Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea

• Published in: Machine Learning
• Main Authors: Cazau, Dorian, Nguyen Hong Duc, P., Druon, J.-N., Matwins, S., Fablet, Ronan
• Other Authors: Equipe Observations Signal & Environnement (Lab-STICC_OSE), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Institut Jean Le Rond d'Alembert (DALEMBERT), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), European Commission - Joint Research Centre Ispra (JRC), Dalhousie University Halifax, Département Mathematical and Electrical Engineering (IMT Atlantique - MEE), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Interdisciplinary Graduate School for the Blue planet, ANR-17-EURE-0015,ISBlue,Interdisciplinary Graduate School for the Blue planet(2017)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2021
• Subjects: Ecosystems; Fins (heat exchange); Knowledge based systems; Learning systems; Multi-task learning; Stochastic models; Stochastic systems; Transfer learning; Environmental conditions; Fully connected neural network; Generalized additive model; Learning based schemes; Model generalization; Receiver operating characteristic curves; Species-environment relationships; Western Mediterranean Sea; [SDE]Environmental Sciences; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; Gam; Balaenoptera physalus
• Online Access: https://hal.univ-brest.fr/hal-03324461; https://doi.org/10.1007/s10994-021-06029-z

International audience Cetacean Distribution Modeling (CDM) is used to quantify mobile marine species distributions and densities. It is essential to better understand and protect whales and their relatives. Current CDM approaches often fail in capturing general species-environment relationships, wh...