2009, Verona, Italy. pp.323-334
Communication dans un congrès hal-00443737 v1
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Interpretation and Computation of alpha-Junctions for Combining Belief Functions

Frédéric Pichon , Thierry Denoeux
6th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '09), 2009, Durham, United Kingdom
Communication dans un congrès hal-00450984 v1

Pertinence et Sincérité en Fusion d'Informations

Didier Dubois , Thierry Denoeux
Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2009), 2009, Annecy, France. pp.23-30
Communication dans un congrès hal-00450980 v1

A state estimation method for multiple model systems using belief function theory

Ghalia Nassreddine , Fahed Abdallah , Thierry Denoeux
FUSION '09, Jul 2009, Seattle, Washington, United States. pp.506-513
Communication dans un congrès hal-00450209 v1

Learning from data with uncertain labels by boosting credal classifiers

Benjamin Quost , Thierry Denoeux
The 15th ACM SIGKDD Conference on Knwledge Discovery and Data Mining, Jun 2009, Paris, France. pp.38-47
Communication dans un congrès hal-00445491 v1

ECM : Algorithme évidentiel des c-moyennes avec contraintes

Violaine Antoine , Benjamin Quost , Marie-Hélène Masson , Thierry Denoeux
Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2009),, 2009, Annecy, France. pp.275-282
Communication dans un congrès hal-00450971 v1

Map matching algorithm using interval analysis and Dempster-Shafer theory

Ghalia Nassreddine , Fahed Abdallah , Thierry Denoeux
IEEE IVS09, Jun 2009, China. pp.494 - 499, ⟨10.1109/IVS.2009.5164328⟩
Communication dans un congrès hal-00450216 v1

An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification

Zoulficar Younes , Fahed Abdallah , Thierry Denoeux
SUM 2009, Sep 2009, United States. pp.297-308, ⟨10.1007/978-3-642-04388-8_23⟩
Communication dans un congrès istex hal-00450223 v1
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Short-time OD matrix estimation for a complex junction using Fuzzy-Timed High-Level Petri Nets

Krystyna Biletska , Marie-Hélène Masson , Sophie Midenet , Thierry Denoeux
12th International IEEE Conference on Intelligent Transportation Systems, Oct 2009, St. Louis, United States. pp.1-6
Communication dans un congrès hal-00443746 v1

Pertinence et sincérité en fusion d'informations

Didier Dubois , Thierry Denoeux
Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2009), Nov 2009, Annecy, France. pp.23-30
Communication dans un congrès hal-03442442 v1

Statistical inference using belief functions: a reappraisal of General Bayes Theorem

Thierry Denoeux , Didier Dubois
Second Workshop of the ERCIM working group on Computing and Statistics (ERCIM 2009), ERCIM: European Consortium for Informatics and Mathematics, Oct 2009, Limassol, Cyprus
Communication dans un congrès hal-03434438 v1

Analyse en composantes indépendantes parcimonieuse pour le diagnostic de systèmes répartis

Zohra-Leïla Cherfi , Latifa Oukhellou , Patrice Aknin , Thierry Denoeux
XXe colloque GRETSI, 2009, Dijon, France
Communication dans un congrès hal-00450986 v1
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Partially-supervised learning in Independent Factor Analysis

Etienne Côme , Latifa Oukhellou , Patrice Aknin , Thierry Denoeux
European Symposium on Artificial Neural Networks (ESANN), Apr 2009, Bruges, Belgium. pp.53--58
Communication dans un congrès hal-00446716 v1

A new method for state estimation of dynamic system based on Dempster Shafer theory

Ghalia Nassreddine , Fahed Abdallah , Thierry Denoeux
ACTEA apos;09, Jul 2009, Lebanon. pp.101 - 106, ⟨10.1109/ACTEA.2009.5227922⟩
Communication dans un congrès hal-00450211 v1
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Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis

Etienne Côme , Latifa Oukhellou , Thierry Denoeux , Patrice Aknin
International Conference on Artificial Neural Network, Sep 2009, Limassol, Cyprus. pp.416-425
Communication dans un congrès hal-00461363 v1
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Refined classifier combination using belief functions

