Orenstein, EC, Ayata, SD, Maps, F, Becker, ÉC, Benedetti, F, Biard, T, de Garidel‐Thoron, T, Ellen, JS, Ferrario, F, Giering, SLC, Guy‐Haim, T, Hoebeke, L, Iversen, MH, Kiørboe, T, Lalonde, JF, Lana, A, Laviale, M, Lombard, F, Lorimer, T, Martini, S, Meyer, A, Möller, KO, Niehoff, B, Ohman, MD, Pradalier, C, Romagnan, JB, Schröder, SM, Sonnet, V, Sosik, HM, Stemmann, LS, Stock, M, Terbiyik‐Kurt, T, Valcárcel‐Pérez, N, Vilgrain, L, Wacquet, G, Waite, AM and Irisson, JO (2022) Machine learning techniques to characterize functional traits of plankton from image data. Limnology and Oceanography, 67(8). 1647-1669. doi:10.1002/lno.12101
Item Type: | Article |
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Subjects: | Peer reviewed EXC publications MARUM MARUM > MARUM GB - Geosphere-Biosphere Interactions MARUM > MARUM OC - Ocean and Climate peer reviewed publications www.marum.de |
Divisions: | MARUM |
Depositing User: | Britta Schilder-Lübben |
Date Deposited: | 23 Mar 2023 12:16 |
Last Modified: | 17 Apr 2023 10:40 |
URI: | http://publications.marum.de/id/eprint/4918 |
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