Pierre-Henri Wuillemin

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 36

Top Topics

Probabilistic Relational Models

Decision Diagrams

Bayesian Networks

Top Venues

FLAIRS Conference

Rev. d'Intelligence Artif.

RuleML+RR (Supplement)

Publications

Clara Charon, Pierre-Henri Wuillemin, Joël Belmin
Improving Pressure Ulcers Prediction in Nursing Homes with ML Algorithm. MIE (2023)
Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin
Interpreting Predictive Models through Causality: A Query-Driven Methodology. FLAIRS (2023)
Bastien Chassagnol, Antoine Bichat, Cheïma Boudjeniba, Pierre-Henri Wuillemin, Mickaël Guedj, David Gohel, Gregory Nuel, Etienne Becht
Gaussian Mixture Models in R. R J. 15 (2) (2023)
Chen Dang, Cristina Bazgan, Tristan Cazenave, Morgan Chopin, Pierre-Henri Wuillemin
Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping. AAAI (2023)
Mélanie Münch, Patrice Buche, Stéphane Dervaux, Juliette Dibie, Liliana Ibanescu, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy
Combining ontology and probabilistic models for the design of bio-based product transformation processes. Expert Syst. Appl. 203 (2022)
Clara Charon, Pierre-Henri Wuillemin, Joël Belmin
Learning Bayesian Networks for the Prediction of Unfavorable Health Events in Nursing Homes. MIE (2022)
Melanie Munch, Patrice Buche, Hélène Angellier-Coussy, Cristina E. Manfredotti, Pierre-Henri Wuillemin
Formalising contextual expert knowledge for causal discovery in linked knowledge graphs about transformation processes: application to processing of bio-composites for food packaging. Int. J. Metadata Semant. Ontologies 16 (1) (2022)
Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
Constraint-based learning for non-parametric continuous bayesian networks. Ann. Math. Artif. Intell. 89 (10-11) (2021)
Nataliya Sokolovska, Pierre-Henri Wuillemin
The Role of Instrumental Variables in Causal Inference Based on Independence of Cause and Mechanism. Entropy 23 (8) (2021)
Chen Dang, Cristina Bazgan, Tristan Cazenave, Morgan Chopin, Pierre-Henri Wuillemin
Monte Carlo Search Algorithms for Network Traffic Engineering. ECML/PKDD (4) (2021)
Mélanie Münch, Patrice Buche, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy
A Process Reverse Engineering Approach Using Process and Observation Ontology and Probabilistic Relational Models: Application to Processing of Bio-composites for Food Packaging. MTSR (2021)
Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks. AAAI (2021)
Gaspard Ducamp, Philippe Bonnard, Anthony Nouy, Pierre-Henri Wuillemin
An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models. PGM (2020)
Gaspard Ducamp, Philippe Bonnard, Christian de Sainte Marie, Pierre-Henri Wuillemin
Advanced Syntax and Compilation for Probabilistic Production Rules with PRM. RuleML+RR (Supplement) (2020)
Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
Constaint-Based Learning for Non-Parametric Continuous Bayesian Networks. FLAIRS Conference (2020)
Nataliya Sokolovska, Pierre-Henri Wuillemin
Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism. CoRR (2020)
Gaspard Ducamp, Philippe Bonnard, Pierre-Henri Wuillemin
Uncertain Reasoning in Rule-Based Systems Using PRM. FLAIRS Conference (2020)
Gaspard Ducamp, Christophe Gonzales, Pierre-Henri Wuillemin
aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python. PGM (2020)
Melanie Munch, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin, Cristina E. Manfredotti
Interactive Causal Discovery in Knowledge Graphs. PROFILES/SEMEX@ISWC (2019)
Melanie Munch, Juliette Dibie, Pierre-Henri Wuillemin, Cristina E. Manfredotti
Towards Interactive Causal Relation Discovery Driven by an Ontology. FLAIRS Conference (2019)
Véronique Delcroix, Pierre-Henri Wuillemin
Introduction. Rev. d'Intelligence Artif. 32 (1) (2018)
Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non stationnaires. Rev. d'Intelligence Artif. 32 (1) (2018)
Gaspard Ducamp, Philippe Bonnard, Christian de Sainte Marie, Christophe Gonzales, Pierre-Henri Wuillemin
Improving Probabilistic Rules Compilation using PRM. RuleML+RR (Supplement) (2018)
Melanie Munch, Pierre-Henri Wuillemin, Juliette Dibie, Cristina E. Manfredotti, Thomas Allard, Solange Buchin, Elisabeth Guichard
Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints. DS (2018)
Miyoung Han, Pierre-Henri Wuillemin, Pierre Senellart
Focused Crawling Through Reinforcement Learning. ICWE (2018)
Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
Inférence incrémentale pour les modèles. Rev. d'Intelligence Artif. 32 (1) (2018)
Melanie Munch, Pierre-Henri Wuillemin, Cristina E. Manfredotti, Juliette Dibie, Stéphane Dervaux
Learning Probabilistic Relational Models Using an Ontology of Transformation Processes. OTM Conferences (2) (2017)
Jean-Christophe Magnan, Pierre-Henri Wuillemin
Efficient incremental planning and learning with multi-valued decision diagrams. J. Appl. Log. 22 (2017)
Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time. FLAIRS Conference (2017)
