Philippe Leray Vis

*	2009
19	EE	Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel: Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. ECSQARU 2009: 156-167
18	EE	Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor: Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization. ECSQARU 2009: 168-179
	2008
17	EE	Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray: Reliability Analysis using Graphical Duration Models. ARES 2008: 795-800
16	EE	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
15	EE	Stijn Meganck, Philippe Leray, Bernard Manderick: Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU 2007: 5-16
14		Grégory Mallet, Philippe Leray, Hubert Polaert: Méthodes statistiques et modèles thermiques compacts. EGC 2007: 213-214
13	EE	Olivier François, Philippe Leray: Generation of Incompliete Test-Data usinng Bayesinan Networks. IJCNN 2007: 2391-2396
12	EE	Philippe Leray: Éditorial. Revue d'Intelligence Artificielle 21(3): 293-294 (2007)
	2006
11	EE	Sam Maes, Philippe Leray: Multi-Agent Causal Models for Dependability Analysis. ARES 2006: 794-798
10	EE	Stijn Meganck, Philippe Leray, Bernard Manderick: Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI 2006: 58-69
9	EE	Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick: Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models 2006: 195-206
8	EE	Olivier François, Philippe Leray: Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets. Probabilistic Graphical Models 2006: 91-98
	2005
7		Olivier François, Philippe Leray: Apprentissage de structure des réseaux bayésiens et données incomplètes. EGC 2005: 127-132
6		Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: A Learning Algorithm for Multi-Agent Causal Models. EUMAS 2005: 190-201
5	EE	Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: Distributed learning of Multi-Agent Causal Models. IAT 2005: 285-288
	2004
4		Bruno Grilheres, Stephan Brunessaux, Philippe Leray: Combining classifiers for harmful document filtering. RIAO 2004: 173-185
3	EE	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)
2	EE	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)
	1996
1		Philippe Leray, Patrick Gallinari, Elisabeth Didelet: Diagnosis Tools for Telecommunication Network Traffic Management. ICANN 1996: 209-214

Coauthor Index

1	Patrice Aknin	[17]
2	Sourour Ammar	[19]
3	Nahla Ben Amor	[18]
4	Laurent Bouillaut	[17]
5	Stephan Brunessaux	[4]
6	Boris Defourny	[19]
7	Elisabeth Didelet	[1]
8	Roland Donat	[17]
9	Bassam Eter	[3]
10	Olivier François	[2] [7] [8] [13]
11	Patrick Gallinari	[1]
12	Bruno Grilheres	[4]
13	Laurent Heutte	[3]
14	Jacques Labiche	[3]
15	Sam Maes	[5] [6] [9] [11] [16]
16	Grégory Mallet	[14]
17	Bernard Manderick	[5] [6] [9] [10] [15] [16]
18	Stijn Meganck	[5] [6] [9] [10] [15] [16]
19	Daniel Mellier	[3]
20	Montassar Ben Messaoud	[18]
21	Hubert Polaert	[14]
22	Louis Wehenkel	[19]
23	Iyad Zaarour	[3]

Colors in the list of coauthors