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Robin Fuchs
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Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets
R Fuchs, D Pommeret, C Viroli
Advances in Data Analysis and Classification 16 (1), 31-53, 2022
82022
Automatic recognition of flow cytometric phytoplankton functional groups using convolutional neural networks
R Fuchs, M Thyssen, V Creach, M Dugenne, L Izard, M Latimier, ...
Limnology and Oceanography: Methods 20 (7), 387-399, 2022
72022
A RUpture‐Based detection method for the Active mesopeLagIc Zone (RUBALIZ): A crucial step toward rigorous carbon budget assessments
R Fuchs, CMJ Baumas, M Garel, D Nerini, FAC Le Moigne, C Tamburini
Limnology and Oceanography: Methods 21 (1), 24-39, 2023
52023
Phytoplankton reaction to an intense storm in the north-western Mediterranean Sea
S Barrillon, R Fuchs, AA Petrenko, C Comby, A Bosse, C Yohia, JL Fuda, ...
Biogeosciences 20 (1), 141-161, 2023
52023
Intermittent Upwelling Events Trigger Delayed, Major, and Reproducible Pico‐Nanophytoplankton Responses in Coastal Oligotrophic Waters
R Fuchs, V Rossi, C Caille, N Bensoussan, C Pinazo, O Grosso, ...
Geophysical Research Letters 50 (5), e2022GL102651, 2023
22023
Reconstructing the ocean’s mesopelagic zone carbon budget: sensitivity and estimation of parameters associated with prokaryotic remineralization
C Baumas, R Fuchs, M Garel, JC Poggiale, L Memery, FAC Le Moigne, ...
Biogeosciences Discussions 2023, 1-39, 2023
12023
MIAMI: MIxed Data Augmentation MIxture
R Fuchs, D Pommeret, S Stocksieker
International Conference on Computational Science and Its Applications, 113-129, 2022
12022
Standard vocabulary, consensual functional groups and automated classification for phytoplankton high throughput datasets using automated flow cytometry
M Thyssen, R Fuchs, V Créach, LF Artigas, G Grégori, P Marrec, ...
ASLO 2021, 2021
12021
Méthodes neuronales et données mixtes: vers une meilleure résolution spatio-temporelle des écosystèmes marins et du phytoplancton
R Fuchs
Aix-Marseille, 2022
2022
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Articles 1–9