Eric Lefevre
Professeurs des Universités
Université d'Artois
86%
Libre accès
133
Documents
Affiliations actuelles
- 89466
Identifiants chercheurs
eric-lefevre-
0000-0002-0038-8872
- IdRef : 081781237
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Problèmes d'optimisation avec un objectif linéaire évidentiel25ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF'2024, Mar 2024, Amiens, France
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0-1 Combinatorial Optimization Problems with Qualitative and Uncertain ProfitsIntegrated Uncertainty in Knowledge Modelling and Decision Making, Nov 2023, Kanazawa, Japan. pp.139-151, ⟨10.1007/978-3-031-46775-2_13⟩
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Problème du plus court chemin avec poids évidentiels24ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF'2023, Feb 2023, Rennes, France
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Evidential Generative Adversarial Networks for Handling Imbalanced Learning17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2023, Sep 2023, Arras, France. pp.257-269, ⟨10.1007/978-3-031-45608-4_20⟩
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Modélisation et résolution de problèmes d'optimisation avec un objectif linéaire évidentiel32èmes Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2023, Nov 2023, Bourges, France. pp.181-188
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Problème du plus court chemin avec poids évidentiels : Modélisation et résolution31e Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2022, Oct 2022, Toulouse, France. pp.223-230
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Evidential Hybrid Re-sampling for Multi-class Imbalanced DataInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2022, Jul 2022, Milan, Italy. pp.612-623, ⟨10.1007/978-3-031-08974-9_49⟩
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Déséquilibre multi-classes : une approche évidentielle de rééchantillonnage hybride31e Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2022, Oct 2022, Toulouse, France. pp.255-262
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Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble15th International Conference on Scalable Uncertainty Management, SUM'2022, Oct 2022, Paris, France. pp.235-248, ⟨10.1007/978-3-031-18843-5_16⟩
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On Modelling and Solving the Shortest Path Problem with Evidential Weights7th International Conference on Belief Functions 2022, Oct 2022, Paris, France. pp.139-149, ⟨10.1007/978-3-031-17801-6_14⟩
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Un modèle de programmation par recours pour le VRPTW avec temps de service et de trajet évidentiels30e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2021, Oct 2021, Paris, France. pp.225-232
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Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and NoiseInternational Conference on Modeling Decisions for Artificial Intelligence, MDAI'2021, Sep 2021, Umeå, Sweden. pp.181-192, ⟨10.1007/978-3-030-85529-1_15⟩
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New decision support approach for locating self-dialysis centers31st European Conference on Operational Research, EURO 2021, Jul 2021, Athen (on line), Greece
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The vehicle routing problem with time windows and evidential service and travel times: A recourse model.16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2021, Sep 2021, Prague, Czech Republic. pp.381-395
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Evaluation of the voltage supply unbalance and detection of the short-circuit faults in induction machine through the neighboring magnetic field2021 International Conference on Applied and Theoretical Electricity (ICATE), May 2021, Craiova, Romania. pp.1-6, ⟨10.1109/ICATE49685.2021.9465061⟩
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New decision support approach for locating self-dialysis centers31st European Conference on Operational Research, (EURO 2021), Jul 2021, Athène, Greece
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An extension of specificity-based approximations to other belief function relations6th International Conference on Belief Functions, Sep 2021, Shanghai, China. pp.224-233
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Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence TheoryECSQARU 2021, Sep 2021, Prague, Czech Republic. pp.342-353, ⟨10.1007/978-3-030-86772-0_25⟩
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Evidential Spammers and Group Spammers DetectionISDA'2021, Dec 2021, New-York, United States. pp.255-265, ⟨10.1007/978-3-030-96308-8_23⟩
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Vers une généralisation de l'approximation des fonctions de croyance29e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2020, Oct 2020, Sète, France. pp.199-206
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An Evidential Spammer Detection based on the Suspicious Behaviors' Indicators2020 International Multi-Conference on: “Organization of Knowledge and Advanced Technologies” (OCTA), Feb 2020, Tunis, France. pp.1-8, ⟨10.1109/OCTA49274.2020.9151805⟩
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E-DBSCAN: An evidential version of the DBSCAN method2020 IEEE Symposium Series on Computational Intelligence (SSCI), Dec 2020, Canberra, Australia. pp.3073-3080, ⟨10.1109/SSCI47803.2020.9308578⟩
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A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function TheoryIDEAL'2020, Nov 2020, Guimaraes, Portugal. pp.3-11, ⟨10.1007/978-3-030-62365-4_1⟩
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Evidential Group Spammers DetectionIPMU'2020, Jun 2020, Lisbon, Portugal. pp.341-353, ⟨10.1007/978-3-030-50143-3_26⟩
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Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means2020 International Multi-Conference on: “Organization of Knowledge and Advanced Technologies” (OCTA), Feb 2020, Tunis, France. pp.1-10, ⟨10.1109/OCTA49274.2020.9151771⟩
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Un modèle à base de contraintes en fonction de croyance pour le problème de tournées de véhicules avec fenêtres de temps21ème congrès ROADEF de la société Française de Recherche Opérationnelle et Aide à la Décision, Feb 2020, Montpellier, France
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Spammers detection based on reviewers' behaviors under belief function theoryInternational Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE'2019, Jul 2019, Graz, Austria. pp.642-653, ⟨10.1007/978-3-030-22999-3_55⟩
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FAKE REVIEWS DETECTION BASED ON BOTH THE REVIEW AND THE REVIEWER FEATURES UNDER BELIEF FUNCTION THEORY16th International Conference on Applied Computing, AC'2019, Nov 2019, Cagliari, Italy. pp.123-130
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CEVM: Constrained Evidential Vocabulary Maintenance policy for CBR systemsInternational Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE'2019, Jul 2019, Graz, Austria. pp.579-592, ⟨10.1007/978-3-030-22999-3_50⟩
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EXPLOITING PRIOR KNOWLEDGE FOR EVALUATING CBR SYSTEMS USING A COVERAGE & CONSTRAINED EVIDENTIAL CLUSTERING BASED MODEL16th International Conference on Applied Computing, AC'2019, Nov 2019, Cagliari, Italy. pp.171-179
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Toward the evaluation of Case Base Maintenance policies under the belief function theoryECSQARU'2019, Sep 2019, Belgrade, Serbia. pp.113-124, ⟨10.1007/978-3-030-29765-7_10⟩
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Multiple criteria fake reviews detection based on spammers' indicators within the belief function theoryInternational Conference on Hybrid Intelligent Systems, HIS'2019, Dec 2019, Bhopal, India. pp.145-155, ⟨10.1007/978-3-030-49336-3_15⟩
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Un modèle Belief-Constrained Programming pour le VRPTW avec temps de service et de trajet crédibilistes28e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2019, Nov 2019, Alès, France. pp.217-224
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Fake reviews detection under belief function frameworkInternational Conference on Advanced Intelligent Systems and Informatics, AISI'2018, Sep 2018, Caire, Egypt. pp.395-404, ⟨10.1007/978-3-319-99010-1_36⟩
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Maintaining case knowledge vocabulary using a new Evidential Attribute Clustering method13th International conference on data science and knowledge engineering for sensing decision support, FLINS'2018, Aug 2018, Belfast (Northern Ireland), United Kingdom. pp.347-354
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DETD: Dynamic policy for case base maintenance based on EK-NNclus algorithm and case Types DetectionInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2018, Jun 2018, Cadiz, Spain. pp.370-382, ⟨10.1007/978-3-319-91473-2_32⟩
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Analytical Network Process Method Under the Belief Function FrameworkInternational Conference of the Italian Association for Artificial Intelligence, AI*IA'2018, Nov 2018, Trento, Italy. pp.553-563, ⟨10.1007/978-3-030-03840-3_41⟩
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Ensemble Enhanced Evidential k-NN classifier through rough set reductsInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2018, Jun 2018, cadiz, Spain. pp.383-394, ⟨10.1007/978-3-319-91473-2_33⟩
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CEC-Model: A new competence model for CBR systems based on the belief function theoryInternational Conference on Case-Based Reasoning, ICCBR'2018, Jul 2018, Stockholm, Sweden. pp.28-44, ⟨10.1007/978-3-030-01081-2_3⟩
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Evidential Multi-relational Link Prediction Based on Social ContentInternational Symposium on Methodologies for Intelligent Systems, ISMIS'2018, Oct 2018, Limassol, Cyprus. pp.333-343, ⟨10.1007/978-3-030-01851-1_32⟩
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Détection des faux avis dans un cadre évidentiel Fake reviews detection in an evidential framework27èmes rencontres francophones sur la logique floue et ses applications, LFA'2018, Nov 2018, Arras, France. pp.135-142
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Exploiting domain-experts knowledge within an evidential process for case base maintenanceInternational Conference on Belief Functions, BELIEF'2018, Sep 2018, Compiègne, France. pp.22-30, ⟨10.1007/978-3-319-99383-6_4⟩
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Multiple criteria fake reviews detection using belief function theoryInternational Conference on Intelligent Systems Design and Applications, ISDA'2018, Dec 2018, Vellore, India. pp.315-324, ⟨10.1007/978-3-030-16657-1_29⟩
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Ensemble Evidential Editing k-NNs through rough set reducts13th International conference on data science and knowledge engineering for sensing decision support, FLINS'2018, Aug 2018, Belfast, United Kingdom. pp.652-659
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Qualitative AHP Method Based on Multiple Criteria Levels Under Group of ExpertsInternational Conference on Database and Expert Systems Applications, DEXA'2017, Aug 2017, Lyon, France. pp.441-449, ⟨10.1007/978-3-319-64471-4_35⟩
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Information fusion of external flux sensors for detection of inter-turn short circuit faults in induction machinesIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Oct 2017, Beijing, France. pp.8076-8081, ⟨10.1109/IECON.2017.8217417⟩
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Ensemble Enhanced Evidential k-NN classifier through random subspacesEuropean Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, ECSQARU'2017, Jul 2017, Lugano, Switzerland. pp.212-221, ⟨10.1007/978-3-319-61581-3_20⟩
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ECTD: Evidential Clustering and case Types Detection for case base maintenance2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), Oct 2017, Hammamet, France. pp.1462-1469, ⟨10.1109/AICCSA.2017.163⟩
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A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2017, Jul 2017, Lugano, Switzerland
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Evidential joint calibration of binary SVM classifiers using logistic regressionInternational Conference on Scalable Uncertainty Management, SUM 2017, Oct 2017, Granada, Spain. pp.405-411
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A novel k-NN approach for data with uncertain attribute valuesInternational Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE'2017, Jun 2017, Arras, France. pp.160-170, ⟨10.1007/978-3-319-60042-0_19⟩
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Calibration évidentielle conjointe de classifieurs SVM binaires fondée sur la régression logistique26e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2017, Oct 2017, Amiens, France
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Evidential k-NN for Link PredictionEuropean Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, ECSQARU'2017, Jul 2017, Lugano, Switzerland. pp.201-211, ⟨10.1007/978-3-319-61581-3_19⟩
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Evidential Link Prediction in Uncertain Social Networks Based on Node AttributesInternational Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE'2017, Jun 2017, Arras, France. pp.595-601, ⟨10.1007/978-3-319-60042-0_65⟩
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Le problème de tournées de véhicules avec des demandes évidentielles26e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2017, Oct 2017, Amiens, France. pp.15-22
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The Capacitated Vehicle Routing Problem with Evidential Demands: a Belief-Constrained Programming ApproachBELIEF'2016, Sep 2016, Prague, Czech Republic. pp.212-221, ⟨10.1007/978-3-319-45559-4_22⟩
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A fusion method for blurring faces on platforms using belief functions11th World Congress on Railway Research, May 2016, Milan, Italy
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An Evidential Pixel-Based Face Blurring ApproachInternational Conference on Belief Functions 2016, Sep 2016, Prague, Czech Republic. pp.222-230
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Feature Selection From Partially Uncertain Data Within the Belief Function FrameworkInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPUM'2016, Jun 2016, Eindhoven, Netherlands. pp.643-655, ⟨10.1007/978-3-319-40581-0_52⟩
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Evidential Missing Link Prediction in Uncertain Social NetworksInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'2016), Jun 2016, Eindhoven, Netherlands. pp.274-285, ⟨10.1007/978-3-319-40596-4_24⟩
