Pierre-Henri Wuillemin

69 papers A* 3A 5B 6C 2Misc 10Journal 20Unranked 22

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Quantifying a Causal Effect from a CPDAG with Targeted Exogenous Causal Knowledge. ECAI Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin
2024	J	`jnl`	Reliable Estimation of Causal Effects Using Predictive Models. Int. J. Artif. Intell. Tools Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin
2023	J	`jnl`	Gaussian Mixture Models in R. R J. Bastien Chassagnol, Antoine Bichat, Cheïma Boudjeniba, Pierre-Henri Wuillemin, Mickaël Guedj, David Gohel, Grégory Nuel, Etienne Becht
2023	—	`conf`	Improving Pressure Ulcers Prediction in Nursing Homes with ML Algorithm. MIE Clara Charon, Pierre-Henri Wuillemin, Joël Belmin
2023	Misc	`conf`	Interpreting Predictive Models through Causality: A Query-Driven Methodology. FLAIRS Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin
2023	A*	`conf`	Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping. AAAI Chen Dang, Cristina Bazgan, Tristan Cazenave, Morgan Chopin, Pierre-Henri Wuillemin
2022	J	`jnl`	Combining ontology and probabilistic models for the design of bio-based product transformation processes. Expert Syst. Appl. Mélanie Münch, Patrice Buche, Stéphane Dervaux, Juliette Dibie, Liliana Ibanescu, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy
2022	J	`jnl`	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 Melanie Munch, Patrice Buche, Hélène Angellier-Coussy, Cristina E. Manfredotti, Pierre-Henri Wuillemin
2022	—	`conf`	Learning Bayesian Networks for the Prediction of Unfavorable Health Events in Nursing Homes. MIE Clara Charon, Pierre-Henri Wuillemin, Joël Belmin
2022	—	`conf`	Une approche d'ingénierie inverse combinant ontologies et modèles relationnels probabilistes: application aux emballages bio-composites. IC Melanie Munch, Patrice Buche, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy
2021	—	`conf`	A Process Reverse Engineering Approach Using Process and Observation Ontology and Probabilistic Relational Models: Application to Processing of Bio-composites for Food Packaging. MTSR Mélanie Münch, Patrice Buche, Cristina E. Manfredotti, Pierre-Henri Wuillemin, Hélène Angellier-Coussy
2021	J	`jnl`	Constraint-based learning for non-parametric continuous bayesian networks. Ann. Math. Artif. Intell. Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
2021	A*	`conf`	Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks. AAAI Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
2021	—	`conf`	Monte Carlo Search Algorithms for Network Traffic Engineering. ECML/PKDD (4) Chen Dang, Cristina Bazgan, Tristan Cazenave, Morgan Chopin, Pierre-Henri Wuillemin
2021	J	`jnl`	The Role of Instrumental Variables in Causal Inference Based on Independence of Cause and Mechanism. Entropy Nataliya Sokolovska, Pierre-Henri Wuillemin
2020	—	`conf`	Advanced Syntax and Compilation for Probabilistic Production Rules with PRM. RuleML+RR (Supplement) Gaspard Ducamp, Philippe Bonnard, Christian de Sainte Marie, Pierre-Henri Wuillemin
2020	—	`conf`	An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models. PGM Gaspard Ducamp, Philippe Bonnard, Anthony Nouy, Pierre-Henri Wuillemin
2020	Misc	`conf`	Constaint-Based Learning for Non-Parametric Continuous Bayesian Networks. FLAIRS Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
2020	J	`jnl`	Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism. CoRR Nataliya Sokolovska, Pierre-Henri Wuillemin
2020	Misc	`conf`	Uncertain Reasoning in Rule-Based Systems Using PRM. FLAIRS Gaspard Ducamp, Philippe Bonnard, Pierre-Henri Wuillemin
2020	—	`conf`	aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python. PGM Gaspard Ducamp, Christophe Gonzales, Pierre-Henri Wuillemin
