Limnology and Oceanography Limnology and Oceanography, 2022, 67 (8), pp.1647-1669. ⟨10.1002/lno.12101⟩ Orenstein, E C, Ayata, SD, Maps, F, Becker, É C, Benedetti, F, Biard, T, de Garidel-Thoron, T, Ellen, J S, Ferrario, F, Giering, S L C, Guy-Haim, T, Hoebeke, L, Iversen, M H, Kiørboe, T, Lalonde, JF, Lana, A, Laviale, M, Lombard, F, Lorimer, T, Martini, S, Meyer, A, Möller, K O, Niehoff, B, Ohman, M D, Pradalier, C, Romagnan, JB, Schröder, SM, Sonnet, V, Sosik, H M, Stemmann, L S, Stock, M, Terbiyik-Kurt, T, Valcárcel-Pérez, N, Vilgrain, L, Wacquet, G, Waite, A M & Irisson, JO 2022, ' Machine learning techniques to characterize functional traits of plankton from image data ', Limnology and Oceanography, vol. 67, no. 8, pp. 1647-1669 . https://doi.org/10.1002/lno.12101 Limnology And Oceanography (0024-3590) (Wiley), 2022-08, Vol. 67, N. 8, P. 1647-1669 LIMNOLOGY AND OCEANOGRAPHY e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía instname