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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⟩
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⟩
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⟩
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⟩
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⟩
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⟩
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⟩
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⟩
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⟩
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⟩
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⟩
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⟩
Sourour Ammar, Philippe Leray, Louis Wehenkel. Sub-quadratic markov tree mixture models for probability density estimation. COMPSTAT 2010, 2010, Paris, France. pp.?-?. ⟨hal-00487353⟩
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⟩
Nahla Ben Amor, Maroua Haddad, Philippe Leray. Apprentissage des réseaux possibilistes à partir de données: un survol. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2015, 29 (2), pp.229-252. ⟨10.3166/HSP.x.1-24⟩. ⟨hal-01166897⟩
Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray, et al.. Probabilistic Cognitive Maps Semantics of a Cognitive Map when the Values are Assumed to be Probabilities. International Conference on Agents and Artificial Intelligence (ICAART), 2014, Angers, France. pp.52-62. ⟨hal-00957935⟩
Rajani Chulyadyo, Philippe Leray. Integrating spatial information into probabilistic relational model. 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), 2015, Paris, France. ⟨10.1109/DSAA.2015.7344800⟩. ⟨hal-01201226⟩
Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor. Probabilistic relational model benchmark generation: Principle and application. Intelligent Data Analysis, IOS Press, 2016, 20 (3), pp.615-635. ⟨10.3233/IDA-160823⟩. ⟨hal-01150688⟩
Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor. A hybrid approach for probabilistic relational models structure learning. 15th International Symposium on Intelligent Data Analysis (IDA 2016), 2016, Stockholm, Sweden. ⟨10.1007/978-3-319-46349-0_4⟩. ⟨hal-01347798⟩
Anthony Coutant, Hoel Le Capitaine, Philippe Leray. On the equivalence between regularized nmf and similarity-augmented graph partitioning. 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), 2015, Bruges, Belgium. ⟨hal-01150691⟩
Number of fulltext
176
Number of reference
429
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