Recherche
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A Machine Learning Technique Regularization of the Inverse Problem in Cardiac Electrophysiology
Communication dans un congrès -
Susceptible-Infectious-Recovered Models Revisited: From the Individual Level to the Population Level
(Mathematical Biosciences. vol. 250, pp. 26-40, 2014)Article de revue -
Use of Integrated Studies to Elucidate Potential Benefits from Genetic Resistance to Salmonella Carrier State in Fowl
(InTech, 2012)Chapitre d'ouvrage -
An original methodology for the selection of biomarkers of tenderness in five different muscles
(Foods. vol. 8, n° 6, pp. 206, 2019)Article de revue -
New insights on the cardiac safety factor: Unraveling the relationship between conduction velocity and robustness of propagation
(Journal of Molecular and Cellular Cardiology. vol. 128, pp. 117-128, 2019-03)Article de revue -
Modeling Protein Destiny in Developing Fruit
(Plant Physiology. vol. 180, n° 3, pp. 1709-1724, 2019-06-28)Article de revue -
Remarks about spatially structured SI model systems with cross diffusion
(Springer, 2019)Chapitre d'ouvrage -
Stochastically forced cardiac bidomain model
(Stochastic Processes and their Applications. vol. 129, n° 12, pp. 5312-5363, 2019)Article de revue -
New Approach Studying Interactions Regarding Trade-Off between Beef Performances and Meat Qualities
(Foods. vol. 8, n° 6, pp. 197, 2019-06)Article de revue -
Statistical model choice including variable selection based on variable importance: A relevant way for biomarkers selection to predict meat tenderness
(Scientific Reports. vol. 9, n° 1, 2019)Article de revue