 | 2012 |
| 34 |  | Christine Sinoquet,
Raphaël Mourad,
Philippe Leray:
Forests of Latent Tree Models for the Detection of Genetic Associations.
BIOINFORMATICS 2012: 5-14 |
| 33 |  | Raphaël Mourad,
Christine Sinoquet,
Philippe Leray:
Probabilistic graphical models for genetic association studies.
Briefings in Bioinformatics 13(1): 20-33 (2012) |
| 2011 |
| 32 |  | 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 |
| 31 |  | Montassar Ben Messaoud,
Philippe Leray,
Nahla Ben Amor:
SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies.
ECSQARU 2011: 182-193 |
| 30 |  | Sourour Ammar,
Philippe Leray:
Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space.
ECSQARU 2011: 229-238 |
| 29 |  | Aida Jarraya,
Philippe Leray,
Afif Masmoudi:
Discrete Exponential Bayesian Networks: An Extension of Bayesian Networks to Discrete Natural Exponential Families.
ICTAI 2011: 205-208 |
| 28 |  | Amanullah Yasin,
Philippe Leray:
iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning.
IDA 2011: 401-412 |
| 27 |  | 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 |
| 26 |  | 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 |
| 25 |  | 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) |
| 24 |  | Karim Tabia,
Philippe Leray:
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs.
Intell. Data Anal. 15(6): 955-978 (2011) |
| 2010 |
| 23 |  | François Schnitzler,
Philippe Leray,
Louis Wehenkel:
Towards sub-quadratic learning of probability density models in the form of mixtures of trees.
ESANN 2010 |
| 22 |  | Karim Tabia,
Philippe Leray:
Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability.
IPMU (2) 2010: 632-642 |
| 21 |  | 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 |
| 20 |  | Roland Donat,
Philippe Leray,
Laurent Bouillaut,
Patrice Aknin:
A dynamic Bayesian network to represent discrete duration models.
Neurocomputing 73(4-6): 570-577 (2010) |
| 2009 |
| 19 |  | Sourour Ammar,
Philippe Leray,
Boris Defourny,
Louis Wehenkel:
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks.
ECSQARU 2009: 156-167 |
| 18 |  | Montassar Ben Messaoud,
Philippe Leray,
Nahla Ben Amor:
Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization.
ECSQARU 2009: 168-179 |
| 2008 |
| 17 |  | Roland Donat,
Laurent Bouillaut,
Patrice Aknin,
Philippe Leray:
Reliability Analysis using Graphical Duration Models.
ARES 2008: 795-800 |
| 16 |  | 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 |  | 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 |  | Olivier François,
Philippe Leray:
Generation of Incompliete Test-Data usinng Bayesinan Networks.
IJCNN 2007: 2391-2396 |
| 12 |  | Philippe Leray:
Éditorial.
Revue d'Intelligence Artificielle 21(3): 293-294 (2007) |
| 2006 |
| 11 |  | Sam Maes,
Philippe Leray:
Multi-Agent Causal Models for Dependability Analysis.
ARES 2006: 794-798 |
| 10 |  | Stijn Meganck,
Philippe Leray,
Bernard Manderick:
Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach.
MDAI 2006: 58-69 |
| 9 |  | Stijn Meganck,
Sam Maes,
Philippe Leray,
Bernard Manderick:
Learning Semi-Markovian Causal Models using Experiments.
Probabilistic Graphical Models 2006: 195-206 |
| 8 |  | 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 |  | 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 |  | 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 |  | 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 |