AS
Arnt-Børre Salberg
cs.CVcs.LGeess.IVcs.AINeural Networks, Computerstat.MLBiodiversityClusteringCoastal vegetationDeep learning
On Valency
published · living versionsW_h8j28mz2·v1 · currentpublished
A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway
with Siyan Chen, Lars Uebbing, Eirik Mikal Samuelsen, Georgios Leontidis +3
1 version
Preprints & journals
19 papers in the corpus · 2017–2026A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway2609.10564v1 · Siyan Chen, Lars Uebbing, Eirik Mikal Samuelsen et al.2026 · 0 citationsarXivon Valency
Now We Know? A Systematic Comparison of TerraMind and THOR2607.18504v2 · Frederick Schindlegger, Kenzo Bounegta, Eva Gmelich Meijling et al.2026 · 0 citationsarXiv
NOFE - Neural Operator Function Embedding2605.11970v2 · Lars Uebbing, Harald L. Joakimsen, Siyan Chen et al.2026 · 0 citationsarXiv
THOR: A Versatile Foundation Model for Earth Observation Climate and Society Applications2601.16011v1 · Theodor Forgaard, Jarle H. Reksten, Anders U. Waldeland et al.2026 · 0 citationsarXiv
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models2506.11764v2 · Muhammad Sarmad, Arnt-B\orre Salberg, Michael Kampffmeyer2025 · 4 citationsarXiv
Uncertainties of Satellite-based Essential Climate Variables from Deep Learning2412.17506v1 · Junyang Gou, Arnt-B\orre Salberg, Mostafa Kiani Shahvandi et al.2024 · 5 citationsarXiv
Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification.39295629 · Kvile, Kristina Øie, Gundersen, Hege, Poulsen, Robert Nøddebo et al.2024 · 13 citationsMethodsX. 2024;13:102935
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks2111.03845v1 · Qinghui Liu, Michael Kampffmeyer, Robert Jenssen et al.2021 · 25 citationsarXiv
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation2009.01599v2 · Qinghui Liu, Michael Kampffmeyer, Robert Jenssen et al.2020 · 12 citationsarXiv
Explaining decisions of deep neural networks used for fish age prediction.32559222 · Ordoñez, Alba, Eikvil, Line, Salberg, Arnt-Børre et al.2020 · 36 citationsPloS one. 2020;15(6):e0235013
The 1st Agriculture-Vision Challenge: Methods and Results2004.09754v2 · Mang Tik Chiu, Xingqian Xu, Kai Wang et al.2020 · 24 citationsarXiv
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation2004.10327v1 · Qinghui Liu, Michael Kampffmeyer, Robert Jenssen et al.2020 · 52 citationsarXiv
Self-Constructing Graph Convolutional Networks for Semantic Labeling2003.06932v2 · Qinghui Liu, Michael Kampffmeyer, Robert Jenssen et al.2020 · 27 citationsarXiv
Dense Dilated Convolutions Merging Network for Land Cover Classification2003.04027v1 · Qinghui Liu, Michael Kampffmeyer, Robert Jessen et al.2020 · 146 citationsarXiv
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network1909.04588v1 · Qinghui Liu, Michael Kampffmeyer, Robert Jenssen et al.2019 · 5 citationsarXiv
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images1908.11799v1 · Qinghui Liu, Michael Kampffmeyer, Robert Jenssen et al.2019 · 18 citationsarXiv
Deep divergence-based approach to clustering.30798048 · Kampffmeyer, Michael, Løkse, Sigurd, Bianchi, Filippo M et al.2019 · 80 citationsNeural networks : the official journal of the International Neural Network Society. 2019;113:91-101
Urban Land Cover Classification with Missing Data Modalities Using Deep Convolutional Neural Networks1709.07383v2 · Michael Kampffmeyer, Arnt-B\orre Salberg, Robert Jenssen2017 · 66 citationsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018
Spectral Clustering using PCKID - A Probabilistic Cluster Kernel for Incomplete Data1702.07190v1 · Sigurd L\okse, Filippo Maria Bianchi, Arnt-B\orre Salberg et al.2017 · 7 citationsarXiv
Career total: 99 works. 19 are in this corpus.
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