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Optimisation discrète sous incertitudes modélisées par des fonctions de croyance17ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, RODEF'2016, Feb 2016, Compiègne, France
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Handling Uncertain Attribute Values In Decision Tree Classifier Using The Belief Function TheoryInternational Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA'2016, Sep 2016, Varna, Bulgaria. pp.26-35, ⟨10.1007/978-3-319-44748-3_3⟩
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An Evidential Method for Multi-relational Link Prediction in Uncertain Social NetworksInternational Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM'2016, Dec 2016, Da Nang, Vietnam. pp.280-292, ⟨10.1007/978-3-319-49046-5_24⟩
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Comparison of belief AHP models using a simulation studyConference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, (IFSA-EUSFLAT'2015), Jun 2015, Gijon, Spain. ⟨10.2991/ifsa-eusflat-15.2015.137⟩
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Qualitative AHP Models under the Belief Function Framework2015 15th International Conference on Intelligent Systems Design and Applications (ISDA), Dec 2015, Marrakech, Morocco. pp.128-133, ⟨10.1109/ISDA.2015.7489213⟩
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Belief function combination: comparative study within the classifier fusion framework1st International Conference on Advanced Intelligent System and Informatics, AISI'2015, Nov 2015, Beni Suef, Egypt. pp.425-435, ⟨10.1007/978-3-319-26690-9_38⟩
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The Link Prediction Problem Under a Belief Function Framework2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2015, Vietri sul Mare, Italy. pp.1013-1020, ⟨10.1109/ICTAI.2015.145⟩
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Learning contextual discounting and contextual reinforcement from labelled data13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, Jul 2015, Compiègne, France. pp.472-481
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Classifier fusion within the belief function framework using dependent combination rulesInternational Symposium on Methodologies for Intelligent Systems, ISMIS'2015, Oct 2015, Lyon, France. pp.133-138, ⟨10.1007/978-3-319-25252-0_14⟩
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Evidential Link Prediction Based on Group InformationInternational Conference on Mining Intelligence and Knowledge Exploration, MIKE'2015, Dec 2015, Hyderabad, India. pp.482-492, ⟨10.1007/978-3-319-26832-3_45⟩
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Belief function classification with conflict management: application on forest imageTenth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS'2014), Nov 2014, Marrakech, France. pp.14-20, ⟨10.1109/SITIS.2014.34⟩
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An Extension of the Analytic Hierarchy Process Method Under the Belief Function FrameworkInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2014, Jul 2014, Montpellier, France. pp.233-242, ⟨10.1007/978-3-319-08852-5_24⟩
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Classification with evidential associative rulesInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2014, Jul 2014, Montpellier, France. pp.25-35, ⟨10.1007/978-3-319-08795-5_4⟩
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Estimation de sincérité et pertinence à partir de matrices de confusion pour la correction de fonctions de croyanceRencontres Francophones sur la Logique Floue et ses Applications, LFA 2014, Oct 2014, Cargèse, France. pp.115-122
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Modeling Qualitative Assessments under the Belief Function FrameworkInternational Conference on Belief Functions, BELIEF'2014, Sep 2014, Oxford, United Kingdom. pp.171-179, ⟨10.1007/978-3-319-11191-9_19⟩
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Truthfulness in contextual information correction3rd International Conference on Belief Functions (BELIEF 2014), Sep 2014, Oxford, United Kingdom. pp.11-20
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Evidential Database: a new generalization of databases?International Conference on Belief Functions, BELIEF'2014, Sep 2014, Oxford, United Kingdom. pp.105-114, ⟨10.1007/978-3-319-11191-9_12⟩
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Multi-sensor multi-target tracking with robust kinematic data based credal classification2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), Oct 2013, Bonn, Germany. pp.1-6, ⟨10.1109/SDF.2013.6698250⟩
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Modeling Expert Preference using the Qualitative Belief function Framework13th International Conference on Intelligent Systems Design and Applications (ISDA'2013), Dec 2013, Salangor, Malaysia. pp.98-103, ⟨10.1109/ISDA.2013.6920715⟩
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Multicriteria Decision Making Based on Qualitative Assessments and Relational BeliefCongress of the Italian Association for Artificial Intelligence, AI*IA'2013, Dec 2013, Turin, Italy. pp.48-59, ⟨10.1007/978-3-319-03524-6_5⟩
