Project papers

Project papers

Explaining decision of deep neural networks used for fish age prediction. Alba Ordoñes, Line Eikvil, Arnt-Børre Salberg, Alf Harbitz, Sean Meling Murray, and Michael C. Kampffmeyer. PLoS ONE 15(6), 2020


Acoustic classification in multifrequency echosounder data using deep convolutional neural networks. Olav Brautaset, Anders Ueland Waldeland, Espen Johnsen, Ketil Malde, Line Eikvil, Arnt-Børre Salberg, Nils Olav Handegard. ICES Journal of Marine Science, 2020


Machine intelligence and the data-driven future of marine science. Kjetil Malde, Nils Olav Handegard, Line Eikvil and Arnt-Børre Salberg. ICES Journal of Marine Science, 2019


Automatic interpretation of otoliths using deep learning. Endre Moen, Nils Olav Handegard, Vaneeda Allken, Ole Thomas Albert, Alf Harbitz and Kjetil Malde. Plos One, 2018.


Fish species identification using a convolutional neural network trained on synthetic data, Vaneeda Allken, Nils Olav Handegard, Shale Rosen, Tiffanie Schreyeck, Thomas Mahiout and Ketil Malde. ICES Journal of Marine Science, 2018