Rubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Destro Barcellos, Diogo; Devos, Paul; Fernandes-Salvador, Jose A; Fincham, Jennifer I; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; Van den Bulcke, Laure; van Helmond, Aloysius T M; Watson, Jordan T; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David S; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens M; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier
ICES Journal of Marine Science (Oxford University Press (OUP), 2023)
Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific ...