Publications

PhD Thesis and HDR:

Habilitation à Diriger des Recherches de l'Université d'Artois, "Fonctions de Croyance : de la théorie à la pratique", Spécialité : Génie Informatique et Automatique, Laboratoire LGI2A, décembre 2012, 157 pages. (Version complète)

Doctorat de l'Institut National des Sciences Appliquées de Rouen (INSA de Rouen), "Fusion adaptée d'informations conflictuelles dans le cadre de la théorie de l'évidence", Spécialité : Physique, Laboratoire Perception Systèmes et Information (PSI, FRE 2645 CNRS), novembre 2001, 198 pages. (Résumé en pdf) (Version complète en pdf)

International Journal Articles (32):

  1. A. Vu, S. Afifi, E. Lefevre, F. Pichon "Optimization problems with evidential linear objective", International Journal of Approximate Reasonning, n°161, pp. 108987, 2023. (pdf) (Inpact factor 2022 : 3.9). 

  2. A. Trabelsi, Z. Elouedi, E. Lefevre, "An ensemble classifier through rough set reducts for handling data with evidential attributes", Information Sciences, n°635, pp. 414-429, 2023. (pdf) (Inpact factor 2022 : 8.1). 

  3. F. Grina, Z. Elouedi, E. Lefevre, "Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning", International Journal of Approximate Reasoning, n°156, pp. 1-15, 2023. (pdf) (Inpact factor 2022 : 3.9). 

  4. S. Ben Ayed, Z. Elouedi, E. Lefevre, "CIMMEP: constrained integrated method for CBR maintenance based on evidential policies", Applied Intelligence, n°52, pp. 6939-6954, 2022. (pdf) (Inpact factor : 5.3). 

  5. M. Irhoumah, R. Pusca, E. Lefevre, D. Mercier, R. Romary, "Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines", Electronics, n°10 (18), pp. 2313, 2021. (pdf) (Inpact factor : 2.69). 

  6. S. Ben Ayed, Z. Elouedi, E. Lefevre, "An evidential integrated method for maintaining case base and vocabulary containers within CBR systems", Information Sciences, Vol. 529, n°3, pp. 214-229, aout 2020. (pdf) (Impact factor 2019 : 5.910).

  7. M. Irhoumah, R. Pusca, E. Lefevre, D. Mercier, R. Romary, "Detection of the stator winding inter-turn faults in asynchronous and synchronous machines through the correlation between harmonics of the voltage of two magnetic flux sensors", IEEE Transactions on Industry Applications, Vol. 55, n°3, pp. 2682-2689, mai-juin 2019. (pdf) (Impact factor : 3.488).

  8. P. Minary, P. Pichon, D. Mercier, E. Lefevre, B. Droit, "Evidential joint calibration of binary SVM classifiers", Soft Computing, Vol. 23, n°13, pp. 4655-4671, 2019.(pdf) (Impact factor : 3.050).

  9. A. Trabelsi, Z. Elouedi, E. Lefevre, "Decision tree classifiers for evidential attribute values and class labels", Fuzzy sets and Systems (FSS), Vol. 366, pp. 46-62, 2019. (pdf) (Impact factor : 2.305).

  10. S. Mallek, I. Boukhris, Z. Elouedi, E. Lefevre, "Evidential link prediction in social networks based on structural and social information", Journal of Computational Science, Vol. 30, pp. 98-107, Janvier 2019. (pdf). (Impact factor : 2.644).

  11. N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefevre, "The capacitated vehicle routing problem with evidential demands" International Journal of Approximate Reasoning (IJAR), Vol. 95, pp. 124-151, 2018. (pdf) (Impact factor : 1.982).

  12. M. Irhoumah, R. Pusca, E. Lefevre, D. Mercier, R. Romary, C. Demian, "Information fusion with belief functions for detection of inter-turn short circuit faults in electrical machines using external flux sensors", IEEE Transaction on Industrial Electronics (IEEE-TIE), Vol. 65, n°3, pp. 2642-2652, mars 2018. (pdf) (Impact factor : 7.503).

  13. P. Minary, P. Pichon, D. Mercier, E. Lefevre, B. Droit,  "Face pixel detection using evidential calibration and fusion", International Journal of Approximate Reasoning (IJAR), Vol. 91, pp. 202-215, 2017. (pdf) (Impact factor : 1.776).

  14. A. Trabelsi, Z. Elouedi, E. Lefevre, "Comparing dependent combination rules under the belief classifier fusion framework", Soft Computing, Vol. 21, n°23, pp. 6919-6932, 2017. (pdf) (Impact factor : 2.367).

  15. M. Bou Farah, D. Mercier, F. Delmotte, E. Lefevre, "Methods using belief functions to manage imperfect information concerning events on the road in VANETs", Transportation Research Part C: Emerging Technologies, Vol. 67, pp. 299-320, 2016. (pdf) (Impact factor: 3.805).

  16. A. Ennaceur, Z. Elouedi, E. Lefevre, "Belief AHP method: AHP method with the belief function framework", International Journal of Information Technology & Decision Making (IJITDM), Vol. 15, n°3, pp. 553-573, 2016. (pdf) (Impact factor: 1.664).

  17. A. Samet, E. Lefevre, S. Ben Yahia, "Evidential data mining: precise support and confidence", Journal of Intelligent Information Systems (JIIS), Vol 47, n°1, pp. 135-163, 2016. (pdf) (Impact factor: 1.294).

  18. F. Pichon, D. Mercier, E. Lefevre, F. Delmotte, "Proposition and learning of some belief function contextual correction mechanisms", International Journal of Approximate Reasoning (IJAR), Vol. 72, pp. 4-42, 2016. (pdf) (Impact factor: 2.845).

