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Evaluation of echosounder data preparation strategies for modern machine learning models

dc.contributor.authorOrdonez, Alba
dc.contributor.authorUtseth, Ingrid
dc.contributor.authorBrautaset, Olav
dc.contributor.authorKorneliussen, Rolf
dc.contributor.authorHandegard, Nils Olav
dc.date.accessioned2022-10-12T09:04:32Z
dc.date.available2022-10-12T09:04:32Z
dc.date.created2022-06-29T08:24:50Z
dc.date.issued2022
dc.identifier.citationFisheries Research. 2022, 254 .en_US
dc.identifier.issn0165-7836
dc.identifier.urihttps://hdl.handle.net/11250/3025524
dc.language.isoengen_US
dc.titleEvaluation of echosounder data preparation strategies for modern machine learning modelsen_US
dc.title.alternativeEvaluation of echosounder data preparation strategies for modern machine learning modelsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.fishres.2022.106411
dc.identifier.cristin2035945
dc.source.journalFisheries Researchen_US
dc.source.volume254en_US
dc.source.pagenumber8en_US
dc.relation.projectNorges forskningsråd: 309512en_US
dc.relation.projectNorges forskningsråd: 270966en_US


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