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2020 – today
- 2024
[c75]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
Optimization Under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives. BELIEF 2024: 197-204- 2023
- [j31]Fares Grina
, Zied Elouedi, Eric Lefevre:
Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning. Int. J. Approx. Reason. 156: 1-15 (2023) - [j30]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
Optimization problems with evidential linear objective. Int. J. Approx. Reason. 161: 108987 (2023) - [j29]Asma Trabelsi, Zied Elouedi, Eric Lefevre:
An ensemble classifier through rough set reducts for handling data with evidential attributes. Inf. Sci. 635: 414-429 (2023) - [c74]Fares Grina, Zied Elouedi, Eric Lefevre:
Evidential Generative Adversarial Networks for Handling Imbalanced Learning. ECSQARU 2023: 257-269 - [c73]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
0-1 Combinatorial Optimization Problems with Qualitative and Uncertain Profits. IUKM (1) 2023: 139-151 - 2022
- [j28]Safa Ben Ayed, Zied Elouedi, Eric Lefevre:
CIMMEP: constrained integrated method for CBR maintenance based on evidential policies. Appl. Intell. 52(6): 6939-6954 (2022) - [c72]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
On Modelling and Solving the Shortest Path Problem with Evidential Weights. BELIEF 2022: 139-149 - [c71]Fares Grina, Zied Elouedi, Eric Lefevre:
Evidential Hybrid Re-sampling for Multi-class Imbalanced Data. IPMU (2) 2022: 612-623 - [c70]Fares Grina, Zied Elouedi, Eric Lefèvre:
Déséquilibre multi-classes : une approche évidentielle de rééchantillonnage hybride. LFA 2022 - [c69]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
Problème du plus court chemin avec poids évidentiels : modélisation et résolution. LFA 2022 - [c68]Fares Grina, Zied Elouedi, Eric Lefevre:
Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble. SUM 2022: 235-248 - 2021
- [c67]Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefèvre:
An Extension of Specificity-Based Approximations to Other Belief Function Relations. BELIEF 2021: 224-233 - [c66]Fares Grina, Zied Elouedi, Eric Lefèvre:
Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory. ECSQARU 2021: 342-353 - [c65]Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefèvre:
The Vehicle Routing Problem with Time Windows and Evidential Service and Travel Times: A Recourse Model. ECSQARU 2021: 381-395 - [c64]Malika Ben Khalifa, Zied Elouedi, Eric Lefèvre:
Evidential Spammers and Group Spammers Detection. ISDA 2021: 255-265 - [c63]Fares Grina, Zied Elouedi, Eric Lefevre:
Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise. MDAI 2021: 181-192 - [e1]Thierry Denoeux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon:
Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings. Lecture Notes in Computer Science 12915, Springer 2021, ISBN 978-3-030-88600-4 [contents] - 2020
- [j27]Safa Ben Ayed, Zied Elouedi, Eric Lefevre:
An evidential integrated method for maintaining case base and vocabulary containers within CBR systems. Inf. Sci. 529: 214-229 (2020) - [c62]Fares Grina, Zied Elouedi, Eric Lefevre:
A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory. IDEAL (2) 2020: 3-11 - [c61]Malika Ben Khalifa, Zied Elouedi, Eric Lefèvre:
Evidential Group Spammers Detection. IPMU (2) 2020: 341-353 - [c60]Safa Ben Ayed, Zied Elouedi, Eric Lefevre:
Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means. OCTA 2020: 1-10 - [c59]Malika Ben Khalifa, Zied Elouedi, Eric Lefevre:
An Evidential Spammer Detection based on the Suspicious Behaviors' Indicators. OCTA 2020: 1-8 - [c58]Malek Bessrour, Zied Elouedi, Eric Lefèvre:
E-DBSCAN: An evidential version of the DBSCAN method. SSCI 2020: 3073-3080
2010 – 2019
- 2019
- [j26]Asma Trabelsi, Zied Elouedi, Eric Lefevre:
Decision tree classifiers for evidential attribute values and class labels. Fuzzy Sets Syst. 366: 46-62 (2019) - [j25]Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefèvre:
Evidential link prediction in social networks based on structural and social information. J. Comput. Sci. 30: 98-107 (2019) - [j24]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit:
Evidential joint calibration of binary SVM classifiers. Soft Comput. 23(13): 4655-4671 (2019) - [c57]Safa Ben Ayed, Zied Elouedi, Eric Lefevre:
Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory. ECSQARU 2019: 113-124 - [c56]Malika Ben Khalifa, Zied Elouedi, Eric Lefèvre:
Multiple Criteria Fake Reviews Detection Based on Spammers' Indicators Within the Belief Function Theory. HIS 2019: 145-155 - [c55]Safa Ben Ayed, Zied Elouedi, Eric Lefevre:
CEVM: Constrained Evidential Vocabulary Maintenance Policy for CBR Systems. IEA/AIE 2019: 579-592 - [c54]Malika Ben Khalifa, Zied Elouedi, Eric Lefèvre:
Spammers Detection Based on Reviewers' Behaviors Under Belief Function Theory. IEA/AIE 2019: 642-653 - 2018
- [j23]Allel Hadjali, Eric Lefevre:
SI on Fuzzy Logic and its Applications (LFA 2015). Fuzzy Sets Syst. 343: 1-2 (2018) - [j22]Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefèvre:
The capacitated vehicle routing problem with evidential demands. Int. J. Approx. Reason. 95: 124-151 (2018) - [j21]Miftah Irhoumah, Remus Pusca, Eric Lefevre, David Mercier, Raphaël Romary, Cristian Demian:
Information Fusion With Belief Functions for Detection of Interturn Short-Circuit Faults in Electrical Machines Using External Flux Sensors. IEEE Trans. Ind. Electron. 65(3): 2642-2652 (2018) - [c53]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Analytical Network Process Method Under the Belief Function Framework. AI*IA 2018: 553-563 - [c52]Malika Ben Khalifa, Zied Elouedi, Eric Lefèvre:
Fake Reviews Detection Under Belief Function Framework. AISI 2018: 395-404 - [c51]Safa Ben Ayed, Zied Elouedi, Eric Lefevre:
Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance. BELIEF 2018: 22-30 - [c50]Safa Ben Ayed, Zied Elouedi, Eric Lefèvre:
CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory. ICCBR 2018: 28-44 - [c49]Safa Ben Ayed, Zied Elouedi, Eric Lefevre:
DETD: Dynamic Policy for Case Base Maintenance Based on EK-NNclus Algorithm and Case Types Detection. IPMU (1) 2018: 370-382 - [c48]Asma Trabelsi, Zied Elouedi, Eric Lefevre:
Ensemble Enhanced Evidential k-NN Classifier Through Rough Set Reducts. IPMU (1) 2018: 383-394 - [c47]Malika Ben Khalifa, Zied Elouedi, Eric Lefèvre:
Multiple Criteria Fake Reviews Detection Using Belief Function Theory. ISDA (1) 2018: 315-324 - [c46]Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre:
Evidential Multi-relational Link Prediction Based on Social Content. ISMIS 2018: 333-343 - 2017
- [j20]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit:
Face pixel detection using evidential calibration and fusion. Int. J. Approx. Reason. 91: 202-215 (2017) - [j19]Ahmed Samet, Yamine Bouzembrak, Eric Lefèvre:
Supply Chain Network Design under Uncertainty with Evidence Theory. Logist. Res. 10(1): 8 (2017) - [j18]Asma Trabelsi, Zied Elouedi, Eric Lefevre:
Comparing dependent combination rules under the belief classifier fusion framework. Soft Comput. 21(23): 6919-6932 (2017) - [c45]Safa Ben Ayed, Zied Elouedi, Eric Lefevre:
ECTD: Evidential Clustering and Case Types Detection for Case Base Maintenance. AICCSA 2017: 1462-1469 - [c44]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts. DEXA (2) 2017: 441-449 - [c43]Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefèvre:
A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands. ECSQARU 2017: 190-200 - [c42]Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre:
Evidential k-NN for Link Prediction. ECSQARU 2017: 201-211 - [c41]Asma Trabelsi, Zied Elouedi, Eric Lefevre:
Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces. ECSQARU 2017: 212-221 - [c40]Asma Trabelsi, Zied Elouedi, Eric Lefevre:
A Novel k-NN Approach for Data with Uncertain Attribute Values. IEA/AIE (1) 2017: 160-170 - [c39]Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre:
Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes. IEA/AIE (1) 2017: 595-601 - [c38]Miftah Irhoumah, David Mercier, Remus Pusca, Eric Lefevre, Raphaël Romary:
Information fusion of external flux sensors for detection of inter-turn short circuit faults in induction machines. IECON 2017: 8076-8081 - [c37]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit:
Evidential Joint Calibration of Binary SVM Classifiers Using Logistic Regression. SUM 2017: 405-411 - 2016
- [j17]David Mercier, Frédéric Pichon, Eric Lefèvre:
Corrigendum to "Belief functions contextual discounting and canonical decompositions" [International Journal of Approximate Reasoning 53 (2012) 146-158]. Int. J. Approx. Reason. 70: 137-139 (2016) - [j16]Frédéric Pichon, David Mercier, Eric Lefèvre, François Delmotte:
Proposition and learning of some belief function contextual correction mechanisms. Int. J. Approx. Reason. 72: 4-42 (2016) - [j15]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Belief AHP Method - AHP Method with the Belief Function Framework. Int. J. Inf. Technol. Decis. Mak. 15(3): 553-574 (2016) - [j14]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
Evidential data mining: precise support and confidence. J. Intell. Inf. Syst. 47(1): 135-163 (2016) - [c36]Asma Trabelsi, Zied Elouedi, Eric Lefevre:
Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory. AIMSA 2016: 26-35 - [c35]Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefèvre:
The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach. BELIEF 2016: 212-221 - [c34]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefèvre, Benjamin Droit:
An Evidential Pixel-Based Face Blurring Approach. BELIEF 2016: 222-230 - [c33]Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre:
Evidential Missing Link Prediction in Uncertain Social Networks. IPMU (1) 2016: 274-285 - [c32]Asma Trabelsi, Zied Elouedi, Eric Lefevre:
Feature Selection from Partially Uncertain Data Within the Belief Function Framework. IPMU (2) 2016: 643-655 - [c31]Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre:
An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks. IUKM 2016: 280-292 - 2015
- [j13]Ahmed Samet, Eric Lefèvre, Imen Hammami, Sadok Ben Yahia:
Reliability Estimation Measure: Generic Discounting Approach. Int. J. Pattern Recognit. Artif. Intell. 29(7): 1559011:1-1559011:31 (2015) - [c30]Asma Trabelsi, Zied Elouedi, Eric Lefèvre:
Belief Function Combination: Comparative Study Within the Classifier Fusion Framework. AISI 2015: 425-435 - [c29]David Mercier, Frédéric Pichon, Eric Lefevre, François Delmotte:
Learning Contextual Discounting and Contextual Reinforcement from Labelled Data. ECSQARU 2015: 472-481 - [c28]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Comparison of belief AHP models using a simulation study. IFSA-EUSFLAT 2015 - [c27]Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre:
The Link Prediction Problem under a Belief Function Framework. ICTAI 2015: 1013-1020 - [c26]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Qualitative AHP models under the belief function framework. ISDA 2015: 128-133 - [c25]Asma Trabelsi, Zied Elouedi, Eric Lefèvre:
Classifier Fusion Within the Belief Function Framework Using Dependent Combination Rules. ISMIS 2015: 133-138 - [c24]Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre:
Evidential Link Prediction Based on Group Information. MIKE 2015: 482-492 - 2014
- [j12]Mira Bou Farah, David Mercier, Eric Lefèvre, François Delmotte:
A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks. Ann. des Télécommunications 69(3-4): 185-199 (2014) - [j11]Ahmed Samet, Eric Lefevre, Sadok Ben Yahia:
Integration of Extra-Information for Belief Function Theory Conflict Management Problem Through Generic Association Rules. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(4): 531-552 (2014) - [j10]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Multi-Criteria Decision Making Method with Belief Preference Relations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(4): 573-590 (2014) - [j9]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
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 20: 6 (2014) - [j8]Samir Hachour, François Delmotte, David Mercier, Eric Lefèvre:
Object tracking and credal classification with kinematic data in a multi-target context. Inf. Fusion 20: 174-188 (2014) - [c23]Frédéric Pichon, David Mercier, François Delmotte, Eric Lefevre:
Truthfulness in Contextual Information Correction. Belief Functions 2014: 11-20 - [c22]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
Evidential Database: A New Generalization of Databases? Belief Functions 2014: 105-114 - [c21]Mira Bou Farah, David Mercier, François Delmotte, Eric Lefèvre, Sylvain Lagrue:
Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETs. Belief Functions 2014: 124-133 - [c20]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Modeling Qualitative Assessments under the Belief Function Framework. Belief Functions 2014: 171-179 - [c19]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
Classification with Evidential Associative Rules. IPMU (1) 2014: 25-35 - [c18]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
An Extension of the Analytic Hierarchy Process Method under the Belief Function Framework. IPMU (3) 2014: 233-242 - [c17]Ahmed Samet, Eric Lefevre, Sadok Ben Yahia:
Belief Function Classification with Conflict Management: Application on Forest Image. SITIS 2014: 14-20 - 2013
- [j7]Eric Lefèvre, Zied Elouedi:
How to preserve the conflict as an alarm in the combination of belief functions? Decis. Support Syst. 56: 326-333 (2013) - [c16]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Multicriteria Decision Making Based on Qualitative Assessments and Relational Belief. AI*IA 2013: 48-59 - [c15]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Modeling expert preference using the qualitative belief function framework. ISDA 2013: 98-103 - [c14]Mira Bou Farah, David Mercier, Eric Lefevre, François Delmotte:
Exchanging dynamic and imprecise information in V2V networks with belief functions. ITSC 2013: 967-972 - [c13]Ahmed Samet, Imen Hammami, Eric Lefèvre, Atef Hamouda:
Generic Discounting Evaluation Approach for Urban Image Classification. IUKM 2013: 79-90 - [c12]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
Mining Frequent Itemsets in Evidential Database. KSE (2) 2013: 377-388 - [c11]Samir Hachour, François Delmotte, David Mercier, Eric Lefevre:
Multi-sensor multi-target tracking with robust kinematic data based credal classification. SDF 2013: 1-6 - 2012
- [j6]Alexandre Veremme, Eric Lefevre, Gildas Morvan, Daniel Dupont, Daniel Jolly:
Evidential calibration process of multi-agent based system: An application to forensic entomology. Expert Syst. Appl. 39(3): 2361-2374 (2012) - [j5]David Mercier, Eric Lefèvre, François Delmotte:
Belief functions contextual discounting and canonical decompositions. Int. J. Approx. Reason. 53(2): 146-158 (2012) - [c10]Rémus Pusca, Cristian Demian, David Mercier, Eric Lefevre, Raphaël Romary:
An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functions. IECON 2012: 5096-5101 - [c9]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Reasoning under Uncertainty in the AHP Method Using the Belief Function Theory. IPMU (4) 2012: 373-382 - [c8]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Introducing Incomparability in Modeling Qualitative Belief Functions. MDAI 2012: 382-393 - 2011
- [j4]David Mercier, Eric Lefevre, Daniel Jolly:
Object association with belief functions, an application with vehicles. Inf. Sci. 181(24): 5485-5500 (2011) - [c7]Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle Assessment. AI*IA 2011: 395-400 - [c6]Eric Lefevre, Zied Elouedi, David Mercier:
Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions. ECSQARU 2011: 314-325 - [c5]Mira Bou Farah, David Mercier, Eric Lefèvre, François Delmotte:
Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions. Intelligent Vehicles Symposium 2011: 436-441 - 2010
- [c4]Zied Elouedi, Eric Lefevre, David Mercier:
Discountings of a Belief Function Using a Confusion Matrix. ICTAI (1) 2010: 287-294 - [p1]David Mercier, Eric Lefevre, Daniel Jolly:
Association pour le suivi d'objets dans le cadre des fonctions de croyance, appliquée aux véhicules intelligents. Fouille de données complexe 2010: 25-50
2000 – 2009
- 2009
- [c3]Alexandre Veremme, Daniel Dupont, Eric Lefèvre, David Mercier:
Belief assignment on compound hypotheses within the framework of the Transferable Belief Model. FUSION 2009: 498-505 - 2008
- [j3]Yann Lemeret, Eric Lefevre, Daniel Jolly:
Improvement of an association algorithm for obstacle tracking. Inf. Fusion 9(2): 234-245 (2008) - 2006
- [c2]Yann Lemeret, Eric Lefevre, Daniel Jolly:
An association algorithm for tracking multiple moving objects. ITSC 2006: 1334-1339 - 2003
- [j2]Eric Lefevre, Olivier Colot, Patrick Vannoorenberghe:
Reply to the Comments of R. Haenni on the paper "Belief functions combination and conflict management. Inf. Fusion 4(1): 63-65 (2003) - 2002
- [j1]Eric Lefevre, Olivier Colot, Patrick Vannoorenberghe:
Belief function combination and conflict management. Inf. Fusion 3(2): 149-162 (2002) - 2000
- [c1]Eric Lefevre, Olivier Colot, Patrick Vannoorenberghe, Denis de Brucq:
Knowledge modeling methods in the framework of evidence theory: an experimental comparison for melanoma detection. SMC 2000: 2806-2811
Coauthor Index
[j31] [j29] [c74] [j28] [c71] [c70] [c68] [c66] [c64] [c63] [j27] [c62] [c61] [c60] [c59] [c58] [j26] [j25] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [j18] [c45] [c44] [c42] [c41] [c40] [c39] [j15] [c36] [c33] [c32] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [j10] [c20] [c18] [j7] [c16] [c15] [c9] [c8] [c7] [c6] [c4]
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