Development and application of a machine learning algorithm for classification of elasmobranch behaviour from accelerometry data.

Brewster, L R; Dale, J J; Guttridge, T L; Gruber, S H; Hansell, A C; Elliott, M; Cowx, I G; Whitney, N M; Gleiss, A C

Brewster, L R; Dale, J J; Guttridge, T L; Gruber, S H; Hansell, A C; Elliott, M; Cowx, I G; Whitney, N M; Gleiss, A C.

Afiliação

Brewster LR; 1Bimini Biological Field Station Foundation, South Bimini, Bahamas.
Dale JJ; 2Institute of Estuarine and Coastal Studies, University of Hull, Hull, HU6 7RX UK.
Guttridge TL; 3Hull International Fisheries Institute, University of Hull, Hull, HU6 7RX UK.
Gruber SH; 4Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950 USA.
Hansell AC; 1Bimini Biological Field Station Foundation, South Bimini, Bahamas.
Elliott M; 1Bimini Biological Field Station Foundation, South Bimini, Bahamas.
Cowx IG; 5Division of Marine Biology and Fisheries, Rosenstiel School of Marine and Atmospheric Science, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.
Whitney NM; 6Department of Fisheries Oceanography, School for Marine Science and Technology, University of Massachusetts Dartmouth, 836 South Rodney French Blvd, New Bedford, MA 02719 USA.
Gleiss AC; 2Institute of Estuarine and Coastal Studies, University of Hull, Hull, HU6 7RX UK.

Mar Biol ; 165(4): 62, 2018.

Article em En | MEDLINE | ID: mdl-29563648

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Mar Biol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Bahamas País de publicação: Alemanha

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