  19. D. Mercier, F. Pichon, E. Lefevre, "Corrigendum to "Belief function contextual discounting and canonical decompositions" [International Journal of Approximate Reasoning 53 (2012 146-158]", International Journal of Approximate Reasoning (IJAR), Vol. 70, pp. 137-139, 2016. (pdf) (Impact factor: 2.845).

  20. A. Samet, E. Lefevre, I. Hammami, S. Ben Yahia, "Reliability estimation measure: Generic discounting approach", International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 29, n°7, novembre 2015. (pdf) (Impact factor: 0.915).

  21. A. Samet, E. Lefevre, S. Ben Yahia, "Integration of extra-information for belief function theory conflict management problem through generic association rules", International Journal of Uncertainty, Fuzziness and Knowledge-based Systems (IJUFKS), Vol. 22, n°4, pp. 531-551, août 2014. (pdf) (Impact factor: 0.954).

  22. A. Ennaceur, Z. Elouedi, E. Lefevre, "Multi-criteria decision making method with belief preference relations", International Journal of Uncertainty, Fuzziness and Knowledge-based Systems (IJUFKS),. Vol. 22, n°4, pp. 573-590, août 2014. (pdf) (Impact factor: 0.954).

  23. S. Hachour, F. Delmotte, D. Mercier, E. Lefevre, "Object tracking and credal classification with kinematic data in a multi-target context", Information Fusion, Vol. 20, n°6, pp. 174-188, novembre 2014. (pdf) (Impact factor: 3.681).

  24. M. Bou Farah, D. Mercier, E. Lefevre, F. Delmotte, "A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad-hoc networks", Annals of telecommunications: special issues on belief functions in telecommunication and networks, Vol. 69, n°3-4, pp. 185-199, 2014 (pdf) (Impact factor: 0.699)

  25. E. Lefevre, Z. Elouedi, "How to preserve the conflict as an alarm in the combination of belief functions?", Decision Supports Systems, Vol. 56, pp. 326-333, Décembre 2013. (pdf) (Impact factor: 2.036)

  26. A. Veremme, E. Lefevre, G. Morvan, D. Dupont, D. Jolly, "Evidential calibration process of multi-agent based system: An application to forensic entomology", Expert Systems with Applications, Vol. 39, n°3, pp. 2361-2374, Février 2012. (pdf) (Impact factor: 1.854)

  27. D. Mercier, E. Lefevre, F. Delmotte, "Belief Functions Contextual Discounting and Canonical Decompositions", International Journal of Approximate Reasoning, Vol. 53, n°2, pp. 146-158, Février 2012. (pdf) (Impact factor: 1.729)

  28. D. Mercier, E. Lefevre, D. Jolly, "Object association with belief functions, an application with vehicles", Information. Sciences, Vol. 181, n°24, pp 5485-5500, December 2011. (pdf). (Impact factor: 2.833)

  29. F. Perisse, D. Mercier, E. Lefevre et D. Roger, "Robust Diagnostic Based on High Frequency Resonance Measurements", IEEE Transaction on Dielectrics and Electrical Insulation, Vol. 16, n°5, pp. 1496-1502, October 2009. (pdf) (Impact factor: 0.848)

  30. Y. Lemeret, E. Lefevre et D. Jolly, "Improvement of an association algorithm for obstacle tracking", Information Fusion, Vol. 9, n°2, pp. 234-245, 2008. (pdf) (Impact factor: 2.057)

  31. E. Lefevre, O. Colot, P. Vannoorenberghe, "Reply to the comments of R. Haenni on the paper "Belief function combination and conflict management", Information Fusion, Vol. 4, n°1, pp. 63-65, 2003. (pdf)

  32. E. Lefevre, O. Colot, P. Vannoorenberghe, "Belief function combination and conflict management", Information Fusion, Vol. 3, n°2, pp. 149-162, 2002. (pdf)

 

Book Chapter: (1)

  1. R. Pusca, E. Lefevre, D. Mercier, R. Romary, M. Irhoumah, "Diagnosis of electrical machines by external field measurement", in A. Soauhli and H. Razik (Eds), Electrical Systems 2: From Diagnosis to Prognosis, chapter 1, Wiley Online Library, pp. 1-35, 2020. (https://doi.org/10.1002/9781119720584.ch1)

Edited journal issues (1):

  1. A. Hadjali, E. Lefevre,  "SI on Fuzzy Logic and its Applications (LFA 2015)", Fuzzy Sets and Systems, Vol. 343, pp. 1-2, 2018. (pdf)

Edited conference proceedings (2):

  1. E. Lefevre, A. Hadjali, LFA'2015. 24e Rencontres Francophones sur la Logique Floue et ses Applications (LFA'2015), Poitiers, France, 5-6 novembre, 2015. Cépaduès

  2. T. Denoeux, E. Lefevre, , Z. Liu, F., Belief Functions: Theory and Applications. 6th International Conference (BELIEF 2021), Shanghai, China, October 15-17, 2021. Lecture Notes in Artificial Intelligence, 12915, Springer, 2021

French-speaking Journal Articles (3):

  1. D. Mercier, E. Lefevre, D. Jolly, "Association pour le suivi d’objets dans le cadre des fonctions de croyance, appliquée aux véhicules intelligents", Revue des Nouvelles Technologies de l'Information, Numéro Spécial "Fouille de données Complexes", Vol. E-18, pp. 25-50, 2010. (pdf)

  2. E. Lefevre, O. Colot, P. Vannoorenberghe, D. de Brucq, "Informations et combinaison : les liaisons conflictuelles", Traitement du Signal, Vol. 18, n°3, pp.161-177, 2001. (pdf)

  3. E. Lefevre, O. Colot, P. Vannoorenberghe, D. de Brucq, "Contribution des mesures d'information à la modélisation crédibiliste de connaissance", Traitement du Signal, Vol. 17, n°2, pp.87-97, 2000. (pdf)


International Conference Papers (99):

  1. A. Vu, S. Afifi, E. Lefevre, F. Pichon, "Optimization Under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives", 8th International Conference on Belief Functions, BELIEF'2024, pp. 197-204, 2024. (pdf).

  2. F. Grina, Z. Elouedi, E. Lefevre, "Evidential generative adversarial networks for handling imbalanced learning", 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2023, pp. 259-267, 2023. (pdf).

  3. A. Vu, S. Afifi, E. Lefevre, F. Pichon, "0-1 combinatorial optimization problems with qualitative and uncertain profits", 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM'2023, pp. 139-151, 2023. (pdf).

  4. F. Grina, Z. Elouedi, E. Lefevre, "Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble", 15th International Conference on Scalable Uncertainty Management, SUM'2022, pp. 235-248, 2022. (pdf).

  5. A. Vu, S. Afifi, E. Lefevre, F. Pichon, "On Modelling and Solving the Shortest Path Problem with Evidential Weights", 7th International Conference on Belief Functions, BELIEF'2022, pp. 139-149, 2022. (pdf).

  6. F. Grina, Z. Elouedi, E. Lefevre, "Evidential Hybrid Re-sampling for Multi-class Imbalanced Data", International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2022, pp. 612-623, 2022. (pdf).

  7. T. Tedjini, S. Afifi, F. Pichon, E. Lefevre, "An extension of specificity-based approximations to other belief function relations", 6th International Conference on Belief Functions, BELIEF'2021, pp. 224-233, 2021. (pdf).

  8. T. Tedjini, S. Afifi, F. Pichon, E. Lefevre, "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, pp.381-395, 2021. (pdf).

  9. F. Grina, Z. Elouedi, E. Lefevre, "Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise", International Conference on Modeling Decisions for Artificial Intelligence, MDAI'2021, pp. 181-192, 2021. (pdf).

  10. F. Grina, Z. Elouedi, E. Lefevre, "Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory", 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2021, pp. 342-353, 2021. (pdf).

  11. M. Ben Khalifa, Z. Elouedi, E. Lefevre, "Evidential Spammers and Group Spammers Detection", 21th International Conference on Intelligent Systems Design and Applications, ISDA'2021. pp.255-265, 2021. (pdf)

  12. F. Grina, Z. Elouedi, E. Lefevre, "A preprocessing approach for class-imbalanced data using SMOTE and Belief function theory", 21st International Conference on Intelligent Data Engineering and Automated Learning, IDEAL'2020, pp. 3-11, 2020. (pdf).

  13. M. Ben Khalifa, Z. Elouedi, E. Lefevre, "An evidential group spammers detection", 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2020. pp. 341-353, 2020. (pdf)

  14. M. Ben Khalifa, Z. Elouedi, E. Lefevre, "An evidential Spammer detection based on the suspicious behaviors'indicators", International multiconference on Organization of Knowledge and advanced technologies, OCTA'2019, pp. 1-8, 2020.  (pdf)

  15. M. Irhoumah, R. Pusca, E. Lefevre, D. Mercier, R. Romary, "Adapted coil sensors for measuring the external magnetic field of electrical machines", International conference on engineering & MIS, ICEMIS'2020, Article n° 88, pp. 1-7, 2020. (pdf)

  16. M. Bessrour, Z. Elouedi,  E. Lefevre,"E-DBSCAN: An evidential version of the DBSCAN method", IEEE Symposium Series on Computational Intelligence, SSCI'2020, pp. 3073-3080, 2020.

  17. S. Ben Ayed, Z. Elouedi, E. Lefevre, "Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means", International multiconference on Organization of Knowledge and advanced technologies, OCTA'2019, pp 1-10, 2020.  (pdf)

  18. M. Ben Khalifa, Z. Elouedi, E. Lefevre, "Multiple criteria fake reviews detection based on spammers’ indicators within the belief function theory", 19th International Conference on Hybrid Intelligent Systems, HIS’2019.  pp. 145-155. (pdf)

  19. S. Ben Ayed, Z. Elouedi, E. Lefevre, "Exploiting prior knowledge for evaluating CBR systems using a coverage & constrained evidential clustering based model", 16th International Conference on Applied Computing, AC'2019, pp. 171-178, 2019. (pdf)

  20. M Ben Khalifa, Z. Elouedi, E. Lefevre, "Fake reviews detection based on both the review and the reviewer features under belief function theory", 16th international conference Applied Computing, AC’2019, pp. 123–130, 2019. (pdf)

  21. S. Ben Ayed, Z. Elouedi, E. Lefevre, "Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory", 15th European Conference on Symbolic and Quantitative Approaches with Uncertainty, ECSQARU'2019, pp. 113- 124, 2019. (pdf)

  22. M. Irhoumah, R. Pusca, E. Lefevre, D. Mercier, R. Romary, "Information fusion with Correlation Coefficient for detecting inter-turn short circuit faults in asynchronous machines", 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED'2019, pp 232-237, 2019. (pdf)

  23. M. Ben Khalifa, Z. Elouedi, E. Lefevre, "Spammers detection based on reviewers' behaviors under belief function theory", 32th International Conference on Industrial, Engineering other Applications of Applied Intelligent Systems, IEA/AIE’2019, pp. 642-653, 2019. (pdf).

  24. S. Ben Ayed, Z. Elouedi, E. Lefèvre, "CEVM: Constrained evidential vocabulary maintenance policy for CBR systems", 32th International Conference on Industrial, Engineering other Applications of Applied Intelligent Systems, IEA/AIE’2019, pp. 579-592, 2019. (pdf).

  25. M. Ben Khalifa, Z. Elouedi,  E. Lefevre, "Multiple criteria fake reviews detection using belief function theory", 18th International Conference on Intelligent Systems Design and Applications, ISDA'2018, pp. 315-324, 2018. (pdf).

  26. S. Ben Ayed, Z. Elouedi, E. Lefèvre, "CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory", 26th International Conference on Case-Based Reasoning, ICCBR'2018, pp. 28-44, 2018. (pdf).

  27. A. Ennaceur, Z. Elouedi, E. Lefevre, "Analytical Network Process Method Under the Belief Function Framework", 17th International Conference of the Italian Association for Artificial Intelligence, AI*IA'2018, pp. 553-563, 2018. (pdf).

  28. S. Ben Ayed, Z. Elouedi, E. Lefevre, "Exploiting domain-experts knowledge within an evidential process for case base maintenance", 5th International Conference on Belief Functions, BELIEF'2018, pp. 22-30, 2018. (pdf).

  29. S. Ben Ayed, Z. Elouedi, E. Lefevre, "Maintaining case knowledge vocabulary using a new evidential attribute clustering method", 13th International Conference on data science and knowledge engineering for sensing decision support, FLINS'2018, pp. 347-354, 2018. (pdf).

  30. A. Trabelsi, Z. Elouedi, E. Lefevre, "Ensemble evidential editing k-NNs through rough set reducts", 13th International conference on data science and knowledge engineering for sensing decision support, FLINS'2018, pp. 652-659, 2018. (pdf).

  31. S. Mallek, I. Boukris, Z. Elouedi, E. Lefevre, "Evidential multi-relational link prediction based on social content", 24th International Symposium on Methodologies for Intellignets Systems", ISMIS'2018, pp. 333-343, 2018. (pdf).

  32. S. Ben Ayed, Z. Elouedi, E. Lefevre, "DETD: dynamic Policy for case base maintenance based on EK-NNClus algorithm and case types detection", 17th International conference on Information Processing and Management of Uncertainty in knowledge-based systems, IPMU'2018, pp. 370-382, 2018. (pdf).

  33. A. Trabelsi, Z. Elouedi, E. Lefevre, "Ensemble Enhanced evidentiel K-NN classifier through Rough set reducts", 17th International conference on Information Processing and Management of Uncertainty in knowledge-based systems, IPMU'2018, pp. 383-394, 2018. (pdf).

  34. M. Ben Khalifa, Z. Elouedi, E. Lefevre, "Fake reviews detection under belief function framework", 4th International Conference on Advanced Intelligent Systems and Informatics, AISI'2018, pp. 395-404, 2018. (pdf).

  35. S. Ben Ayed, Z. Elouedi, E. Lefevre, "ECTD: Evidential Clustering and case Types Detection for case base maintenance", 14th International Conference on Computer Systems and Applications, AICCSA'2017 IEEE/ACS, pp. 1462-1469, 2017. (pdf)

  36. P. Minary, F. Pichon, D. Mercier, E. Lefevre, B. Droit, "Evidential joint calibration of binary SVM classifiers using logistic regression", 11th International Conference on Scalable Uncertainty Management, SUM'2017, pp. 405-411, 2017. (pdf)

  37. M. Irhoumah, R. Pusca, E. Lefevre, D. Mercier, R. Romary, "Information fusion of external flux sensors for detection of  inter-turn short circuit faults in induction machines", 43rd Annual Conference on the IEEE Industrial Electronics Society, IECON'2017, pp. 8076-8081, 2017 (pdf)

  38. M. Irhoumah, R. Pusca, E. Lefevre, D. Mercier, R. Romary, "Detection of stator fault in synchronous generator without the knowledge of the healthy", 12th  International Conference on Modeling and Simulation of Electrics Machines, Converters and Systems, ELECTRIMACS'2017, pp. ??-??, 2017. (pdf)

  39. M.Irhoumah, R. Pusca, E. Lefevre, D. Mercier, R. Romary, "Diagnosis of induction machines using external magnetic field and correlation coefficient", 11th International symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED'17, pp. 531-536, 2017. (pdf)

  40. S. Mallek, I. Boukhris, Z. Elouedi, E. Lefevre, "Evidential k-NN for link prediction", 40th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2017, pp. 190-200, 2017. (pdf)

  41. A. Trabelsi, Z. Elouedi, E. Lefevre, "Ensemble enhanced evidential k-NN classifier through random subspaces", 40th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2017, pp. 212-221, 2017. (pdf)

  42. N. Helal, F. Pichon, D.Porumbel, D. Mercier, E. Lefevre, "A recourse approach for the capacitated vehicle routing problem with evidential demands", 40th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2017, pp. 190-200, 2017. (pdf)

  43. A. Ennaceur, Z. Elouedi, E. Lefevre, "Qualitative AHP method based on multiple criteria levels under group of experts", 28th International Conference on Database and Expert Systems Applications, DEXA'2017, pp. 441-449, 2017. (pdf)

  44. S. Mallek, I. Boukhris, Z. Elouedi, E. Lefevre, "Evidential link prediction in uncertain social networks based on node attributes”, 30th International Conference on Industrial, Engineering other Applications of Applied Intelligent Systems, IEA/AIE’2017, pp. 595-601, 2017. (pdf)

  45. A. Trabelsi, Z. Elouedi, E. Lefevre, "A novel k-NN approach for data withuncertain attribute values”, 30th International Conference on Industrial, Engineering other Applications of Applied Intelligent Systems, IEA/AIE’2017, pp. 160-170, 2017. (pdf)

  46. A. Trabelsi, Z. Elouedi, E. Lefevre, "Handling uncertain attribute values in decision tree classifier using the belief function theory", 17th International Conference on Artificial Intelligence :Methodology, Systems, Applications, AIMSA'2016, pp. 26-35, 2016. (pdf)

  47. P. Minary, F. Pichon, D. Mercier, E. Lefevre, B. Droit, "An evidential pixel-based face blurring approach", 4th International Conference on Belief Functions, BELIEF'2016, pp. 22-230, 2016. (pdf)

  48. N. Helal, F. Pichon, D. Porumbel,D. Mercier, E. Lefevre, "The capacitated vehicle routing problem with evidential demands: a belief-constrained programming approach", 4th International Conference on Belief Functions, BELIEF'2016, pp. 212-221, 2016. (pdf)

  49. S. Mallek, I. Boukhris, Z. Elouedi, E. Lefevre, "An evidential method for multi-relational link prediction in uncertain social network", 5th international symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM'2016, pp. 280-292, 2016 (pdf)

  50. S. Mallek, I. Boukhris, Z. Elouedi, E. Lefevre, "Evidential Missing Link Prediction in Uncertain Social Networks", 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2016, pp. 274-285, 2016. (pdf)

  51. A. Trabelsi, Z. Elouedi, E. Lefevre, "Feature Selection From Partially Uncertain Data Within the Belief Function Framework", 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2016, pp. 643-655, 2016. (pdf)

  52. P. Minary, B. Droit, F. Pichon, D.Mercier, E. Lefevre, "A fusion methos for blurring faces on platforms using belief functions", 11th World congress on Railway Research, WCRR'2016, 2016. (pdf)

  53. A. Ennaceur, Z. Elouedi, E. Lefevre, "Qualitative AHP Models under the Belief Function Framework", 15th International Conference on Intelligent Systems Design and Applications, ISDA'2015, pp. 128-133, 2015. (pdf)

  54. A. Trabelsi , Z. Elouedi, E. Lefevre, "Classifier fusion within the belief function framework using dependent combination rules", 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS'2015, pp. 133-138, 2015. (pdf).

  55. A. Trabelsi , Z. Elouedi, E. Lefevre, "Belief function combination:comparative study within the classifier fusion framework", 1st International Conference on Advanced Intelligent Systems and Informatics, AISI'2015, pp. 425-435, 2015. (pdf).

  56. S. Mallek, I. Boukhris, Z. Elouedi, E. Lefevre, "The Link Prediction Problem Under a Belief Function Framework", 27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'2015, pp. 1014-1020, 2015. (pdf).

  57. S. Mallek, I. Boukhris, Z. Elouedi, E. Lefevre, "Evidential Link Prediction Based on Group Information", 3rd International Conference on Mining Intelligence and Knowledge Exploration, MIKE'2015, pp. 482-492, 2015. (pdf).

  58. D. Mercier, F. Pichon, E. Lefevre, F. Delmotte, "Learning contextual discounting and contextual re-inforcement from labelled data", 13th European Conference on Symbolic and Quantitative Approachs to Reasoning with Uncertainty, ECSQARU'2015,pp. 472-481, 2015. (pdf).

  59. A. Ennaceur, Z. Elouedi, E. Lefevre, "Comparison of belief AHP models using a simulation study", 16th World Congress of the International Fuzzy Systems Association and the 9th Conference of the European Society for Fuzzy Logic and Technology, IFSA-EUSFLAT'2015, pp. 973-980, 2015. (pdf)

  60. A. Samet, E. Lefevre, S. Ben Yahia, "Belief function classification with conflict management: application on forest image", 10th International conference on Signal-Image Technology and internet-based systems, SITIS'2014, pp.14-20, 2014.(pdf)

  61. F. Pichon, D. Mercier, F. Delmotte, E. Lefevre, "Truthfulness in contextual information correction", 3rd International Conference on Belief Functions, BELIEF'2014, pp. 11-20, 2014. (pdf)

  62. A. Samet, E. Lefevre, S. Ben Yahia, "Evidential database: a new generalization of database?", 3rd International Conference on Belief Functions, BELIEF'2014, pp.105-114, 2014. (pdf)

  63. A. Ennaceur, Z. Elouedi, E. Lefevre, "Modeling qualitative assessments under the belief function framework", 3rd International Conference on Belief Functions, BELIEF'2014, pp.171-179, 2014. (pdf)

  64. M. Bou Farah, D. Mercier, F. Delmotte, E. Lefevre, S. Lagrue, "Methods handling accident and traffic jam information with belief function in VANETs", 3rd International Conference on Belief Functions, BELIEF'2014, pp. 124-133, 2014. (pdf)

  65. A. Samet, E. Lefevre, S. Ben Yahia, "Classification with evidential associative rules", 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2014, pp. 25-35, 2014. (pdf)

  66. A. Ennaceur, Z. Elouedi, E. Lefevre, "An extension of the analytic hierarchy process method under the belief function framework", 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2014, pp. 233-242, 2014. (pdf)

  67. J. Boubaker, Z. Elouedi, E. Lefevre, "Conflict management with dependent information sources in the belief function framework", 14th IEEE International Symposium on Computational Intelligence and Informatics, CINTI'2013, pp. 393-398, 2013. (pdf)

  68. A. Ennaceur, Z. Elouedi, E. Lefevre ,"Modeling expert preference using the qualitative Belief function framework", 13th International Conference Intelligent Systems Designand Applications, ISDA'2013, pp. 98-103, 2013. (pdf)

