Ingrid Utseth

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

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

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

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. Faglig foredrag

Trenton Schulz; Ingrid Utseth; A Rock, Paper, Scissors Robot for Engaging Interest in Research pp. 450 452 , doi: https://doi.org/10.1145/3687272.3690914 , 2024. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Trenton Schulz; Ingrid Utseth; A Rock, Paper, Scissors Robot for Engaging Interest in Research 2024. Poster

Kristin Skeide Fuglerud; Till Halbach; Ingrid Utseth; Anders Ueland Waldeland; Exploring the Use of AI for Enhanced Accessibility Testing of Web Solutions pp. 453 460 , doi: https://doi.org/10.3233/SHTI241041 , 2024. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

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. Vitenskapelig foredrag

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

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

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

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. Vitenskapelig foredrag

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

Ahmet Pala; Anna Oleynik; Ingrid Utseth; Nils Olav Handegard; Addressing class imbalance in deep learning for acoustic target classification ICES Journal of Marine Science, vol. 80, pp. 2530 2544 14 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsad165 , 2023. Vitenskapelig artikkel

Forsker Ingrid har vært på tokt , 2023. Programledelse

Nils Olav Handegard; Maria Tenningen; Leif Bildøy; Jon Even Corneliussen; Kameran Esmail; et al. CRIMAC cruise report: Development of acoustic and optic methods for underwater target calssification - G.O. Sars 22.11 - 03.12 2022 , 2023. Rapport

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. Vitenskapelig foredrag

Alba Ordonez; Ingrid Utseth; Olav Brautaset; Rolf Korneliussen; Nils Olav Handegard; Evaluation of echosounder data preparation strategies for modern machine learning models Fisheries Research, vol. 254, pp. 8 , (ISSN 0165-7836 1872-6763 ), doi: https://doi.org/10.1016/j.fishres.2022.106411 , 2022. Vitenskapelig artikkel

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. Vitenskapelig foredrag

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