Knowledge modeling methods in the framework of evidence theory: an experimental comparison for melanoma detection. - Eric Lefevre; Olivier Colot; Patrick Vannoorenberghe; Denis de Brucq (SMC, 2000)

Belief function combination and conflict management. - Eric Lefevre; Olivier Colot; Patrick Vannoorenberghe (Inf. Fusion, 2002)

Reply to the Comments of R. Haenni on the paper "Belief functions combination and conflict management. - Eric Lefevre; Olivier Colot; Patrick Vannoorenberghe (Inf. Fusion, 2003)

An association algorithm for tracking multiple moving objects. - Yann Lemeret; Eric Lefevre; Daniel Jolly (ITSC, 2006)

Improvement of an association algorithm for obstacle tracking. - Yann Lemeret; Eric Lefevre; Daniel Jolly (Inf. Fusion, 2008)

Belief assignment on compound hypotheses within the framework of the Transferable Belief Model. - Alexandre Veremme; Daniel Dupont; Eric Lefèvre; David Mercier (FUSION, 2009)

Discountings of a Belief Function Using a Confusion Matrix. - Zied Elouedi; Eric Lefevre; David Mercier (ICTAI (1), 2010)

Association pour le suivi d'objets dans le cadre des fonctions de croyance, appliquée aux véhicules intelligents. - David Mercier; Eric Lefevre; Daniel Jolly (Fouille de données complexe, 2010)

Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle Assessment. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (AI*IA, 2011)

Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions. - Eric Lefevre; Zied Elouedi; David Mercier (ECSQARU, 2011)

Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions. - Mira Bou Farah; David Mercier; Eric Lefèvre; François Delmotte (Intelligent Vehicles Symposium, 2011)

Object association with belief functions, an application with vehicles. - David Mercier; Eric Lefevre; Daniel Jolly (Inf. Sci., 2011)

An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functions. - Rémus Pusca; Cristian Demian; David Mercier; Eric Lefevre; Raphaël Romary (IECON, 2012)

Reasoning under Uncertainty in the AHP Method Using the Belief Function Theory. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (IPMU (4), 2012)

Introducing Incomparability in Modeling Qualitative Belief Functions. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (MDAI, 2012)

Evidential calibration process of multi-agent based system: An application to forensic entomology. - Alexandre Veremme; Eric Lefevre; Gildas Morvan; Daniel Dupont; Daniel Jolly (Expert Syst. Appl., 2012)

Belief functions contextual discounting and canonical decompositions. - David Mercier; Eric Lefèvre; François Delmotte (Int. J. Approx. Reason., 2012)

Multicriteria Decision Making Based on Qualitative Assessments and Relational Belief. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (AI*IA, 2013)

Modeling expert preference using the qualitative belief function framework. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (ISDA, 2013)

Exchanging dynamic and imprecise information in V2V networks with belief functions. - Mira Bou Farah; David Mercier; Eric Lefevre; François Delmotte (ITSC, 2013)

Generic Discounting Evaluation Approach for Urban Image Classification. - Ahmed Samet; Imen Hammami; Eric Lefèvre; Atef Hamouda (IUKM, 2013)

Mining Frequent Itemsets in Evidential Database. - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (KSE (2), 2013)

Multi-sensor multi-target tracking with robust kinematic data based credal classification. - Samir Hachour; François Delmotte; David Mercier; Eric Lefevre (SDF, 2013)

How to preserve the conflict as an alarm in the combination of belief functions? - Eric Lefèvre; Zied Elouedi (Decis. Support Syst., 2013)

Modeling Qualitative Assessments under the Belief Function Framework. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (Belief Functions, 2014)

Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETs. - Mira Bou Farah; David Mercier; François Delmotte; Eric Lefèvre; Sylvain Lagrue (Belief Functions, 2014)

Truthfulness in Contextual Information Correction. - Frédéric Pichon; David Mercier; François Delmotte; Eric Lefevre (Belief Functions, 2014)

Evidential Database: A New Generalization of Databases? - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (Belief Functions, 2014)

An Extension of the Analytic Hierarchy Process Method under the Belief Function Framework. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (IPMU (3), 2014)

Classification with Evidential Associative Rules. - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (IPMU (1), 2014)