2019	—	`conf`	Interactive Causal Discovery in Knowledge Graphs. PROFILES/SEMEX@ISWC Melanie Munch, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin, Cristina E. Manfredotti
2019	Misc	`conf`	Towards Interactive Causal Relation Discovery Driven by an Ontology. FLAIRS Melanie Munch, Juliette Dibie, Pierre-Henri Wuillemin, Cristina E. Manfredotti
2018	J	`jnl`	Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non stationnaires. Rev. d'Intelligence Artif. Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
2018	B	`conf`	Focused Crawling Through Reinforcement Learning. ICWE Miyoung Han, Pierre-Henri Wuillemin, Pierre Senellart
2018	B	`conf`	Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints. DS Melanie Munch, Pierre-Henri Wuillemin, Juliette Dibie, Cristina E. Manfredotti, Thomas Allard, Solange Buchin, Elisabeth Guichard
2018	—	`conf`	Improving Probabilistic Rules Compilation using PRM. RuleML+RR (Supplement) Gaspard Ducamp, Philippe Bonnard, Christian de Sainte Marie, Christophe Gonzales, Pierre-Henri Wuillemin
2018	J	`jnl`	Inférence incrémentale pour les modèles. Rev. d'Intelligence Artif. Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
2018	J	`jnl`	Introduction. Rev. d'Intelligence Artif. Véronique Delcroix, Pierre-Henri Wuillemin
2017	J	`jnl`	Automation and intelligent scheduling of distributed system functional testing - Model-based functional testing in practice. Int. J. Softw. Tools Technol. Transf. Lom-Messan Hillah, Ariele-Paolo Maesano, Fabio De Rosa, Fabrice Kordon, Pierre-Henri Wuillemin, Riccardo Fontanelli, Sergio Di Bona, Davide Guerri, Libero Maesano
2017	J	`jnl`	Efficient incremental planning and learning with multi-valued decision diagrams. J. Appl. Log. Jean-Christophe Magnan, Pierre-Henri Wuillemin
2017	—	`conf`	Learning Probabilistic Relational Models Using an Ontology of Transformation Processes. OTM Conferences (2) Melanie Munch, Pierre-Henri Wuillemin, Cristina E. Manfredotti, Juliette Dibie, Stéphane Dervaux
2017	Misc	`conf`	Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time. FLAIRS Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
2017	—	`conf`	aGrUM: A Graphical Universal Model Framework. IEA/AIE (2) Christophe Gonzales, Lionel Torti, Pierre-Henri Wuillemin
2016	—	`conf`	Business Rules Uncertainty Management with Probabilistic Relational Models. RuleML Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
2016	—	`conf`	Incremental Junction Tree Inference. IPMU (1) Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
2016	—	`conf`	Real Time Learning of Non-stationary Processes with Dynamic Bayesian Networks. IPMU (1) Matthieu Hourbracq, Pierre-Henri Wuillemin, Christophe Gonzales, Philippe Baumard
2016	Misc	`conf`	Service functional testing automation with intelligent scheduling and planning. SAC Lom-Messan Hillah, Ariele-Paolo Maesano, Libero Maesano, Fabio De Rosa, Fabrice Kordon, Pierre-Henri Wuillemin
2016	J	`jnl`	Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval. Inf. Sci. Cédric Baudrit, Sébastien Destercke, Pierre-Henri Wuillemin
2015	J	`jnl`	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. Jean-Baptiste Rouquier, Isabelle Alvarez, Romain Reuillon, Pierre-Henri Wuillemin
2015	B	`conf`	Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining. EDM Yang Chen, Pierre-Henri Wuillemin, Jean-Marc Labat
2015	C	`conf`	Mapping Ontology with Probabilistic Relational Models. KEOD Cristina E. Manfredotti, Cédric Baudrit, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin
2015	Misc	`conf`	On-Line Learning of Multi-Valued Decision Diagrams. FLAIRS Jean-Christophe Magnan, Pierre-Henri Wuillemin
