| LIDeOGraM: An Interactive Evolutionary Modelling Tool T Chabin, M Barnabé, N Boukhelifa, F Fonseca, A Tonda, H Velly, ... Artificial Evolution: 13th International Conference, Évolution Artificielle …, 2018 | 10 | 2018 |
| Multiscale modeling for bioresources and bioproducts M Barnabé, N Blanc, T Chabin, JY Delenne, A Duri, X Frank, ... Innovative Food Science & Emerging Technologies, 2017 | 8 | 2017 |
| Interactive machine learning for applications in food Science A Tonda, N Boukhelifa, T Chabin, M Barnabé, B Génot, E Lutton, N Perrot Human and Machine Learning: Visible, Explainable, Trustworthy and …, 2018 | 5 | 2018 |
| How to mislead an evolutionary algorithm using global sensitivity analysis T Chabin, A Tonda, E Lutton Artificial Evolution: 12th International Conference, Evolution Artificielle …, 2016 | 3 | 2016 |
| Is global sensitivity analysis useful to evolutionary computation? T Chabin, A Tonda, E Lutton Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 3 | 2015 |
| Using linear genetic programming to evolve a controller for the game 2048 T Chabin, M Elouafi, P Carvalho, A Tonda | 3 | 2015 |
| Interactive evolutionary modelling of living complex food systems: freeze-drying of lactic acid bacteria T Chabin, M Barnabé, N Boukhelifa, F Fonseca, A Tonda, H Velly, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 2 | 2017 |
| In silico modelling to predict the odor profile of food from its molecular composition using experts' knowledge, fuzzy logic and optimization: application on wines A Roche, N Perrot, T Chabin, A Villière, R Symoneaux, ... 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose …, 2017 | 2 | 2017 |
| A semi-automatic modelling approach for the production and freeze-drying of lactic acid bacteria T Chabin, M Barnabé, A Tonda, N Boukhelifa, F Fonseca, E Dugat-Bony, ... 10. International Conference on Simulation and Modelling in the Food and Bio …, 2018 | 1 | 2018 |
| HOW TO PREDICT THE ODOR PROFILE OF WINE FROM ITS CHEMICAL COMPOSITION? IN SILICO MODELLING USING EXPERTS'KNOWLEDGE, FUZZY LOGIC AND OPTIMIZATION D Roche, N Perrot, T Chabin, A Villière, R Symoneaux, ... International Symposium on Olfaction and Electronic Nose (ISOEN), 2017 | 1 | 2017 |
| Modélisation interactive en agro-alimentaire: l’outilLiDeoGraM E Lutton, N Boukhelifa, A Tonda, T Chabin, N Méjean, JD Fekete Journée Visu 2019, 3, 2019 | | 2019 |
| Interactive Modelling in the Agrifood Domain: the LiDeoGraM tool E Lutton, N Boukhelifa, A Tonda, T Chabin, N Méjean, JD Fekete | | 2019 |
| Human in the loop for modelling food and biological systems: a novel perspective coupling artificial intelligence and life science N Perrot, N Boukhelifa, A Tonda, T Chabin, M Barnabe, D Swennen, ... 10. International Conference on Simulation and Modelling in the Food and Bio …, 2018 | | 2018 |
| Interactive evolutionary modelling of living complex food systems T Chabin, M Barnabe, N Boukhelifa, F Fonseca, A Tonda, H Velly, ... Genetic and Evolutionary Computation Conference GECCO'17, np, 2017 | | 2017 |
| Multiscale modeling for bioresources and bioproducts N Blanc, T Chabin, JY Delenne, A Duri, X Frank, V Hugouvieux, E Lutton, ... Innovative food science & emerging technologies, 2017 | | 2017 |
| In silico modelling to predict the odor profile of red wines from their molecular composition using experts’ knowledge, fuzzy logic and optimization D Roche, T Chabin, A Villiere, R Symoneaux, N Perrot, ... 7th European Conference on Sensory and Consumer Research, 2016 | | 2016 |
Alberto TondaINRAE (Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement), ParisVahvistettu sähköpostiosoite verkkotunnuksessa inrae.fr
