Blar i Brage IMR på forfatter "Cordier, Tristan"

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    • Ecosystems monitoring powered by environmental genomics: a review of current strategies with an implementation roadmap 

      Cordier, Tristan; Alonso Sáez, Laura; Apothéloz-Perret-Gentil, Laure; Aylagas, Eva; Bohan, David A.; Bouchez, Agnès; Chariton, Anthony; Creer, Simon; Frühe, Larissa; Keck, François; Keeley, Nigel B.; Laroche, Olivier; Leese, Florian; Pochon, Xavier; Stoeck, Thorsten; Pawlowski, Jan; Lanzén, Anders (Peer reviewed; Journal article, 2021)
      A decade after environmental scientists integrated high-throughput sequencing technologies in their toolbox, the genomics-based monitoring of anthropogenic impacts on the biodiversity and functioning of ecosystems is yet ...

    • 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 (Peer reviewed; Journal article, 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 ...