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Mélanie MUNCH

Ingénieure de Recherche INRAE
15
Documents
Identifiants chercheurs

Présentation

I am interested in the interactions between expert knowledge and the learning of complex models. After a degree in agricultural engineering from AgroParisTech, I prepared my PhD on the combination of probabilistic relational models and knowledge bases, with the goal of highlighting the importance of expert knowledge integration in automatic methods for a better explainability of the learned models. I am currently working as a post-doc on wheat quality modeling. My research focuses on the application of machine learning techniques for the modeling of complex systems. Due to my background, I have a strong interest in biology, chemistry and physics, and have skills for working with experts from multiple domains. Since 2022, I am also co-moderator of the INRAE MathNum scientific network [IN-OVIVE](https://www6.inrae.fr/reseau-in-ovive/). Some of my works are presented in my [Git-Lab](https://gitlab.com/melanie.munch). ### Competences Artificial intelligence and machine learning algorithms with an emphasis on model explainability Expert knowledge integration Causality and causal discovery Complex system modeling ### Positions **Jan 2023** Research Engineer. UMR STLO, PFS team, INRAE Rennes, France. **Jan 2021 - Dec 2023** Postdoctoral fellow. I2M Team, Bordeaux University, France. *Wheat Quality Modeling* **Oct 2020 - Dec 2021** Research engineer. UMR IATE, Ico Team, INRAE Centre Occitanie-Montpellier, France. *Eco-design of bio-composite packaging by combining probabilistic graphical models and knowledge graphs* and *Prediction of solubility of foods as a function of composition* **Sep 2019 - Dec 2019** Visiting researcher. DISI Team, Trento University, Italy. *Learning under constraint for choice preference modeling* ### Academic Training **2017- 2020** PhD in applied informatics. *Improving uncertain reasoning combining probabilistic relational models and expert knowledge* (AgroParisTech, France). **2017** Master of Science: Computer Science, Intelligent Systems (Paris Dauphine University, France) **2013-2017** Engineer Diploma (AgroParisTech, France). ### Oral Communications **PangBorn 15** Combining Probabilistic Models With Expert Knowledge Integration For Wheat Quality Assessment **ICEF 14** Expert knowlege integration for smart tools modeling: application to wheat use ### Teachings Python and Database, L3 level students (AgroParisTech) Excel VBA, M2 level students (AgroParisTech) ### Grants and Awards **Fait Marquant INRAe - Département TRansform 2022 :** [Prediction of CO2 solubility in foods for modified atmosphere packaging](https://www.inrae.fr/actualites/rapport-recherche-innovation-du-departement-transform-2023-est-paru) **Fait Marquant INRAe - Département TRansform 2021 :** [Modeling of bio-composite packaging by integration of data and expert knowledge ](https://www.inrae.fr/actualites/rapport-recherche-innovation-du-departement-transform-2022-est-paru) **Best research paper:** Melanie Munch, Patrice Buche, Cristina Manfredotti, Pierre-Henri Wuillemin, Helene 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. *15th International Conference on Metadata and Semantics Research*, Nov 2021, Madrid, Spain. **2019 Dufrenoy Grant** from the agricultural academy for innovative science project **EIR-A label** from the Agreenium international research center for an interdisciplinary and international opening during the PhD # Others Contributor to the [PyAgrum](https://agrum.gitlab.io/) library Printemps de la donnée (INRAE): <https://nextcloud.inrae.fr/s/MPXoktJRYDYpTLd> (french) ### Reviews CARI2022, EGC2023, Journal of Expert Systems with Application

Domaines de recherche

Intelligence artificielle [cs.AI]

Compétences

Machine learning Knowledge Engineering Modeling

Publications

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CO2 solubility and composition data of food products stored in data warehouse structured by an ontology

Mélanie Munch , Patrice Buche , Luc Menut , Julien Cufi , Valérie Guillard
Data in Brief, 2023, 47, pp.108950. ⟨10.1016/j.dib.2023.108950⟩
Article dans une revue hal-03998593v1
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Composition-based statistical model for predicting CO2 solubility in modified atmosphere packaging application

Mélanie Münch , Valérie Guillard , Sébastien Gaucel , Sébastien Destercke , Jonathan Thévenot
Journal of Food Engineering, 2023, 340, pp.111283. ⟨10.1016/j.jfoodeng.2022.111283⟩
Article dans une revue hal-03783883v1
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Biocomposites from poly(3-hydroxybutyrate-co-3-hydroxyvalerate) and lignocellulosic fillers: Processes stored in data warehouse structured by an ontology

Mélanie Munch , Patrice Buche , Stéphane Dervaux , Amélie Breysse , Marie-Alix Berthet
Data in Brief, 2022, 42, pp.108191. ⟨10.1016/j.dib.2022.108191⟩
Article dans une revue hal-03650668v2
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Formalising contextual expert knowledge for causal discovery in linked knowledge graphs about transformation processes: application to processing of bio-composites for food packaging

Mélanie Munch , Patrice Buche , Helene Angellier-Coussy , Cristina Manfredotti , Pierre-Henri Wuillemin
International Journal of Metadata, Semantics and Ontologies, 2022, 16 (1), pp.1-15. ⟨10.1504/IJMSO.2022.131129⟩
Article dans une revue hal-04115029v1
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Combining ontology and probabilistic models for the design of bio-based product transformation processes

Mélanie Munch , Patrice Buche , Stéphane Dervaux , Juliette Dibie , Liliana Ibanescu
Expert Systems with Applications, 2022, 203, pp.117406. ⟨10.1016/j.eswa.2022.117406⟩
Article dans une revue hal-03662183v1
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Grounding Causality in Bayesian Networks Using Qualitative Reasoning

Mélanie Munch , Kamal Kansou , Bert Bredeweg , C Baudrit , Pierre-Henri Wuillemin
QR@ECAI23, Sep 2023, Krakow, Poland
Communication dans un congrès hal-04401966v1
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Conception d'un Outil de Diagnostic: Application à l'Essai de Panification en Industrie Boulangère

Mélanie Munch , C Baudrit , Kamal Kansou , Christophe Fernandez
JFRB 2023 : 11èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Jun 2023, Nantes, France
Communication dans un congrès hal-04190423v1

Identifier et reconnaitre des essences de bois à l'aide d'un réseau Bayésien basé sur des indicateurs macroscopiques

C Baudrit , Franck Michaud , Christophe Fernandez , Mélanie Munch
33es Journées francophones d'Ingénierie des Connaissances, Jun 2022, Saint-Étienne, France
Communication dans un congrès hal-04017401v1
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Une approche d'ingénierie inverse combinant ontologies et modèles relationnels probabilistes: application aux emballages bio-composites

Mélanie Munch , Patrice Buche , Cristina Manfredotti , Pierre-Henri Wuillemin , Helene Angellier-Coussy
IC@PFIA 2022 - Plate-Forme Intelligence Artificielle, Jun 2022, Saint-Etienne, France
Communication dans un congrès hal-03682416v1
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A process reverse engineering approach using Process and Observation Ontology and Probabilistic Relational Models: application to processing of bio-composites for food packaging

Mélanie Munch , Patrice Buche , Cristina Manfredotti , Pierre-Henri Wuillemin , Helene Angellier-Coussy
MTSR 2021 - 15th International Conference on Metadata and Semantics Research, Nov 2021, Madrid, Spain. pp.3-15, ⟨10.1007/978-3-030-98876-0_1⟩
Communication dans un congrès hal-03474067v1
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Towards Interactive Causal Relation Discovery Driven by an Ontology

Mélanie Munch , Juliette Dibie-Barthelemy , Pierre-Henri Wuillemin , Cristina Manfredotti
FLAIRS 32, May 2019, Sarasota, United States
Communication dans un congrès hal-02184398v1
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Interactive Causal Discovery in Knowledge Graphs

Mélanie Munch , Juliette Dibie-Barthelemy , Pierre-Henri Wuillemin , Cristina Manfredotti
PROFILES/SEMEX@ISWC 2019, Oct 2019, Auckland, New Zealand. pp.78-93
Communication dans un congrès hal-02368242v1
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Identifying Control Parameters In Cheese Fabrication Process Using Precedence Constraints

Mélanie Munch , Pierre-Henri Wuillemin , Juliette Dibie-Barthelemy , Cristina Manfredotti , Thomas Allard
21st International Conference on Discovery Science (DS 2018), Oct 2018, Limassol, Cyprus. pp.421-434, ⟨10.1007/978-3-030-01771-2_27⟩
Communication dans un congrès hal-01923649v1
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Learning Probabilistic Relational Models using an Ontology of Transformation Processes

Mélanie Munch , Pierre-Henri Wuillemin , Cristina Manfredotti , Juliette Dibie-Barthelemy , Stephane S. Dervaux
Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Oct 2017, Rhodes, Greece. pp.198-215, ⟨10.1007/978-3-319-69459-7_14⟩
Communication dans un congrès hal-01718783v2