• Advice on fishing opportunities for Barents Sea capelin in 2024 — ICES subareas 1 and 2 excluding Division 2.a west of 5°W 

      Howell, Daniel; Nielsen, Anders; Stock, Brian; Ono, Kotaro; Clain, Laura; Fossheim, Maria; Wenneck, Thomas de Lange; Harbitz, Alf; Rodriguez, Alfonso Pérez; Iriondo, Ane; Staby, Arved; Bogstad, Bjarte; Husson, Berengere; Marshall, C. Tara; Tranang, Caroline Aas; Johannesen, Edda; Vozgirdas, Eduardas; Eriksen, Elena; Eidset, Elise; Hallfredsson, Elvar H.; Berg, Erik; Skaret, Georg; Höffle, Hannes; Jacobsen, Jan Arge; Stiansen, Jan Erik; Godiksen, Jane Aanestad; Janusz, Jerzy; Fall, Johanna Jennifer Elisabeth; Trochta, John Tyler; Gondra, Jon Ruiz (Research report; Forskningsrapport, 2023-10-16)
    • Age prediction by deep learning applied to Greenland halibut (Reinhardtius hippoglossoides) otolith images 

      Martinsen, Ivar; Harbitz, Alf; Bianchi, Filippo Maria (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-04)
      Otoliths (ear-stones) in the inner ears of vertebrates containing visible year zones are used extensively to determine fish age. Analysis of otoliths is a time-consuming and difficult task that requires the education of human experts. Human age estimates are inconsistent, as several readings by the same human expert might result in different ages assigned to the same otolith, in addition to an ...
    • Explaining decisions of deep neural networks used for fish age prediction 

      Ordonez, Alba; Eikvil, Line; Salberg, Arnt-Børre; Harbitz, Alf; Murray, Sean Meling; Kampffmeyer, Michael (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-19)
      Age-reading of fish otoliths (ear stones) is important for the sustainable management of fish resources. However, the procedure is challenging and requires experienced readers to carefully examine annual growth zones. In a recent study, convolutional neural networks (CNNs) have been demonstrated to perform reasonably well on automatically predicting fish age from otolith images. In the present study, ...