Top-Down Construction and Repetetive Structures Representation in Bayesian Networks. - Olav Bangsø; Pierre-Henri Wuillemin (FLAIRS, 2000)

Réseaux Probabilistes Orientés Objet. - Pierre-Henri Wuillemin; Olav Bangsø (LMO, 2000)

Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example. - Thomas D. Nielsen; Pierre-Henri Wuillemin; Finn Verner Jensen; Uffe Kjærulff (UAI, 2000)

Improving MACS Thanks to a Comparison with 2TBNs. - Olivier Sigaud; Thierry Gourdin; Pierre-Henri Wuillemin (GECCO (2), 2004)

Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. - Thomas Degris; Olivier Sigaud; Pierre-Henri Wuillemin (ICML, 2006)

Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. - Thomas Degris; Olivier Sigaud; Pierre-Henri Wuillemin (UAI, 2006)

Exploiting Additive Structure in Factored MDPs for Reinforcement Learning. - Thomas Degris; Olivier Sigaud; Pierre-Henri Wuillemin (EWRL, 2008)

A Dynamic Bayesian Network to Represent a Ripening Process of a Soft Mould Cheese. - Cédric Baudrit; Pierre-Henri Wuillemin; Mariette Sicard; Nathalie Perrot (KES (2), 2008)

Bayesian network structure learning using cooperative coevolution. - Olivier Barrière; Evelyne Lutton; Pierre-Henri Wuillemin (GECCO, 2009)

Considering Unseen States as Impossible in Factored Reinforcement Learning. - Olga Kozlova; Olivier Sigaud; Pierre-Henri Wuillemin; Christophe Meyer (ECML/PKDD (1), 2009)

Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs. - Thomas Degris; Olivier Sigaud; Pierre-Henri Wuillemin (Rev. d'Intelligence Artif., 2009)

Structured Value Elimination with D-Separation Analysis. - Lionel Torti; Pierre-Henri Wuillemin (FLAIRS, 2010)

A Multicriteria Bayesian Intelligent Tutoring System MBITS. - Ettarres Yamna; Khaled Mellouli; Pierre-Henri Wuillemin (ISDA, 2010)

Patterns Discovery for Efficient Structured Probabilistic Inference. - Lionel Torti; Christophe Gonzales; Pierre-Henri Wuillemin (SUM, 2011)

Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process. - Mariette Sicard; Cédric Baudrit; M. N. Leclerc-Perlat; Pierre-Henri Wuillemin; Nathalie Perrot (Expert Syst. Appl., 2011)

Bayesian Network Structure Learning from Limited Datasets through Graph Evolution. - Alberto Paolo Tonda; Evelyne Lutton; Romain Reuillon; Giovanni Squillero; Pierre-Henri Wuillemin (EuroGP, 2012)

Structured probabilistic inference. - Pierre-Henri Wuillemin; Lionel Torti (Int. J. Approx. Reason., 2012)

A Memetic Approach to Bayesian Network Structure Learning. - Alberto Paolo Tonda; Evelyne Lutton; Giovanni Squillero; Pierre-Henri Wuillemin (EvoApplications, 2013)

Improving Decision Diagrams for Decision Theoretic Planning. - Jean-Christophe Magnan; Pierre-Henri Wuillemin (FLAIRS, 2013)

Speeding-up structured probabilistic inference using pattern mining. - Lionel Torti; Christophe Gonzales; Pierre-Henri Wuillemin (Int. J. Approx. Reason., 2013)

Cooperative Coevolution for Agrifood Process Modeling. - Olivier Barrière; Evelyne Lutton; Pierre-Henri Wuillemin; Cédric Baudrit; Mariette Sicard; Nathalie Perrot (EVOLVE, 2013)

Bayesian Student Modeling Improved by Diagnostic Items. - Yang Chen 012; Pierre-Henri Wuillemin; Jean-Marc Labat (Intelligent Tutoring Systems, 2014)

Uncertain Reasoning for Business Rules. - Hamza Agli; Philippe Bonnard; Pierre-Henri Wuillemin; Christophe Gonzales (Challenge+DC@RuleML, 2014)

Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining. - Yang Chen 012; Pierre-Henri Wuillemin; Jean-Marc Labat (EDM, 2015)

On-Line Learning of Multi-Valued Decision Diagrams. - Jean-Christophe Magnan; Pierre-Henri Wuillemin (FLAIRS, 2015)

