| 2024 | ITS | Mining Discriminative Sequential Patterns of Self-regulated Learners. | Amine Boulahmel, Fahima Djelil, Jean-Marie Gilliot, Philippe Leray, Grgory Smits |
| 2023 | ECSQARU | An Optimized Quantum Circuit Representation of Bayesian Networks. | Walid Fathallah, Nahla Ben Amor, Philippe Leray |
| 2022 | KES | Iterative knowledge discovery for fault detection in manufacturing systems. | Mahmoud Ferhat, Philippe Leray, Mathieu Ritou, Nicolas Le Du |
| 2021 | ECSQARU | Multi-task Transfer Learning for Bayesian Network Structures. | Sarah Benikhlef, Philippe Leray, Guillaume Raschia, Montassar Ben Messaoud, Fayrouz Sakly |
| 2019 | ECSQARU | Multi-task Transfer Learning for Timescale Graphical Event Models. | Mathilde Monvoisin, Philippe Leray |
| 2018 | RCIS | Using Probabilistic Relational Models to generate synthetic spatial or non-spatial databases. | Rajani Chulyadyo, Philippe Leray |
| 2017 | AICCSA | Learning Probabilistic Relational Models with (Partially Structured) Graph Databases. | Marwa El Abri, Philippe Leray, Nadia Essoussi |
| 2017 | AICCSA | Customer Relationship Management and Small Data - Application of Bayesian Network Elicitation Techniques for Building a Lead Scoring Model. | Youssef Benhaddou, Philippe Leray |
| 2017 | ECSQARU | Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data. | Maroua Haddad, Philippe Leray, Nahla Ben Amor |
| 2017 | FlAIRS | Learning the Parameters of Possibilistic Networks from Data: Empirical Comparison. | Maroua Haddad, Philippe Leray, Amlie Levray, Karim Tabia |
| 2016 | IDA | A Hybrid Approach for Probabilistic Relational Models Structure Learning. | Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor |
| 2015 | DSAA | Integrating spatial information into probabilistic relational models. | Rajani Chulyadyo, Philippe Leray |
| 2015 | ECSQARU | Evaluating Product-Based Possibilistic Networks Learning Algorithms. | Maroua Haddad, Philippe Leray, Nahla Ben Amor |
| 2015 | ECSQARU | CPD Tree Learning Using Contexts as Background Knowledge. | Grard Ramstein, Philippe Leray |
| 2015 | ESANN | On the equivalence between regularized NMF and similarity-augmented graph partitioning. | Anthony Coutant, Hoel Le Capitaine, Philippe Leray |
| 2015 | EUSFLAT | Learning possibilistic networks from data: a survey. | Maroua Haddad, Philippe Leray, Nahla Ben Amor |
| 2015 | IJCNN | Probabilistic Relational Models with clustering uncertainty. | Anthony Coutant, Philippe Leray, Hoel Le Capitaine |
| 2014 | FlAIRS | Learning Probabilistic Relational Models Using Non-Negative Matrix Factorization. | Anthony Coutant, Philippe Leray, Hoel Le Capitaine |
| 2014 | ICAART | Probabilistic Cognitive Maps - Semantics of a Cognitive Map when the Values are Assumed to be Probabilities. | Aymeric Le Dorze, Batrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stphane Loiseau |
| 2014 | ICAART | A Probabilistic Semantics for Cognitive Maps. | Aymeric Le Dorze, Batrice Duval, Laurent Garcia, David Genest, Philippe Leray, Stphane Loiseau |
| 2014 | ICAART | Advances in Learning with Bayesian Networks. | Philippe Leray |
| 2014 | ICTAI | Random Generation and Population of Probabilistic Relational Models and Databases. | Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor |
| 2014 | KES | A Personalized Recommender System from Probabilistic Relational Model and Users' Preferences. | Rajani Chulyadyo, Philippe Leray |
| 2013 | IJCNN | Active learning of causal Bayesian networks using ontologies: A case study. | Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor |
| 2013 | IDA | Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning. | Ghada Trabelsi, Philippe Leray, Mounir Ben Ayed, Adel M. Alimi |
| 2011 | ECSQARU | Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space. | Sourour Ammar, Philippe Leray |
| 2011 | ECSQARU | SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies. | Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor |
| 2011 | IC3K | A Two-way Approach for Probabilistic Graphical Models Structure Learning and Ontology Enrichment. | Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor |
| 2011 | ICTAI | Discrete Exponential Bayesian Networks: An Extension of Bayesian Networks to Discrete Natural Exponential Families. | Aida Jarraya, Philippe Leray, Afif Masmoudi |
| 2011 | IDA | iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning. | Amanullah Yasin, Philippe Leray |
| 2011 | KES | Multiple Hypothesis Testing and Quasi Essential Graph for Comparing Two Sets of Bayesian Networks. | Hoai-Tuong Nguyen, Philippe Leray, Grard Ramstein |
| 2010 | ESANN | Towards sub-quadratic learning of probability density models in the form of mixtures of trees. | Franois Schnitzler, Philippe Leray, Louis Wehenkel |
| 2010 | IPMU | Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability. | Karim Tabia, Philippe Leray |
| 2010 | SECRYPT | Handling IDS' Reliability in Alert Correlation - A Bayesian Network-based Model for Handling IDS's Reliability and Controlling Prediction/False Alarm Rate Tradeoffs. | Karim Tabia, Philippe Leray |
| 2009 | ECSQARU | Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. | Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel |
| 2009 | ECSQARU | Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization. | Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor |
| 2007 | ECSQARU | Causal Graphical Models with Latent Variables: Learning and Inference. | Stijn Meganck, Philippe Leray, Bernard Manderick |
| 2007 | IJCNN | Generation of Incompliete Test-Data usinng Bayesinan Networks. | Olivier Franois, Philippe Leray |
| 2006 | MDAI | Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. | Stijn Meganck, Philippe Leray, Bernard Manderick |
| 2005 | EUMAS | A Learning Algorithm for Multi-Agent Causal Models. | Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray |
| 1996 | ICANN | Diagnosis Tools for Telecommunication Network Traffic Management. | Philippe Leray, Patrick Gallinari, Elisabeth Didelet |