Belief Function Classification with Conflict Management: Application on Forest Image. - Ahmed Samet; Eric Lefevre; Sadok Ben Yahia (SITIS, 2014)

A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks. - Mira Bou Farah; David Mercier; Eric Lefèvre; François Delmotte (Ann. des Télécommunications, 2014)

Multi-Criteria Decision Making Method with Belief Preference Relations. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Integration of Extra-Information for Belief Function Theory Conflict Management Problem Through Generic Association Rules. - Ahmed Samet; Eric Lefevre; Sadok Ben Yahia (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Object tracking and credal classification with kinematic data in a multi-target context. - Samir Hachour; François Delmotte; David Mercier; Eric Lefèvre (Inf. Fusion, 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. - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (Inf. Fusion, 2014)

Belief Function Combination: Comparative Study Within the Classifier Fusion Framework. - Asma Trabelsi; Zied Elouedi; Eric Lefèvre (AISI, 2015)

Learning Contextual Discounting and Contextual Reinforcement from Labelled Data. - David Mercier; Frédéric Pichon; Eric Lefevre; François Delmotte (ECSQARU, 2015)

Comparison of belief AHP models using a simulation study. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (IFSA-EUSFLAT, 2015)

The Link Prediction Problem under a Belief Function Framework. - Sabrine Mallek; Imen Boukhris; Zied Elouedi; Eric Lefevre (ICTAI, 2015)

Qualitative AHP models under the belief function framework. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (ISDA, 2015)

Classifier Fusion Within the Belief Function Framework Using Dependent Combination Rules. - Asma Trabelsi; Zied Elouedi; Eric Lefèvre (ISMIS, 2015)

Evidential Link Prediction Based on Group Information. - Sabrine Mallek; Imen Boukhris; Zied Elouedi; Eric Lefevre (MIKE, 2015)

Reliability Estimation Measure: Generic Discounting Approach. - Ahmed Samet; Eric Lefèvre; Imen Hammami; Sadok Ben Yahia (Int. J. Pattern Recognit. Artif. Intell., 2015)

Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory. - Asma Trabelsi; Zied Elouedi; Eric Lefevre (AIMSA, 2016)

The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach. - Nathalie Helal; Frédéric Pichon; Daniel Porumbel; David Mercier; Eric Lefèvre (BELIEF, 2016)

An Evidential Pixel-Based Face Blurring Approach. - Pauline Minary; Frédéric Pichon; David Mercier; Eric Lefèvre; Benjamin Droit (BELIEF, 2016)

Evidential Missing Link Prediction in Uncertain Social Networks. - Sabrine Mallek; Imen Boukhris; Zied Elouedi; Eric Lefevre (IPMU (1), 2016)

Feature Selection from Partially Uncertain Data Within the Belief Function Framework. - Asma Trabelsi; Zied Elouedi; Eric Lefevre (IPMU (2), 2016)

An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks. - Sabrine Mallek; Imen Boukhris; Zied Elouedi; Eric Lefevre (IUKM, 2016)

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

Proposition and learning of some belief function contextual correction mechanisms. - Frédéric Pichon; David Mercier; Eric Lefèvre; François Delmotte (Int. J. Approx. Reason., 2016)

Belief AHP Method - AHP Method with the Belief Function Framework. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (Int. J. Inf. Technol. Decis. Mak., 2016)

Evidential data mining: precise support and confidence. - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (J. Intell. Inf. Syst., 2016)

ECTD: Evidential Clustering and Case Types Detection for Case Base Maintenance. - Safa Ben Ayed; Zied Elouedi; Eric Lefevre (AICCSA, 2017)

Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (DEXA (2), 2017)

A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands. - Nathalie Helal; Frédéric Pichon; Daniel Porumbel; David Mercier; Eric Lefèvre (ECSQARU, 2017)

Evidential k-NN for Link Prediction. - Sabrine Mallek; Imen Boukhris; Zied Elouedi; Eric Lefevre (ECSQARU, 2017)

Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces. - Asma Trabelsi; Zied Elouedi; Eric Lefevre (ECSQARU, 2017)

Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes. - Sabrine Mallek; Imen Boukhris; Zied Elouedi; Eric Lefevre (IEA/AIE (1), 2017)

