| 2023 | ECSQARU | Evidential Generative Adversarial Networks for Handling Imbalanced Learning. | Fares Grina, Zied Elouedi, Eric Lefevre |
| 2022 | IPMU | Evidential Hybrid Re-sampling for Multi-class Imbalanced Data. | Fares Grina, Zied Elouedi, Eric Lefevre |
| 2021 | MDAI | Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise. | Fares Grina, Zied Elouedi, Eric Lefevre |
| 2020 | IDEAL | A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory. | Fares Grina, Zied Elouedi, Eric Lefevre |
| 2019 | ECSQARU | Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory. | Safa Ben Ayed, Zied Elouedi, Eric Lefevre |
| 2018 | IPMU | DETD: Dynamic Policy for Case Base Maintenance Based on EK-NNclus Algorithm and Case Types Detection. | Safa Ben Ayed, Zied Elouedi, Eric Lefevre |
| 2018 | IPMU | Ensemble Enhanced Evidential k-NN Classifier Through Rough Set Reducts. | Asma Trabelsi, Zied Elouedi, Eric Lefevre |
| 2018 | ISMIS | Evidential Multi-relational Link Prediction Based on Social Content. | Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre |
| 2017 | AICCSA | ECTD: Evidential Clustering and Case Types Detection for Case Base Maintenance. | Safa Ben Ayed, Zied Elouedi, Eric Lefevre |
| 2017 | DEXA | Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts. | Amel Ennaceur, Zied Elouedi, Eric Lefevre |
| 2017 | ECSQARU | Evidential k-NN for Link Prediction. | Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre |
| 2017 | ECSQARU | Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces. | Asma Trabelsi, Zied Elouedi, Eric Lefevre |
| 2017 | IECON | 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, Raphal Romary |
| 2016 | AIMSA | Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory. | Asma Trabelsi, Zied Elouedi, Eric Lefevre |
| 2016 | IPMU | Evidential Missing Link Prediction in Uncertain Social Networks. | Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre |
| 2016 | IPMU | Feature Selection from Partially Uncertain Data Within the Belief Function Framework. | Asma Trabelsi, Zied Elouedi, Eric Lefevre |
| 2015 | ECSQARU | Learning Contextual Discounting and Contextual Reinforcement from Labelled Data. | David Mercier, Frdric Pichon, Eric Lefevre, Franois Delmotte |
| 2015 | EUSFLAT | Comparison of belief AHP models using a simulation study. | Amel Ennaceur, Zied Elouedi, Eric Lefevre |
| 2015 | ICTAI | The Link Prediction Problem under a Belief Function Framework. | Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre |
| 2015 | ISDA | Qualitative AHP models under the belief function framework. | Amel Ennaceur, Zied Elouedi, Eric Lefevre |
| 2014 | IPMU | An Extension of the Analytic Hierarchy Process Method under the Belief Function Framework. | Amel Ennaceur, Zied Elouedi, Eric Lefevre |
| 2013 | ISDA | Modeling expert preference using the qualitative belief function framework. | Amel Ennaceur, Zied Elouedi, Eric Lefevre |
| 2012 | IPMU | Reasoning under Uncertainty in the AHP Method Using the Belief Function Theory. | Amel Ennaceur, Zied Elouedi, Eric Lefevre |
| 2012 | IECON | An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functions. | Rmus Pusca, Cristian Demian, David Mercier, Eric Lefevre, Raphal Romary |
| 2012 | MDAI | Introducing Incomparability in Modeling Qualitative Belief Functions. | Amel Ennaceur, Zied Elouedi, Eric Lefevre |
| 2011 | ECSQARU | Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions. | Eric Lefevre, Zied Elouedi, David Mercier |
| 2010 | ICTAI | Discountings of a Belief Function Using a Confusion Matrix. | Zied Elouedi, Eric Lefevre, David Mercier |
| 2000 | SMC | Knowledge modeling methods in the framework of evidence theory: an experimental comparison for melanoma detection. | Eric Lefevre, Olivier Colot, Patrick Vannoorenberghe, Denis de Brucq |