Blar i Vitenskapelige tidsskriftartikler og konferanseartikler med fagfellevurdering (NVI-kategori) på forfatter "Brautaset, Olav"
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Acoustic classification in multifrequency echosounder data using deep convolutional neural networks
Brautaset, Olav; Waldeland, Anders Ueland; Johnsen, Espen; Malde, Ketil; Eikvil, Line; Salberg, Arnt-Børre; Handegard, Nils Olav (Journal article; Peer reviewed, 2020)Acoustic target classification is the process of assigning observed acoustic backscattering intensity to an acoustic category. A deep learning strategy for acoustic target classification using a convolutional network is ... -
Evaluation of echosounder data preparation strategies for modern machine learning models
Ordonez, Alba; Utseth, Ingrid; Brautaset, Olav; Korneliussen, Rolf; Handegard, Nils Olav (Journal article; Peer reviewed, 2022) -
A mammography classification model trained from image labels only
Dahl, Fredrik Andreas; Holden, Marit; Brautaset, Olav; Eikvil, Line (Journal article; Peer reviewed, 2022) -
Semi-supervised target classification in multi-frequency echosounder data
Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Brautaset, Olav; Eikvil, Line; Jenssen, Robert (Journal article; Peer reviewed, 2021)Acoustic target classification in multi-frequency echosounder data is a major interest for the marine ecosystem and fishery management since it can potentially estimate the abundance or biomass of the species. A key problem ... -
A two-stage mammography classification model using explainable-AI for ROI detection
Dahl, Fredrik Andreas; Brautaset, Olav; Holden, Marit; Eikvil, Line; Larsen, Marthe; Hofvind, Solveig Sand-Hanssen (Journal article; Peer reviewed, 2023)This study introduces an enhanced version of a two-stage modelling approach using artificial intelligence (AI) for breast cancer detection in mammography screening. Leveraging a large dataset of 2,863,175 mammograms from ...