artificial neural network: 13
members
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A.Gasc
Applied Meta-Acoustics for Biological Conservation within Southern Countries
(Ecological study and conservation tool based on sound environments collections (soundscape ecology))
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C. Selinger (CSS5 resigned 2021)
Computational and Mathematical Modelling of Multi-Strain Viral Epidemics
(stochastic simulation, machine learning, bayesian computation, graph theory)
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L. Berti-Equille
Data Quality Awareness for Computational Sustainability
(Statistical machine learning, data cleaning, probabilistic inference, data fusion, data quality, data management)
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E. Chenin
Design and Development of Integrated Research Projects on Complex Systems and Biodiversity Information
(head of the French delegation to the Global Biodiversity Information Facility (GBIF))
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D. Gaertner (retired 2023)
Integrative Approach for Tropical Tuna Resource and Exploitation Sustainability
(International expertise on regional fisheries management)
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P. Larmande
Knowledge Extraction and Diffusion of Genome-Phenome Relationships in Tropical Agronomy
(semantic web and ontologies, interoperability, FAIR data portal development)
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S. Giffard-Roisin
Machine Learning for Surveillance, Understanding and Prediction of Natural Hazards
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R. Almar
Morphodynamics to Assess and Forecast Coastal Vulnerability in the Intertropical Zone
(combining applied partnership and new generation remote sensing)
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M. Mangeas
Operational Application of Deterministic and Stochastic Mathematics to Spatio-Temporal Environment-Health Issues
(optimization, hybrid system, neural network, genetic algorithms)
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M.Capello
Reconciling Exploitation and Conservation of Tropical Pelagic Ecosystems
(Derivation of alternative abundance indicators coupling operational models with fishery independant data)
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L. Drapeau
Spatial Dynamics Modelling of Natural Drivers for Socio-Ecosystems Management and Multidisciplinary Studies
(applied mathematics, spatial statistics, spatial data infrastructures)
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J. Carreau (CSS5 resigned 2021)
Statistical Modelling for the Study of Climatic Forcings in the Mediterranean
(Extreme value theory, non parametric approach and mathematical disaggregation (downscaling))
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J. Guérin
[IN CONSTRUCTION - NOT VALIDATED] Developing Machine Learning Approaches to Enhance Global Resilience to Climate Change
(ML experiments design, runtime monitoring, robustness assessment, optimisation and evaluation)
