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Number of documents

107

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), 2022, pp.6939-6954. ⟨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⟩
  • Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit. Evidential joint calibration of binary SVM classifiers. Soft Computing, Springer Verlag, 2019. ⟨hal-03217353⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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, 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⟩
  • 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, 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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 papers76 documents

  • Malika Khalifa, Zied Elouedi, Eric Lefevre. Evidential Spammers and Group Spammers Detection. ISDA'2021, Dec 2021, New-York, United States. pp.255-265, ⟨10.1007/978-3-030-96308-8_23⟩. ⟨hal-03643790⟩
  • Fares Grina, Zied Elouedi, Eric Lefevre. Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory. ECSQARU 2021, Sep 2021, Prague, Czech Republic. pp.342-353, ⟨10.1007/978-3-030-86772-0_25⟩. ⟨hal-03643751⟩
  • Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefèvre. An extension of specificity-based approximations to other belief function relations. 6th International Conference on Belief Functions, Sep 2021, Shanghai, China. pp.224-233. ⟨hal-03520319⟩
  • 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. 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⟩
  • Safa Ben Ayed, Zied Elouedi, Eric Lefevre. Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means. 2020 International Multi-Conference on: “Organization of Knowledge and Advanced Technologies” (OCTA), Feb 2020, Tunis, France. pp.1-10, ⟨10.1109/OCTA49274.2020.9151771⟩. ⟨hal-03643797⟩
  • Malika Khalifa, Zied Elouedi, Eric Lefevre. Evidential Group Spammers Detection. IPMU'2020, Jun 2020, Lisbon, Portugal. pp.341-353, ⟨10.1007/978-3-030-50143-3_26⟩. ⟨hal-03643793⟩
  • Malika Ben Khalifa, Zied Elouedi, Eric Lefevre. An Evidential Spammer Detection based on the Suspicious Behaviors' Indicators. 2020 International Multi-Conference on: “Organization of Knowledge and Advanced Technologies” (OCTA), Feb 2020, Tunis, France. pp.1-8, ⟨10.1109/OCTA49274.2020.9151805⟩. ⟨hal-03643810⟩
  • Grina Fares, Zied Elouedi, Eric Lefevre. A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory. IDEAL'2020, Nov 2020, Guimaraes, Portugal. pp.3-11, ⟨10.1007/978-3-030-62365-4_1⟩. ⟨hal-03643792⟩
  • Malek Bessrour, Zied Elouedi, Eric Lefevre. E-DBSCAN: An evidential version of the DBSCAN method. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Dec 2020, Canberra, Australia. pp.3073-3080, ⟨10.1109/SSCI47803.2020.9308578⟩. ⟨hal-03643811⟩
  • Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefevre. Vers une généralisation de l'approximation des fonctions de croyance. 29e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2020, Oct 2020, Sète, France. pp.199-206. ⟨hal-03521875⟩
  • Safa Ben Ayed, Zied Elouedi, Eric Lefevre. Toward the evaluation of Case Base Maintenance policies under the belief function theory. ECSQARU'2019, Sep 2019, Belgrade, Serbia. pp.113-124, ⟨10.1007/978-3-030-29765-7_10⟩. ⟨hal-03643813⟩
  • Malika Khalifa, Zied Elouedi, Eric Lefevre. Multiple criteria fake reviews detection based on spammers' indicators within the belief function theory. International Conference on Hybrid Intelligent Systems, HIS'2019, Dec 2019, Bhopal, India. pp.145-155, ⟨10.1007/978-3-030-49336-3_15⟩. ⟨hal-03643814⟩
  • Malika Khalifa, Zied Elouedi, Eric Lefevre. Spammers detection based on reviewers' behaviors under belief function theory. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE'2019, Jul 2019, Graz, Austria. pp.642-653, ⟨10.1007/978-3-030-22999-3_55⟩. ⟨hal-03643820⟩
  • Safa Ayed, Zied Elouedi, Eric Lefevre. CEVM: Constrained Evidential Vocabulary Maintenance policy for CBR systems. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE'2019, Jul 2019, Graz, Austria. pp.579-592, ⟨10.1007/978-3-030-22999-3_50⟩. ⟨hal-03643818⟩
  • 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⟩
  • Malika Khalifa, Zied Elouedi, Eric Lefevre. Fake reviews detection under belief function framework. International Conference on Advanced Intelligent Systems and Informatics, AISI'2018, Sep 2018, Caire, Egypt. pp.395-404, ⟨10.1007/978-3-319-99010-1_36⟩. ⟨hal-03643823⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Analytical Network Process Method Under the Belief Function Framework. International Conference of the Italian Association for Artificial Intelligence, AI*IA'2018, Nov 2018, Trento, Italy. pp.553-563, ⟨10.1007/978-3-030-03840-3_41⟩. ⟨hal-03643822⟩
  • Safa Ayed, Zied Elouedi, Eric Lefevre. CEC-Model: A new competence model for CBR systems based on the belief function theory. International Conference on Case-Based Reasoning, ICCBR'2018, Jul 2018, Stockholm, Sweden. pp.28-44, ⟨10.1007/978-3-030-01081-2_3⟩. ⟨hal-03643826⟩
  • Safa Ayed, Zied Elouedi, Eric Lefevre. DETD: Dynamic policy for case base maintenance based on EK-NNclus algorithm and case Types Detection. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2018, Jun 2018, Cadiz, Spain. pp.370-382, ⟨10.1007/978-3-319-91473-2_32⟩. ⟨hal-03643827⟩
  • Malika Khalifa, Zied Elouedi, Eric Lefevre. Multiple criteria fake reviews detection using belief function theory. International Conference on Intelligent Systems Design and Applications, ISDA'2018, Dec 2018, Vellore, India. pp.315-324, ⟨10.1007/978-3-030-16657-1_29⟩. ⟨hal-03643831⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. Ensemble Enhanced Evidential k-NN classifier through rough set reducts. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2018, Jun 2018, cadiz, Spain. pp.383-394, ⟨10.1007/978-3-319-91473-2_33⟩. ⟨hal-03643829⟩
  • Safa Ayed, Zied Elouedi, Eric Lefevre. Exploiting domain-experts knowledge within an evidential process for case base maintenance. International Conference on Belief Functions, BELIEF'2018, Sep 2018, Compiègne, France. pp.22-30, ⟨10.1007/978-3-319-99383-6_4⟩. ⟨hal-03643824⟩
  • Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre. Evidential Multi-relational Link Prediction Based on Social Content. International Symposium on Methodologies for Intelligent Systems, ISMIS'2018, Oct 2018, Limassol, Cyprus. pp.333-343, ⟨10.1007/978-3-030-01851-1_32⟩. ⟨hal-03643833⟩
  • Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre. Evidential k-NN for Link Prediction. European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, ECSQARU'2017, Jul 2017, Lugano, Switzerland. pp.201-211, ⟨10.1007/978-3-319-61581-3_19⟩. ⟨hal-03649415⟩
  • Safa Ayed, Zied Elouedi, Eric Lefevre. ECTD: Evidential Clustering and case Types Detection for case base maintenance. 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), Oct 2017, Hammamet, France. pp.1462-1469, ⟨10.1109/AICCSA.2017.163⟩. ⟨hal-03649403⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. A novel k-NN approach for data with uncertain attribute values. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE'2017, Jun 2017, Arras, France. pp.160-170, ⟨10.1007/978-3-319-60042-0_19⟩. ⟨hal-03649432⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts. International Conference on Database and Expert Systems Applications, DEXA'2017, Aug 2017, Lyon, France. pp.441-449, ⟨10.1007/978-3-319-64471-4_35⟩. ⟨hal-03649409⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. Ensemble Enhanced Evidential k-NN classifier through random subspaces. European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, ECSQARU'2017, Jul 2017, Lugano, Switzerland. pp.212-221, ⟨10.1007/978-3-319-61581-3_20⟩. ⟨hal-03649422⟩
  • Miftah Irhoumah, David Mercier, Remus Pusca, Eric Lefevre, Raphael Romary. Information fusion of external flux sensors for detection of inter-turn short circuit faults in induction machines. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Oct 2017, Beijing, France. pp.8076-8081, ⟨10.1109/IECON.2017.8217417⟩. ⟨hal-03649445⟩
  • Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre. Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE'2017, Jun 2017, Arras, France. pp.595-601, ⟨10.1007/978-3-319-60042-0_65⟩. ⟨hal-03649435⟩
  • Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Éric Lefèvre. Le problème de tournées de véhicules avec des demandes évidentielles. 26e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2017, Oct 2017, Amiens, France. pp.15-22. ⟨hal-03521913⟩
  • Pauline Minary, Frédéric Pichon, David Mercier, Éric Lefèvre, Benjamin Droit. Calibration évidentielle conjointe de classifieurs SVM binaires fondée sur la régression logistique. 26e Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2017, Oct 2017, Amiens, France. ⟨hal-03521909⟩
  • 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⟩
  • Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit. Evidential joint calibration of binary SVM classifiers using logistic regression. International Conference on Scalable Uncertainty Management, SUM 2017, Oct 2017, Granada, Spain. pp.405-411. ⟨hal-03521917⟩
  • Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre. Evidential Missing Link Prediction in Uncertain Social Networks. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'2016), Jun 2016, Eindhoven, Netherlands. pp.274-285, ⟨10.1007/978-3-319-40596-4_24⟩. ⟨hal-03649456⟩
  • Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre. An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks. International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM'2016, Dec 2016, Da Nang, Vietnam. pp.280-292, ⟨10.1007/978-3-319-49046-5_24⟩. ⟨hal-03649479⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. Feature Selection From Partially Uncertain Data Within the Belief Function Framework. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPUM'2016, Jun 2016, Eindhoven, Netherlands. pp.643-655, ⟨10.1007/978-3-319-40581-0_52⟩. ⟨hal-03649461⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. Handling Uncertain Attribute Values In Decision Tree Classifier Using The Belief Function Theory. International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA'2016, Sep 2016, Varna, Bulgaria. pp.26-35, ⟨10.1007/978-3-319-44748-3_3⟩. ⟨hal-03649449⟩
  • 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⟩
  • Pauline Minary, Frédéric Pichon, David Mercier, Éric Lefèvre, Benjamin Droit. An Evidential Pixel-Based Face Blurring Approach. International Conference on Belief Functions 2016, Sep 2016, Prague, Czech Republic. pp.222-230. ⟨hal-03522112⟩
  • Pauline Minary, Benjamin Droit, Frédéric Pichon, David Mercier, Eric Lefevre. A fusion method for blurring faces on platforms using belief functions. 11th World Congress on Railway Research, May 2016, Milan, Italy. ⟨hal-03522208⟩
  • Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre. The Link Prediction Problem Under a Belief Function Framework. 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2015, Vietri sul Mare, Italy. pp.1013-1020, ⟨10.1109/ICTAI.2015.145⟩. ⟨hal-03649495⟩
  • Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre. Evidential Link Prediction Based on Group Information. International Conference on Mining Intelligence and Knowledge Exploration, MIKE'2015, Dec 2015, Hyderabad, India. pp.482-492, ⟨10.1007/978-3-319-26832-3_45⟩. ⟨hal-03649503⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Comparison of belief AHP models using a simulation study. Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, (IFSA-EUSFLAT'2015), Jun 2015, Gijon, Spain. ⟨10.2991/ifsa-eusflat-15.2015.137⟩. ⟨hal-03649491⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. Classifier fusion within the belief function framework using dependent combination rules. International Symposium on Methodologies for Intelligent Systems, ISMIS'2015, Oct 2015, Lyon, France. pp.133-138, ⟨10.1007/978-3-319-25252-0_14⟩. ⟨hal-03649499⟩
  • Asma Trabelsi, Zied Elouedi, Eric Lefevre. Belief function combination: comparative study within the classifier fusion framework. 1st International Conference on Advanced Intelligent System and Informatics, AISI'2015, Nov 2015, Beni Suef, Egypt. pp.425-435, ⟨10.1007/978-3-319-26690-9_38⟩. ⟨hal-03649485⟩
  • David Mercier, Frédéric Pichon, Eric Lefevre, François Delmotte. Learning contextual discounting and contextual reinforcement from labelled data. 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, Jul 2015, Compiègne, France. pp.472-481. ⟨hal-03522189⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Qualitative AHP Models under the Belief Function Framework. 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA), Dec 2015, Marrakech, Morocco. pp.128-133, ⟨10.1109/ISDA.2015.7489213⟩. ⟨hal-03649496⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. An Extension of the Analytic Hierarchy Process Method Under the Belief Function Framework. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2014, Jul 2014, Montpellier, France. pp.233-242, ⟨10.1007/978-3-319-08852-5_24⟩. ⟨hal-03649694⟩
  • Ahmed Samet, Eric Lefevre, Sadok Ben Yahia. Belief function classification with conflict management: application on forest image. Tenth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS'2014), Nov 2014, Marrakech, France. pp.14-20, ⟨10.1109/SITIS.2014.34⟩. ⟨hal-03649697⟩
  • Ahmed Samet, Eric Lefevre, Sadok Ben Yahia. Evidential Database: a new generalization of databases?. International Conference on Belief Functions, BELIEF'2014, Sep 2014, Oxford, United Kingdom. pp.105-114, ⟨10.1007/978-3-319-11191-9_12⟩. ⟨hal-03649690⟩
