Philippe Leray

Publication Activity (10 Years)

Years Active: 1996-2021
Publications (10 Years): 35

Top Topics

Relational Model

Bayesian Networks

Structure Learning

Top Venues

Publications

Mathilde Monvoisin, Philippe Leray, Mathieu Ritou
Unsupervised Co-training of Bayesian Networks for Condition Prediction. IEA/AIE (2) (2021)
Sarah Benikhlef, Philippe Leray, Guillaume Raschia, Montassar Ben Messaoud, Fayrouz Sakly
Multi-task Transfer Learning for Bayesian Network Structures. ECSQARU (2021)
Vahé Asvatourian, Philippe Leray, Stefan Michiels, Emilie Lanoy
Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks. Artif. Intell. Medicine 107 (2020)
Evan Dufraisse, Philippe Leray, Raphaël Nedellec, Tarek Benkhelif
Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks. PGM (2020)
Mathilde Monvoisin, Philippe Leray
Multi-task Transfer Learning for Timescale Graphical Event Models. ECSQARU (2019)
Thierno Kanté, Philippe Leray
A Probabilistic Relational Model for Risk Assessment and Spatial Resources Management. IEA/AIE (2019)
Dimitri Antakly, Benoît Delahaye, Philippe Leray
Graphical Event Model Learning and Verification for Security Assessment. IEA/AIE (2019)
Silja Renooij, Linda C. van der Gaag, Philippe Leray
On Intercausal Interactions in Probabilistic Relational Models. ISIPTA (2019)
Linda C. van der Gaag, Philippe Leray
Qualitative Probabilistic Relational Models. SUM (2018)
Jiajun Pan, Hoel Le Capitaine, Philippe Leray
Relational Constraints for Metric Learning on Relational Data. CoRR (2018)
Romain Rincé, Romain Kervarc, Philippe Leray
Complex Event Processing Under Uncertainty Using Markov Chains, Constraints, and Sampling. RuleML+RR (2018)
Rajani Chulyadyo, Philippe Leray
Using Probabilistic Relational Models to generate synthetic spatial or non-spatial databases. RCIS (2018)
Marwa El Abri, Philippe Leray, Nadia Essoussi
DAPER Joint Learning from Partially Structured Graph Databases. ICDEc (2018)
Maroua Haddad, Philippe Leray, Amélie Levray, Karim Tabia
Learning the Parameters of Possibilistic Networks from Data: Empirical Comparison. FLAIRS Conference (2017)
Youssef Benhaddou, Philippe Leray
Customer Relationship Management and Small Data - Application of Bayesian Network Elicitation Techniques for Building a Lead Scoring Model. AICCSA (2017)
Marwa El Abri, Philippe Leray, Nadia Essoussi
Learning Probabilistic Relational Models with (Partially Structured) Graph Databases. AICCSA (2017)
Thierno Kanté, Philippe Leray
A Probabilistic Relational Model Approach for Fault Tree Modeling. IEA/AIE (2) (2017)
Romain Rincé, Romain Kervarc, Philippe Leray
On the Use of WalkSAT Based Algorithms for MLN Inference in Some Realistic Applications. IEA/AIE (2) (2017)
Maroua Haddad, Philippe Leray, Nahla Ben Amor
Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data. ECSQARU (2017)
Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
A Hybrid Approach for Probabilistic Relational Models Structure Learning. IDA (2016)
Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
Probabilistic relational model benchmark generation: Principle and application. Intell. Data Anal. 20 (3) (2016)
Maroua Haddad, Philippe Leray, Nahla Ben Amor
Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy. CoRR (2016)
Mouna Ben Ishak, Rajani Chulyadyo, Philippe Leray
Probabilistic Relational Model Benchmark Generation. CoRR (2016)
Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud
An Exact Approach to Learning Probabilistic Relational Model. Probabilistic Graphical Models (2016)
Gérard Ramstein, Philippe Leray
CPD Tree Learning Using Contexts as Background Knowledge. ECSQARU (2015)
Anthony Coutant, Philippe Leray, Hoel Le Capitaine
Probabilistic Relational Models with clustering uncertainty. IJCNN (2015)
Maroua Haddad, Philippe Leray, Nahla Ben Amor
Evaluating Product-Based Possibilistic Networks Learning Algorithms. ECSQARU (2015)
Philippe Leray, Grégory Nuel
Introduction. Rev. d'Intelligence Artif. 29 (2) (2015)
Maroua Haddad, Philippe Leray, Nahla Ben Amor
Learning possibilistic networks from data: a survey. IFSA-EUSFLAT (2015)
Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
SemCaDo: A serendipitous strategy for causal discovery and ontology evolution. Knowl. Based Syst. 76 (2015)
Anthony Coutant, Hoel Le Capitaine, Philippe Leray
On the equivalence between regularized NMF and similarity-augmented graph partitioning. ESANN (2015)
Rajani Chulyadyo, Philippe Leray
Integrating spatial information into probabilistic relational models. DSAA (2015)
Maroua Haddad, Philippe Leray, Nahla Ben Amor
Apprentissage des réseaux possibilistes à partir de données. Rev. d'Intelligence Artif. 29 (2) (2015)
Duc-Thanh Phan, Philippe Leray, Christine Sinoquet
Latent Forests to Model Genetical Data for the Purpose of Multilocus Genome-Wide Association Studies. Which Clustering Should Be Chosen? BIOSTEC (Selected Papers) (2015)
Duc-Thanh Phan, Philippe Leray, Christine Sinoquet
Modeling Genetical Data with Forests of Latent Trees for Applications in Association Genetics at a Large Scale - Which Clustering Method should Be Chosen?. BIOINFORMATICS (2015)
Rajani Chulyadyo, Philippe Leray
A Personalized Recommender System from Probabilistic Relational Model and Users' Preferences. KES (2014)
Aida Jarraya, Philippe Leray, Afif Masmoudi
Discrete exponential Bayesian networks: Definition, learning and application for density estimation. Neurocomputing 137 (2014)
Aida Jarraya, Philippe Leray, Afif Masmoudi
Implicit parameter estimation for conditional Gaussian Bayesian networks. Int. J. Comput. Intell. Syst. 7 (sup1) (2014)
Philippe Leray
Advances in Learning with Bayesian Networks. ICAART (1) (2014)
Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray
A Survey on Latent Tree Models and Applications. CoRR (2014)
Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stéphane Loiseau
Probabilistic Cognitive Maps - Semantics of a Cognitive Map when the Values are Assumed to be Probabilities. ICAART (1) (2014)
Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
Random Generation and Population of Probabilistic Relational Models and Databases. ICTAI (2014)
Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stéphane Loiseau
A Probabilistic Semantics for Cognitive Maps. ICAART (Revised Selected Papers) (2014)
Anthony Coutant, Philippe Leray, Hoel Le Capitaine
Learning Probabilistic Relational Models Using Non-Negative Matrix Factorization. FLAIRS Conference (2014)
Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray
A Survey on Latent Tree Models and Applications. J. Artif. Intell. Res. 47 (2013)
Maroua Haddad, Nahla Ben Amor, Philippe Leray
Imputation of Possibilistic Data for Structural Learning of Directed Acyclic Graphs. WILF (2013)
Ghada Trabelsi, Philippe Leray, Mounir Ben Ayed, Adel M. Alimi
Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning. IDA (2013)
Salem Benferhat, Philippe Leray
Editorial: Uncertainty in Artificial Intelligence and Databases. Int. J. Approx. Reason. 54 (7) (2013)
Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
Active learning of causal Bayesian networks using ontologies: A case study. IJCNN (2013)
Christine Sinoquet, Raphaël Mourad, Philippe Leray
Forests of Latent Tree Models for the Detection of Genetic Associations. BIOINFORMATICS (2012)
Christine Sinoquet, Raphaël Mourad, Philippe Leray
Forests of Latent Tree Models to Decipher Genotype-Phenotype Associations. BIOSTEC (Selected Papers) (2012)
Aida Jarraya, Philippe Leray, Afif Masmoudi
Discrete Exponential Bayesian Networks Structure Learning for Density Estimation. ICIC (3) (2012)
Raphaël Mourad, Christine Sinoquet, Philippe Leray
Probabilistic graphical models for genetic association studies. Briefings Bioinform. 13 (1) (2012)
Amanullah Yasin, Philippe Leray
iMMPC: Une approche locale pour l'apprentissage incrémental de la structure des réseaux bayésiens. EGC (2012)
François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. ECML/PKDD (3) (2011)
Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies. ECSQARU (2011)
Sourour Ammar, Philippe Leray
Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space. ECSQARU (2011)
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 Bioinform. 12 (2011)
Hoai-Tuong Nguyen, Philippe Leray, Gérard Ramstein
Multiple Hypothesis Testing and Quasi Essential Graph for Comparing Two Sets of Bayesian Networks. KES (2) (2011)
Aida Jarraya, Philippe Leray, Afif Masmoudi
Discrete Exponential Bayesian Networks: An Extension of Bayesian Networks to Discrete Natural Exponential Families. ICTAI (2011)
Amanullah Yasin, Philippe Leray
iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning. IDA (2011)
Karim Tabia, Philippe Leray
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs. Intell. Data Anal. 15 (6) (2011)
Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
A Two-way Approach for Probabilistic Graphical Models Structure Learning and Ontology Enrichment. KEOD (2011)
Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin
A dynamic Bayesian network to represent discrete duration models. Neurocomputing 73 (4-6) (2010)
François Schnitzler, Philippe Leray, Louis Wehenkel
Towards sub-quadratic learning of probability density models in the form of mixtures of trees. ESANN (2010)
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)
Karim Tabia, Philippe Leray
Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability. IPMU (2) (2010)
Raphaël Mourad, Christine Sinoquet, Philippe Leray
Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies. COMPSTAT (2010)
Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization. ECSQARU (2009)
Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. ECSQARU (2009)
Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray
Reliability Analysis using Graphical Duration Models. ARES (2008)
Philippe Leray
Éditorial. Rev. d'Intelligence Artif. 21 (3) (2007)
Grégory Mallet, Philippe Leray, Hubert Polaert
Méthodes statistiques et modèles thermiques compacts. EGC (2007)
Olivier François, Philippe Leray
Generation of Incompliete Test-Data usinng Bayesinan Networks. IJCNN (2007)
Stijn Meganck, Philippe Leray, Bernard Manderick
Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU (2007)
Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick
Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models (2006)
Stijn Meganck, Philippe Leray, Bernard Manderick
Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI (2006)
Olivier François, Philippe Leray
Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets. Probabilistic Graphical Models (2006)
Sam Maes, Philippe Leray
Multi-Agent Causal Models for Dependability Analysis. ARES (2006)
Ahmad Faour, Philippe Leray, Cédric Foll
Réseaux bayésiens pour le filtrage d'alarmes dans les systèmes de détection d'intrusions. EGC (Ateliers) (2005)
Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
A Learning Algorithm for Multi-Agent Causal Models. EUMAS (2005)
Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
Distributed learning of Multi-Agent Causal Models. IAT (2005)
Olivier François, Philippe Leray
Apprentissage de structure des réseaux bayésiens et données incomplètes. EGC (2005)
Philippe Leray, Olivier François
Réseaux bayésiens pour la classification Méthodologie et illustration dans le cadre du diagnostic médical. Rev. d'Intelligence Artif. 18 (2) (2004)
Bruno Grilhères, Stephan Brunessaux, Philippe Leray
Combining classifiers for harmful document filtering. RIAO (2004)
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. Int. J. Pattern Recognit. Artif. Intell. 18 (7) (2004)
Philippe Leray, Patrick Gallinari
De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches. Rev. d'Intelligence Artif. 15 (3-4) (2001)
Philippe Leray, Patrick Gallinari, Elisabeth Didelet
Diagnosis Tools for Telecommunication Network Traffic Management. ICANN (1996)