  69. A. Ennaceur, Z. Elouedi, E. Lefevre, "Multicriteria decision making based on qualitative assessments and relational belief", International Conference of the Italian Association for Artificial Intelligence, AIxIA'2013, LNCS 8249 Springer-Verlag, pp.48-59, 2013. (pdf)

  70. A.Samet, E. Lefevre, S. Ben Yahia, "Mining frequent itemsets in evidential database", 5th International conference on Knowledge and Systems Engineering, KSE'2013, Advances in Intelligent Systems and Computing, Vol. 245, pp.377-388, 2014. (pdf)

  71. S. Hachour, F. Delmotte, D.Mercier, E. Lefevre, "Multi-Sensor multi-target tracking with robust kinematic data based credal classification", 8th Workshop: Sensor Data Fusion : Trends,Solutions, Application, 2013. (pdf)

  72. M. Bou Farah, D. Mercier, E. Lefevre, F. Delmotte, "Exchanging dynamic and imprecise information in V2V networks with belief functions", 16th International IEEE Conference on Intelligent Transport Systems, ITSC'2013, La Hague, Pays-Bas, pp. 967-972, 2013. (pdf)

  73. A. Samet, I. Hammami, E. Lefevre, A. Hamouda, "Generic discounting evaluation approach for urban image classification", 3rd international symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM'2013, LNCS 8032 Springer-Verlag, pp. 79-90, 2013. (pdf)

  74. A. Samet, E. Lefevre, S. Ben Yahia, "Reliability estimation with extrinsic and intrinsic measure in belief funtion theory", 5th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO'2013, Avril 2013. (pdf)

  75. A. Ennaceur, Z. Elouedi, E. Lefevre, "Introducing incomparability in modeling qualitative belief functions", 9th International Conference on Modeling Decisions for Artificial Intelligence, MDAI'2012, Springer-Verlag, pp. 382-393, 2012. (pdf)

  76. R. Pusca, C. Demian, D. Mercier, E. Lefevre, R. Romary, "An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functions", 38th International Conference of the IEEE Industrial Electronics Society, IECON'2012, pp. 5078-5083, 2012. (pdf)

  77. A. Ennaceur, Z. Elouedi, E. Lefevre, "Reasoning under Uncertainty in the AHP Method Using the Belief Function Theory", 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2012, Springer-Verlag, pp. 373-382, 2012.(pdf)

  78. A. Ennaceur, Z. Elouedi, E. Lefevre, "Handling partial preferences in the belief AHP method: Application to life cycle assessment", International Conference of the Italian Association for Artificial Intelligence, AIxIA'2011, LNCS 6934 Springer-Verlag, pp. 396-401, 2011. (pdf)

  79. E. Lefevre, Z. Elouedi, D. Mercier, "Towards an alarm for opposition conflict in a conjunctive combination of belief functions", 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2011, LNAI 6717, pp. 314–325, Juin 2011. (pdf)

  80. M. Bou Farah, D. Mercier, E. Lefevre, F. Delmotte, "Towards a robust exchange of imperfect information in Inter-vehicle ad-hoc networks using belief functions", IEEE Intelligent Vehicles Symposium IV'2011, Baden-Baden, Allemagne, pp. 436-441, 2011. (pdf)

  81. A. Samet, Z. Ben Dhiaf, A. Hamouda, E. Lefevre, "Classification of high-resolution remote sensing image by adapting the distance belief function estimation model", IEEE International Conference on Communications, Computing and Control Applications, CCCA'2011, Hammamet, Tunisie, Mars 2011. (pdf)

  82. Z. Elouedi, E. Lefevre, D. Mercier, "Discountings of a Belief Function using a Confusion Matrix", 22th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'2010, Arras, France, October 27-29, Vol. 1, pp.287-294, 2010. (pdf)

  83. A. Veremme, E. Lefevre, G. Morvan, D. Jolly, "Application of the belief function theory to validate multi-agent based simulations", 1st Workshop on Belief Functions, Brest, France, paper 123, 2010. (pdf)

  84. A. Veremme, D. Dupont, E. Lefevre, D. Mercier, "Belief assignment on compound hypotheses within the framework of the Transferable Belief Model", 12th International Conference on Information Fusion, FUSION'2009, Seattle, Washington, pp.498-505, 2009 (pdf)

  85. D. Mercier, E. Lefevre, D. Jolly, "Object Association in the TBM framework, Application to vehicle driving aid", 6th International Symposium on Imprecise Probability: Theories and Applications, ISIPTA'09, Durham, United Kingdom, pp. 317-326, 2009. (pdf)

  86. F. Perisse, E. Lefevre, D. Mercier, D. Roger, E. Mateo, "Diagnostic based on high Frequency Resonances and Information Fusion", IEEE International Symposium on Electrical Insulation, ISEI'2008, Vancouver, Canada, pp. 628-631, 2008.(pdf)

  87. N. E. El Faouzi, E. Lefevre, "Classifiers and Distance-Based Evidential Fusion for Road Travel Time Estimation." Multisource, Multisensor Information Fusion Conference, Orlando, USA,12-16 April 2006, vol. 6242, n°10, 2006. (pdf)

  88. Y. Lemeret, E. Lefevre et D. Jolly, "An association algorithm for tracking multiple moving objects", IEEE Intelligent Transportation Systems Conference, ITSC'2006, Septembre 2006, Canada, pp. 1334-1339, 2006. (pdf)

  89. Y. Lemeret, E. Lefevre, D. Jolly, "Tracking cars and prediction of their trajectories ", International Conference on Machine Intelligence, IEEE Sponsored. Tozeur, Tunisie, ACIDCA-ICMI'2005, 2005.

  90. Y. Lemeret, E. Lefevre, D. Jolly, "Detection and tracking of moving objects", IEEE sponsored international conference on Artificial Intelligence Systems, 3-11 September 2005, Divnomorskoye, Russia.

  91. Y. Lemeret, E. Lefevre, D. Jolly, "Simulator of obstacle detection and tracking", 5th EUROSIM Congress on Modelling and Simulation, EUROSIM'04, sur CD-ROM, 2004. (pdf)

  92. E. Lefevre, P. Vannoorenberghe, O. Colot, "Combination rules for belief functions", 10th International Symposium on Applied Stochastic Models and Data Analysis, ASMDA'2001, pp. 12-15, 2001. (pdf)

  93. P. Vannoorenberghe, E. Lefevre, O. Colot et D. de Brucq, "Cadre générique pour la résolution du conflit lors de la combinaison de structure de croyance", Fusion 2000 : Workshop International sur l'agrégation et la fusion de données, 2000.

  94. E. Lefevre, O. Colot, P. Vannoorenberghe et D. de Brucq, "A generic framework for resolving the conflict in the combination of belief structures", 3rd International Conference on Information Fusion, FUSION'2000, pp. MOD4 11-18, 2000. (pdf)

  95. E. Lefevre, P. Vannoorenberghe, O. Colot, "Evidence theory and color image segmentation", 1st International Conference onColor in Graphics and Image Processing, CGIP'2000, pp. 164-169, 2000. (pdf)

  96. E. Lefevre, O. Colot, P. Vannoorenberghe et D. de Brucq, "Knowledge modeling methods in the framework of belief theory", IEEE International Conference on Systems, Man and Cybernetics, SMC'2000, pp. 2806-2811, 2000. (pdf)

  97. E. Lefevre, O. Colot, P. Vannoorenberghe, "A classification method based on the Dempste-Shafer's theory and information criteria.", 2nd International Conference on Information Fusion, FUSION'99, pp 1179-1184, 1999. (pdf)

  98. E. Lefevre, O. Colot, P. Vannoorenberghe, "Using information criteria in Dempster-Shafer's basic belief assignment", 8th International Conference on Fuzzy Systems, FUZZ-IEEE'99, pp. 173-178,1999. (pdf)

  99. E.  Lefevre, O. Colot, P. Vannoorenberghe, "Basic belief assignment in the framework of information theory", 7th European Congress on Intelligent Technique and Soft Computing, EUFIT'99, 1999. (pdf)

 

French-speaking Conference Papers (37):

  1. M. Talbaoui, Y. Azzoug, S. Ramel, R. Pusca, E. Lefevre, R. Romary, "Coefficient de corrélation et champ magnétique pour la détection de court-circuit entre spires dans les machines synchrones", Conférence des Jeunes Chercheurs en Génie Electrique, JCGE'2024, 2024. (pdf)

  2. A. Vu, S. Afifi, E. Lefevre, F. Pichon, "Une approche généralisée du regret minimax pour des problèmes d’optimisation sous incertitude sévère avec objectifs linéaires", 33e Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2024, pp. 47-53, 2024. (pdf)

  3. A. Vu, S. Afifi, E. Lefevre, F. Pichon, "Problèmes d'optimisation avec un objectif linéaire évidentiel", 25e congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF'2024, Amiens, France, 4-7 mars 2024. (pdf)

  4. A. Vu, S. Afifi, E. Lefevre, F. Pichon, "Modélisation et résolution de problèmes d'optimisation avec un objectif évidentiel", 32e Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2023, pp. 189-196, 2023. (pdf)

  5. A. Vu, S. Afifi, E. Lefevre, F. Pichon, "Problème du plus court chemin avec poids évidentiels", 24e congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF'2023, Rennes, France, 20-23 février 2023. (pdf)

  6. A. Vu, S. Afifi, E. Lefevre, F. Pichon, "Problème du plus court chemin avec poids évidentiels : Modélisation et résolution", 31e Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2022, pp. 223-230, 2022. (pdf)

  7. F. Grina, Z. Elouedi, E. Lefevre, "Déséquilibre multi-classes : une approche évidentielle de rééchantillonnage hybride", 31e Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2022, pp. 255-262, 2022. (pdf)

  8. T. Tedjini, S. Afifi, F. Pichon, E. Lefevre, "Un modèle de programmation par recours pour le VRPTW avec temps de service et de trajet évidentiels", 30e Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2021, pp. 225-232, 2021. (pdf)

  9. T. Tedjini, S. Afifi, F. Pichon, E. Lefevre, "Vers une généralisation de l'approximation des fonctions de croyance", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2020, pp. 199-206, 2020. (pdf)

  10. T. Tedjini, S. Afifi, F. Pichon, E. Lefevre, "Un modèle à base de contraintes en fonction de coryance pour le problème de tournées de véhicules avec fenêtre de temps", 21ème congrès ROADEF de la Société Française de Recherche Opérationnelle et Aide à la Décision, 2020. (pdf).

  11. T. Tedjini, S. Afifi, F. Pichon, E. Lefevre, "Un modèle Belief-constrained programming pour le VRPTW avec temps de service et de trajet crédibilistes", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2019, pp. 217-224, 2019. (pdf)

  12. M. Ben Khalifa, Z. Elouedi, E. Lefèvre, "Détection des faux avis dans un cadre évidentiel", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2018, pp.135-142. 2018. (pdf).