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Generic discounting evaluation approach for urban image classificationInternational Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM'2013, Jul 2013, Beijing, China. pp.79-90, ⟨10.1007/978-3-642-39515-4_7⟩
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Mining frequent itemsets in evidential databaseInternational Conference Knowledge and Systems Engineering, KSE'2013, Oct 2013, Hanoi, Vietnam. pp.377-388, ⟨10.1007/978-3-319-02821-7_33⟩
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Exchanging dynamic and imprecise information in V2V networks with belief functions2013 16th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2013), Oct 2013, The Hague, Netherlands. pp.967-972, ⟨10.1109/ITSC.2013.6728357⟩
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Classification crédale multi-cibles - Multi-target evidential classificationRencontres Francophones sur la Logique Floue et ses Applications, 2012, Compiègne, France. pp.201-208
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Reasoning under Uncertainty in the AHP Method using the Belief Function TheoryInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2012, Jul 2012, Catania, Italy. pp.373-382, ⟨10.1007/978-3-642-31724-8_39⟩
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An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functionsIECON 2012 - 38th Annual Conference of IEEE Industrial Electronics, Oct 2012, Montreal, Canada. pp.5096-5101, ⟨10.1109/IECON.2012.6389556⟩
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Introducing Incomparability in Modeling Qualitative Belief FunctionsInternational Conference on Modeling Decisions for Artificial Intelligence (MDAI'2012), Nov 2012, Gérone, Spain. pp.382-393, ⟨10.1007/978-3-642-34620-0_34⟩
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Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions2011 IEEE Intelligent Vehicles Symposium (IV), Jun 2011, Baden-Baden, Germany. pp.436-441, ⟨10.1109/IVS.2011.5940448⟩
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Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle AssessmentCongress of the Italian Association for Artificial Intelligence (AI*IA'2011), Italian Association for Artificial Intelligence, Sep 2011, Palerme, Italy. pp.395-400, ⟨10.1007/978-3-642-23954-0_37⟩
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Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief FunctionsSymbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Jun 2011, Belfast, United Kingdom. pp.314-325, ⟨10.1007/978-3-642-22152-1_27⟩
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Application of the belief function theory to validate multi-agent based simulationsFirst int. workshop on the theory of belief functions, Apr 2010, Brest, France
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Discountings of a Belief Function Using a Confusion Matrix2010 22nd International Conference on Tools with Artificial Intelligence (ICTAI), Oct 2010, Arras, France. pp.287-294, ⟨10.1109/ICTAI.2010.49⟩
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Belief assignment on compound hypotheses within the framework of the Transferable Belief Model12th International Conference on Information Fusion, FUSION'2009, Jul 2009, Seattle, United States. pp.498-505
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Application du Modèle des Croyances Transférables dans le cadre d'expertises en Entomologie Médico-Légale5ème Atelier "Fouille de données complexes dans un processus d’extraction des connaissances", EGC 2008, Jan 2008, Sophia Antipolis, France
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Diagnostic Based on High Frequency Resonances and Information FusionISEI 2008 - International Symposium on Electrical Insulation, Jun 2008, vancouver, Canada
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An association algorithm for tracking multiple moving objectsIEEE Intelligent Transportation Systems Conference, ITSC'2006, Sep 2006, Toronto, Canada. pp.1334-1339, ⟨10.1109/ITSC.2006.1707408⟩
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Knowledge modeling methods in the framework of evidence theory: an experimental comparison for melanoma detectionIEEE International Conference on Systems, Man, and Cybernetics, SMC'2000, Oct 2000, Nashville, United States. pp.2806-2811, ⟨10.1109/ICSMC.2000.884422⟩
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Diagnosis of electrical machines by external field measurementElectrical Systems 2: From Diagnosis to Prognosis, 1, Wiley, pp.1-35, 2020, 978178630608. ⟨10.1002/9781119720584⟩
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Belief Functions: Theory and Applications6th 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⟩
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SI on Fuzzy Logic and Its Applications (LFA 2015)Fuzzy Sets and Systems, 343, pp.1--2, 2018, ⟨10.1016/j.fss.2018.03.003⟩
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