Parelius Jonasova, Eleonora. A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images. Remote Sensing 2023 ;Volum 15.(8)

Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E.; Knausgård, Kristian Muri. Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. I: Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. Springer Nature 2022 ISBN 978-3-031-08223-8

Clausen, Henry; Grov, Gudmund; Aspinall, David. CBAM: A Contextual Model for Network Anomaly Detection. Computers 2021 ;Volum 10.(6)

Vedeler, Alexandra Skau; Warakagoda, Narada Dilp. Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle. Proceedings of the Northern Lights Deep Learning Workshop 2020 ;Volum 1.

Gusland, Daniel; Rolfsjord, Sigmund Johannes Ljosvoll; Torvik, Børge. Deep temporal detection - A machine learning approach to multiple-dwell target detection. IEEE International Conference on Radar 2020