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Modélisation interactive en agro-alimentaire: l’outilLiDeoGraMJournée Visu 2019, May 2019, Paris, France. pp.3
Conference papers
hal-02737033v1
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Multiscale modeling for bioresources and bioproductsInnovative Food Science & Emerging Technologies / Innovative Food Science and Emerging Technologies , 2018, 46, pp.41-53. ⟨10.1016/j.ifset.2017.09.015⟩
Journal articles
hal-01607608v1
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Interactive Machine Learning for Applications in Food Science and TechnologyHuman and Machine Learning, Springer, ISBN 978-3-319-90403-0, 2018
Book sections
hal-02482108v1
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LIDeOGraM : an interactive evolutionary modelling toolBiennial International Conference on Artificial Evolution (EA-2017), 2017, Paris, France
Conference papers
hal-01607681v1
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Human in the loop for modelling food and biological systems: a novel perspective coupling artificial intelligence and life science10. International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018. Eurosis, 2018., Apr 2018, Ghent, Belgium. pp.8
Conference papers
hal-02192521v1
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HOW TO PREDICT THE ODOR PROFILE OF WINE FROM ITS CHEMICAL COMPOSITION ? IN SILICO MODELLING USING EXPERTS' KNOWLEDGE, FUZZY LOGIC AND OPTIMIZATIONInternational Symposium on Olfaction and Electronic Nose (ISOEN), May 2017, Montréal, Canada
Conference poster
hal-01957114v1
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A semi-automatic modelling approach for the production and freeze drying of lactic acid bacteria10. International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018. Eurosis, 2018., Apr 2018, Ghent, Belgium
Conference papers
hal-02266291v1
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How to mislead an evolutionary algorithm using global sensitivity analysis12. International Conference, Evolution Artificielle, Oct 2015, Lyon, France. ⟨10.1007/978-3-319-31471-6_4⟩
Conference papers
hal-01365972v1
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LIDeOGraM: an interactive evolutionary modelling tool13. Biennial International Conference on Artificial Evolution (EA), 2018, CHAM, Switzerland. pp.13, ⟨10.1007/978-3-319-78133-4_14⟩
Conference papers
hal-02736924v1
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Is global sensitivity analysis useful to evolutionary computation?17. Genetic and Evolutionary Computation Conference (GECCO), Jul 2015, Madrid, Spain. ⟨10.1145/2739482.2764675⟩
Conference papers
hal-01366572v1
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How to predict the odor profile of wine from its chemical composition? In silico modelling using experts' knowledge, fuzzy logic and optimization17. international symposium on olfaction and electronic nose, May 2017, Montréal, Canada. , 1 p., 2017
Conference poster
hal-02787325v1
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Interactive evolutionary modelling of living complex food systemsGenetic and Evolutionary Computation Conference GECCO' 17, Jul 2017, Berlin, Germany. ⟨10.1145/3067695.3075992⟩
Conference papers
hal-01607872v1
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Interactive machine learning for applications in food ScienceHuman and Machine Learning, SPRINGER, pp.19, 2018, Human-Computer Interaction Series, 978-3-319-90403-0; 978-3-319-90402-3. ⟨10.1007/978-3-319-90403-0_22⟩
Book sections
hal-02791245v1
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