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Munin - Open Research Archive
Article . 2022 . Peer-reviewed
License: CC BY
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Fish AI: Sustainable Commercial Fishing Challenge

Authors: Nordmo, Tor-Arne Schmidt; Kvalsvik, Ove; Kvalsund, Svein Ove; Hansen, Birte; Halvorsen, Pål; Hicks, Steven; Johansen, Dag; +2 Authors

Fish AI: Sustainable Commercial Fishing Challenge

Abstract

FishAI: Sustainable Commercial Fishingis the second chal-lenge at theNordic AI Meetfollowing the successful MedAI,which had a focus on medical image segmentation and trans-parency in machine learning (ML)-based systems. FishAI fo-cuses on a new domain, namely, commercial fishing and howto make it more sustainable with the help of machine learning.A range of public available datasets is used to tackle three spe-cific tasks. The first one is to predict fishing coordinates tooptimize catching of specific fish, the second one is to createa report that can be used by experienced fishermen, and thethird task is to make a sustainable fishing plan that provides aroute for a week. The second and third task require to someextend explainable and interpretable models that can provideexplanations. A development dataset is provided and all meth-ods will be tested on a concealed test dataset and assessed byan expert jury.

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Norway
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Keywords

VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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