A Novel k-NN Approach for Data with Uncertain Attribute Values. - Asma Trabelsi; Zied Elouedi; Eric Lefevre (IEA/AIE (1), 2017)

Information fusion of external flux sensors for detection of inter-turn short circuit faults in induction machines. - Miftah Irhoumah; David Mercier; Remus Pusca; Eric Lefevre; Raphaël Romary (IECON, 2017)

Evidential Joint Calibration of Binary SVM Classifiers Using Logistic Regression. - Pauline Minary; Frédéric Pichon; David Mercier; Eric Lefevre; Benjamin Droit (SUM, 2017)

Face pixel detection using evidential calibration and fusion. - Pauline Minary; Frédéric Pichon; David Mercier; Eric Lefevre; Benjamin Droit (Int. J. Approx. Reason., 2017)

Supply Chain Network Design under Uncertainty with Evidence Theory. - Ahmed Samet; Yamine Bouzembrak; Eric Lefèvre (Logist. Res., 2017)

Comparing dependent combination rules under the belief classifier fusion framework. - Asma Trabelsi; Zied Elouedi; Eric Lefevre (Soft Comput., 2017)

Analytical Network Process Method Under the Belief Function Framework. - Amel Ennaceur; Zied Elouedi; Eric Lefevre (AI*IA, 2018)

Fake Reviews Detection Under Belief Function Framework. - Malika Ben Khalifa; Zied Elouedi; Eric Lefèvre (AISI, 2018)

Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance. - Safa Ben Ayed; Zied Elouedi; Eric Lefevre (BELIEF, 2018)

CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory. - Safa Ben Ayed; Zied Elouedi; Eric Lefèvre (ICCBR, 2018)

DETD: Dynamic Policy for Case Base Maintenance Based on EK-NNclus Algorithm and Case Types Detection. - Safa Ben Ayed; Zied Elouedi; Eric Lefevre (IPMU (1), 2018)

Ensemble Enhanced Evidential k-NN Classifier Through Rough Set Reducts. - Asma Trabelsi; Zied Elouedi; Eric Lefevre (IPMU (1), 2018)

Multiple Criteria Fake Reviews Detection Using Belief Function Theory. - Malika Ben Khalifa; Zied Elouedi; Eric Lefèvre (ISDA (1), 2018)

Evidential Multi-relational Link Prediction Based on Social Content. - Sabrine Mallek; Imen Boukhris; Zied Elouedi; Eric Lefevre (ISMIS, 2018)

SI on Fuzzy Logic and its Applications (LFA 2015). - Allel Hadjali; Eric Lefevre (Fuzzy Sets Syst., 2018)

The capacitated vehicle routing problem with evidential demands. - Nathalie Helal; Frédéric Pichon; Daniel Porumbel; David Mercier; Eric Lefèvre (Int. J. Approx. Reason., 2018)

Information Fusion With Belief Functions for Detection of Interturn Short-Circuit Faults in Electrical Machines Using External Flux Sensors. - Miftah Irhoumah; Remus Pusca; Eric Lefevre; David Mercier; Raphaël Romary; Cristian Demian (IEEE Trans. Ind. Electron., 2018)

Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory. - Safa Ben Ayed; Zied Elouedi; Eric Lefevre (ECSQARU, 2019)

Multiple Criteria Fake Reviews Detection Based on Spammers' Indicators Within the Belief Function Theory. - Malika Ben Khalifa; Zied Elouedi; Eric Lefèvre (HIS, 2019)

CEVM: Constrained Evidential Vocabulary Maintenance Policy for CBR Systems. - Safa Ben Ayed; Zied Elouedi; Eric Lefevre (IEA/AIE, 2019)

Spammers Detection Based on Reviewers' Behaviors Under Belief Function Theory. - Malika Ben Khalifa; Zied Elouedi; Eric Lefèvre (IEA/AIE, 2019)

Decision tree classifiers for evidential attribute values and class labels. - Asma Trabelsi; Zied Elouedi; Eric Lefevre (Fuzzy Sets Syst., 2019)

Evidential link prediction in social networks based on structural and social information. - Sabrine Mallek; Imen Boukhris; Zied Elouedi; Eric Lefèvre (J. Comput. Sci., 2019)

Evidential joint calibration of binary SVM classifiers. - Pauline Minary; Frédéric Pichon; David Mercier; Eric Lefevre; Benjamin Droit (Soft Comput., 2019)

A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory. - Fares Grina; Zied Elouedi; Eric Lefevre (IDEAL (2), 2020)

Evidential Group Spammers Detection. - Malika Ben Khalifa; Zied Elouedi; Eric Lefèvre (IPMU (2), 2020)

Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means. - Safa Ben Ayed; Zied Elouedi; Eric Lefevre (OCTA, 2020)

An Evidential Spammer Detection based on the Suspicious Behaviors' Indicators. - Malika Ben Khalifa; Zied Elouedi; Eric Lefevre (OCTA, 2020)

E-DBSCAN: An evidential version of the DBSCAN method. - Malek Bessrour; Zied Elouedi; Eric Lefèvre (SSCI, 2020)

An evidential integrated method for maintaining case base and vocabulary containers within CBR systems. - Safa Ben Ayed; Zied Elouedi; Eric Lefevre (Inf. Sci., 2020)

An Extension of Specificity-Based Approximations to Other Belief Function Relations. - Tekwa Tedjini; Sohaib Afifi; Frédéric Pichon; Eric Lefèvre (BELIEF, 2021)

Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory. - Fares Grina; Zied Elouedi; Eric Lefèvre (ECSQARU, 2021)

The Vehicle Routing Problem with Time Windows and Evidential Service and Travel Times: A Recourse Model. - Tekwa Tedjini; Sohaib Afifi; Frédéric Pichon; Eric Lefèvre (ECSQARU, 2021)

Evidential Spammers and Group Spammers Detection. - Malika Ben Khalifa; Zied Elouedi; Eric Lefèvre (ISDA, 2021)

Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise. - Fares Grina; Zied Elouedi; Eric Lefevre (MDAI, 2021)

On Modelling and Solving the Shortest Path Problem with Evidential Weights. - Tuan-Anh Vu; Sohaib Afifi; Eric Lefèvre; Frédéric Pichon (BELIEF, 2022)

Evidential Hybrid Re-sampling for Multi-class Imbalanced Data. - Fares Grina; Zied Elouedi; Eric Lefevre (IPMU (2), 2022)

Déséquilibre multi-classes : une approche évidentielle de rééchantillonnage hybride. - Fares Grina; Zied Elouedi; Eric Lefèvre (LFA, 2022)

Problème du plus court chemin avec poids évidentiels : modélisation et résolution. - Tuan-Anh Vu; Sohaib Afifi; Eric Lefèvre; Frédéric Pichon (LFA, 2022)

Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble. - Fares Grina; Zied Elouedi; Eric Lefevre (SUM, 2022)

CIMMEP: constrained integrated method for CBR maintenance based on evidential policies. - Safa Ben Ayed; Zied Elouedi; Eric Lefevre (Appl. Intell., 2022)

Evidential Generative Adversarial Networks for Handling Imbalanced Learning. - Fares Grina; Zied Elouedi; Eric Lefevre (ECSQARU, 2023)

0-1 Combinatorial Optimization Problems with Qualitative and Uncertain Profits. - Tuan-Anh Vu; Sohaib Afifi; Eric Lefèvre; Frédéric Pichon (IUKM (1), 2023)

Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning. - Fares Grina; Zied Elouedi; Eric Lefevre (Int. J. Approx. Reason., 2023)

An ensemble classifier through rough set reducts for handling data with evidential attributes. - Asma Trabelsi; Zied Elouedi; Eric Lefevre (Inf. Sci., 2023)

Optimization problems with evidential linear objective. - Tuan-Anh Vu; Sohaib Afifi; Eric Lefèvre; Frédéric Pichon (Int. J. Approx. Reason., 2023)

Optimization Under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives. - Tuan-Anh Vu; Sohaib Afifi; Eric Lefèvre; Frédéric Pichon (BELIEF, 2024)

Optimization problems with uncertain objective coefficients using capacities. - Tuan-Anh Vu; Sohaib Afifi; Eric Lefèvre; Frédéric Pichon (Ann. Oper. Res., 2025)