Thierry Denoeux
Orcid: 0000-0002-0660-5436Affiliations:
- Université de technologie de Compiègne, France
According to our database1,
Thierry Denoeux
authored at least 236 papers
between 1993 and 2023.
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on orcid.org
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on id.loc.gov
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Bibliography
2023
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering.
Int. J. Approx. Reason., November, 2023
Parametric families of continuous belief functions based on generalized Gaussian random fuzzy numbers.
Fuzzy Sets Syst., November, 2023
Quantifying Prediction Uncertainty in Regression Using Random Fuzzy Sets: The ENNreg Model.
IEEE Trans. Fuzzy Syst., October, 2023
Inf. Sci., April, 2023
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: General framework and practical models.
Fuzzy Sets Syst., February, 2023
Inf. Fusion, 2023
Neurocomputing, 2023
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation.
CoRR, 2023
Belief Functions on the Real Line Defined by Transformed Gaussian Random Fuzzy Numbers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
2022
Int. J. Approx. Reason., 2022
Int. J. Approx. Reason., 2022
Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer.
Int. J. Approx. Reason., 2022
Appl. Soft Comput., 2022
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the Belief Functions: Theory and Applications, 2022
Proceedings of the Belief Functions: Theory and Applications, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning.
IEEE Trans. Neural Networks Learn. Syst., 2021
A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification.
IEEE Trans. Fuzzy Syst., 2021
Neurocomputing, 2021
Int. J. Approx. Reason., 2021
Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence.
Fuzzy Sets Syst., 2021
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models.
CoRR, 2021
Appl. Intell., 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021
Proceedings of the Belief Functions: Theory and Applications, 2021
Proceedings of the Belief Functions: Theory and Applications, 2021
2020
An interval-valued utility theory for decision making with Dempster-Shafer belief functions.
Int. J. Approx. Reason., 2020
CoRR, 2020
Proceedings of the Knowledge Science, Engineering and Management, 2020
2019
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions.
IEEE Trans. Image Process., 2019
Knowl. Based Syst., 2019
A new evidential <i>K</i>-nearest neighbor rule based on contextual discounting with partially supervised learning.
Int. J. Approx. Reason., 2019
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group).
CoRR, 2019
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019
Making Set-Valued Predictions in Evidential Classification: A Comparison of Different Approaches.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the Information Quality in Information Fusion and Decision Making, 2019
2018
Quantifying Predictive Uncertainty Using Belief Functions: Different Approaches and Practical Construction.
Proceedings of the Predictive Econometrics and Big Data, 2018
Evaluating and Comparing Soft Partitions: An Approach Based on Dempster-Shafer Theory.
IEEE Trans. Fuzzy Syst., 2018
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images.
IEEE Trans. Biomed. Eng., 2018
Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules.
Knowl. Based Syst., 2018
Knowl. Based Syst., 2018
Int. J. Approx. Reason., 2018
Int. J. Approx. Reason., 2018
An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization.
Proceedings of the Belief Functions: Theory and Applications, 2018
Proceedings of the Belief Functions: Theory and Applications, 2018
2017
A double-copula stochastic frontier model with dependent error components and correction for sample selection.
Int. J. Approx. Reason., 2017
Evidential grammars: A compositional approach for scene understanding. Application to multimodal street data.
Appl. Soft Comput., 2017
Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression.
Adv. Data Anal. Classif., 2017
Proceedings of the 12th System of Systems Engineering Conference, 2017
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 20th International Conference on Information Fusion, 2017
2016
A Hybrid Belief Rule-Based Classification System Based on Uncertain Training Data and Expert Knowledge.
IEEE Trans. Syst. Man Cybern. Syst., 2016
IEEE Trans. Fuzzy Syst., 2016
Soft Comput., 2016
Editing training data for multi-label classification with the k-nearest neighbor rule.
Pattern Anal. Appl., 2016
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction.
Medical Image Anal., 2016
Prediction of future observations using belief functions: A likelihood-based approach.
Int. J. Approx. Reason., 2016
Fuzzy Sets Syst., 2016
Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering.
Proceedings of the Soft Methods for Data Science, 2016
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
Proceedings of the Belief Functions: Theory and Applications, 2016
Proceedings of the Belief Functions: Theory and Applications, 2016
2015
The Classifier Chain Generalized Maximum Entropy Model for Multi-label Choice Problems.
Proceedings of the Econometrics of Risk, 2015
Estimation and Prediction Using Belief Functions: Application to Stochastic Frontier Analysis.
Proceedings of the Econometrics of Risk, 2015
An evidential classifier based on feature selection and two-step classification strategy.
Pattern Recognit., 2015
Knowl. Based Syst., 2015
Belief rule-based classification system: Extension of FRBCS in belief functions framework.
Inf. Sci., 2015
Modeling dependence between error components of the stochastic frontier model using copula: Application to intercrop coffee production in Northern Thailand.
Int. J. Approx. Reason., 2015
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 18th International Conference on Information Fusion, 2015
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015
2014
Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions.
IEEE Trans. Fuzzy Syst., 2014
IEEE Trans. Cybern., 2014
Soft Comput., 2014
Int. J. Approx. Reason., 2014
Rejoinder on "Likelihood-based belief function: Justification and some extensions to low-quality data".
Int. J. Approx. Reason., 2014
Likelihood-based belief function: Justification and some extensions to low-quality data.
Int. J. Approx. Reason., 2014
Combining statistical and expert evidence using belief functions: Application to centennial sea level estimation taking into account climate change.
Int. J. Approx. Reason., 2014
Comput. Stat. Data Anal., 2014
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
Fusion of pairwise nearest-neighbor classifiers based on pairwise-weighted distance metric and Dempster-Shafer theory.
Proceedings of the 17th International Conference on Information Fusion, 2014
Proceedings of the British Machine Vision Conference, 2014
Proceedings of the Belief Functions: Theory and Applications, 2014
Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning.
Proceedings of the Belief Functions: Theory and Applications, 2014
The Evidence-Theoretic k-NN Rule for Rank-Ordered Data: Application to Predict an Individual's Source of Loan.
Proceedings of the Belief Functions: Theory and Applications, 2014
Predicting Stock Returns in the Capital Asset Pricing Model Using Quantile Regression and Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013
Evidential Grammars for Image Interpretation - Application to Multimodal Traffic Scene Understanding.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 16th International Conference on Information Fusion, 2013
Using Dempster-Shafer theory to model uncertainty in climate change and environmental impact assessments.
Proceedings of the 16th International Conference on Information Fusion, 2013
2012
Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis.
Soft Comput., 2012
Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints.
Pattern Anal. Appl., 2012
Int. J. Approx. Reason., 2012
Evidential reasoning in large partially ordered sets - Application to multi-label classification, ensemble clustering and preference aggregation.
Ann. Oper. Res., 2012
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2012
Proceedings of the Advances in Computational Intelligence, 2012
Purifying training data to improve performance of multi-label classification algorithms.
Proceedings of the 15th International Conference on Information Fusion, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
Combining Statistical and Expert Evidence within the D-S Framework: Application to Hydrological Return Level Estimation.
Proceedings of the Belief Functions: Theory and Applications, 2012
2011
A Multiple-Hypothesis Map-Matching Method Suitable for Weighted and Box-Shaped State Estimation for Localization.
IEEE Trans. Intell. Transp. Syst., 2011
Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules.
Int. J. Approx. Reason., 2011
Fuzzy Sets Syst., 2011
A Dependent Multilabel Classification Method Derived from the k-Nearest Neighbor Rule.
EURASIP J. Adv. Signal Process., 2011
Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device.
Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011
2010
State Estimation Using Interval Analysis and Belief-Function Theory: Application to Dynamic Vehicle Localization.
IEEE Trans. Syst. Man Cybern. Part B, 2010
The Unnormalized Dempster's Rule of Combination: A New Justification from the Least Commitment Principle and Some Extensions.
