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Number of documents

46

Eric LEFEVRE


Journal articles30 documents

  • Safa Ben Ayed, Zied Elouedi, Eric Lefevre. CIMMEP: constrained integrated method for CBR maintenance based on evidential policies. Applied Intelligence, Springer Verlag (Germany), In press, ⟨10.1007/s10489-020-02159-4⟩. ⟨hal-03354069⟩
  • Miftah Irhoumah, Rémus Pusca, Eric Lefevre, David Mercier, Raphaël Romary. Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines. Electronics, MDPI, 2021, 10 (18), pp.2313. ⟨10.3390/electronics10182313⟩. ⟨hal-03522199⟩
  • Safa Ben Ayed, Zied Elouedi, Eric Lefevre. An evidential integrated method for maintaining case base and vocabulary containers within CBR systems. Information Sciences, Elsevier, 2020, 529, pp.214-229. ⟨10.1016/j.ins.2019.11.009⟩. ⟨hal-03354051⟩
  • Miftah Irhoumah, Rémus Pusca, Eric Lefevre, David Mercier, Raphaël Romary. Detection of the Stator Winding Inter-Turn Faults in Induction and Synchronous Machines through the Correlation Between Harmonics of the Voltage of Two Magnetic Flux Sensors. IEEE Transactions on Industry Applications, Institute of Electrical and Electronics Engineers, 2019, 55 (3), ⟨10.1109/TIA.2019.2899560⟩. ⟨hal-03218854⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. Decision tree classifiers for evidential attribute values and class labels. Fuzzy Sets and Systems, Elsevier, 2019, 366, pp.46-62. ⟨10.1016/j.fss.2018.11.006⟩. ⟨hal-03354080⟩
  • Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre. Evidential Link Prediction in Social Networks based on Structural and Social Information. Journal of computational science, Elsevier, 2019, 30, pp.98-107. ⟨10.1016/j.jocs.2018.11.009⟩. ⟨hal-03354086⟩
  • Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit. Evidential joint calibration of binary SVM classifiers. Soft Computing, Springer Verlag, 2019. ⟨hal-03217353⟩
  • Allel Hadjali, Eric Lefevre. SI on Fuzzy Logic and Its Applications (LFA 2015). Fuzzy Sets and Systems, Elsevier, 2018, 343, pp.1--2. ⟨10.1016/j.fss.2018.03.003⟩. ⟨hal-03204300⟩
  • Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefevre. The capacitated vehicle routing problem with evidential demands. International Journal of Approximate Reasoning, Elsevier, 2018, 95, pp.124-151. ⟨10.1016/j.ijar.2018.02.003⟩. ⟨hal-02542697⟩
  • Miftah Irhoumah, Rémus Pusca, Eric Lefevre, David Mercier, Raphaël Romary, et al.. Information Fusion With Belief Functions for Detection of Interturn Short-Circuit Faults in Electrical Machines Using External Flux Sensors. IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2017, 65 (3), pp.2642-2652. ⟨10.1109/TIE.2017.2745408⟩. ⟨hal-03354093⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. Comparing dependent combination rules under the belief classifier fusion framework. Soft Computing, Springer Verlag, 2017, 21 (23), pp.6919-6932. ⟨10.1007/s00500-016-2402-9⟩. ⟨hal-03354098⟩
  • Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit. Face pixel detection using evidential calibration and fusion. International Journal of Approximate Reasoning, Elsevier, 2017. ⟨hal-03218828⟩
  • Frédéric Pichon, David Mercier, Eric Lefevre, François Delmotte. Proposition and learning of some belief function contextual correction mechanisms *. International Journal of Approximate Reasoning, Elsevier, 2016, 72, pp.4-42. ⟨10.1016/j.ijar.2015.12.012⟩. ⟨hal-03354123⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. BELIEF AHP METHOD: AHP METHOD WITH THE BELIEF FUNCTION FRAMEWORK. International Journal of Information Technology and Decision Making, World Scientific Publishing, 2016, 15 (03), pp.553-573. ⟨10.1142/S0219622016500139⟩. ⟨hal-03354127⟩
  • Ahmed Samet, Eric Lefevre, Sadok Ben Yahia. Evidential data mining: precise support and confidence. Journal of Intelligent Information Systems, Springer Verlag, 2016, 47 (1), pp.135-163. ⟨10.1007/s10844-016-0396-5⟩. ⟨hal-03354130⟩
