• Animal-borne telemetry: An integral component of the ocean observing toolkit 

      Harcourt, Rob; Sequeira, Ana M.M.; Zhang, Xuelei; Roquet, Fabien; Komatsu, Kosei; Heupel, Michelle; McMahon, Clive; Whoriskey, Fred; Meekan, Mark; Carroll, Gemma; Brodie, Stephanie; Simpfendorfer, Colin; Hindell, Mark; Jonsen, Ian; Costa, Daniel P.; Block, Barbara; Muelbert, Mônica; Woodward, Bill; Weise, Mike; Aarestrup, Kim; Biuw, Martin; Boehme, Lars; Bograd, Steven J.; Cazau, Dorian; Charrassin, Jean-Benoit; Cooke, Steven J.; Cowley, Paul; de Bruyn, P.J. Nico; Jeanniard du Dot, Tiphaine; Duarte, Carlos; Eguíluz, Victor M.; Ferreira, Luciana C.; Fernández-Gracia, Juan; Goetz, Kimberly; Goto, Yusuke; Guinet, Christophe; Hammill, Mike; Hays, Graeme C.; Hazen, Elliott L.; Hückstädt, Luis A.; Huveneers, Charlie; Iverson, Sara; Jaaman, Saifullah Arifin; Kittiwattanawong, Kongkiat; Kovacs, Kit M.; Lydersen, Christian; Moltmann, Tim; Naruoka, Masaru; Phillips, Lachlan; Picard, Baptiste; Queiroz, Nuno; Reverdin, Gilles; Sato, Katsufumi; Sims, David W.; Thorstad, Eva Bonsak; Thums, Michele; Treasure, Anne M.; Trites, Andrew W.; Williams, Guy D.; Yonehara, Yoshinari; Fedak, Mike A. (Journal article; Peer reviewed, 2019)
      Animal telemetry is a powerful tool for observing marine animals and the physical environments that they inhabit, from coastal and continental shelf ecosystems to polar seas and open oceans. Satellite-linked biologgers and ...
    • Machine learning in marine ecology: an overview of techniques and applications 

      Rubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Desto Barcellos, Diogo; DeVos, Paul; Fernandes-Salvador, Jose A; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry L.; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris V.; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; Van den Bulcke, Laure; van Helmond, Aloysius; 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 (Peer reviewed; Journal article, 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 ...