J. Autom. Reason., 2010
Eng. Appl. Artif. Intell., 2010
Artif. Intell., 2010
Proceedings of the Scalable Uncertainty Management - 4th International Conference, 2010
Statistical Inference with Belief Functions and Possibility Measures: A Discussion of Basic Assumptions.
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010
Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects.
Proceedings of the Knowledge Science, 2010
Dempster-Shafer Reasoning in Large Partially Ordered Sets: Applications in Machine Learning.
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010
Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Pattern Recognit., 2009
Expert Syst. Appl., 2009
Proceedings of the Scalable Uncertainty Management, Third International Conference, 2009
Proceedings of the IEEE International Conference on Systems, 2009
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009
Short-time OD matrix estimation for a complex junction using fuzzy-timed high-level petri nets.
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009
Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis.
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the 12th International Conference on Information Fusion, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
2008
Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008
Refined modeling of sensor reliability in the belief function framework using contextual discounting.
Inf. Fusion, 2008
Constructing consonant belief functions from sample data using confidence sets of pignistic probabilities.
Int. J. Approx. Reason., 2008
Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence.
Artif. Intell., 2008
Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008
Proceedings of the 11th International Conference on Information Fusion, 2008
Proceedings of the 11th International Conference on Information Fusion, 2008
Proceedings of the 11th International Conference on Information Fusion, 2008
A New Justification of the Unnormalized Dempster's Rule of Combination from the Least Commitment Principle.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Multi-label classification algorithm derived from K-nearest neighbor rule with label dependencies.
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
Pattern Recognit. Lett., 2007
Proceedings of the 10th International Conference on Information Fusion, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
2006
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches.
IEEE Trans. Syst. Man Cybern. Part B, 2006
Risk assessment based on weak information using belief functions: a case study in water treatment.
IEEE Trans. Syst. Man Cybern. Syst., 2006
Int. J. Approx. Reason., 2006
Proceedings of the 9th International Conference on Information Fusion, 2006
Proceedings of the 9th International Conference on Information Fusion, 2006
Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system.
Proceedings of the 9th International Conference on Information Fusion, 2006
2005
Fuzzy Sets Syst., 2005
R. P. Srivastava and T. J. Mock, Belief Functions in Business Decisions, in Studies in Fuzziness and Soft Computing, vol. 88, Physica-Verlag, Heidelberg (2002) ISBN 3-7908-1451-2 (345pp.)
Fuzzy Sets Syst., 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
2004
IEEE Trans. Syst. Man Cybern. Part B, 2004
IEEE Trans. Fuzzy Syst., 2004
Pattern Recognit. Lett., 2004
Nonparametric regression analysis of uncertain and imprecise data using belief functions.
Int. J. Approx. Reason., 2004
Proceedings of the IEEE International Conference on Systems, 2004
2003
Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification.
Inf. Fusion, 2003
Resample and combine: an approach to improving uncertainty representation in evidential pattern classification.
Inf. Fusion, 2003
A new approach to assess risk in water treatment using the belief function framework.
Proceedings of the IEEE International Conference on Systems, 2003
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003
2002
Approximating the combination of belief functions using the fast Mo"bius transform in a coarsened frame.
Int. J. Approx. Reason., 2002
2001
Inner and Outer Approximation of Belief Structures Using a Hierarchical Clustering Approach.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
A neural network-based software sensor for coagulation control in a water treatment plant.
Intell. Data Anal., 2001
Fuzzy Sets Syst., 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001
2000
IEEE Trans. Syst. Man Cybern. Part A, 2000
Pattern Recognit. Lett., 2000
Proceedings of the IEEE International Conference on Systems, 2000
1999
An hybrid neural network based system for optimization of coagulant dosing in a water treatment plant.
Proceedings of the International Joint Conference Neural Networks, 1999
State Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999
Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999
1998
IEEE Trans. Syst. Man Cybern. Part C, 1998
1997
Pattern Recognit., 1997
Function approximation in the framework of evidence theory: a connectionist approach.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
Training MLPs layer by layer using an objective function for internal representations.
Neural Networks, 1996
1995
IEEE Trans. Syst. Man Cybern., 1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995
1993