Pierre-Henri Wuillemin
Orcid: 0000-0003-3691-4886
According to our database1,
Pierre-Henri Wuillemin
authored at least 64 papers
between 2000 and 2023.
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Bibliography
2023
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
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, 2022
Combining ontology and probabilistic models for the design of bio-based product transformation processes.
Expert Syst. Appl., 2022
Learning Bayesian Networks for the Prediction of Unfavorable Health Events in Nursing Homes.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
2021
The Role of Instrumental Variables in Causal Inference Based on Independence of Cause and Mechanism.
Entropy, 2021
Ann. Math. Artif. Intell., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
A Process Reverse Engineering Approach Using Process and Observation Ontology and Probabilistic Relational Models: Application to Processing of Bio-composites for Food Packaging.
Proceedings of the Metadata and Semantic Research - 15th International Conference, 2021
Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism.
CoRR, 2020
Proceedings of the 14th International Rule Challenge, 4th Doctoral Consortium, and 6th Industry Track @ RuleML+RR 2020 co-located with 16th Reasoning Web Summer School (RW 2020) 12th DecisionCAMP 2020 as part of Declarative AI 2020, Oslo, Norway (virtual due to Covid-19 pandemic), 29 June, 2020
aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
2019
Proceedings of the Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019
2018
Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non stationnaires.
Rev. d'Intelligence Artif., 2018
Proceedings of the Doctoral Consortium and Challenge @ RuleML+RR 2018 hosted by 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018), 2018
Proceedings of the Web Engineering - 18th International Conference, 2018
Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints.
Proceedings of the Discovery Science - 21st International Conference, 2018
2017
Automation and intelligent scheduling of distributed system functional testing - Model-based functional testing in practice.
Int. J. Softw. Tools Technol. Transf., 2017
J. Appl. Log., 2017
Learning Probabilistic Relational Models Using an Ontology of Transformation Processes.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Learning and Selection of Dynamic Bayesian Networks for Non-Stationary Processes in Real Time.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
2016
Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval.
Inf. Sci., 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the Rule Technologies. Research, Tools, and Applications, 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
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.
Ann. Math. Artif. Intell., 2015
Proceedings of the 8th IEEE International Conference on Software Testing, 2015
Proceedings of the KEOD 2015, 2015
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining.
Proceedings of the 8th International Conference on Educational Data Mining, 2015
2014
Proceedings of the RuleML 2014 Challenge and the RuleML 2014 Doctoral Consortium hosted by the 8th International Web Rule Symposium, 2014
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014
2013
Proceedings of the EVOLVE, 2013
Int. J. Approx. Reason., 2013
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
2012
Proceedings of the Genetic Programming - 15th European Conference, 2012
2011
Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process.
Expert Syst. Appl., 2011
Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011
2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
2009
Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs.
Rev. d'Intelligence Artif., 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
2006
Proceedings of the UAI '06, 2006
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems.
Proceedings of the Machine Learning, 2006
2004
Proceedings of the Genetic and Evolutionary Computation, 2004
2000
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
Réseaux Probabilistes Orientés Objet.
Proceedings of the Actes des journées Langages et Modèles à Objets, 2000
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000