Towards interactive causal relation discovery driven by an ontology M Munch, J Dibie, PH Wuillemin, C Manfredotti The Thirty-Second International Flairs Conference, 2019 | 21 | 2019 |
Learning probabilistic relational models using an ontology of transformation processes M Munch, PH Wuillemin, C Manfredotti, J Dibie, S Dervaux On the Move to Meaningful Internet Systems. OTM 2017 Conferences …, 2017 | 19 | 2017 |
Interactive causal discovery in knowledge graphs M Munch, J Dibie-Barthelemy, PH Wuillemin, C Manfredotti PROFILES/SEMEX@ ISWC 2019 2465, 78-93, 2019 | 16 | 2019 |
Combining ontology and probabilistic models for the design of bio-based product transformation processes M Munch, P Buche, S Dervaux, J Dibie, L Ibanescu, C Manfredotti, ... Expert Systems with Applications 203, 117406, 2022 | 8 | 2022 |
Composition-based statistical model for predicting CO2 solubility in modified atmosphere packaging application M Münch, V Guillard, S Gaucel, S Destercke, J Thévenot, P Buche Journal of Food Engineering 340, 111283, 2023 | 7 | 2023 |
A process reverse engineering approach using Process and Observation Ontology and Probabilistic Relational Models: Application to processing of bio-composites for food packaging M Münch, P Buche, C Manfredotti, PH Wuillemin, H Angellier-Coussy Research Conference on Metadata and Semantics Research, 3-15, 2021 | 6 | 2021 |
Identifying control parameters in cheese fabrication process using precedence constraints M Munch, PH Wuillemin, J Dibie, C Manfredotti, T Allard, S Buchin, ... Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus …, 2018 | 4 | 2018 |
Biocomposites from poly (3-hydroxybutyrate-co-3-hydroxyvalerate) and lignocellulosic fillers: Processes stored in data warehouse structured by an ontology M Munch, P Buche, S Dervaux, A Breysse, MA Berthet, G David, S Lammi, ... Data in Brief 42, 108191, 2022 | 3 | 2022 |
CO2 solubility and composition data of food products stored in data warehouse structured by an ontology M Munch, P Buche, L Menut, J Cufi, V Guillard Data in Brief 47, 108950, 2023 | 2 | 2023 |
Formalising contextual expert knowledge for causal discovery in linked knowledge graphs about transformation processes: application to processing of bio-composites for food … M Munch, P Buche, H Angellier-Coussy, C Manfredotti, PH Wuillemin International Journal of Metadata, Semantics and Ontologies 16 (1), 1-15, 2022 | 1 | 2022 |
Diagnosis based on sensory data: Application to wheat grading quality M Munch, C Baudrit, H Chiron, B Méléard, L Saulnier, K Kansou Innovative Food Science & Emerging Technologies 96, 103771, 2024 | | 2024 |
Grounding Causality in Bayesian Networks Using Qualitative Reasoning M Munch, K Kansou, B Bredeweg, C Baudrit, PH Wuillemin QR@ ECAI23, 2023 | | 2023 |
DOCaMEx, a web-based educational and decision support tool that offers a new way of structuring knowledge based on concept maps and technological reasoning trees C Baudrit, P Buche, J Couteaux, J Cufi, C Fernandez, M Munch ICEF 14-International Congress on Engineering and Food, 607, 2023 | | 2023 |
Conception d'un Outil de Diagnostic: Application à l'Essai de Panification en Industrie Boulangère M Munch, C Baudrit, K Kansou, C Fernandez JFRB 2023: 11èmes Journées Francophones sur les Réseaux Bayésiens et les …, 2023 | | 2023 |
Identifier et reconnaitre des essences de bois à l’aide d’un réseau Bayésien basé sur des indicateurs macroscopiques C Baudrit, F Michaud, C Fernandez, M Munch, ESB LIMBHA 33es Journées francophones d’Ingénierie des Connaissances, 112, 2022 | | 2022 |
Une approche d'ingénierie inverse combinant ontologies et modèles relationnels probabilistes: application aux emballages bio-composites M Munch, P Buche, C Manfredotti, PH Wuillemin, H Angellier-Coussy IC@ PFIA 2022-Plate-Forme Intelligence Artificielle, 2022 | | 2022 |
An ontology-based pipeline to support the design of technical itineraries: application to composite food packaging M Munch, P Buche, C Manfredotti, L Ibanescu IFOW 2021 Integrated Food Ontology Workshop, 2021 | | 2021 |
Improving uncertain reasoning combining probabilistic relational models and expert knowledge M Munch Université Paris-Saclay, 2020 | | 2020 |
Apprentissage de modèles relationnels probabilistes à partir d’ontologies de procédé de transformation M MUNCH JFRB 2018, 77, 0 | | |