2015-2022 Publications

• 2022
  • M. Munch, P. Buche, S. Dervaux, J. Dibie, L. Ibanescu, C. Manfredotti, P.‑H. Wuillemin, H. Angellier‑Coussy : “Combining ontology and probabilistic models for the design of bio-based product transformation processes”, Expert Systems with Applications, vol. 203, pp. 117406, (Elsevier) (2022)
  • M. Munch, P. Buche, C. Manfredotti, P.‑H. Wuillemin, H. 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: Metadata and Semantic Research, vol. 1537, Communications in Computer and Information Science, Madrid, Spain, pp. 3-15, (Springer) (2022)
  • M. Munch, P. Buche, H. Angellier‑Coussy, C. Manfredotti, P.‑H. Wuillemin : “Formalising contextual expert knowledge for causal discovery in linked knowledge graphs about transformation processes: application to processing of bio-composites for food packaging”, International Journal of Metadata, Semantics and Ontologies, vol. 16 (1), pp. 1-15, (Inderscience) (2022)
  • M. Munch, P. Buche, C. Manfredotti, P.‑H. Wuillemin, H. Angellier‑Coussy : “Une approche d’ingénierie inverse combinant ontologies et modèles relationnels probabilistes: application aux emballages bio-composites”, IC@PFIA 2022 - Plate-Forme Intelligence Artificielle, Ingénierie des connaissances, Saint-Etienne, France (2022)
• 2021
  • C. Manfredotti, P. Viappiani : “A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty”, The 18^th International Conference on Modeling Decisions for Artificial Intelligence, vol. LNAI, Modeling Decisions for Artificial Intelligence, Umea (Online), Sweden, (Springer) (2021)
• 2020
  • M. Caillat, N. Darcel, C. Manfredotti, P. Viappiani : “Bayesian Vote Elicitation for Group Recommendations”, From Multiple Criteria Decision Aid to Preference Learning (DA2PL 2020), Trento, Italy (2020)
• 2019
  • M. Munch, J. Dibie‑Barthelemy, P.‑H. Wuillemin, C. Manfredotti : “Interactive Causal Discovery in Knowledge Graphs”, PROFILES/SEMEX@ISWC 2019, vol. 2465, CEUR Workshop Proceedings, Auckland, New Zealand, pp. 78-93, (CEUR-WS.org) (2019)
  • M. Munch, J. Dibie‑Barthelemy, P.‑H. Wuillemin, C. Manfredotti : “Towards Interactive Causal Relation Discovery Driven by an Ontology”, FLAIRS 32, Sarasota, United States (2019)
• 2018
  • M. Munch, P.‑H. Wuillemin, J. Dibie‑Barthelemy, C. Manfredotti, Th. Allard, S. Buchin, E. GUICHARD : “Identifying Control Parameters In Cheese Fabrication Process Using Precedence Constraints”, Lecture Notes in Computer Science, vol. 11198, Discovery Science, Limassol, Cyprus, pp. 421-434, (Springer) (2018)
  • M. Munch, J. Dibie‑Barthelemy, C. Manfredotti, P.‑H. Wuillemin : “[WORK DOCUMENT] Towards interactive causal relation discovery driven by an ontology”, (2018)
• 2017
  • M. Munch, P.‑H. Wuillemin, C. Manfredotti, J. Dibie‑Barthelemy, S. Dervaux : “Learning Probabilistic Relational Models using an Ontology of Transformation Processes”, On the Move to Meaningful Internet Systems. OTM 2017 Conferences, vol. 10574, Lecture Notes in Computer Science, Rhodes, Greece, pp. 198-215, (Springer, Cham) (2017)
• 2015
  • Ch. Gonzales, S. Dubuisson, Cristina E. Manfredotti : “A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection”, Florida Artificial Intelligence Research Society Conference, Hollywood, Florida, United States, pp. 564-569 (2015)
  • J. Dibie‑Barthelemy, C. Manfredotti, C. Baudrit, P.‑H. Wuillemin : “Mapping ontology with probabilistic relational models - an application to transformation processes”, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Lisbon, Spain, pp. 171-178, (ScitePress) (2015)