  • Ahmed Samet, Eric Lefevre, Sadok Ben Yahia. Classification with evidential associative rules. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2014, Jul 2014, Montpellier, France. pp.25-35, ⟨10.1007/978-3-319-08795-5_4⟩. ⟨hal-03649693⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Modeling Qualitative Assessments under the Belief Function Framework. International Conference on Belief Functions, BELIEF'2014, Sep 2014, Oxford, United Kingdom. pp.171-179, ⟨10.1007/978-3-319-11191-9_19⟩. ⟨hal-03649691⟩
  • Frédéric Pichon, David Mercier, François Delmotte, Eric Lefèvre. Truthfulness in contextual information correction. 3rd International Conference on Belief Functions (BELIEF 2014), Sep 2014, Oxford, United Kingdom. pp.11-20. ⟨hal-03522197⟩
  • E Lefevre, Frédéric Pichon, David Mercier, Zied Elouedi, Benjamin Quost. Estimation de sincérité et pertinence à partir de matrices de confusion pour la correction de fonctions de croyance. Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2014, Oct 2014, Cargèse, France. pp.115-122. ⟨hal-03522193⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Multicriteria Decision Making Based on Qualitative Assessments and Relational Belief. Congress of the Italian Association for Artificial Intelligence, AI*IA'2013, Dec 2013, Turin, Italy. pp.48-59, ⟨10.1007/978-3-319-03524-6_5⟩. ⟨hal-03649717⟩
  • Ahmed Samet, Eric Lefevre, Sadok Ben Yahia. Mining frequent itemsets in evidential database. International Conference Knowledge and Systems Engineering, KSE'2013, Oct 2013, Hanoi, Vietnam. pp.377-388, ⟨10.1007/978-3-319-02821-7_33⟩. ⟨hal-03649721⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Modeling Expert Preference using the Qualitative Belief function Framework. 13th International Conference on Intelligent Systems Design and Applications (ISDA'2013), Dec 2013, Salangor, Malaysia. pp.98-103, ⟨10.1109/ISDA.2013.6920715⟩. ⟨hal-03649719⟩
  • Ahmed Samet, Imen Hammami, Eric Lefevre, Atef Hamouda. Generic discounting evaluation approach for urban image classification. International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM'2013, Jul 2013, Beijing, China. pp.79-90, ⟨10.1007/978-3-642-39515-4_7⟩. ⟨hal-03649720⟩
  • 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⟩
  • 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⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Introducing Incomparability in Modeling Qualitative Belief Functions. International Conference on Modeling Decisions for Artificial Intelligence (MDAI'2012), Nov 2012, Gérone, Spain. pp.382-393, ⟨10.1007/978-3-642-34620-0_34⟩. ⟨hal-03649723⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Reasoning under Uncertainty in the AHP Method using the Belief Function Theory. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2012, Jul 2012, Catania, Italy. pp.373-382, ⟨10.1007/978-3-642-31724-8_39⟩. ⟨hal-03649722⟩
  • 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⟩
  • Amel Ennaceur, Zied Elouedi, Eric Lefevre. Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle Assessment. Congress of the Italian Association for Artificial Intelligence (AI*IA'2011), Italian Association for Artificial Intelligence, Sep 2011, Palerme, Italy. pp.395-400, ⟨10.1007/978-3-642-23954-0_37⟩. ⟨hal-03649725⟩
  • 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 - 11th European Conference, ECSQARU 2011, Jun 2011, Belfast, United Kingdom. pp.314-325, ⟨10.1007/978-3-642-22152-1_27⟩. ⟨hal-03522221⟩
  • 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⟩
  • 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⟩
  • 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, Daniel Dupont, Eric Lefevre, David Mercier. Belief assignment on compound hypotheses within the framework of the Transferable Belief Model. 12th International Conference on Information Fusion, FUSION'2009, Jul 2009, Seattle, United States. pp.498-505. ⟨hal-03649735⟩
  • 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⟩
  • Yann Lemeret, Eric Lefevre, Daniel Jolly. An association algorithm for tracking multiple moving objects. IEEE Intelligent Transportation Systems Conference, ITSC'2006, Sep 2006, Toronto, Canada. pp.1334-1339, ⟨10.1109/ITSC.2006.1707408⟩. ⟨hal-03649737⟩
  • Eric Lefevre, Olivier Colot, Patrick Vannoorenberghe, Denis de Brucq. Knowledge modeling methods in the framework of evidence theory: an experimental comparison for melanoma detection. IEEE International Conference on Systems, Man, and Cybernetics, SMC'2000, Oct 2000, Nashville, United States. pp.2806-2811, ⟨10.1109/ICSMC.2000.884422⟩. ⟨hal-03649740⟩

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⟩