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)

An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning. - Martin Holen; Kristian Muri Knausgård; Morten Goodwin (INTAP, 2021)

Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems. - Kristian Muri Knausgård; Siv Lene Gangenes Skar; Filippo Sanfilippo; Albert Buldenko; Henning Lindheim; Jakob Lunde; Eligijus Sukarevicius; Kjell G. Robbersmyr (INTAP, 2021)

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)

An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. - Aditya Gupta; Even Bringsdal; Nicole Salbuvik; Kristian Muri Knausgård; Morten Goodwin (EANN, 2022)

Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. - Martin Holen; Else-Line Malene Ruud; Narada Dilp Warakagoda; Morten Goodwin; Paal Engelstad; Kristian Muri Knausgård (EANN, 2022)

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)

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars. - Martin Holen; Kristian Muri Knausgård; Morten Goodwin (Informatics, 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)

Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning. - Martin Holen; Per-Arne Andersen; Kristian Muri Knausgård; Morten Goodwin (CoRR, 2023)

Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction. - Martin Holen; Jayant Singh; Christian W. Omlin; Jing Zhou 002; Kristian Muri Knausgård; Morten Goodwin (SGAI Conf. (2), 2024)

Gaussian Splatting: 3D Reconstruction and Novel View Synthesis: A Review. - Anurag Dalal; Daniel Hagen; Kjell G. Robbersmyr; Kristian Muri Knausgård (IEEE Access, 2024)