CV Accueil - Archive ouverte HAL

	Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach Elodie Martinez , Thomas Gorgues , Matthieu Lengaigne , Clément Fontana , Raphaëlle Sauzède Frontiers in Marine Science, 2020, 7, ⟨10.3389/fmars.2020.00464⟩ Article dans une revue hal-02941302v1
	Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean Elodie Martinez , Anouar Brini , Thomas Gorgues , Lucas Drumetz , Joana Roussillon Remote Sensing, 2020, 12 (24), pp.4156. ⟨10.3390/rs12244156⟩ Article dans une revue hal-03126743v1
	Corrigendum: Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach Elodie Martinez , Thomas Gorgues , Matthieu Lengaigne , Clement Fontana , Raphaëlle Sauzède Frontiers in Marine Science, 2020, 7, ⟨10.3389/fmars.2020.618249⟩ Article dans une revue hal-03145846v1
	Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean Elodie Martinez , Anouar Brini , Thomas Gorgues , Lucas Drumetz , Joana Roussillon Remote Sensing, 2020, 12 (24), pp.4156. ⟨10.3390/rs12244156⟩ Article dans une revue hal-03227823v1

	Spatial multi-modality as a way to improve both performance and interpretability of deep learning models to reconstruct phytoplankton time-series in the global ocean Joana Roussillon , Ronan Fablet , Thomas Gorgues , Lucas Drumetz , Elodie Martinez EGU General Assembly 2022, May 2022, Vienna, Austria Poster de conférence hal-04231217v1

Ronan Fablet