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-04983999v1
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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-04681852v1
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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-05003295v1
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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-05001673v2
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Uncertainty Measures in a Generalized Theory of Evidence

Thierry Denœux

Fuzzy Sets and Systems, 2025, 520, pp.109546. ⟨10.1016/j.fss.2025.109546⟩

Article dans une revue hal-05051974v3
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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-04647034v1
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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-04489184v1
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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-04538062v1
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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-04653616v1
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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-04060251v2
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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-03915957v3
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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-03906379v1
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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-04185605v1
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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-04368249v1
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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-04033265v1
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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-03881727v1
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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-03976318v1
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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-03598586v1
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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-03766589v1
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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-03773273v1
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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-03772732v1
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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-03781537v1
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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-02944558v1
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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-03219203v1
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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-03511108v1
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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-02944550v1
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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-03511126v1
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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-03132386v1
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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-02944536v1
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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-03235749v1
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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-03132379v1
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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-03292324v1
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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-02471590v1
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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-02899208v1
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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-02553269v1
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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-02446134v1
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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-02471548v1
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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-01830389v1
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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-02471545v1
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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-02006658v1
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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-02087829v1
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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-03280916v1
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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-01830439v1
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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-02553110v1
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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-01830386v1
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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-01830441v1

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-02006279v1
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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-01576356v3
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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-01637193v1
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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-01396528v1
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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-01525605v2
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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-01703417v1
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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-01294270v1

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-01275513v1
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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-01294273v1
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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-01294271v1
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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-01324553v1
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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-01154794v1
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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-01294269v1
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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-01294272v1

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-01133430v1
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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-01324491v1
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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-01294268v1
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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-01127794v1
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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-01294267v1
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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-01294274v1
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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-01141281v1
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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-01127787v1
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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-01127788v1
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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-00834177v1
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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-01127784v1
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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-01127786v1
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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-00813021v2
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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-00932879v1
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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-01127783v1
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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-00923311v1
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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-00804343v1
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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-00688783v1

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-00554310v1
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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-00750589v1
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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-00684520v1
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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-00656775v1
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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-00651369v1
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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-00654118v1
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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⟩

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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-00651375v1
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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-00655642v1
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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-00467941v1
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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-00553490v1
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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-00482006v1
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Representing uncertainty on set-valued variables using belief functions

Thierry Denoeux , Zoulficar Younes , Fahed Abdallah

Artificial Intelligence (AIJ), 2010, 174 (7-8), pp.479-499. ⟨10.1016/j.artint.2010.02.002⟩

Article dans une revue hal-00467932v1
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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⟩

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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-00450962v1
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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-00448368v1
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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-00400273v1
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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-00443904v1

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-00445473v1

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-00445476v1

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-00445480v1

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-01434491v1
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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-00453802v1

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-02582969v1

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-02861431v1

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-02861437v1

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-00779570v1

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-00779578v1
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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-04621414v1
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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⟩

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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⟩

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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⟩

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Algebraic Product Is the Only "And-like" Operation for Which Normalized Intersection Is Associative: A Proof

Thierry Denœux , Vladik Kreinovich

5th 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⟩

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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-04180823v1
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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⟩

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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⟩

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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⟩

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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-03830510v1
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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-03830648v1

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-03200802v1
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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⟩

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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⟩

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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⟩

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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⟩

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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-03511154v1
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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-02472681v1
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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-02471559v1
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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-02471564v1
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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-02471586v1

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-03781572v1
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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

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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⟩

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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-02438491v1
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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⟩

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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-02006701v1
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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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

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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

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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

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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⟩

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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

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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

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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

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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⟩

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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

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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

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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

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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⟩

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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-01923324v1
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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-01063863v1
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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-00829315v1
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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-00932896v1
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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-00862245v1
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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-00933177v1
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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-00932975v1
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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-00932899v1
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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-00932897v1
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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-00756330v1
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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-00719967v1
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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-00756336v1
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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-00747820v1
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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-01923310v1
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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-00723989v1

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-03413941v1
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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-00794173v1
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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-00651392v1

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-00553513v1
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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-00615209v1

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-00491424v1

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-00553529v1

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-00553525v1

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-00553509v1

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-00491428v1

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-00553506v1
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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-00443737v1
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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-00443745v1
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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-00443748v1
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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-00450984v1

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-00450980v1

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-00450209v1

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-00445491v1

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-00450971v1

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-00450216v1
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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-00443746v1

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-00450223v1

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-00450986v1

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-03442442v1

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-03434438v1
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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-00446716v1

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-00450211v1
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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-00461363v1
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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-00338899v1
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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-00338906v1
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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-00446806v1
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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-00446628v1

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-03522210v1
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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-00119604v1

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-00445488v1

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-00445486v1

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-00445484v1

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-00445481v1

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-01434720v1

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-01434728v1

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-01434724v1

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-01437170v1

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-01437174v1

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-02861573v1

Influence of weight initialization on generalization performance

M. Karouia , Thierry Denoeux , Régis Lengellé

ICANN'95, Oct 1995, Paris, France

Communication dans un congrès hal-02861581v1

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-02861610v1

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-02861613v1

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-02861629v1

Automatic construction of multilayer networks for non linear regression

Thierry Denoeux , Régis Lengellé

ICANN'93, Sep 1993, Amsterdam, Netherlands

Communication dans un congrès hal-02861685v1

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-02861689v1

Optimizing multilayer networks layer per layer without backpropagation

Régis Lengellé , Thierry Denoeux

ICANN'92, Sep 1992, Brighton, United Kingdom

Communication dans un congrès hal-02861708v1

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-02861811v1

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-02861803v1

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-03520236v1

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-02553244v1

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-01888405v1

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-01200698v1
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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-02921346v1
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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-02921351v1
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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-02921338v1
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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-02471588v1
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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-02553221v1

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-03252264v1
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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-00719577v1

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-03522220v1
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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-00493015v1
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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-00445111v1
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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-00520757v1