Gregory Beurier
Gregory Beurier
Verifierad e-postadress på cirad.fr
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The TurtleKit simulation platform: Application to complex systems
F Michel, G Beurier, J Ferber
SITIS: Signal-Image Technology and Internet–Based Systems, 2005
482005
Model and simulation of multi-level emergence
G Beurier, O Simonin, J Ferber
ISSPIT: International Symposium on Signal Processing and Information Technology, 2002
362002
A morphogenesis model for multiagent embryogeny
G Beurier, F Michel, J Ferber
The 10th International Conference on the Synthesis and Simulation of Living …, 2006
332006
Un modčle de systčme multi-agent pour l'émergence multi-niveau
G Beurier, O Simonin, J Ferber
182003
The turtlekit platform: application to multi-level emergence
F Michel, G Beurier, A Gouaıch, J Ferber
ABS 4 Agent-Based Simulation 4, 2003
52003
Towards an evolution model of multiagent organisms
G Beurier, F Michel, J Ferber
Multi-Agents for modeling Complex Systems, Satellite Workshop of the …, 2005
42005
The turtlekit simulation platform: Application to multi-level emergence
F Michel, G Beurier, J Ferber
Agent Based Simulation 4, 2003
42003
GECKO is a genetic algorithm to classify and explore high throughput sequencing data
A Thomas, S Barriere, L Broseus, J Brooke, C Lorenzi, JP Villemin, ...
Communications biology 2 (1), 1-8, 2019
22019
Codage indirect de la forme dans les systčmes multi-agents: émergence multi-niveaux, évolution et morphogénčse
G Beurier
Montpellier 2, 2007
22007
Modčle de SMA réactif et récursif pour l'émergence multi-niveaux
G Beurier
22002
Modelling tiller growth and mortality as a sink-driven process using Ecomeristem: implications for biomass sorghum ideotyping
F Larue, D Fumey, L Rouan, JC Soulié, S Roques, G Beurier, D Luquet
Annals of Botany 124 (4), 675-690, 2019
12019
The TurtleKit Simulation Platform: A Multi-Agent Tool for Designing and Studying Complex Systems
G Beurier, F Michel
12008
Structuration de la variabilité génétique et étude d’association pan-génomique des caroténoīdes utilisant la technologie DArTseq chez les populations locales de blé dur Tunisien
C Robbana
2020
Autoencoding Genetic Markers to Predict the Value of Ecophysiological Model Parameters-Proof of Concept Using a Sorghum Diversity Panel
F Larue, G Beurier, L Rouan, D Pot, JF Rami, D Luquet
Multidisciplinary Digital Publishing Institute Proceedings 36 (1), 70, 2020
2020
Assembler la diversité des modčles classiques et" deep learning" pour développer un pipeline de calibration SPIR performant et générique
D Cornet, L Desfontaines, F Cormier, C Marie-Magdeleine, G Arnau, ...
HélioSPIR, 2019
2019
Analyzing and modelling biomass accumulation in sorghum stem and its drought regulation at tissue and organ level–genotypic variability and implications for ideotype conception
D Luquet, L Perrier, A Clément-Vidal, S Jaffuel, JL Verdeil, D Pot, F Larue, ...
2018
Conception de bases de données expérimentales ā des fins de modélisation-Interfaįage avec R
S Auzoux, S Paradis, L Rouan
CIRAD, 2018
2018
Using Phenoarch platform to dissect the genetic and physiological control of growth and water use response to drought of African sorghum.[P61]
F Larue, S Roques, G Beurier, L Rouan, L Cabrera-Bosquet, N Luchaire, ...
University of Pretoria, 2018
2018
Agent-based models to address the spatial complexity of biological and physical interactions in soils
G Beurier, C Cambier, N Marilleau, E Perrier, R Duponnois
EGUGA, 12598, 2009
2009
Agent-based models to address the spatial complexity of biological and physical interactions in soils
RD G. Beurier, C. Cambier, N. Marilleau, E. Perrier
Geophysical Research Abstracts, 2009
2009
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Artiklar 1–20