Anastase Alexandre Charantonis
Anastase Alexandre Charantonis
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Reconstruction of subsurface velocities from satellite observations using iterative self-organizing maps
C Chapman, AA Charantonis
IEEE Geoscience and Remote Sensing Letters 14 (5), 617-620, 2017
Retrieving the evolution of vertical profiles of Chlorophyll-a from satellite observations using Hidden Markov Models and Self-Organizing Topological Maps
AA Charantonis, F Badran, S Thiria
Remote Sensing of Environment 163, 229-239, 2015
Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting
V Bouget, D Béréziat, J Brajard, A Charantonis, A Filoche
Remote Sensing 13 (2), 246, 2021
Remote sensing the sea surface CO2 of the Baltic Sea using the SOMLO methodology
G Parard, AA Charantonis, A Rutgerson
Biogeosciences 12 (11), 3369-3384, 2015
Completion of a sparse GLIDER database using multi-iterative Self-Organizing Maps (ITCOMP SOM)
AA Charantonis, P Testor, L Mortier, F D’Ortenzio, S Thiria
Procedia Computer Science 51, 2198-2206, 2015
Using satellite data to estimate partial pressure of CO2 in the Baltic Sea
G Parard, AA Charantonis, A Rutgersson
Journal of Geophysical Research: Biogeosciences 121 (3), 1002-1015, 2016
Construction of multi-year time-series profiles of suspended particulate inorganic matter concentrations using machine learning approach
PR Renosh, F Jourdin, AA Charantonis, K Yala, A Rivier, F Badran, ...
Remote Sensing 9 (12), 1320, 2017
Remote sensing algorithm for sea surface CO2 in the Baltic Sea
G Parard, AA Charantonis, A Rutgerson
Biogeosci. Discuss 11, 12255-12294, 2014
Downscaling of ocean fields by fusion of heterogeneous observations using deep learning algorithms
S Thiria, C Sorror, T Archambault, A Charantonis, D Bereziat, C Mejia, ...
Ocean Modelling 182, 102174, 2023
The potential of using remote sensing data to estimate air–sea CO2 exchange in the Baltic Sea
G Parard, A Rutgersson, S Raj Parampil, AA Charantonis
Earth System Dynamics 8 (4), 1093-1106, 2017
Inversion of phytoplankton pigment vertical profiles from satellite data using machine learning
A Puissant, R El Hourany, AA Charantonis, C Bowler, S Thiria
Remote Sensing 13 (8), 1445, 2021
Statistics-free interpolation of ocean observations with deep spatio-temporal prior
A Filoche, T Archambault, AA Charantonis, D Béréziat
ECML/PKDD Workshop on Machine Learning for Earth Observation and Prediction …, 2022
The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations
WK Jones, R Lguensat, A Charantonis, D Watson-Parris
Proceedings of the 10th International Conference on Climate Informatics, 134-138, 2020
Representing ill-known parts of a numerical model using a machine learning approach
J Brajard, A Charantonis, J Sirven
arXiv preprint arXiv:1903.07358, 2019
Application of Machine Learning Techniques to Ocean Mooring Time Series Data
BM Sloyan, CC Chapman, R Cowley, AA Charantonis
Journal of Atmospheric and Oceanic Technology 40 (3), 241-260, 2023
Variational assimilation of Geophysical images leveraging deep learning tools
A Filoche, D Béréziat, J Brajard, AA Charantonis
ORASIS 2021, 2021
Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting. Remote Sens. 2021, 13, 246
V Bouget, D Béréziat, J Brajard, A Charantonis, A Filoche
s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021
Completing physics-based models by learning hidden dynamics through data assimilation
A Filoche, J Brajard, AA Charantonis, D Béréziat
NeurIPS 2020, workshop AI4Earth, 2020
Inverse Method for the Retrieval of Ocean Vertical Profiles Using Self Organizing Maps and Hidden Markov Models-Application on Ocean Colour Satellite Image Inversion
CA Alexandre, B Julien, M Cyril, B Fouad, T Sylvie
International Conference on Neural Computation Theory and Applications 2 …, 2011
Deep prior in variational assimilation to estimate an ocean circulation without explicit regularization
A Filoche, D Béréziat, A Charantonis
Environmental Data Science 2, e2, 2023
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