Seniorforsker
Anders Ueland Waldeland
- Avdeling BAMJO
- Telefonnummer +47 22 85 25 66
- E-post andersuw@nr.no
Prosjekter
- Bildeanalyse
- Maskinlæring
Kunstig intelligens skal inspisere jernbanen
- Bildeanalyse
- Kartlegging og overvåking
Automatisert kontroll av jernbanen
Publikasjoner
- 48 publikasjoner funnet
- Utgiver
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
Kristin Skeide Fuglerud; Till Halbach; Ingrid Utseth; Anders Ueland Waldeland; Exploring the Use of AI for Enhanced Accessibility Testing of Web Solutions doi: https://doi.org/10.3233/SHTI241041 , 2024. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Theodor Johannes Line Forgaard; Alba Ordonez; Srishti Gautam; Anders Ueland Waldeland; Jarle Hamar Reksten; et al. Foundation Models for Earth Observation 2024. Vitenskapelig foredrag
Arnt-Børre Salberg; Anders Ueland Waldeland; Foundation Models for Arctic Earth Observation 2024. Vitenskapelig foredrag
Theodor Johannes Line Forgaard; Alba Ordonez; Celine Ravaut; David Wade; Anders Ueland Waldeland; Training a seismic foundation model and using it for interactive labelling 2024. Vitenskapelig foredrag
Theodor Johannes Line Forgaard; Alba Ordonez; Anders Ueland Waldeland; David Wade; Celine Ravaut; Developing a foundation modelfor seismic data 2024. Poster
Anders Ueland Waldeland; Kunstig intelligens 2024. Faglig foredrag
Anders Løland; Nora Røhnebæk Aasen; Anders U. Waldeland; Frank Alexander Lenkoski; Store datamengder + kunstig intelligens: hva kan vi få til? 2024. Faglig foredrag
Alba Ordonez; Anders U. Waldeland; Theodor Johannes Line Forgaard; Rotational invariance exploration for seismic CBIR 2024. Rapport
Anders Ueland Waldeland; Praktisk bruk av AI - eksempler på bruk av AI fra Norsk Regnesentral 2024. Faglig foredrag
Øivind Due Trier; Anders U. Waldeland; Rune Solberg; Videreutvikling av skydeteksjon for SLSTR med dyp læring. Delprosjekt for snø og is i NVE Copernicus 2 2023. Rapport
Anders Ueland Waldeland; Foredrag om ChatGPT 2023. Faglig foredrag
Alba Ordonez; Anders Ueland Waldeland; David Wade; Celine Ravaut; Searching for Similar Seismic Structures Using Transformer-based Masked Autoencoders 2023. Poster
Alba Ordonez; Anders U. Waldeland; Searching for similar seismic structures using deep neural networks 2023. Rapport
Alba Ordonez; Anders Ueland Waldeland; David Wade; Celine Ravaut; Update on seismic content-based image retrieval 2023. Vitenskapelig foredrag
Till Halbach; Anders U. Waldeland; Ingrid Utseth; Kristin Skeide Fuglerud; GB-prosjektet AI-basert UU-tilsyn 2023. Rapport
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
Line Eikvil; Anders U. Waldeland; Daniel Martin L Barker; Marit Holden; Ragnar Hauge; et al. Deep learning in seismic interpretation, Development and experiments 2021-2022 2022. Rapport
Anders Ueland Waldeland; Alba Ordonez; David Wade; Seismic analogy retrieval: preliminary study 2022. Vitenskapelig foredrag
Alba Ordonez; Anders Ueland Waldeland; David Wade; Seismic analogy retrieval: preliminary study 2022. Poster
Anders Ueland Waldeland; Øivind Due Trier; Arnt-Børre Salberg; Forest mapping and monitoring in Africa using Sentinel-2 data and deep learning International Journal of Applied Earth Observation and Geoinformation, vol. 111, pp. 1 13 12 , (ISSN 1569-8432 1872-826X ), doi: https://doi.org/10.1016/j.jag.2022.102840 , 2022. Vitenskapelig artikkel
Rune Solberg; Jarle Hamar Reksten; Øivind Due Trier; Anders U. Waldeland; Kjetil Meldvold; et al. Utvikling av operasjonell snøtjeneste ved NVE. Resultater fra prosjektfase 3 2021. Rapport
Rune Solberg; Arnt Børre Salberg; Anders U. Waldeland; Jarle Hamar Reksten; Øivind Due Trier; et al. Final report. AI4Arctic Deliverable 6 2021. Rapport
Rune Solberg; Jarle Hamar Reksten; Anders U. Waldeland; Arnt Børre Salberg; Snow Product User Guide. AI4Arctic guide to snow products V1 2021. Rapport
Arnt Børre Salberg; Yi Liu; Anders U. Waldeland; InfraUAS: Monitoring of critical infrastructure using UAVs: Technical Report 2021. Rapport
Øivind Due Trier; Anders U. Waldeland; Rune Solberg; Automatisk skydeteksjon i Sentinel-3 SLSTR satellittbilder med U-Net. Første resultater 2021. Rapport
Line Eikvil; Anders U. Waldeland; Daniel Martin L Barker; Marit Holden; Ragnar Hauge; et al. Deep learning in seismic interpretations - Development and experiments 2020 2020. Rapport
Olav Brautaset; Anders Ueland Waldeland; Espen Johnsen; Ketil Malde; Line Eikvil; et al. Acoustic classification in multifrequency echosounder data using deep convolutional neural networks ICES Journal of Marine Science, vol. 77, pp. 1391 1400 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsz235 , 2020. Vitenskapelig artikkel
Anders Ueland Waldeland; Arnt-Børre Salberg; Øivind Due Trier; Andreas Vollrath; Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning doi: https://doi.org/10.1109/IGARSS39084.2020.9323815 , 2020. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Arnt Børre Salberg; Anders U. Waldeland; Rune Solberg; David Malmgren-Hansen; Leif Toudal Pedersen; et al. Software package: AI4Arctic Deliverable 4 2020. Rapport
Anders U. Waldeland; Jarle Hamar Reksten; Arnt Børre Salberg; Rune Solberg; Leif Toudal Pedersen; et al. ICT requirements and API. AI4Arctic Deliverable 2 2020. Rapport
Rune Solberg; Arnt Børre Salberg; Anders U. Waldeland; Matilde Brandt Kreiner; Leif Toudal Pedersen; et al. Mid-term report. AI4Arctic Deliverable 5. 2020. Rapport
Rune Solberg; Anders U. Waldeland; Arnt Børre Salberg; Matilde Brandt Kreiner; Leif Toudal Pedersen; et al. Problem statement and methodologies. AI4Arctic Deliverable 1. 2020. Rapport
Line Eikvil; Anders U. Waldeland; Marit Holden; Arnt Børre Salberg; Ragnar Hauge; et al. Deep learning in seismic interpretation 2019. Rapport
Arnt Børre Salberg; Anders U. Waldeland; Deep learning based value chain for Sentinel-2 land cover mapping 2019. Poster
Anders U. Waldeland; An Introduction to Machine Learning 2019. Populærvitenskapelig foredrag
Anders U. Waldeland; Jarle Hamar Reksten; Arnt Børre Salberg; Avalanche detection in sar images using deep learning 2018. Poster
Anders U. Waldeland; Seismic interpretation with deep learning , 2018. Faglig foredrag
Øivind Due Trier; David C. Cowley; Anders U. Waldeland; Using deep neural networks on airborne laser scanning data: results from a case study of semi-automatic mapping of archaeological topography on Arran, Scotland Archaeological Prospection, vol. 26, pp. 165 175 11 , (ISSN 1075-2196 1099-0763 ), doi: https://doi.org/10.1002/arp.1731 , 2018. Vitenskapelig artikkel
Anders U. Waldeland; Arnt Børre Salberg; Alessandro Marin; AI4EO Challenges in the context of the Great Green Wall Initiative 2018. Vitenskapelig foredrag
Øivind Due Trier; Anders Ueland Waldeland; David C. Cowley; Semi-automatic mapping of cultural heritage in Arran, Scotland, using deep neural networks on airborne laser scanning data 2018. Vitenskapelig foredrag
Hao Zhao; Anders U. Waldeland; Dany Rueda Serrano; Martin Tygel; Einar Iversen; Time-migration Tomography based on Reflection Slopes in Pre-stack Time-migrated Seismic , 2018. Vitenskapelig foredrag
Anders U. Waldeland; From Traditional Machine Learning to Deep Learning 2018. Populærvitenskapelig foredrag
Arnt Børre Salberg; Anders U. Waldeland; Øivind Due Trier; Next Generation Value Chain for Earth Observation (NGVEO). Final report 2018. Rapport
Øivind Due Trier; Anders U. Waldeland; David C. Cowley; Automating archaeological object detection. Proof of concept – Arran survey , 2018. Rapport
Anders U. Waldeland; Arnt Børre Salberg; Øivind Due Trier; Next Generation Value Chain for Earth Observation. Technical note: methodologies 2018. Rapport
Arnt Børre Salberg; Anders U. Waldeland; A New Value Chain for Earth Observation. Research agenda for AI and ML and the role of ESA 2018. Rapport