2015	A	`conf`	The MIDAS Cloud Platform for Testing SOA Applications. ICST 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
2014	B	`conf`	Bayesian Student Modeling Improved by Diagnostic Items. Intelligent Tutoring Systems Yang Chen, Pierre-Henri Wuillemin, Jean-Marc Labat
2014	—	`conf`	Uncertain Reasoning for Business Rules. Challenge+DC@RuleML Hamza Agli, Philippe Bonnard, Pierre-Henri Wuillemin, Christophe Gonzales
2013	B	`conf`	A Memetic Approach to Bayesian Network Structure Learning. EvoApplications Alberto Paolo Tonda, Evelyne Lutton, Giovanni Squillero, Pierre-Henri Wuillemin
2013	—	`ch.`	Cooperative Coevolution for Agrifood Process Modeling. EVOLVE Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin, Cédric Baudrit, Mariette Sicard, Nathalie Perrot
2013	Misc	`conf`	Improving Decision Diagrams for Decision Theoretic Planning. FLAIRS Jean-Christophe Magnan, Pierre-Henri Wuillemin
2013	J	`jnl`	Speeding-up structured probabilistic inference using pattern mining. Int. J. Approx. Reason. Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin
2013	J	`jnl`	Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example CoRR Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff
2012	B	`conf`	Bayesian Network Structure Learning from Limited Datasets through Graph Evolution. EuroGP Alberto Paolo Tonda, Evelyne Lutton, Romain Reuillon, Giovanni Squillero, Pierre-Henri Wuillemin
2012	J	`jnl`	Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. CoRR Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2012	J	`jnl`	Structured probabilistic inference. Int. J. Approx. Reason. Pierre-Henri Wuillemin, Lionel Torti
2011	J	`jnl`	Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process. Expert Syst. Appl. Mariette Sicard, Cédric Baudrit, M. N. Leclerc-Perlat, Pierre-Henri Wuillemin, Nathalie Perrot
2011	—	`conf`	Patterns Discovery for Efficient Structured Probabilistic Inference. SUM Lionel Torti, Christophe Gonzales, Pierre-Henri Wuillemin
2010	C	`conf`	A Multicriteria Bayesian Intelligent Tutoring System MBITS. ISDA Ettarres Yamna, Khaled Mellouli, Pierre-Henri Wuillemin
2010	Misc	`conf`	Structured Value Elimination with D-Separation Analysis. FLAIRS Lionel Torti, Pierre-Henri Wuillemin
2009	J	`jnl`	Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs. Rev. d'Intelligence Artif. Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2009	A	`conf`	Bayesian network structure learning using cooperative coevolution. GECCO Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin
2009	—	`conf`	Considering Unseen States as Impossible in Factored Reinforcement Learning. ECML/PKDD (1) Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillemin, Christophe Meyer
2008	—	`conf`	A Dynamic Bayesian Network to Represent a Ripening Process of a Soft Mould Cheese. KES (2) Cédric Baudrit, Pierre-Henri Wuillemin, Mariette Sicard, Nathalie Perrot
2008	—	`conf`	Exploiting Additive Structure in Factored MDPs for Reinforcement Learning. EWRL Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2006	A	`conf`	Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. UAI Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2006	A*	`conf`	Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. ICML Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2004	—	`conf`	Improving MACS Thanks to a Comparison with 2TBNs. GECCO (2) Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuillemin
2000	—	`conf`	Réseaux Probabilistes Orientés Objet. LMO Pierre-Henri Wuillemin, Olav Bangsø
2000	Misc	`conf`	Top-Down Construction and Repetetive Structures Representation in Bayesian Networks. FLAIRS Olav Bangsø, Pierre-Henri Wuillemin
2000	A	`conf`	Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example. UAI Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff