Ingrid Utseth

Implementing uncrewed surface vehicles in existing acoustic trawl surveys: data infrastructure, remote operating centre, edge computing, data compression and transfer, data quality monitoring, and automated target classification 2025. Scientific lecture

Deep learning methods for acoustic target classification 2025. Other presentation

Deep learning for marine acoustics: Leveraging data with strong, weak and no labels 2025. Lecture

Leveraging Data with Strong, Weak and No Labels in Marine Acoustics 2025. Poster

Integrating and assessing machine learning acoustic target classification models for fish survey estimations ICES Journal of Marine Science, vol. 82, (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsaf069 , 2025. Scientific article

Nils Olav Handegard; Leif Bildøy; Olav Brautaset; Tomasz Furmanek; Arne Johannes Holmin; et al. Analysing large amounts of echosounder data using cloud based data access combined with deep learning models , 2024. Scientific lecture

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with foundation models for cardiac ultrasound images 2024. Report

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Detection of timing events in cardiac ultrasound 2024. Report

Trenton Schulz; Ingrid Utseth; Summary rock-paper-scissors robot 2024 2024. Report

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Poster

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Lecture

A Rock, Paper, Scissors Robot for Engaging Interest in Research pp. 450 452 , doi: https://doi.org/10.1145/3687272.3690914 , 2024. Scientific chapter / article / conference article

A Rock, Paper, Scissors Robot for Engaging Interest in Research , 2024. Poster

Exploring the Use of AI for Enhanced Accessibility Testing of Web Solutions pp. 453 460 , doi: https://doi.org/10.3233/SHTI241041 , 2024. Scientific chapter / article / conference article

Nils Olav Handegard; Leif Bildøy; Olav Brautaset; Tomasz Furmanek; Arne Johannes Holmin; et al. Fisheries acoustics and deep learning , 2024. Scientific lecture

Till Halbach; Anders U. Waldeland; Ingrid Utseth; Kristin Skeide Fuglerud; GB-prosjektet AI-basert UU-tilsyn 2023. Report

Trenton Schulz; Ingrid Utseth; Oppsummering: stein-saks-papir robot 2023. Report

Olav Brautaset; Ingrid Utseth; Line Eikvil; Arnt-Børre Salberg; Nils Olav Handegard; Learning from weakly labelled marine acoustic data 2023. Scientific lecture

Nils Olav Handegard; Leif Bildøy; Olav Brautaset; Tomasz Furmanek; Arne Johannes Holmin; et al. A story about data extraction and deep learning applied to fishery acoustic data 2023. Scientific lecture

Olav Brautaset; Ingrid Utseth; Line Eikvil; Arnt-Børre Salberg; Nils Olav Handegard; Learning from weakly labelled marine acoustic data 2023. Poster

Addressing class imbalance in deep learning for acoustic target classification ICES Journal of Marine Science, vol. 80, pp. 2530 2544 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsad165 , 2023. Scientific article

Forsker Ingrid har vært på tokt , 2023. Popular science hosting

CRIMAC cruise report: Development of acoustic and optic methods for underwater target calssification - G.O. Sars 22.11 - 03.12 2022 , 2023. Report

Nils Olav Handegard; Tonny Algrøy; Inge Kristian Eliassen; Tonje Nesse Forland; Espen Johnsen; et al. Centre for research based innovation in marine acoustic abundance estimation and backscatter classification (CRIMAC) , 2023. Poster

Ingrid Utseth; Alba Ordonez; Line Eikvil; Olav Brautaset; Arnt Børre Salberg; et al. Improving marine acoustic target classification with context information 2022. Poster

Nils Olav Handegard; Olav Brautaset; Changkyu Choi; Tomasz Furmanek; Arne Johan Hestnes; et al. Developing and deploying machine learning methods for acoustic data , 2022. Scientific lecture

Evaluation of echosounder data preparation strategies for modern machine learning models Fisheries Research, vol. 254, (ISSN 0165-7836 1872-6763 ), doi: https://doi.org/10.1016/j.fishres.2022.106411 , 2022. Scientific article

Alba Ordonez; Ingrid Utseth; Line Eikvil; Nils Olav Handegard; Using model averaging ensembles in semantic segmentation of marine echosounder data for acoustic classification of species 2021. Scientific lecture

Ingrid Utseth; Alba Ordonez; Line Eikvil; Olav Brautaset; Arnt-Børre Salberg; et al. Improving marine acoustic target classification with context information 2021. Poster