Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation. - Erlend Olsvik; Christian M. D. Trinh; Kristian Muri Knausgård; Arne Wiklund; Tonje Knutsen Sørdalen; Alf Ring Kleiven; Lei Jiao 001; Morten Goodwin (IEA/AIE, 2019)

Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. - Morten Goodwin; Kim Tallaksen Halvorsen; Lei Jiao 001; Kristian Muri Knausgård; Angela Helen Martin; Marta Moyano; Rebekah A. Oomen; Jeppe Have Rasmussen; Tonje Knutsen Sørdalen; Susanna Huneide Thorbjørnsen (CoRR, 2021)

Temperate fish detection and classification: a deep learning based approach. - Kristian Muri Knausgård; Arne Wiklund; Tonje Knutsen Sørdalen; Kim Tallaksen Halvorsen; Alf Ring Kleiven; Lei Jiao 001; Morten Goodwin (Appl. Intell., 2022)

A contrastive learning approach for individual re-identification in a wild fish population. - Ørjan Langøy Olsen; Tonje Knutsen Sørdalen; Morten Goodwin; Ketil Malde; Kristian Muri Knausgård; Kim Tallaksen Halvorsen (NLDL, 2023)

Trajectory-based fish event classification through pre-training with diffusion models. - Noemi Canovi; Benjamin A. Ellis; Tonje Knutsen Sørdalen; Vaneeda Allken; Kim Tallaksen Halvorsen; Ketil Malde; Cigdem Beyan (Ecol. Informatics, 2024)