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Philippe Leray
2010 – today
- 2013
[j9]Raphaël Mourad, Christine Sinoquet, N. L. Zhang, T. Liu, Philippe Leray: A Survey on Latent Tree Models and Applications. J. Artif. Intell. Res. (JAIR) 47: 157-203 (2013)- 2012
- [j8]Raphaël Mourad, Christine Sinoquet, Philippe Leray: Probabilistic graphical models for genetic association studies. Briefings in Bioinformatics 13(1): 20-33 (2012)
- [c28]Christine Sinoquet, Raphaël Mourad, Philippe Leray: Forests of Latent Tree Models for the Detection of Genetic Associations. BIOINFORMATICS 2012: 5-14
- [c27]Amanullah Yasin, Philippe Leray: iMMPC: Une approche locale pour l'apprentissage incrémental de la structure des réseaux bayésiens. EGC 2012: 587-588
- [c26]Aida Jarraya, Philippe Leray, Afif Masmoudi: Discrete Exponential Bayesian Networks Structure Learning for Density Estimation. ICIC (3) 2012: 146-151
- 2011
- [j7]Raphaël Mourad, Christine Sinoquet, Philippe Leray: A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies. BMC Bioinformatics 12: 16 (2011)
- [j6]Karim Tabia, Philippe Leray: Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs. Intell. Data Anal. 15(6): 955-978 (2011)
- [c25]Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor: SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies. ECSQARU 2011: 182-193
- [c24]Sourour Ammar, Philippe Leray: Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space. ECSQARU 2011: 229-238
- [c23]Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor: A Two-way Approach for Probabilistic Graphical Models Structure Learning and Ontology Enrichment. KEOD 2011: 189-194
- [c22]Aida Jarraya, Philippe Leray, Afif Masmoudi: Discrete Exponential Bayesian Networks: An Extension of Bayesian Networks to Discrete Natural Exponential Families. ICTAI 2011: 205-208
- [c21]Amanullah Yasin, Philippe Leray: iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning. IDA 2011: 401-412
- [c20]Hoai-Tuong Nguyen, Philippe Leray, Gérard Ramstein: Multiple Hypothesis Testing and Quasi Essential Graph for Comparing Two Sets of Bayesian Networks. KES (2) 2011: 176-185
- [c19]François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel: Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. ECML/PKDD (3) 2011: 113-128
- 2010
- [j5]Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin: A dynamic Bayesian network to represent discrete duration models. Neurocomputing 73(4-6): 570-577 (2010)
- [c18]François Schnitzler, Philippe Leray, Louis Wehenkel: Towards sub-quadratic learning of probability density models in the form of mixtures of trees. ESANN 2010
- [c17]Karim Tabia, Philippe Leray: Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability. IPMU (2) 2010: 632-642
- [c16]Karim Tabia, Philippe Leray: Handling IDS' Reliability in Alert Correlation - A Bayesian Network-based Model for Handling IDS's Reliability and Controlling Prediction/False Alarm Rate Tradeoffs. SECRYPT 2010: 14-24
2000 – 2009
- 2009
- [c15]Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel: Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. ECSQARU 2009: 156-167
- [c14]Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor: Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization. ECSQARU 2009: 168-179
- 2008
- [c13]Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray: Reliability Analysis using Graphical Duration Models. ARES 2008: 795-800
- [p1]Philippe Leray, Stijn Meganck, Sam Maes, Bernard Manderick: Causal Graphical Models with Latent Variables: Learning and Inference. Innovations in Bayesian Networks 2008: 219-249
- 2007
- [j4]
- [c12]Stijn Meganck, Philippe Leray, Bernard Manderick: Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU 2007: 5-16
- [c11]Grégory Mallet, Philippe Leray, Hubert Polaert: Méthodes statistiques et modèles thermiques compacts. EGC 2007: 213-214
- [c10]Olivier François, Philippe Leray: Generation of Incompliete Test-Data usinng Bayesinan Networks. IJCNN 2007: 2391-2396
- 2006
- [c9]
- [c8]Stijn Meganck, Philippe Leray, Bernard Manderick: Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI 2006: 58-69
- [c7]Olivier François, Philippe Leray: Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets. Probabilistic Graphical Models 2006: 91-98
- [c6]Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick: Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models 2006: 195-206
- 2005
- [c5]Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: A Learning Algorithm for Multi-Agent Causal Models. EUMAS 2005: 190-201
- [c4]Olivier François, Philippe Leray: Apprentissage de structure des réseaux bayésiens et données incomplètes. EGC 2005: 127-132
- [c3]Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: Distributed learning of Multi-Agent Causal Models. IAT 2005: 285-288
- 2004
- [j3]Iyad Zaarour, Laurent Heutte, Philippe Leray, Jacques Labiche, Bassam Eter, Daniel Mellier: Clustering And Bayesian Network Approaches For Discovering Handwriting Strategies Of Primary School Children. IJPRAI 18(7): 1233-1251 (2004)
- [j2]Philippe Leray, Olivier François: Réseaux bayésiens pour la classification Méthodologie et illustration dans le cadre du diagnostic médical. Revue d'Intelligence Artificielle 18(2): 169-193 (2004)
- [c2]Bruno Grilheres, Stephan Brunessaux, Philippe Leray: Combining classifiers for harmful document filtering. RIAO 2004: 173-185
- 2001
- [j1]Philippe Leray, Patrick Gallinari: De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches. Revue d'Intelligence Artificielle 15(3-4): 373-391 (2001)
1990 – 1999
- 1996
- [c1]Philippe Leray, Patrick Gallinari, Elisabeth Didelet: Diagnosis Tools for Telecommunication Network Traffic Management. ICANN 1996: 209-214
Coauthor Index
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last updated on 2013-06-18 22:11 CEST by the dblp team