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Machine learning techniques to characterize functional traits of plankton from image data
Eric C. Orenstein, Sakina‐Dorothée Ayata*, Frédéric Maps, Érica C. Becker, Fabio Benedetti, Tristan Biard, Thibault de Garidel‐Thoron, Jeffrey S. Ellen, Filippo Ferrario, Sarah L. C. Giering, Tamar Guy‐Haim, Laura Hoebeke, Morten Hvitfeldt Iversen, Thomas Kiørboe, Jean‐François Lalonde, Arancha Lana, Martin Laviale, Fabien Lombard, Tom Lorimer, Séverine Martini
*Corresponding author for this work
- Sorbonne Université
- Université Laval
- Universidade Federal de Santa Catarina
- Swiss Federal Institute of Technology Zurich
- Université du Littoral Côte-d'Opale
- Aix-Marseille Université
- University of California at San Diego
- National Oceanography Centre
- National Institute of Oceanography Israel
- Ghent University
- Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research
- CSIC-UIB - Mediterranean Institute for Advanced Studies
- Université de Lorraine
- Swiss Federal Institute of Aquatic Science and Technology
- Institut français de recherche pour l'exploitation de la mer
- Université de Toulon
- Helmholtz-Zentrum Hereon
- GeorgiaTech Lorraine
- Kiel University
- University of Rhode Island
- Woods Hole Oceanographic Institution
- Cukurova University
- Instituto Espanol de Oceanografia
- Dalhousie University
Research output: Contribution to journal › Journal article › Research › peer-review
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