  13. S. Ben Ayed, Z. Elouedi, E. Lefevre, "La maintenance des bases de cas dans un cadre évidentiel", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2017, pp. 47-54, 2017. (pdf)

  14. N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefevre, "Le problème de tournées de véhicules avec des demandes évidentielles", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2017, pp. 15-22, 2017. (pdf)

  15. P.Minary, F. Pichon, D. Mercier, E. Lefevre, B. Droit, "Calibration évidentielle conjointe de classifieurs SVM binaires fondée sur la régression logistique", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2017, pp. 39-46, 2017. (pdf)

  16. A. Trabelsi, Z. Elouedi, E. Lefevre, "Nouvelle méthode d'arbre de décision pour le traitement des données partiellement incertaines", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2016, pp. 57-64, 2016. (pdf)

  17. N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefevre, "Optimisation discrète sous incertitudes modélisées par des fonctionsde croyance", 17ème congrès ROADEF de la Société Française de Recherche Opérationnelle et Aide à la Décision, 2016. (pdf)

  18. S. Mallek, I. Boukhris, Z. Elouedi, E. Lefevre, "Prédiction des liens dans les réseaux sociaux dans le cadre de la thèorie des fonctions de croyance", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2015, pp. 97-104, 2015. (pdf)

  19. E. Lefevre, F. Pichon, D. Mercier, Z. Elouedi, B. Quost, "Estimation de sincérité et pertinence à partir de matrices de confusion pour la correction defonctions de croyance", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2014, pp. 115-122, 2014. (pdf)

  20. A.. Ennaceur, Z. Elouedi, E. Lefevre, "Traitement de l'incertitude à l'aide des relations de préférence dans une méthode de décision multicritères", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2013, pp. 137-144, 2013. (pdf)

  21. S. Hachour, F. Delmotte, D. Mercier, E. Lefevre, "Fusion d'informations pour la classification multi-capteurs, multi-cibles", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2013, pp. 111-118, 2013. (pdf)

  22. S. Hachour, F. Delmotte, E. Lefevre, D. Mercier, "Tracking and identification of multiple targets", 7éme Workshop Interdisciplinaire sur la Sécurité Globale, WISG'2013, papier n°13. (pdf)

  23. S. Hachour, F. Delmotte, E. Lefevre, D. Mercier, J. Klein, J-M. Vannobel, "Classification crédale multi-cibles", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2012, pp. 201-208, 2012. (pdf)

  24. M. Bou Farah, D. Mercier, E. Lefevre, F. Delmotte, "Un processus V2V d'échanges et de gestion d'informations imparfaites basé sur des fonctions de croyance", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2012, pp.71-78, 2012. (pdf)

  25. D. Mercier, E. Lefevre, R. Pusca, C. Demian, R. Romary, "Etude préliminaire de l'application de la fusion d'informations pour le diagnostic de défauts de bobinages demachines à courant alternatif", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2012, pp. 87-94, 2012. (pdf)

  26. D. Mercier, Z. Elouedi, E. Lefevre, "Sur l'ajustement d'une fonction de croyance par une matrice de confusion", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2010, Lannion, France, pp. 277-283, Novembre 18-19,2010. (pdf)

  27. A. Veremme, E. Lefevre, D. Jolly, "Estimation de fonctions de masse de croyance, utilisation et confrontation dans le cadre d'expertises en Entomologie Médico-Légale", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2008, Lens, France, pp. 242-249, 2008. (pdf)

  28. G. Morvan, A. Veremme, D. Mercier, E.Lefevre, "Application du Modèle de croyances transférables dans le cadre d'expertises en entomologie Médico-Légale", Workshop Fouille de données complexes dans un processus d'extraction de connaissances, 5ème journée d'Extraction et Gestion de connaissances, EGC'2008, pp 49-60,2008. (pdf)

  29. E. Lefevre, N. E. El Faouzi, "Estimation et fusion des temps de parcours routierspar la théorie de l'évidence", Workshop Fouilles de données complexesdans un processus d'extraction de connaissances, 6ème journee d'Extraction et Gestion des Connaissances, EGC'2006, CD-ROM, 2006, (pdf).

  30. Y. Lemeret, E. Lefevre, D. Jolly, "Association d'objet", Journée d'étude "La théorie desfonctions de croyance : de nouveaux horizons pour l'aide à ladécision", 8-9 décembre 2005, Paris, France, SEE, 2005.

  31. Y. Lemeret, E. Lefevre, D. Jolly, "Fusion de données provenant d'un laser et d'un radar enutilisant la théorie de l'évidence", 2nd Manifestation de JEunes Chercheurs STIC, 2004, sur CD-ROM, 2004. (pdf)

  32. A. Ben Aissa, N. E. El Faouzi, E. Lefevre, "Classification multisource via la théorie des croyances", Workshop Fouilles de données complexes dans un processus d'extraction de connaissances, 4ème journéee d'Extraction et Gestion des Connaissances, EGC'2004, pp.31-44, 2004. (pdf)

  33. E. Lefevre, J. P. Mamata, D. Jolly, "Classification par la théorie de l'évidence pour la gestion de tournée de véhicules", Reconnaissance des Formes et Intelligence Artificielle, RFIA'2004, sur CD-ROM, 2004. (pdf)

  34. P. Vannoorenberghe, E. Lefevre, O. Colot, "Traitement d'images et Théorie des fonctions de croyance", Rencontres Francophones sur la Logique Floue et ses Application, LFA'2003, pp. 287-294, 2003. (pdf)

  35. E. Lefevre, P. Vannoorenberghe, O. Colot et T. Denoeux, "Combinaison d'évidence pour la discrimination en présence d'étiquetage imprécis", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2001, pp.65-72, 2001. (pdf)

  36. P. Vannoorenberghe, E. Lefevre, O. Colot, "Application de la théorie des fonctions de croyance à la surveillance de l'environnement", Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2000, pp. 229-236, 2000. (pdf)

  37. P. Vannoorenberghe, E. Lefevre, O. Colot, "Fonction de croyances appliquées à la surveillance de la pollution atmosphérique", Congrès ATMO'2000. (pdf)
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