Eric Lefevre

Orcid: 0000-0002-0038-8872

According to our database1, Eric Lefevre authored at least 106 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Optimization problems with evidential linear objective.
Int. J. Approx. Reason., October, 2023

An ensemble classifier through rough set reducts for handling data with evidential attributes.
Inf. Sci., July, 2023

Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning.
Int. J. Approx. Reason., May, 2023

0-1 Combinatorial Optimization Problems with Qualitative and Uncertain Profits.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

Evidential Generative Adversarial Networks for Handling Imbalanced Learning.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022
CIMMEP: constrained integrated method for CBR maintenance based on evidential policies.
Appl. Intell., 2022

Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

Problème du plus court chemin avec poids évidentiels : modélisation et résolution.
Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Déséquilibre multi-classes : une approche évidentielle de rééchantillonnage hybride.
Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Evidential Hybrid Re-sampling for Multi-class Imbalanced Data.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

On Modelling and Solving the Shortest Path Problem with Evidential Weights.
Proceedings of the Belief Functions: Theory and Applications, 2022

2021
Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Evidential Spammers and Group Spammers Detection.
Proceedings of the Intelligent Systems Design and Applications, 2021

The Vehicle Routing Problem with Time Windows and Evidential Service and Travel Times: A Recourse Model.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

An Extension of Specificity-Based Approximations to Other Belief Function Relations.
Proceedings of the Belief Functions: Theory and Applications, 2021

2020
An evidential integrated method for maintaining case base and vocabulary containers within CBR systems.
Inf. Sci., 2020

E-DBSCAN: An evidential version of the DBSCAN method.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Evidential Spammer Detection based on the Suspicious Behaviors' Indicators.
Proceedings of the International Multi-Conference on: "Organization of Knowledge and Advanced Technologies", 2020

Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means.
Proceedings of the International Multi-Conference on: "Organization of Knowledge and Advanced Technologies", 2020

Evidential Group Spammers Detection.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019
Evidential joint calibration of binary SVM classifiers.
Soft Comput., 2019

Evidential link prediction in social networks based on structural and social information.
J. Comput. Sci., 2019

Decision tree classifiers for evidential attribute values and class labels.
Fuzzy Sets Syst., 2019

Spammers Detection Based on Reviewers' Behaviors Under Belief Function Theory.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

CEVM: Constrained Evidential Vocabulary Maintenance Policy for CBR Systems.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Multiple Criteria Fake Reviews Detection Based on Spammers' Indicators Within the Belief Function Theory.
Proceedings of the Hybrid Intelligent Systems, 2019

Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018
Information Fusion With Belief Functions for Detection of Interturn Short-Circuit Faults in Electrical Machines Using External Flux Sensors.
IEEE Trans. Ind. Electron., 2018

The capacitated vehicle routing problem with evidential demands.
Int. J. Approx. Reason., 2018

SI on Fuzzy Logic and its Applications (LFA 2015).
Fuzzy Sets Syst., 2018

Evidential Multi-relational Link Prediction Based on Social Content.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Multiple Criteria Fake Reviews Detection Using Belief Function Theory.
Proceedings of the Intelligent Systems Design and Applications, 2018

Ensemble Enhanced Evidential k-NN Classifier Through Rough Set Reducts.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

DETD: Dynamic Policy for Case Base Maintenance Based on EK-NNclus Algorithm and Case Types Detection.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory.
Proceedings of the Case-Based Reasoning Research and Development, 2018

Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance.
Proceedings of the Belief Functions: Theory and Applications, 2018

Fake Reviews Detection Under Belief Function Framework.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

Analytical Network Process Method Under the Belief Function Framework.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017
Comparing dependent combination rules under the belief classifier fusion framework.
Soft Comput., 2017

Supply Chain Network Design under Uncertainty with Evidence Theory.
Logist. Res., 2017

Face pixel detection using evidential calibration and fusion.
Int. J. Approx. Reason., 2017

Evidential Joint Calibration of Binary SVM Classifiers Using Logistic Regression.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Information fusion of external flux sensors for detection of inter-turn short circuit faults in induction machines.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

A Novel k-NN Approach for Data with Uncertain Attribute Values.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Evidential k-NN for Link Prediction.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts.
Proceedings of the Database and Expert Systems Applications, 2017

ECTD: Evidential Clustering and Case Types Detection for Case Base Maintenance.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017

2016
Evidential data mining: precise support and confidence.
J. Intell. Inf. Syst., 2016

Belief AHP Method - AHP Method with the Belief Function Framework.
Int. J. Inf. Technol. Decis. Mak., 2016

Proposition and learning of some belief function contextual correction mechanisms.
Int. J. Approx. Reason., 2016

Corrigendum to "Belief functions contextual discounting and canonical decompositions" [International Journal of Approximate Reasoning 53 (2012) 146-158].
Int. J. Approx. Reason., 2016

An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Feature Selection from Partially Uncertain Data Within the Belief Function Framework.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Evidential Missing Link Prediction in Uncertain Social Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

An Evidential Pixel-Based Face Blurring Approach.
Proceedings of the Belief Functions: Theory and Applications, 2016

The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach.
Proceedings of the Belief Functions: Theory and Applications, 2016

Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2016

2015
Reliability Estimation Measure: Generic Discounting Approach.
Int. J. Pattern Recognit. Artif. Intell., 2015

Evidential Link Prediction Based on Group Information.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015

Classifier Fusion Within the Belief Function Framework Using Dependent Combination Rules.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Qualitative AHP models under the belief function framework.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

The Link Prediction Problem under a Belief Function Framework.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Comparison of belief AHP models using a simulation study.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Learning Contextual Discounting and Contextual Reinforcement from Labelled Data.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Belief Function Combination: Comparative Study Within the Classifier Fusion Framework.
Proceedings of the 1st International Conference on Advanced Intelligent System and Informatics, 2015

2014
Response to "Addendum for the TBM global distance measure for the association of uncertain combat ID declarations" by B. Ristic, M.C. Florea and E. Boissé.
Inf. Fusion, 2014

Object tracking and credal classification with kinematic data in a multi-target context.
Inf. Fusion, 2014

Integration of Extra-Information for Belief Function Theory Conflict Management Problem Through Generic Association Rules.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

Multi-Criteria Decision Making Method with Belief Preference Relations.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks.
Ann. des Télécommunications, 2014

Belief Function Classification with Conflict Management: Application on Forest Image.
Proceedings of the Tenth International Conference on Signal-Image Technology and Internet-Based Systems, 2014

Classification with Evidential Associative Rules.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

An Extension of the Analytic Hierarchy Process Method under the Belief Function Framework.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Evidential Database: A New Generalization of Databases?
Proceedings of the Belief Functions: Theory and Applications, 2014

Truthfulness in Contextual Information Correction.
Proceedings of the Belief Functions: Theory and Applications, 2014

Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETs.
Proceedings of the Belief Functions: Theory and Applications, 2014

Modeling Qualitative Assessments under the Belief Function Framework.
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
How to preserve the conflict as an alarm in the combination of belief functions?
Decis. Support Syst., 2013

Multi-sensor multi-target tracking with robust kinematic data based credal classification.
Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2013

Mining Frequent Itemsets in Evidential Database.
Proceedings of the Knowledge and Systems Engineering, 2013

Generic Discounting Evaluation Approach for Urban Image Classification.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013

Exchanging dynamic and imprecise information in V2V networks with belief functions.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Modeling expert preference using the qualitative belief function framework.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Multicriteria Decision Making Based on Qualitative Assessments and Relational Belief.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

2012
Belief functions contextual discounting and canonical decompositions.
Int. J. Approx. Reason., 2012

Evidential calibration process of multi-agent based system: An application to forensic entomology.
Expert Syst. Appl., 2012

Introducing Incomparability in Modeling Qualitative Belief Functions.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2012

Reasoning under Uncertainty in the AHP Method Using the Belief Function Theory.
Proceedings of the Advances in Computational Intelligence, 2012

An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functions.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

2011
Object association with belief functions, an application with vehicles.
Inf. Sci., 2011

Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle Assessment.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2010
Association pour le suivi d'objets dans le cadre des fonctions de croyance, appliquée aux véhicules intelligents.
Proceedings of the Fouille de données complexes, 2010

Discountings of a Belief Function Using a Confusion Matrix.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Belief assignment on compound hypotheses within the framework of the Transferable Belief Model.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Improvement of an association algorithm for obstacle tracking.
Inf. Fusion, 2008

2006
An association algorithm for tracking multiple moving objects.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006

2003
Reply to the Comments of R. Haenni on the paper "Belief functions combination and conflict management.
Inf. Fusion, 2003

2002
Belief function combination and conflict management.
Inf. Fusion, 2002

2000
Knowledge modeling methods in the framework of evidence theory: an experimental comparison for melanoma detection.
Proceedings of the IEEE International Conference on Systems, 2000


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