  • David Mercier, Frédéric Pichon, Éric Lefèvre. Corrigendum to “Belief functions contextual discounting and canonical decompositions” [International Journal of Approximate Reasoning 53 (2012) 146–158]. International Journal of Approximate Reasoning, Elsevier, 2016, 70, pp.137-139. ⟨10.1016/j.ijar.2015.12.003⟩. ⟨hal-03520235⟩
  • Ahmed Samet, Eric Lefevre, Imen Hammami, Sadok Yahia. Reliability estimation measure: Generic Discounting Approach. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2015, 29 (07), pp.1559011. ⟨10.1142/S0218001415590119⟩. ⟨hal-03354137⟩
  • Samir Hachour, François Delmotte, David Mercier, Eric Lefevre. Multi-target tracking with credal classification and kinematic data. Information Fusion, Elsevier, 2014, 20, pp.174-188. ⟨10.1016/j.inffus.2014.01.007⟩. ⟨hal-03354161⟩
  • Mira Bou Farah, David Mercier, Eric Lefevre, François 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 - annales des télécommunications, Springer, 2014, 69 (3-4), pp.185-199. ⟨10.1007/s12243-013-0410-7⟩. ⟨hal-03354145⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Multi-Criteria Decision Making Method with Belief Preference Relations. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishing, 2014, 22 (04), pp.573-590. ⟨10.1142/S0218488514500287⟩. ⟨hal-03354151⟩
  • Ahmed Samet, Eric Lefevre, Sadok 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, World Scientific Publishing, 2014, 22 (04), pp.531-551. ⟨10.1142/S0218488514500263⟩. ⟨hal-03354150⟩
  • Eric Lefevre, Zied Elouedi. How to preserve the conflict as an alarm in the combination of belief functions?. Decision Support Systems, Elsevier, 2013, 56, pp.326-333. ⟨10.1016/j.dss.2013.06.012⟩. ⟨hal-03354165⟩
  • Alexandre Veremme, Éric Lefevre, Gildas Morvan, Daniel Dupont, Daniel Jolly. Evidential calibration process of multi-agent based system: An application to forensic entomology. Expert Systems with Applications, Elsevier, 2012, 39 (3), pp.2361-2374. ⟨10.1016/j.eswa.2011.08.075⟩. ⟨hal-03331898⟩
  • David Mercier, Eric Lefevre, François Delmotte. Belief Functions Contextual Discounting and Canonical Decompositions. International Journal of Approximate Reasoning, Elsevier, 2012, 53 (2), pp.146-158. ⟨10.1016/j.ijar.2011.06.005⟩. ⟨hal-03354166⟩
  • David Mercier, Eric Lefevre, Daniel Jolly. Object Association with Belief Functions, an application with vehicles. Information Sciences, Elsevier, 2011, 181 (24), pp.5485-5500. ⟨10.1016/j.ins.2011.07.045⟩. ⟨hal-03354177⟩
  • A Ben-Aissa, Ne El-Faouzi, E Lefevre. Classification multisource via la théorie des fonctions de croyance : application à l'estimation du temps de parcours. Revue de Statistique Appliquée, Société française de statistique, 2009, 17p. ⟨hal-00951859⟩
  • Frédéric Perisse, Mercier David, Eric Lefevre, D. Roger. Robust Diagnostics of Stator Insulation Based on High Frequency Resonances Measurements. IEEE Transactions on Dielectrics and Electrical Insulation, Institute of Electrical and Electronics Engineers, 2009, Volume: 16 (Issue: 5), pp.1496-1502. ⟨10.1109/TDEI.2009.5293965⟩. ⟨hal-00429295⟩
  • Yann Lemeret, Eric Lefevre, Daniel Jolly. Improvement of an association algorithm for obstacle tracking. Information Fusion, Elsevier, 2008, 9 (2), pp.234-245. ⟨10.1016/j.inffus.2006.05.005⟩. ⟨hal-03354183⟩
  • Eric Lefevre, Olivier Colot, Patrick Vannoorenberghe. Reply to the Comments of R. Haenni on the paper "Belief functions combination and conflict management". Information Fusion, Elsevier, 2003, 4 (1), pp.63-65. ⟨10.1016/S1566-2535(02)00103-3⟩. ⟨hal-03354187⟩
  • Eric Lefevre, Olivier Colot, Patrick Vannoorenberghe. Belief function combination and conflict management. Information Fusion, Elsevier, 2002, 3 (2), pp.149-162. ⟨10.1016/S1566-2535(02)00053-2⟩. ⟨hal-03354198⟩

