463 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Université de MontpellierFR2 papers
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
- Centre Inria de l'Université de LilleFR1 paper
- École PolytechniqueFR1 paper
- Georgia Institute of TechnologyUS1 paper
- Imperial College LondonGB1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Institut Universitaire de FranceFR1 paper
- Laboratoire de Physique des PlasmasFR1 paper
5 papers
Bayesian Uncertainty Quantification for Anaerobic Digestion models
Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj +1
Uncertainty quantification is critical for ensuring adequate predictive power of computational models used in biology. Focusing on two anaerobic digestion models, this article intr…
A modeling and simulation study of anaerobic digestion in plug-flow reactors
D. B. Panaro, M. R. Mattei, G. Esposito +3
A mathematical model for anaerobic digestion in plug-flow reactors is proposed on the basis of mass balance considerations. The model consists of a system of parabolic partial diff…
Bacterial Metabolic Heterogeneity: from Stochastic to Deterministic Models
Carl Graham, Jérôme Harmand, Sylvie Méléard +1
We revisit the modeling of the diauxic growth of a pure microorganism on two distinct sugars which was first described by Monod. Most available models are deterministic and make th…
Bayesian Optimization with Dimension Scheduling: Application to Biological Systems
Doniyor Ulmasov, Caroline Baroukh, Benoit Chachuat +2
Bayesian Optimization (BO) is a data-efficient method for global black-box optimization of an expensive-to-evaluate fitness function. BO typically assumes that computation cost of…
Robust estimation of microbial diversity in theory and in practice
Bart Haegeman, Jérôme Hamelin, John Moriarty +3
Quantifying diversity is of central importance for the study of structure, function and evolution of microbial communities. The estimation of microbial diversity has received renew…