Mapping Ontology with Probabilistic Relational Models. - Cristina E. Manfredotti; Cédric Baudrit; Juliette Dibie-Barthélemy; Pierre-Henri Wuillemin (KEOD, 2015)

The MIDAS Cloud Platform for Testing SOA Applications. - Steffen Herbold; Alberto De Francesco; Jens Grabowski; Patrick Harms; Lom-Messan Hillah; Fabrice Kordon; Ariele-Paolo Maesano; Libero Maesano; Claudia Di Napoli; Fabio De Rosa; Martin A. Schneider; Nicola Tonellotto; et al. (ICST, 2015)

A kd-tree algorithm to discover the boundary of a black box hypervolume - Or how to peel potatoes by recursively cutting them in halves. - Jean-Baptiste Rouquier; Isabelle Alvarez; Romain Reuillon; Pierre-Henri Wuillemin (Ann. Math. Artif. Intell., 2015)

Incremental Junction Tree Inference. - Hamza Agli; Philippe Bonnard; Christophe Gonzales; Pierre-Henri Wuillemin (IPMU (1), 2016)

Real Time Learning of Non-stationary Processes with Dynamic Bayesian Networks. - Matthieu Hourbracq; Pierre-Henri Wuillemin; Christophe Gonzales; Philippe Baumard (IPMU (1), 2016)

Business Rules Uncertainty Management with Probabilistic Relational Models. - Hamza Agli; Philippe Bonnard; Christophe Gonzales; Pierre-Henri Wuillemin (RuleML, 2016)

Service functional testing automation with intelligent scheduling and planning. - Lom-Messan Hillah; Ariele-Paolo Maesano; Libero Maesano; Fabio De Rosa; Fabrice Kordon; Pierre-Henri Wuillemin (SAC, 2016)

Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval. - Cédric Baudrit; Sébastien Destercke; Pierre-Henri Wuillemin (Inf. Sci., 2016)

Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time. - Matthieu Hourbracq; Pierre-Henri Wuillemin; Christophe Gonzales; Philippe Baumard (FLAIRS, 2017)

aGrUM: A Graphical Universal Model Framework. - Christophe Gonzales; Lionel Torti; Pierre-Henri Wuillemin (IEA/AIE (2), 2017)

Learning Probabilistic Relational Models Using an Ontology of Transformation Processes. - Melanie Munch; Pierre-Henri Wuillemin; Cristina E. Manfredotti; Juliette Dibie; Stéphane Dervaux (OTM Conferences (2), 2017)

Efficient incremental planning and learning with multi-valued decision diagrams. - Jean-Christophe Magnan; Pierre-Henri Wuillemin (J. Appl. Log., 2017)

Automation and intelligent scheduling of distributed system functional testing - Model-based functional testing in practice. - Lom-Messan Hillah; Ariele-Paolo Maesano; Fabio De Rosa; Fabrice Kordon; Pierre-Henri Wuillemin; Riccardo Fontanelli; Sergio Di Bona; Davide Guerri; Libero Maesano (Int. J. Softw. Tools Technol. Transf., 2017)

Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints. - Melanie Munch; Pierre-Henri Wuillemin; Juliette Dibie; Cristina E. Manfredotti; Thomas Allard; Solange Buchin; Elisabeth Guichard (DS, 2018)

Focused Crawling Through Reinforcement Learning. - Miyoung Han; Pierre-Henri Wuillemin; Pierre Senellart (ICWE, 2018)

Improving Probabilistic Rules Compilation using PRM. - Gaspard Ducamp; Philippe Bonnard; Christian de Sainte Marie; Christophe Gonzales; Pierre-Henri Wuillemin (RuleML+RR (Supplement), 2018)

Inférence incrémentale pour les modèles. - Hamza Agli; Philippe Bonnard; Christophe Gonzales; Pierre-Henri Wuillemin (Rev. d'Intelligence Artif., 2018)

Introduction. - Véronique Delcroix; Pierre-Henri Wuillemin (Rev. d'Intelligence Artif., 2018)

Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non stationnaires. - Matthieu Hourbracq; Pierre-Henri Wuillemin; Christophe Gonzales; Philippe Baumard (Rev. d'Intelligence Artif., 2018)

Towards Interactive Causal Relation Discovery Driven by an Ontology. - Melanie Munch; Juliette Dibie; Pierre-Henri Wuillemin; Cristina E. Manfredotti (FLAIRS, 2019)

