Machine learning in marine ecology: an overview of techniques and applications (2023)
Rubbens, Peter 
; Brodie, Stephanie ; Cordier, Tristan ; Barcellos, Diogo Destro ; Devos, Paul ; Fernandes-Salvador, Jose A. ; Fincham, Jennifer I. ; Gomes, Alessandra C. S.; Handegard, Nils Olav ; Howell, Kerry ; Jamet, Cédric ; Kartveit, Kyrre Heldal ; Moustahfid, Hassan ; Parcerisas, Clea ; Politikos, Dimitris ; Sauzède, Raphaëlle ; Sokolova, Maria ; Uusitalo, Laura ; Bulcke, Laure Van den ; Helmond, Aloysius T M van ; Watson, Jordan T. ; Welch, Heather ; Beltran-Perez, Oscar ; Chaffron, Samuel ; Greenberg, David S. ; Kühn, Bernhard; Kiko, Rainer ; Lo, Madiop; Lopes, Rubens Mendes ; Möller, Klas Ove ; Michaels, William ; Pala, Ahmet ; Romagnan, Jean-Baptiste ; Schuchert, Pia ; Seydi, Vahid ; Villasante, Sebastian ; Malde, Ketil ; Irisson, Jean-Olivier
Fonte: ICES Journal of Marine Science (print). Unidade: IO
Assuntos: ACÚSTICA, ECOLOGIA, APRENDIZADO COMPUTACIONAL, SENSORIAMENTO REMOTO
ABNT
RUBBENS, Peter et al. Machine learning in marine ecology: an overview of techniques and applications. ICES Journal of Marine Science (print), v. 80, n. 7, p. 1829-1853, 2023Tradução . . Disponível em: https://doi.org/10.1093/icesjms/fsad100. Acesso em: 15 nov. 2024.APA
Rubbens, P., Brodie, S., Cordier, T., Barcellos, D. D., Devos, P., Fernandes-Salvador, J. A., et al. (2023). Machine learning in marine ecology: an overview of techniques and applications. ICES Journal of Marine Science (print), 80( 7), 1829-1853. doi:10.1093/icesjms/fsad100NLM
Rubbens P, Brodie S, Cordier T, Barcellos DD, Devos P, Fernandes-Salvador JA, Fincham JI, Gomes ACS, Handegard NO, Howell K, Jamet C, Kartveit KH, Moustahfid H, Parcerisas C, Politikos D, Sauzède R, Sokolova M, Uusitalo L, Bulcke LV den, Helmond ATM van, Watson JT, Welch H, Beltran-Perez O, Chaffron S, Greenberg DS, Kühn B, Kiko R, Lo M, Lopes RM, Möller KO, Michaels W, Pala A, Romagnan J-B, Schuchert P, Seydi V, Villasante S, Malde K, Irisson J-O. Machine learning in marine ecology: an overview of techniques and applications [Internet]. ICES Journal of Marine Science (print). 2023 ; 80( 7): 1829-1853.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1093/icesjms/fsad100Vancouver
Rubbens P, Brodie S, Cordier T, Barcellos DD, Devos P, Fernandes-Salvador JA, Fincham JI, Gomes ACS, Handegard NO, Howell K, Jamet C, Kartveit KH, Moustahfid H, Parcerisas C, Politikos D, Sauzède R, Sokolova M, Uusitalo L, Bulcke LV den, Helmond ATM van, Watson JT, Welch H, Beltran-Perez O, Chaffron S, Greenberg DS, Kühn B, Kiko R, Lo M, Lopes RM, Möller KO, Michaels W, Pala A, Romagnan J-B, Schuchert P, Seydi V, Villasante S, Malde K, Irisson J-O. Machine learning in marine ecology: an overview of techniques and applications [Internet]. ICES Journal of Marine Science (print). 2023 ; 80( 7): 1829-1853.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1093/icesjms/fsad100
