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Machine learning in marine ecology: an overview of techniques and applications
Peter Rubbens, Stephanie Brodie, Tristan Cordier, D Destro Barcellos, Paul Devos, Jose A. Fernandes-Salvador, Jennifer I. Fincham, Alessandra Gomes, Nils Olav Handegard, Kerry Howell, Cédric Jamet, Kyrre Heldal Kartveit, Hassan Moustahfid, Clea Parcerisas, Dimitris Politikos, Raphaëlle Sauzède, Maria Sokolova, Laura Uusitalo, L Van den Bulcke, ATM van Helmond
*Corresponding author for this work
- Kytos Bv
- Vlaams Instituut voor de Zee
- University of California at Santa Cruz
- Bjerknes Centre for Climate Research
- University of Geneva
- Ghent University
- Basque Research and Technology Alliance (BRTA)
- Centre for the Environment Fisheries and Aquaculture Science
- Universidade de São Paulo
- Institute of Marine Research
- Université du Littoral Côte-d'Opale
- National Oceanic and Atmospheric Administration
- Hellenic Centre for Marine Research
- Sorbonne Université
- Wageningen University & Research
- Finnish Environment Institute
- Luke Natural Resources Institute Finland
- University of Hawai'i at Mānoa
- Leibniz Institute for Baltic Sea Research
- Ecole Centrale de Nantes
- FR2022/Tara Oceans GOSEE
- Helmholtz-Zentrum Hereon
- Johann Heinrich von Thunen Institute
- Helmholtz Centre for Ocean Research Kiel
- Campus de Luminy
- University of Bergen
- Agrocampus Ouest
- Fisheries and Aquatic Ecosystems Branch
- Bangor University
- University of Santiago de Compostela
Research output: Contribution to journal › Article › peer-review
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