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Mélanie MUNCH

Research Engineer at INRAE
15
Documents
Researcher identifiers

Presentation

I am currently a researcher in the Protein, Structure, Function team at INRAE STLO (Science and Technology of Milk and Eggs). My research focuses on the application of machine learning techniques for modelling complex systems and multi-criteria decision making. I am interested in the interactions between expert knowledge and modelling approaches. After a degree in agricultural engineering from AgroParisTech, I prepared my PhD on the combination of probabilistic relational models and knowledge bases, with the aim of highlighting the importance of integrating expert knowledge in automatic methods for a better explainability of the learned models. 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 work is 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, PSF 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 **ICBC 24** Smart use of sensory data for wheat grain quality grading **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

Research domains

Artificial Intelligence [cs.AI]

Skills

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⟩
Journal articles 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⟩
Journal articles hal-03783883v1
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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⟩
Journal articles hal-03662183v1
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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⟩
Journal articles hal-04115029v1
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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⟩
Journal articles hal-03650668v2
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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
Conference papers hal-04190423v1
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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
Conference papers hal-04401966v1

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
Conference papers 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
Conference papers 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⟩
Conference papers hal-03474067v1
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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
Conference papers hal-02368242v1
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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
Conference papers hal-02184398v1
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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⟩
Conference papers 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⟩
Conference papers hal-01718783v2