Conference papers14 documents

  • Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric 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, Sep 2021, Prague, Czech Republic. pp.381-395. ⟨hal-03521749⟩
  • Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric 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, Oct 2021, Paris, France. pp.225-232. ⟨hal-03521737⟩
  • Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefevre. Un modèle Belief-Constrained Programming pour le VRPTW avec temps de service et de trajet crédibilistes. 28e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2019, Nov 2019, Alès, France. pp.217-224. ⟨hal-03521877⟩
  • Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefevre. A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands. 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2017, Jul 2017, Lugano, Switzerland. ⟨hal-03218837⟩
  • Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Éric Lefèvre. The Capacitated Vehicle Routing Problem with Evidential Demands: a Belief-Constrained Programming Approach. BELIEF'2016, Sep 2016, Prague, Czech Republic. pp.212-221, ⟨10.1007/978-3-319-45559-4_22⟩. ⟨hal-03337226⟩
  • Mira Bou Farah, David Mercier, Eric Lefevre, François Delmotte. Exchanging dynamic and imprecise information in V2V networks with belief functions. 2013 16th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2013), Oct 2013, The Hague, Netherlands. pp.967-972, ⟨10.1109/ITSC.2013.6728357⟩. ⟨hal-03522228⟩
  • Samir Hachour, François Delmotte, David Mercier, Eric Lefevre. Multi-sensor multi-target tracking with robust kinematic data based credal classification. 2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), Oct 2013, Bonn, Germany. pp.1-6, ⟨10.1109/SDF.2013.6698250⟩. ⟨hal-03522227⟩
  • 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 - 38th Annual Conference of IEEE Industrial Electronics, Oct 2012, Montreal, Canada. pp.5096-5101, ⟨10.1109/IECON.2012.6389556⟩. ⟨hal-03522225⟩
  • Samir Hachour, François Delmotte, Eric Lefevre, David Mercier, John Klein, et al.. Classification crédale multi-cibles - Multi-target evidential classification. Rencontres Francophones sur la Logique Floue et ses Applications, 2012, Compiègne, France. pp.201-208. ⟨hal-00767682⟩
  • Mira Bou Farah, David Mercier, Eric Lefevre, François Delmotte. Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions. 2011 IEEE Intelligent Vehicles Symposium (IV), Jun 2011, Baden-Baden, Germany. pp.436-441, ⟨10.1109/IVS.2011.5940448⟩. ⟨hal-03522222⟩
  • Zied Elouedi, Eric Lefevre, David Mercier. Discountings of a Belief Function Using a Confusion Matrix. 2010 22nd International Conference on Tools with Artificial Intelligence (ICTAI), Oct 2010, Arras, France. pp.287-294, ⟨10.1109/ICTAI.2010.49⟩. ⟨hal-03522217⟩
  • Alexandre Veremme, Eric Lefevre, Gildas Morvan, Daniel Jolly. Application of the belief function theory to validate multi-agent based simulations. First int. workshop on the theory of belief functions, Apr 2010, Brest, France. ⟨hal-03356620⟩
  • Gildas Morvan, Alexandre Veremme, Eric Lefevre, David Mercier. Application du Modèle des Croyances Transférables dans le cadre d'expertises en Entomologie Médico-Légale. 5ème Atelier "Fouille de données complexes dans un processus d’extraction des connaissances", EGC 2008, Jan 2008, Sophia Antipolis, France. ⟨hal-03356549⟩
  • F. Perisse, Éric Lefevre, David Mercier, D. Roger, D. Mateo. Diagnostic Based on High Frequency Resonances and Information Fusion. ISEI 2008 - International Symposium on Electrical Insulation, Jun 2008, vancouver, Canada. ⟨hal-00546405⟩

Book sections1 document

  • Eric Lefevre, Zied Elouedi, David Mercier. Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions. Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 6717, Springer Berlin Heidelberg, pp.314-325, 2011, Lecture Notes in Computer Science, ⟨10.1007/978-3-642-22152-1_27⟩. ⟨hal-03522221⟩

Directions of work or proceedings1 document

  • Thierry Denœux, Eric Lefevre, Zhunga Liu, Frédéric Pichon. Belief Functions: Theory and Applications. 6th International Conference (BELIEF 2021), Oct 2021, Shanghai, China. 12915, Springer International Publishing, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-88601-1⟩. ⟨hal-03520236⟩