Interactive Causal Discovery in Knowledge Graphs. - Melanie Munch; Juliette Dibie-Barthélemy; Pierre-Henri Wuillemin; Cristina E. Manfredotti (PROFILES/SEMEX@ISWC, 2019)

Uncertain Reasoning in Rule-Based Systems Using PRM. - Gaspard Ducamp; Philippe Bonnard; Pierre-Henri Wuillemin (FLAIRS, 2020)

Constaint-Based Learning for Non-Parametric Continuous Bayesian Networks. - Marvin Lasserre; Régis Lebrun; Pierre-Henri Wuillemin (FLAIRS, 2020)

An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models. - Gaspard Ducamp; Philippe Bonnard; Anthony Nouy; Pierre-Henri Wuillemin (PGM, 2020)

aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python. - Gaspard Ducamp; Christophe Gonzales; Pierre-Henri Wuillemin (PGM, 2020)

Advanced Syntax and Compilation for Probabilistic Production Rules with PRM. - Gaspard Ducamp; Philippe Bonnard; Christian de Sainte Marie; Pierre-Henri Wuillemin (RuleML+RR (Supplement), 2020)

Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism. - Nataliya Sokolovska; Pierre-Henri Wuillemin (CoRR, 2020)

Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks. - Marvin Lasserre; Régis Lebrun; Pierre-Henri Wuillemin (AAAI, 2021)

A Process Reverse Engineering Approach Using Process and Observation Ontology and Probabilistic Relational Models: Application to Processing of Bio-composites for Food Packaging. - Mélanie Münch; Patrice Buche; Cristina E. Manfredotti; Pierre-Henri Wuillemin; Hélène Angellier-Coussy (MTSR, 2021)

Monte Carlo Search Algorithms for Network Traffic Engineering. - Chen Dang; Cristina Bazgan; Tristan Cazenave; Morgan Chopin; Pierre-Henri Wuillemin (ECML/PKDD (4), 2021)

Constraint-based learning for non-parametric continuous bayesian networks. - Marvin Lasserre; Régis Lebrun; Pierre-Henri Wuillemin (Ann. Math. Artif. Intell., 2021)

The Role of Instrumental Variables in Causal Inference Based on Independence of Cause and Mechanism. - Nataliya Sokolovska; Pierre-Henri Wuillemin (Entropy, 2021)

Learning Bayesian Networks for the Prediction of Unfavorable Health Events in Nursing Homes. - Clara Charon; Pierre-Henri Wuillemin; Joël Belmin (MIE, 2022)

Combining ontology and probabilistic models for the design of bio-based product transformation processes. - Mélanie Münch; Patrice Buche; Stéphane Dervaux; Juliette Dibie; Liliana Ibanescu; Cristina E. Manfredotti; Pierre-Henri Wuillemin; Hélène Angellier-Coussy (Expert Syst. Appl., 2022)

Formalising contextual expert knowledge for causal discovery in linked knowledge graphs about transformation processes: application to processing of bio-composites for food packaging. - Melanie Munch; Patrice Buche; Hélène Angellier-Coussy; Cristina E. Manfredotti; Pierre-Henri Wuillemin (Int. J. Metadata Semant. Ontologies, 2022)

Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping. - Chen Dang; Cristina Bazgan; Tristan Cazenave; Morgan Chopin; Pierre-Henri Wuillemin (AAAI, 2023)

Interpreting Predictive Models through Causality: A Query-Driven Methodology. - Mahdi Hadj Ali; Yann Le Biannic; Pierre-Henri Wuillemin (FLAIRS, 2023)

Improving Pressure Ulcers Prediction in Nursing Homes with ML Algorithm. - Clara Charon; Pierre-Henri Wuillemin; Joël Belmin (MIE, 2023)

Gaussian Mixture Models in R. - Bastien Chassagnol; Antoine Bichat; Cheïma Boudjeniba; Pierre-Henri Wuillemin; Mickaël Guedj; David Gohel; Grégory Nuel; Etienne Becht (R J., 2023)

Quantifying a Causal Effect from a CPDAG with Targeted Exogenous Causal Knowledge. - Mahdi Hadj Ali; Yann Le Biannic; Pierre-Henri Wuillemin (ECAI, 2024)

Reliable Estimation of Causal Effects Using Predictive Models. - Mahdi Hadj Ali; Yann Le Biannic; Pierre-Henri Wuillemin (Int. J. Artif. Intell. Tools, 2024)