62 citations · 81 across the 4 of their papers we have counts for
4 papers
FishNet: A Unified Embedding for Salmon Recognition
Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell +2
Identifying individual salmon can be very beneficial for the aquaculture industry as it enables monitoring and analyzing fish behavior and welfare. For aquaculture researchers iden…
Learning similarity measures from data
Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach +1
Defining similarity measures is a requirement for some machine learning methods. One such method is case-based reasoning (CBR) where the similarity measure is used to retrieve the…
Decision Support Systems in Fisheries and Aquaculture: A systematic review
Bjørn Magnus Mathisen, Peter Haro, Bård Hanssen +2
Decision support systems help decision makers make better decisions in the face of complex decision problems (e.g. investment or policy decisions). Fisheries and Aquaculture is a d…
Empirical Big Data Research: A Systematic Literature Mapping
Bjørn Magnus Mathisen, Leendert Wienhofen, Dumitru Roman
Background: Big Data is a relatively new field of research and technology, and literature reports a wide variety of concepts labeled with Big Data. The maturity of a research field…