Photo: Geir Antonsen
Stian Normann Anfinsen
Adjunct Professor / Machine Learning
Job description
20 % position as professor with UiT's Machine Learning Group and main affiliation as senior researcher at NORCE Norwegian Research Centre.
Sara Maria Björk,
Stian Normann Anfinsen,
Erik Næsset,
Terje Gobakken,
Eliakimu Zahabu
:
On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests
Luigi Tommaso Luppino,
Mads Adrian Hansen,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Robert Jenssen
et al.:
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
IEEE Transactions on Neural Networks and Learning Systems 12. May 2022 DOI
Vilde Jensen,
Filippo Maria Bianchi,
Stian Normann Anfinsen
:
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
Huamin Ren,
Xiaomeng Su,
Robert Jenssen,
Jingyue Li,
Stian Normann Anfinsen
:
Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring
Jonas Berg Hansen,
Stian Normann Anfinsen,
Filippo Maria Bianchi
:
Power Flow Balancing With Decentralized Graph Neural Networks
Jørgen Andreas Agersborg,
Luigi Tommaso Luppino,
Stian Normann Anfinsen,
Jane Uhd Jepsen
:
Toward Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping
Jørgen Andreas Agersborg,
Stian Normann Anfinsen,
Jane Uhd Jepsen
:
Guided Nonlocal Means Estimation of Polarimetric Covariance for Canopy State Classification
IEEE Transactions on Geoscience and Remote Sensing 2022 DOI
Luigi Tommaso Luppino,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Sebastiano Bruno Serpico,
Robert Jenssen
et al.:
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
Hao Chen,
Stian Normann Anfinsen,
Yngve Birkelund,
Fuqing Yuan
:
Probability distributions for wind speed volatility characteristics: A case study of Northern Norway
Huamin Ren,
Filippo Maria Bianchi,
Jingyue Li,
Rasmus L. Olsen,
Robert Jenssen,
Stian Normann Anfinsen
:
Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms
IEEE conference proceedings 2021 DOI
Hao Chen,
Yngve Birkelund,
Stian Normann Anfinsen,
Reidar Staupe-Delgado,
Fuqing Yuan
:
Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic
Hao Chen,
Yngve Birkelund,
Stian Normann Anfinsen,
Fuqing Yuan
:
Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region
Bilal Babar,
Luigi Tommaso Luppino,
Tobias Boström,
Stian Normann Anfinsen
:
Random forest regression for improved mapping of solar irradiance at high latitudes
Solar Energy 2020 DOI
Luigi Tommaso Luppino,
Filippo Maria Bianchi,
Gabriele Moser,
Stian Normann Anfinsen
:
Unsupervised Image Regression for Heterogeneous Change Detection
Torbjørn Eltoft,
Stian Normann Anfinsen,
Anthony Paul Doulgeris,
Laurent Ferro-Famil
:
Polarimetric SAR Modelling: Mellin Kind Statistics and Time-Frequency Analysis
Springer 2018 DOI
Luigi Tommaso Luppino,
Filippo Maria Bianchi,
Gabriele Moser,
Stian Normann Anfinsen
:
Remote sensing image regression for heterogeneous change detection
Dingsheng Hu,
Stian Normann Anfinsen,
X Qiu,
Anthony Paul Doulgeris,
Bin Lei
:
Unsupervised Mixture-Eliminating Estimation of Equivalent Number of Looks for PolSAR Data
Luigi Tommaso Luppino,
Stian Normann Anfinsen,
Gabriele Moser,
Robert Jenssen,
Filippo Maria Bianchi,
Sebastian Bruno Serpico
et al.:
A clustering approach to heterogeneous change detection
Dingsheng Hu,
Xiaolan Qiu,
Stian Normann Anfinsen,
Bin Lei
:
Unsupervised Estimation of the Equivalent Number of Looks in PolSAR Image with High Heterogeneity
Vahid Akbari,
Stian Normann Anfinsen,
Anthony Paul Doulgeris,
Torbjørn Eltoft,
Gabriele Moser,
Sebastiano Bruno Serpico
:
Polarimetric SAR Change Detection with the Complex Hotelling-Lawley Trace Statistic
Martine Espeseth,
Camilla Brekke,
Stian Normann Anfinsen
:
Hybrid-Polarity and Reconstruction Methods for Sea Ice With L- and C-Band SAR
