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Publication profile

Publication profile

Olav Brautaset

Olav, Brautaset
Name: Olav Brautaset
Title: Seniorforsker / Senior Research Scientist
Phone: (+47) +47 22 85 26 31 Mob: +47 480 75 679
Email: obr [at] nr [dot] no
Scientific areas: Machine learning, Deep learning, Image analysis
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Academic article
2022
Ordonez, Alba; Utseth, Ingrid; Brautaset, Olav; Korneliussen, Rolf; Handegard, Nils Olav. Evaluation of echosounder data preparation strategies for modern machine learning models. Fisheries Research (ISSN 0165-7836). 254 doi: 10.1016/j.fishres.2022.106411. 2022. Arkiv
2021
Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Brautaset, Olav; Eikvil, Line; Jenssen, Robert. Semi-supervised target classification in multi-frequency echosounder data. ICES Journal of Marine Science (ISSN 1054-3139). 78(7) pp 2615-2627. doi: 10.1093/icesjms/fsab140. 2021. Arkiv Fulltekst
2020
Dahl, Fredrik Andreas; Holden, Marit; Brautaset, Olav; Eikvil, Line. A mammography classification model trained from image labels only. Proceedings of the Northern Lights Deep Learning Workshop. doi: 10.7557/18.6244. 2020.
Brautaset, Olav; Waldeland, Anders Ueland; Johnsen, Espen; Malde, Ketil; Eikvil, Line; Salberg, Arnt-Børre; Handegard, Nils Olav. Acoustic classification in multifrequency echosounder data using deep convolutional neural networks. ICES Journal of Marine Science (ISSN 1054-3139). 77(4) pp 1391-1400. doi: 10.1093/icesjms/fsz235. 2020. Arkiv
2016
Haugen, Stein; Edwin, Nathaniel John; Vinnem, Jan Erik; Brautaset, Olav; Nyheim, Ole Magnus; Zhu, Tiantian; Tuft, Vegard Larsen. Activity-based risk analysis for process plant operations. Institution of Chemical Engineers Symposium Series (ISSN 0307-0492). 2016-January(161) 2016. Arkiv
Academic chapter/article/Conference paper
2015
Haugen, Stein; Vinnem, Jan Erik; Brautaset, Olav; Bye, Rolf Johan; Nyheim, Ole Magnus; Seljelid, Jorunn; Wagnhild, Beate Riise. Risk information for operational decision making in oil and gas operations. In: Safety and Reliability of Complex Engineered Systems. (ISBN 9781138028791). pp 405-413. doi: 10.1201/b19094-57. 2015. Arkiv
Academic lecture
2021
Brautaset, Olav. Marine Acoustic Classification: Supervised Semantic Segmentation of Echosounder Data using CNNs. Visual Intelligence Seminar series; Online, 2/18/2021.
2019
Brautaset, Olav. Automatic fish identification from multi-frequency acoustic data using deep learning. ICES Annual Science Conference 2019, 9/9/2019.
Brautaset, Olav. Applying deep learning to non-standard image data - a case study on marine acoustics. Northern Lights Deep Learning Workshop 2019; Tromsø, 1/9/2019 - 1/10/2019.
Brautaset, Olav; Handegard, Nils Olav. Automated acoustic data processing with deep learning. Norway-US Workshop on Machine Learning to Improve Science for the Sustainability of Living Ocean Resources; Bergen, 5/23/2019 - 5/25/2019.
2016
Haugen, Stein; Edwin, Nathaniel John; Brautaset, Olav; Vinnem, Jan Erik. Quantitative risk analysis for decision support in process plant operations. 12th Global Congress on Process Safety; Houston, 4/10/2016 - 4/13/2016.
2015
Haugen, Stein; Vinnem, Jan Erik; Brautaset, Olav; Bye, Rolf Johan; Nyheim, Ole Magnus; Seljelid, Jorunn; Wagnild, Beate Riise. Risk information for operational decision making in oil and gas operations. ESREL 2015; Zurich, 9/7/2015 - 9/10/2015.
Lecture
2020
Brautaset, Olav. Automatic target classification using supervised learning on marine acoustic data with auxiliary information. Classifying fisheries acoustic data, 11/9/2020.
2019
Brautaset, Olav. Automated acoustic data processing with deep learning. AI lounge; Oslo, 5/28/2019.
Poster
2022
Dahl, Fredrik Andreas; Holden, Marit; Brautaset, Olav; Eikvil, Line. A mammography classification model trained from image labels only. NLDL 2022; Online, 1/10/2022.
2021
Utseth, Ingrid; Ordonez, Alba; Eikvil, Line; Brautaset, Olav; Salberg, Arnt-Børre; Handegard, Nils Olav. Improving marine acoustic target classification with context information. Visual Intelligence Days 2021; Oslo, 10/19/2021 - 10/20/2021.
Report
2022
Eikvil, Line; Dahl, Fredrik Andreas; Holden, Marit; Brautaset, Olav; Hofvind, Solveig; Aglen, Camilla Flåt; Larsen, Marthe. Procedures for mammographic screening with machine learning. Norsk Regnesentral. NR-notat SAMBA/17/22. pp 16. 2022.
Dahl, Fredrik Andreas; Holden, Marit; Brautaset, Olav; Eikvil, Line. Machine learning for screening mammography. Norsk Regnesentral. NR-notat SAMBA/18/22. pp 33. 2022.
2021
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. Fisheries acoustics and Acoustic Target Classification - Report from the COGMAR/CRIMAC workshop on machine learning methods in fisheries acoustics. Havforskningsinstituttet. Rapport fra havforskningen 2021 - 25. pp 25. 2021. Fulltekst Arkiv
Eikvil, Line; Holden, Marit; Holden, Lars; Brautaset, Olav. Machine learning for screening mammography. Norsk Regnesentral. NR-notat SAMBA/05/21. pp 52. 2021.
2020
Eikvil, Line; Ordonez, Alba; Brautaset, Olav. Feasibility study: Non-verbal communication interpreter - Image-based methodological approaches. norsk regnesentral. NR-notat SAMBA/03/20. pp 49. 2020.
Eikvil, Line; Holden, Marit; Holden, Lars; Brautaset, Olav. Machine learning for screening mammography - Initial analyses on a first limited dataset. Norsk Regnesentral. NR-notat SAMBA/16/20. pp 45. 2020.
Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR