Publikasjoner

Anders U. Waldeland; Øystein Rudjord; Øivind Due Trier; Rune Solberg; Videreutvikling av snødekningsgrad for SLSTR med dyp læring. Delprosjekt for snø og is i NVE Copernicus 2 2023. Rapport

Øivind Due Trier; Driftspilot veideteksjon. Metodeforbedringer i 2022 2023. Rapport

Olav Nikolai Risdal Breivik; Anders Nielsen; ​Statistical foundation for stock assessment​ 2023. Vitenskapelig foredrag

Fredrik Andreas Dahl; Line Eikvil; Ingunn Fride Tvete; Pierre Lison; Ildikó Pilán; et al. Helse-effektivisering - et mulig satsningsområde for NR 2023. Rapport

Olav Nikolai Risdal Breivik; Anders Nielsen; ​​​A practical course in selecting configurations for the state space assessment model SAM​​ 2023. Vitenskapelig foredrag

Øivind Due Trier; Bidrag til sluttrapport. FKB maskinlæring 2023. Rapport

Kristoffer Herland Hellton; Clara-Cecilie Günther; Anders Løland; Modell for valgprognoser – med resultater fra 2021-valget 2023. Rapport

Habtamu Abie; Silvio Ranise; Luca Verderame; Enrico Cambiaso; Rita Maria Ugarelli; et al. CPS4CIP 2023 Preface - The 4th International Workshop on Cyber-Physical Security for Critical Infrastructures Protection Lecture Notes in Computer Science (LNCS), pp. 1 5 5 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-031-54129-2 , 2023. Leder

The SeaBee GitHub Organisation: code infrastructure for the SeaBee project , 2023. Programvare

Daniel Skryseth; Karthik Shivashankar; Ildikó Pilán; Antonio Martini; Technical Debt Classification in Issue Trackers using Natural Language Processing based on Transformers pp. 92 101 9 , doi: https://doi.org/10.1109/TechDebt59074.2023.00017 , 2023. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Fredrik Andreas Dahl; Olav Brautaset; Marit Holden; Line Eikvil; Marthe Larsen; et al. A two-stage mammography classification model using explainable-AI for ROI detection Nordic Machine Intelligence (NMI), vol. 3, pp. 7 , (ISSN 2703-9196 2703-9196 ), doi: https://doi.org/10.5617/nmi.10459 , 2023. Vitenskapelig artikkel

Daesoo Lee; Oscar Ovanger; Jo Eidsvik; Erlend Aune; Jacob Skauvold; et al. Latent Diffusion Model for Conditional Reservoir Facies Generation arXiv, 2023. Vitenskapelig artikkel

Hege Gundersen; Robert Nøddebo Poulsen; Toms Buls; Hartvig C Christie; Medyan Ghareeb; et al. Mapping kelp forests using flying drones and machine learning: A case study from Norway 2023. Faglig foredrag

Øivind Due Trier; Performance evaluation of deep learning methods for archaeological object detection in airborne lidar data 2023. Poster

Claudio Constantin Heinrich-Mertsching; Jens Christian Wahl; Alba Ordonez; Marita Stien; John Elvsborg; et al. Assessing present and future risk of water damage using building attributes, meteorology, and topography The Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 72, pp. 809 828 19 , (ISSN 0035-9254 1467-9876 ), doi: https://doi.org/10.1093/jrsssc/qlad043 , 2023. Vitenskapelig artikkel

Kasper Hancke; Anders Gjørwad Hagen; TA Johansen; J Garrett; Arnt Børre Salberg; et al. Drones for mapping benthic habitats and the SeaBee Infrastructure. 10.05.2023. Oral presentation. https://geohab.org/wp-content/uploads/2023/05/GeoHab2023_proceedings.pdf , 2023. Vitenskapelig foredrag

Eyvind Aker; Daniel Martin L Barker; Torstein Mæland Fjeldstad; Bjørn Fjellvoll; Ragnar Hauge; et al. PCube reference manual 2023. Rapport

Eyvind Aker; Daniel Martin L Barker; Torstein Mæland Fjeldstad; Bjørn Fjellvoll; Ragnar Hauge; et al. PCube User Manual version 10.0 2023. Rapport

Eyvind Aker; Daniel Martin L Barker; Heidi Kjønsberg; Carl-Inge Colombo Nilsen; Bjørn Fjellvoll; Improved reservoir property inversion and QC 2023. Rapport

Eyvind Aker; Heidi Kjønsberg; Ragnar Hauge; A transparent time shift noise model 2023. Rapport