The REDUS project is coming to an end. Join us for a three-day online seminar Dec 2nd - 4th (11-14 CET) to learn about our achievements to quantify and reduce the uncertainty in fisheries stock assessment.
https://t.co/04tYbGcsSF
Automatic segmentation of fish using deep learning with application to fish size measurement. New paper from @redusproject@Havforskningen in ICES JMS
https://t.co/V8Jk7XHJAQ
Assessing fish biomass using horisontal fisheries sonars is not as easy as hoped. New article by @nilsolavh & @SVatnehol in @ASA_JASA explores bias sources
Vi arrangerer et åpent seminar om usikkerhet i fiskeriforskning / rådgiving sammen med @pelagiskf på Bekkjarvik mandag 17/9 kl 12.
Vel møtt!
https://t.co/KyB3VMElXT
Novel automatic method for identification of fish schools from sonar data. New research by @Havforskningen@redusproject team: Sindre Vatneho, Hector Pena & @nilsolavh
A cautionary note about the blind faith that is being invested in results obtained from algorithms that are fast, and proven to have machine precision.
New #REDUS paper by Sam Subbey.
https://t.co/16Aicp6zZ5
Modelled effects of ocean acidification have stronger effects on 8 marine ecosystems worldwide than increasing protection or altering fishing. New research by @erikjsolsen et al in @FrontMarineSci https://t.co/q1M0NmOj0l
Workshop @Havforskningen for interpretation of acoustic survey data from demersal fish surveys. A step towards reducing uncertainty in our survey estimates. @redusproject
Realistic parameter estimation of fisheries stock-recruitment using b-splines. No need to choose functional form a-priori. New science from @redusproject
https://t.co/WEG0iycTDr