Lom-Messan Hillah, Ariele-Paolo Maesano, Fabio De Rosa, Fabrice Kordon, Pierre-Henri Wuillemin, Riccardo Fontanelli, Sergio Di Bona, Davide Guerri, Libero Maesano
Automation and intelligent scheduling of distributed system functional testing - Model-based functional testing in practice. Int. J. Softw. Tools Technol. Transf. 19 (3) (2017)
Christophe Gonzales, Lionel Torti, Pierre-Henri Wuillemin
aGrUM: A Graphical Universal Model Framework. IEA/AIE (2) (2017)
Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
Business Rules Uncertainty Management with Probabilistic Relational Models. RuleML (2016)
Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
Incremental Junction Tree Inference. IPMU (1) (2016)
Lom-Messan Hillah, Ariele-Paolo Maesano, Libero Maesano, Fabio De Rosa, Fabrice Kordon, Pierre-Henri Wuillemin
Service functional testing automation with intelligent scheduling and planning. SAC (2016)
Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
Real Time Learning of Non-stationary Processes with Dynamic Bayesian Networks. IPMU (1) (2016)
Cédric Baudrit, Sébastien Destercke, Pierre-Henri Wuillemin
Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval. Inf. Sci. (2016)
Jean-Christophe Magnan, Pierre-Henri Wuillemin
On-Line Learning of Multi-Valued Decision Diagrams. FLAIRS Conference (2015)
Yang Chen, Pierre-Henri Wuillemin, Jean-Marc Labat
Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining. EDM (2015)
Cristina E. Manfredotti, Cédric Baudrit, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin
Mapping Ontology with Probabilistic Relational Models. KEOD (2015)
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, Marc-Florian Wendland, Pierre-Henri Wuillemin
The MIDAS Cloud Platform for Testing SOA Applications. ICST (2015)
Jean-Baptiste Rouquier, Isabelle Alvarez, Romain Reuillon, Pierre-Henri Wuillemin
A kd-tree algorithm to discover the boundary of a black box hypervolume - Or how to peel potatoes by recursively cutting them in halves. Ann. Math. Artif. Intell. 75 (3-4) (2015)
Yang Chen, Pierre-Henri Wuillemin, Jean-Marc Labat
Bayesian Student Modeling Improved by Diagnostic Items. Intelligent Tutoring Systems (2014)
Hamza Agli, Philippe Bonnard, Pierre-Henri Wuillemin, Christophe Gonzales
Uncertain Reasoning for Business Rules. Challenge+DC@RuleML (2014)
Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff
Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example CoRR (2013)
Alberto Paolo Tonda, Evelyne Lutton, Giovanni Squillero, Pierre-Henri Wuillemin
A Memetic Approach to Bayesian Network Structure Learning. EvoApplications (2013)
Jean-Christophe Magnan, Pierre-Henri Wuillemin
Improving Decision Diagrams for Decision Theoretic Planning. FLAIRS Conference (2013)
Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin
Speeding-up structured probabilistic inference using pattern mining. Int. J. Approx. Reason. 54 (7) (2013)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. CoRR (2012)
Pierre-Henri Wuillemin, Lionel Torti
Structured probabilistic inference. Int. J. Approx. Reason. 53 (7) (2012)
Alberto Paolo Tonda, Evelyne Lutton, Romain Reuillon, Giovanni Squillero, Pierre-Henri Wuillemin
Bayesian Network Structure Learning from Limited Datasets through Graph Evolution. EuroGP (2012)
Mariette Sicard, Cédric Baudrit, M. N. Leclerc-Perlat, Pierre-Henri Wuillemin, Nathalie Perrot
Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process. Expert Syst. Appl. 38 (9) (2011)
Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin
Patterns Discovery for Efficient Structured Probabilistic Inference. SUM (2011)
Ettarres Yamna, Khaled Mellouli, Pierre-Henri Wuillemin
A Multicriteria Bayesian Intelligent Tutoring System MBITS. ISDA (2010)
Lionel Torti, Pierre-Henri Wuillemin
Structured Value Elimination with D-Separation Analysis. FLAIRS Conference (2010)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs. Rev. d'Intelligence Artif. 23 (2-3) (2009)
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillemin, Christophe Meyer
Considering Unseen States as Impossible in Factored Reinforcement Learning. ECML/PKDD (1) (2009)
Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin
Bayesian network structure learning using cooperative coevolution. GECCO (2009)
Cédric Baudrit, Pierre-Henri Wuillemin, Mariette Sicard, Nathalie Perrot
A Dynamic Bayesian Network to Represent a Ripening Process of a Soft Mould Cheese. KES (2) (2008)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning. EWRL (2008)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. UAI (2006)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. ICML (2006)
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuillemin
Improving MACS Thanks to a Comparison with 2TBNs. GECCO (2) (2004)
Pierre-Henri Wuillemin, Olav Bangsø
Réseaux Probabilistes Orientés Objet. LMO (2000)
Olav Bangsø, Pierre-Henri Wuillemin
Top-Down Construction and Repetetive Structures Representation in Bayesian Networks. FLAIRS Conference (2000)
Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff
Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example. UAI (2000)