Anders Ueland Waldeland

FM4CS: Foundation Models for Climate and Society doi: https://doi.org/https://airdrive.eventsair.com/eventsairwesteuprod/production-nikal-public/b70bb5334745458d904b71347918e872 , 2025. Vitenskapelig foredrag

FM4CS - A Versatile Foundation Model for Earth Observation Climate and Society Applications 2025. Vitenskapelig foredrag

FM4CS - A Versatile Foundation Model for Earth Observation Climate And Society Applications 2025. Poster

A seismic foundation model for the Norwegian Continental Shelf 2025. Vitenskapelig foredrag

Interactive Injectite Mapping with Minimal Training Data using Self-Supervised Learning 2025. Vitenskapelig foredrag

Uncertainties of Satellite-based Essential Climate Variables from Deep Learning arXiv, doi: https://doi.org/10.48550/ARXIV.2412.17506 , 2024. Vitenskapelig oversiktsartikkel/review

Praktisk bruk av AI - eksempler på bruk av AI fra Norsk Regnesentral 2024. Faglig foredrag

Rotational invariance exploration for seismic CBIR 2024. Rapport

Store datamengder + kunstig intelligens: hva kan vi få til? 2024. Faglig foredrag

Kunstig intelligens 2024. Faglig foredrag

Developing a foundation model for seismic data 2024. Poster

Training a seismic foundation model and using it for interactive labelling 2024. Vitenskapelig foredrag

Foundation Models for Arctic Earth Observation 2024. Vitenskapelig foredrag

Foundation Models for Earth Observation 2024. Vitenskapelig foredrag

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

Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Faglig foredrag

Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Poster

Final Report, AI4Arctic SnowMass Deliverable D6, version 1 2024. Rapport

Validation Report, AI4Arctic SnowMass Deliverable D5, version 1 2024. Rapport

Software Description, AI4Arctic SnowMass Deliverable D4, version 3 2024. Rapport

Prototype Product Report, AI4Arctic SnowMass Deliverable D3, version 3 2024. Rapport

Algorithm Report, AI4Arctic SnowMass Deliverable D2, version 3.1 2024. Rapport

Isdekningsgrad på innsjøer fra SLSTR med dyp læring 2024. Rapport

Experiments with foundation models for cardiac ultrasound images 2024. Rapport

EO Foundation Model. Foundation Models for Climate and Society. Deliverable D1.1 Milestone 1 2024. Rapport

Searching for Similar Seismic Structures Using Transformer-based Masked Autoencoders 2023. Poster

Videreutvikling av skydeteksjon for SLSTR med dyp læring. Delprosjekt for snø og is i NVE Copernicus 2 2023. Rapport

Videreutvikling av snødekningsgrad for SLSTR med dyp læring. Delprosjekt for snø og is i NVE Copernicus 2 2023. Rapport

GB-prosjektet AI-basert UU-tilsyn 2023. Rapport

Update on seismic content-based image retrieval 2023. Vitenskapelig foredrag

Searching for similar seismic structures using deep neural networks 2023. Rapport

Foredrag om ChatGPT 2023. Faglig foredrag

Deep learning in seismic interpretation, Development and experiments 2021-2022 2022. Rapport

Seismic analogy retrieval: preliminary study 2022. Vitenskapelig foredrag

Seismic analogy retrieval: preliminary study 2022. Poster

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 , (ISSN 1569-8432 1872-826X ), doi: https://doi.org/10.1016/j.jag.2022.102840 , 2022. Vitenskapelig artikkel

Final report. AI4Arctic Deliverable 6 2021. Rapport

Utvikling av operasjonell snøtjeneste ved NVE. Resultater fra prosjektfase 3 2021. Rapport

Snow Product User Guide. AI4Arctic guide to snow products V1 2021. Rapport

InfraUAS: Monitoring of critical infrastructure using UAVs: Technical Report 2021. Rapport

Automatisk skydeteksjon i Sentinel-3 SLSTR satellittbilder med U-Net. Første resultater 2021. Rapport

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

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

Deep learning in seismic interpretations - Development and experiments 2020 2020. Rapport

Software package: AI4Arctic Deliverable 4 2020. Rapport

Mid-term report. AI4Arctic Deliverable 5. 2020. Rapport

Problem statement and methodologies. AI4Arctic Deliverable 1. 2020. Rapport

ICT requirements and API. AI4Arctic Deliverable 2 2020. Rapport

Deep learning in seismic interpretation 2019. Rapport

Deep learning based value chain for Sentinel-2 land cover mapping 2019. Poster

An Introduction to Machine Learning 2019. Faglig foredrag

From Traditional Machine Learning to Deep Learning 2018. Faglig foredrag

Avalanche detection in sar images using deep learning 2018. Poster

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 , (ISSN 1075-2196 1099-0763 ), doi: https://doi.org/10.1002/arp.1731 , 2018. Vitenskapelig artikkel

AI4EO Challenges in the context of the Great Green Wall Initiative 2018. Vitenskapelig foredrag

Semi-automatic mapping of cultural heritage in Arran, Scotland, using deep neural networks on airborne laser scanning data 2018. Vitenskapelig foredrag

Time-migration Tomography based on Reflection Slopes in Pre-stack Time-migrated Seismic , 2018. Vitenskapelig foredrag

Next Generation Value Chain for Earth Observation (NGVEO). Final report 2018. Rapport

Automating archaeological object detection. Proof of concept – Arran survey , 2018. Rapport

Next Generation Value Chain for Earth Observation. Technical note: methodologies 2018. Rapport

A New Value Chain for Earth Observation. Research agenda for AI and ML and the role of ESA 2018. Rapport

Seismic interpretation with deep learning , 2018. Faglig foredrag