Blar i Publikasjoner fra Cristin 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) -
Fisheries acoustics and Acoustic Target Classification - Report from the COGMAR/CRIMAC workshop on machine learning methods in fisheries acoustics
Handegard, Nils Olav; Andersen, Lars Nonboe; Brautaset, Olav; Choi, Changkyu; Eliassen, Inge Kristian; Heggelund, Yngve; Hestnes, Arne Johan; Malde, Ketil; Osland, Håkon; Ordonez, Alba; Patel, Ruben; Pedersen, Geir; Umar, Ibrahim; Engeland, Tom Van; Vatnehol, Sindre (Rapport fra havforskningen;, Research report, 2021)This report documents a workshop organised by the COGMAR and CRIMAC projects. The objective of the workshop was twofold. The first objective was to give an overview of ongoing work using machine learning for Acoustic Target ... -
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 ...