PILGRIM Related Publications

Direct access: Research Press

Research publications

      International Journals (other ranking) (ACLN)

    • [1] Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor. Probabilistic relational model benchmark generation: Principle and application. Intelligent Data Analysis, 2017, vol.20, num.3. IOS Press.
      https://hal.archives-ouvertes.fr/hal-01150688

      International Conferences (A/B ranking) (ACTI)

    • [2] Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor. A hybrid approach for probabilistic relational models structure learning. In 15th International Symposium on Intelligent Data Analysis (IDA 2016), 2016, Stockholm, .
      https://hal.archives-ouvertes.fr/hal-01347798
    • [3] Anthony Coutant, Hoel Le Capitaine, Philippe Leray. Probabilistic relational models with clustering uncertainty. In IEEE International Joint Conference on Neural Networks (IJCNN 2015), 2015, Killarney, Ireland.
      https://hal.archives-ouvertes.fr/hal-01150692
    • [4] Rajani Chulyadyo, Philippe Leray. Integrating spatial information into probabilistic relational model. In 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), 2015, Paris, France.
      https://hal.archives-ouvertes.fr/hal-01201226
    • [5] Mouna Ben Ishak, Leray Philippe, Nahla Ben Amor. Random generation and population of probabilistic relational models and databases. In 26th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2014), 2014, Limassol, Cyprus.
      https://hal.archives-ouvertes.fr/hal-01084510
    • [6] Rajani Chulyadyo, Philippe Leray. A Personalized Recommender System from Probabilistic Relational Model and Users’ Preferences. In Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014, 2014, Gdynia, Poland.
      https://hal.archives-ouvertes.fr/hal-01084449
    • [7] Ghada Trabelsi, Philippe Leray, Mounir Ben Ayed, Adel Alimi. Dynamic MMHC: a local search algorithm for dynamic bayesian network structure learning. In International Symposium on Intelligent Data Analysis, 2013, London, United Kingdom.
      https://hal.archives-ouvertes.fr/hal-00864162

      Other conferences and international workshopss (ACTN)

    • [9] Marwa El Abri, Philippe Leray, Nadia Essoussi. Learning probabilistic relational models with (partially structured) graph databases. In 14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017), 2017, Hammamet, Tunisia.
      https://hal.archives-ouvertes.fr/hal-01619318
    • [10] Thierno Kante, Philippe Leray. A probabilistic relational model approach for fault trees modeling. In 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017), 2017, Arras, France.
      https://hal.archives-ouvertes.fr/hal-01532490
    • [11] Youssef Benhaddou, Philippe Leray. Customer relationship management and small data - application of bayesian network elicitation techniques for building a lead scoring model. In 14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017), 2017, Hammamet, Tunisia.
      https://hal.archives-ouvertes.fr/hal-01619307
    • [12] Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud. An exact approach to learning probabilistic relational model. In 8th International Conference on Probabilistic Graphical Models (PGM 2016), 2016, Lugano, .
      https://hal.archives-ouvertes.fr/hal-01347804
    • [13] Anthony Coutant, Philippe Leray, Hoel Le Capitaine. Learning Probabilistic Relational Models using Non-Negative Matrix Factorization. In The 27th International FLAIRS Conference, Uncertain Reasoning Special Track, 2014, Pensacola Beach, Florida, United States.
      https://hal.archives-ouvertes.fr/hal-00958394
    • [14] Amanullah Yasin, Philippe Leray. Incremental bayesian network structure learning in high dimensional domains. In International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013), 2013, Hammamet, Tunisia.
      https://hal.archives-ouvertes.fr/hal-00812175
    • [15] Anthony Coutant, Philippe Leray, Hoel Le Capitaine. Learning Probabilistic Relational Models using co-clustering methods. In Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) ICML Workshop, 2013, Atlanta, United States.
      https://hal.archives-ouvertes.fr/hal-00819031
    • [16] Ghada Trabelsi, Philippe Leray, Mounir Ben Ayed, Adel Alimi. Benchmarking dynamic bayesian network structure learning algorithms. In International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013), 2013, Hammamet, Tunisia.
      https://hal.archives-ouvertes.fr/hal-00812171
    • [17] Amanullah Yasin, Philippe Leray. Local Skeleton Discovery for Incremental Bayesian Network Structure Learning. In Proc. IEEE Int Conference on Computer Networks and Information Technology (ICCNIT), 2011, Peshawar, Pakistan.
      https://hal.archives-ouvertes.fr/hal-00595152

      Invited talks (INV)

    • [18] Philippe Leray. Advances in Learning with Bayesian Networks. In 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), 2014, Angers, France.
      https://hal.archives-ouvertes.fr/hal-00957937

      PhD Thesis (THESE)

    • [19] Mouna Ben Ishak. Probabilistic relational models: learning and evaluation. Thèses : Université de Nantes, Ecole Polytechnique ; Université de Tunis, Institut Supérieur de Gestion de Tunis.
      https://tel.archives-ouvertes.fr/tel-01179501
    • [21] Ghada Trabelsi. New structure learning algorithms and evaluation methods for large dynamic Bayesian networks. Thèses : Université de Nantes ; Ecole Nationale d'Ingénieurs de Sfax.
      https://tel.archives-ouvertes.fr/tel-00996061

      Books / chapters of books (OS)

    • [22] Salem Benferhat, Philippe Leray, Karim Tabia. Modèles graphiques pour l'incertitude : inférence et apprentissage. In P. Marquis, O. Papini, H. Prade (éds.), Panorama de l'Intelligence Artificielle, volume 2: Algorithmes pour l'intelligence artificielle. Cepadues, 2014.
      https://hal.archives-ouvertes.fr/hal-01020910

      Conferences without proceedings (COM)

    • [23] Mouna Ben Ishak, Rajani Chulyadyo, Ahmed Abdelwahab, Miriam Ramirez, Philippe Leray, Nahla Ben Amor. Relational bayesian networks for recommender systems: review and comparative study. In ENBIS-SFdS Spring Meeting on graphical causality models: Trees, Bayesian Networks and Big Data, 2014, Paris, France.
      https://hal.archives-ouvertes.fr/hal-00957940
    • [25] Toader Gherasim, Bouthayna Ed-Dahmouni, Philippe Leray. Détection et prédiction de défaillances dans un parc d'éoliennes à l'aide de réseaux bayésiens. In 8èmes journées francophones de réseaux bayésiens (JFRB 2016), 2016, Clermont-Ferrand, France.
      https://hal.archives-ouvertes.fr/hal-01347808
    • [26] Anthony Coutant, Philippe Leray, Hoel Le Capitaine. Apprentissage de modèles relationnels probabilistes par factorisation non-négative de matrices. In 7èmes journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France.
      https://hal.archives-ouvertes.fr/hal-01005777
    • [27] Ghada Trabelsi, Philippe Leray, Mounir Ben Ayed, Adel Alimi. Évaluation des algorithmes d'apprentissage de structure pour les réseaux bayésiens dynamiques.. In 7èmes journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France.
      https://hal.archives-ouvertes.fr/hal-01005775
    • [28] Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor. La génération aléatoire de réseaux bayésiens relationnels. In 7ème journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France.
      https://hal.archives-ouvertes.fr/hal-01005772

Press articles

on Pays de Loire region website (FR)
on Nantes city website (FR)