Publication profile
Publication profile
Olav Brautaset
Name:
Olav Brautaset
Title:
Seniorforsker / Senior Research Scientist
Phone:
(+47) 22852631
Email:
Olav [dot] Brautaset [at] nr [dot] no
Scientific areas:
Machine learning, Deep learning, Image analysis
Add to contacts (vCard) Show publications
Academic journal articles
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. Institutional archive
Academic chapters
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.
Academic lectures
2019
Brautaset, Olav. Applying deep learning to non-standard image data - a case study on marine acoustics. Workshop, Northern Lights Deep Learning Workshop 2019; Tromsø, 09.01.2019 - 10.01.2019.
Brautaset, Olav; Handegard, Nils Olav. Automated acoustic data processing with deep learning. Workshop, Norway-US Workshop on Machine Learning to Improve Science for the Sustainability of Living Ocean Resources; Bergen, 23.05.2019 - 25.05.2019.
2016
Haugen, Stein; Edwin, Nathaniel John; Brautaset, Olav; Vinnem, Jan Erik. Quantitative risk analysis for decision support in process plant operations. Konferanse, 12th Global Congress on Process Safety; Houston, 10.04.2016 - 13.04.2016.
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. Konferanse, ESREL 2015; Zurich, 07.09.2015 - 10.09.2015.
Scientific lectures
2019
Brautaset, Olav. Automated acoustic data processing with deep learning. Seminar, AI lounge; Oslo, 28.05.2019.
| Name: | Olav Brautaset |
| Title: | Seniorforsker / Senior Research Scientist |
| Phone: | (+47) 22852631 |
| Email: | Olav [dot] Brautaset [at] nr [dot] no |
| Scientific areas: | Machine learning, Deep learning, Image analysis |
| Add to contacts (vCard) |
| Show publications |
Academic journal articles
2016Haugen, 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. Institutional archive
Academic chapters
2015Haugen, 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.
Academic lectures
2019Brautaset, Olav. Applying deep learning to non-standard image data - a case study on marine acoustics. Workshop, Northern Lights Deep Learning Workshop 2019; Tromsø, 09.01.2019 - 10.01.2019.
Brautaset, Olav; Handegard, Nils Olav. Automated acoustic data processing with deep learning. Workshop, Norway-US Workshop on Machine Learning to Improve Science for the Sustainability of Living Ocean Resources; Bergen, 23.05.2019 - 25.05.2019.
2016Haugen, Stein; Edwin, Nathaniel John; Brautaset, Olav; Vinnem, Jan Erik. Quantitative risk analysis for decision support in process plant operations. Konferanse, 12th Global Congress on Process Safety; Houston, 10.04.2016 - 13.04.2016.
2015Haugen, 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. Konferanse, ESREL 2015; Zurich, 07.09.2015 - 10.09.2015.
Scientific lectures
2019Brautaset, Olav. Automated acoustic data processing with deep learning. Seminar, AI lounge; Oslo, 28.05.2019.
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