Anders Ueland Waldeland

Theodor Johannes Line Forgaard; Alba Ordonez; Srishti Gautam; Anders Ueland Waldeland; Jarle Hamar Reksten; et al. Foundation Models for Earth Observation 2024. Scientific lecture

Arnt-Børre Salberg; Anders Ueland Waldeland; Foundation Models for Arctic Earth Observation 2024. Scientific lecture

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. Scientific lecture

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. Lecture

Anders Løland; Nora Røhnebæk Aasen; Anders U. Waldeland; Frank Alexander Lenkoski; Store datamengder + kunstig intelligens: hva kan vi få til? 2024. Lecture

Alba Ordonez; Anders U. Waldeland; Theodor Johannes Line Forgaard; Rotational invariance exploration for seismic CBIR 2024. Report

Anders Ueland Waldeland; Praktisk bruk av AI - eksempler på bruk av AI fra Norsk Regnesentral 2024. Lecture

Anders Ueland Waldeland; Foredrag om ChatGPT 2023. Lecture

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. Report

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. Report

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

Alba Ordonez; Anders Ueland Waldeland; David Wade; Celine Ravaut; Update on seismic content-based image retrieval 2023. Scientific lecture

Alba Ordonez; Anders U. Waldeland; Searching for similar seismic structures using deep neural networks 2023. Report

Alba Ordonez; Anders Ueland Waldeland; David Wade; Celine Ravaut; Searching for Similar Seismic Structures Using Transformer-based Masked Autoencoders 2023. Poster

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. Report

Anders Ueland Waldeland; Alba Ordonez; David Wade; Seismic analogy retrieval: preliminary study 2022. Scientific lecture

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. Scientific article

Øivind Due Trier; Anders U. Waldeland; Rune Solberg; Automatisk skydeteksjon i Sentinel-3 SLSTR satellittbilder med U-Net. Første resultater 2021. Report

Rune Solberg; Arnt Børre Salberg; Anders U. Waldeland; Jarle Hamar Reksten; Øivind Due Trier; et al. Final report. AI4Arctic Deliverable 6 2021. Report

Arnt Børre Salberg; Yi Liu; Anders U. Waldeland; InfraUAS: Monitoring of critical infrastructure using UAVs: Technical Report 2021. Report

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. Report

Rune Solberg; Jarle Hamar Reksten; Anders U. Waldeland; Arnt Børre Salberg; Snow Product User Guide. AI4Arctic guide to snow products V1 2021. Report

Arnt Børre Salberg; Anders U. Waldeland; Rune Solberg; David Malmgren-Hansen; Leif Toudal Pedersen; et al. Software package: AI4Arctic Deliverable 4 2020. Report

Hao Zhao; Anders U. Waldeland; Dany Rueda Serrano; Martin Tygel; Einar Iversen; Time-migration velocity estimation using Fréchet derivatives based on nonlinear kinematic migration/demigration solvers Studia Geophysica et Geodaetica, pp. 26 75 , doi: https://doi.org/10.1007/s11200-019-1172-0 , 2020. Scientific article

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. Scientific article

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. Report

Rune Solberg; Arnt Børre Salberg; Anders U. Waldeland; Matilde Brandt Kreiner; Leif Toudal Pedersen; et al. Mid-term report. AI4Arctic Deliverable 5. 2020. Report

Anders U. Waldeland; Jarle Hamar Reksten; Arnt Børre Salberg; Rune Solberg; Leif Toudal Pedersen; et al. ICT requirements and API. AI4Arctic Deliverable 2 2020. Report

Rune Solberg; Anders U. Waldeland; Arnt Børre Salberg; Matilde Brandt Kreiner; Leif Toudal Pedersen; et al. Problem statement and methodologies. AI4Arctic Deliverable 1. 2020. Report

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. Scientific chapter / article / conference article

Line Eikvil; Anders U. Waldeland; Marit Holden; Arnt Børre Salberg; Ragnar Hauge; et al. Deep learning in seismic interpretation 2019. Report

Arnt Børre Salberg; Anders U. Waldeland; Deep learning based value chain for Sentinel-2 land cover mapping 2019. Poster

Anders U. Waldeland; T.A. Coimbra; J. H. Faccipieri; Anne H Schistad Solberg; Leiv-J. Gelius; Fast estimation of prestack Common Reflection Surface parameters Geophysical Prospecting, pp. 1163 1183 , doi: https://doi.org/10.1111/1365-2478.12740 , 2019. Scientific article

Anders U. Waldeland; T.A. Coimbra; J. H. Faccipieri; Anne H Schistad Solberg; Leiv-J. Gelius; Fast estimation of prestack Common Reflection Surface parameters Geophysical Prospecting, pp. 1163 1183 , doi: https://doi.org/10.1111/1365-2478.12740 , 2019. Scientific article

Anders U. Waldeland; An Introduction to Machine Learning 2019. Lecture popular

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. Scientific article

Anders U. Waldeland; Jarle Hamar Reksten; Arnt Børre Salberg; Avalanche detection in sar images using deep learning 2018. Poster

Anders U. Waldeland; Arnt Børre Salberg; Alessandro Marin; AI4EO Challenges in the context of the Great Green Wall Initiative 2018. Scientific lecture

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. Scientific lecture

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. Scientific lecture

Anders U. Waldeland; From Traditional Machine Learning to Deep Learning 2018. Lecture popular

Arnt Børre Salberg; Anders U. Waldeland; Øivind Due Trier; Next Generation Value Chain for Earth Observation (NGVEO). Final report 2018. Report

Øivind Due Trier; Anders U. Waldeland; David C. Cowley; Automating archaeological object detection. Proof of concept – Arran survey , 2018. Report

Hao Zhao; Anders U. Waldeland; D. Rueda Serrano; Martin Tygel; Einar Iversen; Time-migration Tomography based on Reflection Slopes in Pre-stack Time-migrated Seismic Data EAGE extended abstracts, doi: https://doi.org/10.3997/2214-4609.201801383 , 2018. Abstract

Anders Ueland Waldeland; Are Charles Jensen; Leiv-J. Gelius; Anne H Schistad Solberg; Convolutional neural networks for automated seismic interpretation The Leading Edge, pp. 529 537 , doi: https://doi.org/10.1190/tle37070529.1 , 2018. Scientific article

Anders Ueland Waldeland; Are Charles Jensen; Leiv-J. Gelius; Anne H Schistad Solberg; Convolutional neural networks for automated seismic interpretation The Leading Edge, pp. 529 537 , doi: https://doi.org/10.1190/tle37070529.1 , 2018. Scientific article

Anders Ueland Waldeland; Hao Zhao; J. H. Faccipieri; Anne H Schistad Solberg; Leiv-J. Gelius; Fast and robust common-reflection-surface parameter estimation Geophysics, pp. O1 O13 , doi: https://doi.org/10.1190/GEO2017-0113.1 , 2018. Scientific article

Anders Ueland Waldeland; Hao Zhao; J. H. Faccipieri; Anne H Schistad Solberg; Leiv-J. Gelius; Fast and robust common-reflection-surface parameter estimation Geophysics, pp. O1 O13 , doi: https://doi.org/10.1190/GEO2017-0113.1 , 2018. Scientific article

Anders U. Waldeland; Seismic image analysis for applications related to iterative 3D velocity model building 2018. Doctor dissertat

Anders U. Waldeland; Seismic image analysis for applications related to iterative 3D velocity model building 2018. Doctor dissertat

Anders U. Waldeland; Arnt Børre Salberg; Øivind Due Trier; Next Generation Value Chain for Earth Observation. Technical note: methodologies 2018. Report

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. Report

Anders U. Waldeland; Seismic interpretation with deep learning , 2018. Lecture

Hao Zhao; Anders Ueland Waldeland; Dany Rueda Serrano; Martin Tygel; Einar Iversen; Time-migration tomography based on reflection slopes, a first test 2017. Scientific lecture

Anders Ueland Waldeland; Anne H Schistad Solberg; Salt Classification Using Deep Learning 2017. Scientific lecture

Anders Ueland Waldeland; Anne H Schistad Solberg; Salt Classification Using Deep Learning 2017. Scientific lecture

Anders Ueland Waldeland; Anne H Schistad Solberg; 3D Attributes and Classification of Salt Bodies on Unlabelled Datasets 2016. Scientific lecture