Stian Normann Anfinsen

Adjunct Professor

UiT The Arctic University of Norway

Norway

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Articles (9)

Power Flow Balancing With Decentralized Graph Neural Networks

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Year:

2023

Toward Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping

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Year:

2022

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

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Year:

2022

Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting

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Year:

2022

Guided Nonlocal Means Estimation of Polarimetric Covariance for Canopy State Classification

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Year:

2022

On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests

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Year:

2022

Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic

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Year:

2021

Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region

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Year:

2021

Random forest regression for improved mapping of solar irradiance at high latitudes

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Year:

2020

Collaborators (5)

Michael Kampffmeyer

Associate Professor

UiT The Arctic University of Norway

NORWAY

Gabriele Moser

Associate Professor of Telecommunications

University of Genoa

ITALY

Jane Uhd Jepsen

Prof. II

UiT The Arctic University of Norway

NORWAY

Robert Jenssen

UiT The Arctic University of Norway

NORWAY

Filippo Maria Bianchi

Associate Professor

UiT The Arctic University of Norway

NORWAY

Stian Normann Anfinsen

Research Interests

Explore related searches

Contact this professor

Articles (9)

Power Flow Balancing With Decentralized Graph Neural Networks

Toward Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting

Guided Nonlocal Means Estimation of Polarimetric Covariance for Canopy State Classification

On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests

Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic

Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region

Random forest regression for improved mapping of solar irradiance at high latitudes

Collaborators (5)

Michael Kampffmeyer

Gabriele Moser

Jane Uhd Jepsen

Robert Jenssen

Filippo Maria Bianchi

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