2023
Age interpretation of cod otoliths using deep learning
Endre Moen, Rune Vabø, Szymon Smolinski, Côme Denechaud, Nils Olav Handegard, Ketil Malde
Ecological Informatics
2022
DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images
Dimitris V. Politikos, Nikolaos Sykiniotis, Georgios Petasis, Pavlos Dedousis, Alba Ordonez, Rune Vabø, Aikaterini Anastasopoulou, Endre Moen, Chryssi Mytilineou, Arnt-Børre Salberg, Archontia Chatzispyrou, Ketil Malde
Fishes
7
2021
Automatic interpretation of salmon scales using deep learning
Rune Vabø, Endre Moen, Szymon Smolinski, Åse Husebø, Nils Olav Handegard, Ketil Malde
Ecological Informatics
63
2012
Environmental risk assessment of alkylphenols from offshore produced water on fish reproduction
Jonny Beyer, Lars Petter Myhre, Rolf Sundt, Sonnich Meier, Knut-Erik Tollefsen, Rune Vabø, Jarle Klungsøyr, Steinar Sanni
Marine Environmental Research
75
p. 2-9
2006
A standard protocol for describing individual-based and agent-based models
Volker Grimm, Uta Berger, Finn Bastiansen, Sigrunn Eliassen, Vincent Ginot, Jarl Giske, John Goss-Custard, Tamara Grand, Simone K. Heinz, Geir Huse, Andreas Huth, Jane U. Jepsen, Christian Jørgensen, Wolf M. Mooij, Birgit Müller, Guy Pe'er, Cyril Piou, Steven F. Railsback, Andrew M. Robbins, Martha M. Robbins, Eva Rossmanith, Nadja Rüger, Espen Strand, Sami Souissi, Richard A. Stillman, Rune Vabø, Ute Visser, Donald L. DeAngelis
Ecological Modelling
198
p. 115-126
2004
Simulating search behaviour of fish towards bait
Rune Vabø, Geir Huse, Anders Fernø, Terje Jørgensen, Svein Løkkeborg, Georg Skaret
ICES Journal of Marine Science
61
p. 1224-1232
1997
An individual based model of fish school reactions: predicting antipredator behaviour as observed in nature
Rune Vabø, Leif Nøttestad
Fisheries Oceanography
6
p. 155-171
1997
Individual based model of fish schooling reactions: Prediction of antipredator behaviour as observed in nature.
Rune Vabø, Leif Nøttestad
Fisheries Oceanography
6
p. 155-171
2022
An online otolith age reader using deep neural networks: Perspectives and challenges
Dimitris V. Politikos, Nikolaos Sykiniotis, Georgios Petasis, Pavlos Dedousis, Alba Ordonez, Rune Vabø, Aikaterini Anastasopoulou, Endre Moen, Chryssi Mytilineou, Arnt-Børre Salberg, Archontia Chatzispyrou, Ketil Malde
2022
Exploring imaging protocols and neural network architectures for automated otolith analysis
Endre Moen, Rune Vabø, Come Denechaud, Szymon Smolinski, Ketil Malde
2011
Effects of alkylphenols in offshore oil industry produced water on reproduction in North Sea fish stocks: An environmental risk assessment
Jonny Beyer, Lars Petter Myhre, R.C. Sundt, S Meier, KE Tollefsen, Rune Vabø, J. Klungsøyr, Steinar Sanni
2006
How and why acoustic detectability and catchability of herring change with individual motivation and physiological state in a variable environment: a multi-scale study on a local herring population in southwestern Norway
Lise Langård, Leif Nøttestad, Arne Johannessen, Anders Fernø, Jan Tore Øvredal, Rune Vabø, Georg Skaret, Gro Nilsson
2006
From individual decisions to school dynamics of herring: Linking acoustic observations with individual based models
Rune Vabø, Bjørn Erik Eversvik Axelsen, Leif Nøttestad, Georg Skaret
2005
A natural "model" environment (MARE MINIMUM) for studies of ecosystem dynamics with emphasis on herring pre-spawning dynamics
Arne Johannessen, Leif Nøttestad, Bjørn Erik E Axelsen, Anders Fernø, Rune Vabø, Jan Tore Øvredal
2020
Automatic interpretation of salmon scales using deep learning
Rune Vabø, Endre Moen, Hyeongji Kim, Nils Olav Handegard, Ketil Malde
2006
Science through a camera lens: Why do fish swim in circles
Gro Nesheim Nilsson, Anders Fernö, Leif Nøttestad, Rune Vabø, Arne Johannessen, Georg Skaret
2004
Fenomenet stiming: hva er likheten mellom en fiskestim og bølgen på stadion?
Leif Nøttestad, Georg Skaret, Rune Vabø