Benjamin Quost , Marie-Hélène Masson , Thierry Denoeux
11th International Conference on Information Fusion (FUSION ‘08), Jul 2008, Germany. p. 776-782
Communication dans un congrès hal-00338899 v1
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Adapting a Combination Rule to Non-Independent Information Sources

Benjamin Quost , Thierry Denoeux , Marie-Hélène Masson
12th Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Jul 2008, Spain. p. 448-455
Communication dans un congrès hal-00338906 v1
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Mixture model estimation with soft labels

Etienne Côme , Latifa Oukhellou , Thierry Denoeux , Patrice Aknin
Fourth International Workshop on Soft Methods in Probabilities and Statistics, Sep 2008, Toulouse, France. pp.165-174
Communication dans un congrès hal-00446806 v1
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Noiseless Independent Factor Analysis with mixing constraints in a semi-supervised framework. Application to railway device fault diagnosis.

Etienne Côme , Latifa Oukhellou , Patrice Aknin , Thierry Denoeux
International Conference on Artificial Neural Networks (ICANN),, Sep 2009, Limassol, Cyprus. pp.416-425, ⟨10.1007/978-3-642-04277-5_42⟩
Communication dans un congrès hal-00446628 v1

General Correction Mechanisms for Weakening or Reinforcing Belief Functions

David Mercier , Thierry Denoeux , Marie-Hélène Masson
2006 9th International Conference on Information Fusion, Jul 2006, Florence, France. pp.1-7, ⟨10.1109/ICIF.2006.301594⟩
Communication dans un congrès hal-03522210 v1
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Vers un Modèle de Fusion de Décisions de Lecteurs d'Adresses Postales Basé sur la Théorie des Fonctions de Croyance

David Mercier , Genevieve Cron , Thierry Denoeux , Marie-Hélène Masson
Sep 2006, pp.79-84
Communication dans un congrès hal-00119604 v1

One-against-all combination in the framework of belief functions

Benjamin Quost , Thierry Denoeux , Marie-Hélène Masson
Information Processing with Management of Uncertainty in Knowledge-based Systems, 2006, Paris, France. pp.356-363
Communication dans un congrès hal-00445488 v1

Pairwise Classifier Combination in the Framework of Belief Functions

Benjamin Quost , Thierry Denoeux , Marie-Hélène Masson
International Conference on Information Fusion, Jul 2005, Philadelphie, PA, United States. pp.xxx-xxx
Communication dans un congrès hal-00445486 v1

Contextual discounting of belief functions

Mercier David , Benjamin Quost , Thierry Denoeux
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Jul 2005, Barcelone, Spain. pp.552-562
Communication dans un congrès hal-00445484 v1

Combinaison de classifieurs binaires dans le cadre du Modèle des Croyances Transférables

Benjamin Quost , Thierry Denoeux , Marie-Hélène Masson
Rencontres Francophones sur la Logique Floue et ses Applications (LFA), Nov 2004, Nantes, France. pp.123-130
Communication dans un congrès hal-00445481 v1

Handling different forms of uncertainty in regression analysis: a fuzzy belief structure approach

Simon Petitrenaud , Thierry Denoeux
Symbolic and quantitative approaches to reasoning and uncertainty (ECSQARU\\\'99), 1999, London (U.K.), Unknown Region. pp.340--351
Communication dans un congrès hal-01434720 v1

Regression analysis using fuzzy evidence theory.

Simon Petitrenaud , Thierry Denoeux
Proceedings of FUZZ-IEEE\'99, 1999, Seoul, South Korea. pp.1229--1234
Communication dans un congrès hal-01434728 v1

Application de la théorie des fonctions de croyance en régression

Simon Petitrenaud , Thierry Denoeux
Rencontres Francophones sur la Logique Floue et ses Applications, 1999, Valenciennes, France. pp.13--20
Communication dans un congrès hal-01434724 v1

A Neuro-Fuzzy model for missing data reconstruction

Thierry Denoeux , Simon Petitrenaud
IEEE Workshop on Emerging Technologies, Intelligent Measurement and Virtual Systems, 1998, Saint-Paul (MN, USA), Unknown Region
Communication dans un congrès hal-01437170 v1

A Fuzzy-neuro system for reconstruction of multi-sensor information

Simon Petitrenaud , Thierry Denoeux
Fuzzy-Neuro Systems\'98, 1998, Munich, Germany. pp.322--329
Communication dans un congrès hal-01437174 v1

Performance analysis of a MLP weight initialization procedure

M. Karouia , Régis Lengellé , Thierry Denoeux
ESANN'95, Apr 1995, Bruxelles, Belgium
Communication dans un congrès hal-02861573 v1

Influence of weight initialization on generalization performance

M. Karouia , Thierry Denoeux , Régis Lengellé
ICANN'95, Oct 1995, Paris, France
Communication dans un congrès hal-02861581 v1

Weight initialization in BP networks using discriminant analysis techniques

M. Karouia , Régis Lengellé , Thierry Denoeux
Neuro-Nimes 1994, Dec 1994, Nimes, France
Communication dans un congrès hal-02861610 v1

Performance comparison of two constructive algorithms for multilayer perceptrons

M. Karouia , Régis Lengellé , Thierry Denoeux
ANNIE'93, 1993, Saint-Louis, United States
Communication dans un congrès hal-02861613 v1

Interpolation of stationary non linear time series by an optimized neural network

F Qendro , Régis Lengellé , Thierry Denoeux , Paul Gaillard
ICANN'93, SEPTEMBRE 1993, Sep 1993, Amsterdam, Netherlands
Communication dans un congrès hal-02861629 v1

Automatic construction of multilayer networks for non linear regression

Thierry Denoeux , Régis Lengellé
ICANN'93, Sep 1993, Amsterdam, Netherlands
Communication dans un congrès hal-02861685 v1

Production rules generation and refinement in back-propagation networks

Thierry Denoeux , Régis Lengellé
ANNIE'92, Nov 1992, Saint-Louis, United States
Communication dans un congrès hal-02861689 v1

Optimizing multilayer networks layer per layer without backpropagation

Régis Lengellé , Thierry Denoeux
ICANN'92, Sep 1992, Brighton, United Kingdom
Communication dans un congrès hal-02861708 v1

Initialization of weights in a feedforward network using prototypes

Thierry Denoeux , Régis Lengellé , S. Canu
ICANN-91, Jun 1991, Espoo, Finland
Communication dans un congrès hal-02861803 v1

Ambiguity and distance rejection using multilayer networks

Régis Lengellé , Y. Hao , Nicolas Schaltenbrand , Thierry Denoeux
ANNIE'91, Oct 1991, Saint Louis, United States
Communication dans un congrès hal-02861811 v1

Belief Functions: Theory and Applications

Thierry Denœux , Eric Lefevre , Zhunga Liu , Frédéric Pichon
6th International Conference (BELIEF 2021), Oct 2021, Shanghai, China. 12915, Springer International Publishing, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-88601-1⟩
Proceedings/Recueil des communications hal-03520236 v1

Integrated Uncertainty in Knowledge Modelling and Decision Making.

Van-Nam Huynh , Masahiro Inuiguchi , Dang Hung Tran , Thierry Denoeux
6th International Symposium (IUKM 2018), springer, 2018, ⟨10.1007/978-3-319-75429-1⟩
Proceedings/Recueil des communications hal-02553244 v1

Belief Functions: Theory and Applications

Sébastien Destercke , Thierry Denoeux , Fabio Cuzzolin , Arnaud Martin
5th International Conference on Belief Functions (BELIEF 2018), Sep 2018, Compiègne, France. 11069, Springer, 2018, Lecture Notes in Computer Science
Proceedings/Recueil des communications hal-01888405 v1

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Sébastien Destercke , Thierry Denoeux
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty 2015, Jul 2015, Compiègne, France. 9161, Springer, 2015, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-20807-7⟩
Proceedings/Recueil des communications hal-01200698 v1
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Representations of Uncertainty in Artificial Intelligence: Probability and Possibility

Thierry Denoeux , Didier Dubois , Henri Prade
A Guided Tour of Artificial Intelligence Research Volume I: Knowledge Representation, Reasoning and Learning, Springer International Publishing, pp.69-117, 2020, ⟨10.1007/978-3-030-06164-7_3⟩
Chapitre d'ouvrage hal-02921346 v1
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Representations of Uncertainty in AI: Beyond Probability and Possibility

Thierry Denoeux , Didier Dubois , Henri Prade
A Guided Tour of Artificial Intelligence Research (vol. I), Springer International Publishing, pp.119-150, 2020, ⟨10.1007/978-3-030-06164-7_4⟩
Chapitre d'ouvrage hal-02921351 v1
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Evidential Deep Neural Networks for Uncertain Data Classification

Bin Yuan , Xiaodong Yue , Ying Lv , Thierry Denoeux
Knowledge Science, Engineering and Management (Proceedings of KSEM 2020), Springer Verlag, pp.427-437, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-55393-7_38⟩
Chapitre d'ouvrage hal-02921338 v1
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Quality of Information Sources in Information Fusion

Frédéric Pichon , Didier Dubois , Thierry Denoeux
Information Quality in Information Fusion and Decision Making, Springer, pp.31-49, 2019, ⟨10.1007/978-3-030-03643-0_2⟩
Chapitre d'ouvrage hal-02471588 v1
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Quantifying Predictive Uncertainty Using Belief Functions: Different Approaches and Practical Construction

Thierry Denoeux
Kreinovich, V.; Sriboonchitta, S.; Chakpitak, N. Predictive Econometrics and Big Data, 753, Springer, pp.157-176, 2018, Studies in Computational Intelligence-International Journal of Approximate Reasoning, ⟨10.1007/978-3-319-70942-0_8⟩
Chapitre d'ouvrage hal-02553221 v1

Représentations de l'incertitude en intelligence artificielle

Salem Benferhat , Thierry Denoeux , Didier Dubois , Henri Prade
Marquis, Pierre; Papini, Odile; Prade, Henri. Panorama de l'Intelligence Artificielle, 1 : Représentation des connaissances et formalisation des raisonnements (Chapitre 3), Cépaduès Editions, pp.65--121, 2014, 978-2364930414
Chapitre d'ouvrage hal-03252264 v1
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Partially-Hidden Markov Models.

Emmanuel Ramasso , Noureddine Zerhouni , Thierry Denoeux
T. Denoeux & M.H. Masson. Belief Functions : Theory and Applications, AISC 164. Proceedings of the 2nd International Confferencr on Belief Functions, Compiègne, 9-11 Mai 2012., 164, T. Denoeux & M.H. Masson, pp.359-366, 2012, Springer-Verlag Berlin Heidelberg 2012, 978-3-642-29460-0. ⟨10.1007/978-3-642-29461-742⟩
Chapitre d'ouvrage hal-00719577 v1
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Dempster-Shafer reasoning in large partially ordered sets: Applications in Machine Learning

Thierry Denœux , Marie-Hélène Masson
V.-N. Huyn, Y. Nakamori, J. Lawry and M. Inuigushi. Integrated Uncertainty Management and Applications, 68, Springer Berlin Heidelberg, pp.39-54, 2010, Advances in Intelligent and Soft Computing, ⟨10.1007/978-3-642-11960-6_5⟩
Chapitre d'ouvrage hal-00493015 v1

Belief Function Correction Mechanisms

David Mercier , Thierry Denoeux , Marie-Hélène Masson
Foundations of Reasoning under Uncertainty, 249, Springer Berlin Heidelberg, pp.203-222, 2010, Studies in Fuzziness and Soft Computing, ⟨10.1007/978-3-642-10728-3_11⟩
Chapitre d'ouvrage istex hal-03522220 v1
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Confidence Management in Vehicular Network

Véronique Cherfaoui , Thierry Denoeux , Zohra-Leïla Cherfi
H. Moustafa and Y. Zhang. Vehicular Networks: Techniques, Standards and Applica, Taylor and Francis, pp.355-377, 2009, CRC Press
Chapitre d'ouvrage hal-00445111 v1
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Fiabilité de la prévision de pluie par radar en hydrologie urbaine

Thierry Denoeux
Hydrologie. Ecole Nationale des Ponts et Chaussées, 1989. Français. ⟨NNT : ⟩
Thèse tel-00520757 v1