Blar i Bergen Open Research Archive på forfatter "Howell, Kerry L."

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    • A Blueprint for an Inclusive, Global Deep-Sea Ocean Decade Field Program 

      Howell, Kerry L.; Hilário, Ana; Allcock, A. Louise; Bailey, David M; Baker, Maria; Clark, Malcolm R.; Colaço, Ana; Copley, Jon; Cordes, Erik; Danovaro, Roberto; Dissanayake, Awantha; Escobar, Elva; Esquete, Patricia; Gallagher, Austin J; Gates, Andrew R.; Gaudron, Sylvie M.; German, Christopher R.; Gjerde, Kristina M; Higgs, Nicholas D.; Le Bris, Nadine; Levin, Lisa A.; Manea, Elisabetta; McClain, Craig; Menot, Lenaick; Mestre, Nélia C.; Metaxas, Anna; Milligan, Rosanna J; Muthumbi, Agnes WN; Narayanaswamy, Bhavani E.; Ramalho, Sofia P.; Ramirez-Llodra, Eva; Robson, Laura M; Rogers, Alex D.; Sellanes, Javier; Sigwart, Julia D.; Sink, Kerry; Snelgrove, Paul V. R.; Stefanoudis, Paris V.; Sumida, Paulo Y.; Taylor, Michelle L.; Thurber, Andrew R.; Vieira, Rui P; Watanabe, Hiromi K.; Woodall, Lucy C.; Xavier, Joana R. (Journal article; Peer reviewed, 2020)
      The ocean plays a crucial role in the functioning of the Earth System and in the provision of vital goods and services. The United Nations (UN) declared 2021–2030 as the UN Decade of Ocean Science for Sustainable Development. ...

    • A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses 

      Howell, Kerry L.; Davies, Jaime S.; Allcock, Louise; Braga-Henriques, Andreia; Buhl-Mortensen, Pål; Carreiro-Silva, Marina; Dominguez-Carrio, Carlos; Durden, Jennifer M.; Foster, Nicola L.; Game, Chloe A.; Hitchin, Becky; Horton, Tammy; Hosking, Brett; Jones, Daniel O.B.; Mah, Christopher L.; Laguionie Marchais, Claire; Menot, Lenaick; Morato, Telmo; Pearman, Tabitha R.R.; Ross, Rebecca; Ruhl, Henry A.; Saeedi, Hanieh; Stefanoudis, Paris V.; Taranto, Gerald H.; Thompson, Michael B.; Taylor, James R.; Tyler, Paul A.; Vad, Johanne; Victorero, Lissette; Vieira, Rui P.; Woodall, Lucy C.; Xavier, Joana R.; Wagner, Daniel (Peer reviewed; Journal article, 2019-12-31)
      Video and image data are regularly used in the field of benthic ecology to document biodiversity. However, their use is subject to a number of challenges, principally the identification of taxa within the images without ...

    • Machine learning in marine ecology: an overview of techniques and applications 

      Rubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Desto Barcellos, Diogo; DeVos, Paul; Fernandes-Salvador, Jose A; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry L.; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris V.; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; Van den Bulcke, Laure; van Helmond, Aloysius; Watson, Jordan T.; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David S.; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens M.; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier (Journal article; Peer reviewed, 2023)
      Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific ...