• 
  Stéphane Lallich, Philippe Lenca, Fabrice Guillet. Actes du Troisième atelier QUalité des Données et des Connaissances (QDC 2007). Université de Namur (Fundp), Belgique, pp.75, 2007. ⟨hal-00462377⟩
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  Philippe Lenca, Stéphane Lallich, Fabrice Guillet. Actes du Quatrième atelier Qualité des Données et des Connaissances (QDC 2008). Université de Sophia Antipolis, pp.101, 2008. ⟨hal-00462378⟩
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  Julien Broséus, Gaili Chen, Sébastien Hergalant, Gérard Ramstein, Nicolas Mounier, et al.. Relapsed diffuse large B-cell lymphoma present different genomic profiles between early and late relapses. Oncotarget, Impact journals, 2016, 7 (51), pp.83987-84002. ⟨10.18632/oncotarget.9793⟩. ⟨hal-02314515⟩
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  Rocio Abascal, Michel Beigbeder, Aurélien Bénel, Sylvie Calabretto, Bertrand Chabbat, et al.. Documents à structures multiples. SETIT'2004, Sciences of Electronic, Technology of Information and Telecommunications, Mar 2004, Sousse, Tunisie. ⟨emse-00949199⟩
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  Andrea Perna, Pascale Kuntz, Guy Theraulaz, Christian Jost. From local growth to global optimization in insect built networks. P. Lio and D. Verma. Biologically Inspired Networking and Sensing : Algorithms and Architectures, IGI Global, pp.132-144, 2011, ⟨10.4018/978-1-61350-092-7.ch007⟩. ⟨hal-00600664⟩
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  Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz. An efficient algorithm for computing the distance between close partitions. Discrete Applied Mathematics, Elsevier, 2011, 159 (1), pp.53-59. ⟨10.1016/j.dam.2010.09.002⟩. ⟨hal-00567981⟩
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  Amanullah Yasin, Philippe Leray. Local Skeleton Discovery for Incremental Bayesian Network Structure Learning. International Conference on Computer Networks and Information Technology (ICCNIT), Jul 2011, Peshawar, Pakistan. ⟨hal-00595152⟩
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  Amanullah Yasin, Philippe Leray. Incremental bayesian network structure learning in high dimensional domains. International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013), 2013, Hammamet, Tunisia. pp.1-6, ⟨10.1109/ICMSAO.2013.6552635⟩. ⟨hal-00812175⟩
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  Ghada Trabelsi, Philippe Leray, Mounir Ben Ayed, Adel Alimi. Évaluation des algorithmes d'apprentissage de structure pour les réseaux bayésiens dynamiques.. 7èmes journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France. ⟨hal-01005775⟩
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  Karim Tabia, Philippe Leray. Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs. Intelligent Data Analysis, IOS Press, 2011, 15 (6), pp.?-?. ⟨10.3233/IDA-2011-0504⟩. ⟨hal-00568027⟩
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  François Schnitzler, Philippe Leray, Louis Wehenkel. Towards sub-quadratic learning of probability density models in the form of mixtures of trees. ESANN 2010, 2010, Bruges, Belgium. pp.219-224. ⟨hal-00487354⟩
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  Hoai-Tuong Nguyen, Philippe Leray, Gérard Ramstein. Summarizing and visualizing a set of bayesian networks with quasi essential graphs. ASMDA 2011, 2011, Roma, Italy. pp.1062-1069. ⟨hal-00645005⟩
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  Aida Jarraya, Philippe Leray, Afif Masmoudi. Discrete exponential bayesian networks structure learning for density estimation. International Conference on Intelligent Computing, 2012, Huangshan, China. pp.?-?, ⟨10.1007/978-3-642-31837-5_21⟩. ⟨hal-00691834⟩
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  Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor. Semcado: a serendipitous causal discovery algorithm for ontology evolution. ARCOE 2011, 2011, Barcelona, Spain. pp.43-47. ⟨hal-00645000⟩
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  Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor. Active learning of causal bayesian networks using ontologies: a case study. International Joint Conference on Neural Networks, 2013, Dallas, United States. pp.1-6. ⟨hal-00864156⟩
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  Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor. A two-way approach for probabilistic graphical models structure learning and ontology enrichment.. KEOD 2011, 2011, Paris, France. pp.189-194. ⟨hal-00644993⟩
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  Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor. Ontology-based generation of object oriented bayesian networks. BMAW 2011, 2011, Barcelona, Spain. pp.9-17. ⟨hal-00644992⟩
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  Mouna Ben Ishak, Nahla Ben Amor, Philippe Leray. A RBN-based recommender system architecture. International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013), 2013, Hammamet, Tunisia. pp.1-6, ⟨10.1109/ICMSAO.2013.6552609⟩. ⟨hal-00812168⟩
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  Sourour Ammar, Philippe Leray, Louis Wehenkel. Sub-quadratic markov tree mixture models for probability density estimation. COMPSTAT 2010, 2010, Paris, France. pp.?-?. ⟨hal-00487353⟩
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  Sourour Ammar, Philippe Leray. Mixture of markov trees for bayesian network structure learning with small datasets in high dimensional space. ECSQARU 2011, 2011, Belfast, Ireland. pp.229-238. ⟨hal-00644991⟩

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