Thierry Denoeux

Identifiants chercheurs

IdHAL :

tdenoeux

ORCID :

0000-0002-0660-5436

IdRef :

058663495

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

Article dans une revue (107)

KP2L: Knowledge-driven pyramid prototype learning for semi-supervised medical image segmentation Yuqi Liu,Yufei Chen,Wei Fu,Xiaodong Yue,Thierry Denœux Knowledge-Based Systems, 2026, 340, pp.115662. ⟨10.1016/j.knosys.2026.115662⟩ Article dans une revue hal-05547611v1
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
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
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
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
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
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
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
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
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group Ismaïl Baaj,Zied Bouraoui,Antoine Cornuéjols,Thierry Denoeux,Sébastien Desterckeet al. International Journal of Approximate Reasoning, 2024, 171, pp.109206. ⟨10.1016/j.ijar.2024.109206⟩ Article dans une revue hal-04653616v1
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
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
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
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
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
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
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 Andoet al. Journal of Applied Physics, 2023, 133 (5), pp.053904. ⟨10.1063/5.0134999⟩ Article dans une revue hal-03976318v1
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Evidence-based recommender system for high-entropy alloys Minh-Quyet Ha,Duong-Nguyen Nguyen,Viet-Cuong Nguyen,Takahiro Nagata,Toyohiro Chikyowet al. Nature Computational Science, 2021, 1, pp.470-478. ⟨10.1038/s43588-021-00097-w⟩ Article dans une revue hal-03292324v1
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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-00655629v1
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
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
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
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
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
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
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
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
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
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
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
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-00446583v1
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
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

Communication dans un congrès (120)

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-04674357v1
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-04621423v1
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-04788662v1
Algebraic Product Is the Only &quot;And-like&quot; 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⟩ Communication dans un congrès hal-04436177v1
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
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
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-03835983v1
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-03835981v1
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-03835985v1
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
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
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-03200801v1
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-03511144v1
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
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
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-03511317v1
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-03511167v1
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
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
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
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-02471580v1
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
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-02471562v1
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
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
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
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-02553205v1
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-02006661v1
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-02553215v1
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-02553198v1
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-03781559v1
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-02553123v1
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-02553135v1
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-01721117v1
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-01397981v1
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-01397984v1
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-01397990v1
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-01397949v1
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-01397998v1
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-01397977v1
Cancer Therapy Outcome Prediction based on Dempster-Shafer Theory and PET Imaging C. Lian,H. Li,T. Denoeux,Hc. Chen,C. Robinsonet al. AAPM meeting, Jul 2015, Anaheim California, United States Communication dans un congrès hal-01659573v1
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-01271569v1
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-01514285v1
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-01659585v1
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-01271557v1
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-01023914v1
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, ⟨10.1007/978-3-319-11191-9_6⟩ Communication dans un congrès hal-01137357v1
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-01127790v1
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-01119522v1
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-00988584v1
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
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-01127792v1
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
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-01127789v1
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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, ⟨10.1145/1610555.161056⟩ Communication dans un congrès hal-00445491v1
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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. ⟨10.1007/978-1-4471-2063-6_130⟩ 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
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
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

Pré-publication, Document de travail (2)

Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation Ling Huang,Su Ruan,Pierre Decazes,Thierry Denoeux 2026 Pré-publication, Document de travail hal-04446767v1
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) Zied Bouraoui,Antoine Cornuéjols,Thierry Denœux,Sébastien Destercke,Didier Duboiset al. 2019 Pré-publication, Document de travail hal-03253808v1

Proceedings/Recueil des communications (4)

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
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
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
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

Chapitre d'ouvrage (10)

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
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
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
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
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
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
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
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

Ouvrages (2)

Uncertainty Modelling in Data Science Sébastien Destercke,Thierry Denoeux,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz Springer, 2019, ⟨10.1007/978-3-319-97547-4⟩ Ouvrages hal-02485335v1
Proceedings of Eighth International Symposium on Imprecise Probability: Theories and Application Sébastien Destercke,Thierry Denoeux,Cozman Fabio,Teddy Seidenfeld Université de Technologie de Compiègne, pp.412, 2013, 978-2-913923-35-5 Ouvrages hal-00861990v1

Brevet (3)

Procédé de calcul d’une consigne de gestion de la consommation en carburant et en courant électrique d’un véhicule automobile hybride Abdel-Djalil Ourabah,Benjamin Quost,Thierry Denoeux France, N° de brevet: FR3061470. 2018 Brevet hal-03187172v1
Procédé d’optimisation de la consommation énergétique d’un véhicule hybride Abdel-Djalil Ourabah,Atef Gayed,Benjamin Quost,Thierry Denoeux France, N° de brevet: FR3061471. 2018 Brevet hal-03187178v1
Procédé de calcul d’une consigne de gestion de la consommation en carburant et en courant électrique d’un véhicule automobile hybride Abdel-Djalil Ourabah,Xavier Jaffrezic,Atef Gayed,Benjamin Quost,Thierry Denoeux France, N° de brevet: FR3038277. 2017 Brevet hal-03187170v1

Poster de conférence (3)

Robust cancer treatment outcome prediction dealing with small-sized and imbalanced data from FDG-PET images Chunfeng Lian,Hua Li,Thierry Denoeux,Pierre Vera,Su Ruan MICCAI, Oct 2016, Athènes, Greece Poster de conférence hal-01663945v1
Dempster-Shafer theory based outcome prediction in cancer therapy Chunfeng Lian,Su Ruan,Pierre Vera,Thierry Denoeux Colloque du Groupe d’Etude du Traitement du Signal et des Images, 2015, Lyon, France Poster de conférence hal-01666392v1
Outcome prediction in tumour therapy based on dempster-shafer Theory Chunfeng Lian,Su Ruan,Thierry Denoeux,Pierre Vera International Symposium on Biomedical Imaging, 2015, New-York, United States. ⟨10.1109/ISBI.2015.7163817⟩ Poster de conférence hal-01152874v1

Thèse (1)

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