Philippe Leray

96 papers B 18C 19Misc 2Journal 23Unranked 31

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Approximate inference on optimized quantum Bayesian networks. Int. J. Approx. Reason. Walid Fathallah, Nahla Ben Amor, Philippe Leray
2024	—	`conf`	Mining Discriminative Sequential Patterns of Self-regulated Learners. ITS (2) Amine Boulahmel, Fahima Djelil, Jean-Marie Gilliot, Philippe Leray, Grégory Smits
2024	J	`jnl`	Predicting spotify audio features from Last.fm tags. Multim. Tools Appl. Jaime Ramírez Castillo, M. Julia Flores, Philippe Leray
2023	C	`conf`	An Optimized Quantum Circuit Representation of Bayesian Networks. ECSQARU Walid Fathallah, Nahla Ben Amor, Philippe Leray
2022	B	`conf`	Iterative knowledge discovery for fault detection in manufacturing systems. KES Mahmoud Ferhat, Philippe Leray, Mathieu Ritou, Nicolas Le Du
2021	C	`conf`	Multi-task Transfer Learning for Bayesian Network Structures. ECSQARU Sarah Benikhlef, Philippe Leray, Guillaume Raschia, Montassar Ben Messaoud, Fayrouz Sakly
2021	—	`conf`	Unsupervised Co-training of Bayesian Networks for Condition Prediction. IEA/AIE (2) Mathilde Monvoisin, Philippe Leray, Mathieu Ritou
2020	—	`ch.`	Belief Graphical Models for Uncertainty Representation and Reasoning. A Guided Tour of Artificial Intelligence Research (2) (II) Salem Benferhat, Philippe Leray, Karim Tabia
2020	J	`jnl`	Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks. Artif. Intell. Medicine Vahé Asvatourian, Philippe Leray, Stefan Michiels, Emilie Lanoy
2020	—	`conf`	Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks. PGM Evan Dufraisse, Philippe Leray, Raphaël Nedellec, Tarek Benkhelif
2019	C	`conf`	A Probabilistic Relational Model for Risk Assessment and Spatial Resources Management. IEA/AIE Thierno Kanté, Philippe Leray
2019	C	`conf`	Graphical Event Model Learning and Verification for Security Assessment. IEA/AIE Dimitri Antakly, Benoît Delahaye, Philippe Leray
2019	C	`conf`	Multi-task Transfer Learning for Timescale Graphical Event Models. ECSQARU Mathilde Monvoisin, Philippe Leray
2019	—	`conf`	On Intercausal Interactions in Probabilistic Relational Models. ISIPTA Silja Renooij, Linda C. van der Gaag, Philippe Leray
2018	B	`conf`	Complex Event Processing Under Uncertainty Using Markov Chains, Constraints, and Sampling. RuleML+RR Romain Rincé, Romain Kervarc, Philippe Leray
2018	—	`conf`	DAPER Joint Learning from Partially Structured Graph Databases. ICDEc Marwa El Abri, Philippe Leray, Nadia Essoussi
2018	—	`conf`	Qualitative Probabilistic Relational Models. SUM Linda C. van der Gaag, Philippe Leray
2018	J	`jnl`	Relational Constraints for Metric Learning on Relational Data. CoRR Jiajun Pan, Hoel Le Capitaine, Philippe Leray
2018	B	`conf`	Using Probabilistic Relational Models to generate synthetic spatial or non-spatial databases. RCIS Rajani Chulyadyo, Philippe Leray
2017	—	`conf`	A Probabilistic Relational Model Approach for Fault Tree Modeling. IEA/AIE (2) Thierno Kanté, Philippe Leray
2017	C	`conf`	Customer Relationship Management and Small Data - Application of Bayesian Network Elicitation Techniques for Building a Lead Scoring Model. AICCSA Youssef Benhaddou, Philippe Leray
2017	C	`conf`	Learning Probabilistic Relational Models with (Partially Structured) Graph Databases. AICCSA Marwa El Abri, Philippe Leray, Nadia Essoussi
2017	Misc	`conf`	Learning the Parameters of Possibilistic Networks from Data: Empirical Comparison. FLAIRS Maroua Haddad, Philippe Leray, Amélie Levray, Karim Tabia
2017	—	`conf`	On the Use of WalkSAT Based Algorithms for MLN Inference in Some Realistic Applications. IEA/AIE (2) Romain Rincé, Romain Kervarc, Philippe Leray
2017	C	`conf`	Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data. ECSQARU Maroua Haddad, Philippe Leray, Nahla Ben Amor
2016	B	`conf`	A Hybrid Approach for Probabilistic Relational Models Structure Learning. IDA Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
2016	—	`conf`	An Exact Approach to Learning Probabilistic Relational Model. Probabilistic Graphical Models Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud
2016	J	`jnl`	Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy. CoRR Maroua Haddad, Philippe Leray, Nahla Ben Amor
2016	J	`jnl`	Probabilistic Relational Model Benchmark Generation. CoRR Mouna Ben Ishak, Rajani Chulyadyo, Philippe Leray
2016	J	`jnl`	Probabilistic relational model benchmark generation: Principle and application. Intell. Data Anal. Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
2015	J	`jnl`	Apprentissage des réseaux possibilistes à partir de données. Rev. d'Intelligence Artif. Maroua Haddad, Philippe Leray, Nahla Ben Amor
2015	C	`conf`	CPD Tree Learning Using Contexts as Background Knowledge. ECSQARU Gérard Ramstein, Philippe Leray
2015	C	`conf`	Evaluating Product-Based Possibilistic Networks Learning Algorithms. ECSQARU Maroua Haddad, Philippe Leray, Nahla Ben Amor
2015	B	`conf`	Integrating spatial information into probabilistic relational models. DSAA Rajani Chulyadyo, Philippe Leray
2015	J	`jnl`	Introduction. Rev. d'Intelligence Artif. Philippe Leray, Grégory Nuel
2015	—	`conf`	Latent Forests to Model Genetical Data for the Purpose of Multilocus Genome-Wide Association Studies. Which Clustering Should Be Chosen? BIOSTEC (Selected Papers) Duc-Thanh Phan, Philippe Leray, Christine Sinoquet
2015	—	`conf`	Learning possibilistic networks from data: a survey. IFSA-EUSFLAT Maroua Haddad, Philippe Leray, Nahla Ben Amor
2015	—	`conf`	Modeling Genetical Data with Forests of Latent Trees for Applications in Association Genetics at a Large Scale - Which Clustering Method should Be Chosen?. BIOINFORMATICS Duc-Thanh Phan, Philippe Leray, Christine Sinoquet
2015	B	`conf`	On the equivalence between regularized NMF and similarity-augmented graph partitioning. ESANN Anthony Coutant, Hoel Le Capitaine, Philippe Leray
2015	B	`conf`	Probabilistic Relational Models with clustering uncertainty. IJCNN Anthony Coutant, Philippe Leray, Hoel Le Capitaine
2015	J	`jnl`	SemCaDo: A serendipitous strategy for causal discovery and ontology evolution. Knowl. Based Syst. Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
2014	B	`conf`	A Personalized Recommender System from Probabilistic Relational Model and Users' Preferences. KES Rajani Chulyadyo, Philippe Leray
2014	—	`conf`	A Probabilistic Semantics for Cognitive Maps. ICAART (Revised Selected Papers) Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stéphane Loiseau
2014	J	`jnl`	A Survey on Latent Tree Models and Applications. CoRR Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray
2014	—	`conf`	Advances in Learning with Bayesian Networks. ICAART (1) Philippe Leray
2014	J	`jnl`	Discrete exponential Bayesian networks: Definition, learning and application for density estimation. Neurocomputing Aida Jarraya, Philippe Leray, Afif Masmoudi
2014	J	`jnl`	Implicit parameter estimation for conditional Gaussian Bayesian networks. Int. J. Comput. Intell. Syst. Aida Jarraya, Philippe Leray, Afif Masmoudi
2014	Misc	`conf`	Learning Probabilistic Relational Models Using Non-Negative Matrix Factorization. FLAIRS Anthony Coutant, Philippe Leray, Hoel Le Capitaine
2014	—	`conf`	Probabilistic Cognitive Maps - Semantics of a Cognitive Map when the Values are Assumed to be Probabilities. ICAART (1) Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stéphane Loiseau
2014	B	`conf`	Random Generation and Population of Probabilistic Relational Models and Databases. ICTAI Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
2013	J	`jnl`	A Survey on Latent Tree Models and Applications. J. Artif. Intell. Res. Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray
2013	B	`conf`	Active learning of causal Bayesian networks using ontologies: A case study. IJCNN Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
2013	B	`conf`	Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning. IDA Ghada Trabelsi, Philippe Leray, Mounir Ben Ayed, Adel M. Alimi
2013	J	`jnl`	Editorial: Uncertainty in Artificial Intelligence and Databases. Int. J. Approx. Reason. Salem Benferhat, Philippe Leray
2013	—	`conf`	Imputation of Possibilistic Data for Structural Learning of Directed Acyclic Graphs. WILF Maroua Haddad, Nahla Ben Amor, Philippe Leray
2012	—	`conf`	Discrete Exponential Bayesian Networks Structure Learning for Density Estimation. ICIC (3) Aida Jarraya, Philippe Leray, Afif Masmoudi
2012	—	`conf`	Forests of Latent Tree Models for the Detection of Genetic Associations. BIOINFORMATICS Christine Sinoquet, Raphaël Mourad, Philippe Leray
2012	—	`conf`	Forests of Latent Tree Models to Decipher Genotype-Phenotype Associations. BIOSTEC (Selected Papers) Christine Sinoquet, Raphaël Mourad, Philippe Leray
2012	J	`jnl`	Probabilistic graphical models for genetic association studies. Briefings Bioinform. Raphaël Mourad, Christine Sinoquet, Philippe Leray
2012	—	`conf`	iMMPC: Une approche locale pour l'apprentissage incrémental de la structure des réseaux bayésiens. EGC Amanullah Yasin, Philippe Leray
2011	C	`conf`	A Two-way Approach for Probabilistic Graphical Models Structure Learning and Ontology Enrichment. KEOD Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
2011	J	`jnl`	A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies. BMC Bioinform. Raphaël Mourad, Christine Sinoquet, Philippe Leray
2011	J	`jnl`	Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs. Intell. Data Anal. Karim Tabia, Philippe Leray
2011	B	`conf`	Discrete Exponential Bayesian Networks: An Extension of Bayesian Networks to Discrete Natural Exponential Families. ICTAI Aida Jarraya, Philippe Leray, Afif Masmoudi
2011	—	`conf`	Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. ECML/PKDD (3) François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel
2011	C	`conf`	Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space. ECSQARU Sourour Ammar, Philippe Leray
2011	—	`conf`	Multiple Hypothesis Testing and Quasi Essential Graph for Comparing Two Sets of Bayesian Networks. KES (2) Hoai-Tuong Nguyen, Philippe Leray, Gérard Ramstein
2011	C	`conf`	SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies. ECSQARU Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
2011	B	`conf`	iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning. IDA Amanullah Yasin, Philippe Leray
2010	J	`jnl`	A dynamic Bayesian network to represent discrete duration models. Neurocomputing Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin
2010	—	`conf`	Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability. IPMU (2) Karim Tabia, Philippe Leray
2010	C	`conf`	Handling IDS' Reliability in Alert Correlation - A Bayesian Network-based Model for Handling IDS's Reliability and Controlling Prediction/False Alarm Rate Tradeoffs. SECRYPT Karim Tabia, Philippe Leray
2010	—	`conf`	Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies. COMPSTAT Raphaël Mourad, Christine Sinoquet, Philippe Leray
2010	B	`conf`	Towards sub-quadratic learning of probability density models in the form of mixtures of trees. ESANN François Schnitzler, Philippe Leray, Louis Wehenkel
2009	C	`conf`	Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization. ECSQARU Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
2009	C	`conf`	Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. ECSQARU Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel
2008	—	`ch.`	Causal Graphical Models with Latent Variables: Learning and Inference. Innovations in Bayesian Networks Philippe Leray, Stijn Meganck, Sam Maes, Bernard Manderick
2008	B	`conf`	Reliability Analysis using Graphical Duration Models. ARES Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray
2007	C	`conf`	Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU Stijn Meganck, Philippe Leray, Bernard Manderick
2007	B	`conf`	Generation of Incompliete Test-Data usinng Bayesinan Networks. IJCNN Olivier François, Philippe Leray
2007	—	`conf`	Méthodes statistiques et modèles thermiques compacts. EGC Grégory Mallet, Philippe Leray, Hubert Polaert
2007	J	`jnl`	Éditorial. Rev. d'Intelligence Artif. Philippe Leray
2006	B	`conf`	Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI Stijn Meganck, Philippe Leray, Bernard Manderick
2006	—	`conf`	Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick
2006	—	`conf`	Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets. Probabilistic Graphical Models Olivier François, Philippe Leray
2006	B	`conf`	Multi-Agent Causal Models for Dependability Analysis. ARES Sam Maes, Philippe Leray
2006	—	`book`	Réseaux bayésiens : Apprentissage et diagnostic de systemes complexes. Philippe Leray
2005	C	`conf`	A Learning Algorithm for Multi-Agent Causal Models. EUMAS Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
2005	—	`conf`	Apprentissage de structure des réseaux bayésiens et données incomplètes. EGC Olivier François, Philippe Leray
2005	—	`conf`	Distributed learning of Multi-Agent Causal Models. IAT Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
2005	—	`conf`	Réseaux bayésiens pour le filtrage d'alarmes dans les systèmes de détection d'intrusions. EGC (Ateliers) Ahmad Faour, Philippe Leray, Cédric Foll
2004	J	`jnl`	Clustering And Bayesian Network Approaches For Discovering Handwriting Strategies Of Primary School Children. Int. J. Pattern Recognit. Artif. Intell. Iyad Zaarour, Laurent Heutte, Philippe Leray, Jacques Labiche, Bassam Eter, Daniel Mellier
2004	—	`conf`	Combining classifiers for harmful document filtering. RIAO Bruno Grilhères, Stephan Brunessaux, Philippe Leray
2004	J	`jnl`	Réseaux bayésiens pour la classification Méthodologie et illustration dans le cadre du diagnostic médical. Rev. d'Intelligence Artif. Philippe Leray, Olivier François
2001	J	`jnl`	De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches. Rev. d'Intelligence Artif. Philippe Leray, Patrick Gallinari
1996	C	`conf`	Diagnosis Tools for Telecommunication Network Traffic Management. ICANN Philippe Leray, Patrick Gallinari, Elisabeth Didelet