IEEE Geoscience and Remote Sensing Letters 2016 DOI
Tao Ding,
Stian Normann Anfinsen,
Camilla Brekke
:
Robust CFAR Detector Based on Truncated Statistics in Multiple-Target Situations
IEEE Transactions on Geoscience and Remote Sensing 2016 DOI
Vahid Akbari,
Stian Normann Anfinsen,
Anthony Paul Doulgeris,
Torbjørn Eltoft
:
A change detector for polarimetric SAR data based on the relaxed Wishart distribution
Mari-Ann Moen,
Stian Normann Anfinsen,
Anthony Paul Doulgeris,
Angelika Renner,
Sebastian Gerland
:
Assessing polarimetric SAR sea-ice classifications using consecutive day images
Tao Ding,
Stian Normann Anfinsen,
Camilla Brekke
:
A comparative study of sea clutter covariance matrix estimators
Torbjørn Eltoft,
Stian Normann Anfinsen,
Anthony Paul Doulgeris
:
A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data
Vahid Akbari,
Stian Normann Anfinsen,
Anthony Paul Doulgeris,
Torbjørn Eltoft
:
The Hotelling-Lawley trace statistic for change detection in polarimetric SAR data under the complex Wishart distribution
Mari-Ann Moen,
Anthony Paul Doulgeris,
Stian Normann Anfinsen,
Angelika H.H. Renner,
Nick Hughes,
Sebastian Gerland
et al.:
Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts
Camilla Brekke,
Stian Normann Anfinsen,
yngvar Larsen
:
Subband Extraction Strategies in Ship Detection With the Subaperture Cross-Correlation Magnitude
Vahid Akbari,
Anthony Paul Doulgeris,
Moser Gabriele,
Torbjørn Eltoft,
B. Serpico Sebastiano,
Stian Normann Anfinsen
:
A Textural–Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images
Necip Gokhan Kasapoglu,
Stian Normann Anfinsen,
Torbjørn Eltoft
:
FUSION OF OPTICAL AND MULTIFREQUENCY POLSAR DATA FOR FOREST CLASSIFICATION
IEEE Geoscience and Remote Sensing Letters 2012
Stian Normann Anfinsen
:
Koherensprodukt fra Sentinel-1
NORCE Norwegian Research Centre 2022
Federico Figari Tomenotti,
Luigi Tommaso Luppino,
Mads Adrian Hansen,
Gabriele Moser,
Stian Normann Anfinsen
:
Heterogeneous Change Detection with Self-supervised Deep Canonically Correlated Autoencoders
2020
Jørgen Andreas Agersborg,
Stian Normann Anfinsen,
Jane Uhd Jepsen
:
Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping
2020
Sara Björk,
Stian Normann Anfinsen,
Erik Næsset,
Terje Gobakken,
Eliakimu Zahabu
:
Generation of Lidar-Predicted Forest Biomass Maps from Radar Backscatter with Conditional Generative Adversarial Networks
2020 ARKIV
Gabriele Moser,
Stian Normann Anfinsen,
Luigi Tommaso Luppino,
Sebastian Bruno Serpico
:
Change Detection with Heterogeneous Remote Sensing Data: From Semi-Parametric Regression to Deep Learning
2020
Stian Normann Anfinsen,
Luigi Tommaso Luppino,
Mads Adrian Hansen,
Gabriele Moser,
Sebastian Bruno Serpico
:
Unsupervised Heterogeneous Change Detection in Radar Images by Cross-domain Affinity Matching
2020
Anders Andersen,
Stian Normann Anfinsen,
Luca Frediani
:
Fremragende læring med beregningsorientert programmering
Nordic Journal of STEM Education 2019 FULLTEKST / SAMMENDRAG
Anders Andersen,
Stian Normann Anfinsen,
Luca Frediani
:
Fremragende læring med beregningsorientert programmering
2019
Jørgen Andreas Agersborg,
Stian Normann Anfinsen,
Jane Uhd Jepsen
:
Forest Structure Analysis From Polarimetric Radar Data Using Machine Learning
2019
Torgeir Brenn,
Lars-Petter Gjøvik,
Gunnar Ljosdahl Rasmussen,
Tony Bauna,
Michael Kampffmeyer,
Robert Jenssen
et al.:
Operationalizing Ship Detection Using Deep Learning
2019 FULLTEKST
Tao Ding,
Camilla Brekke,
Torbjørn Eltoft,
Stian Normann Anfinsen
:
Maritime Target Detection in Non-homogeneous Sea Clutter Environments based on Single- and Multi-polarization Synthetic Aperture Radar Data
2015
Dingsheng Hu,
Stian Normann Anfinsen,
Ding Tao,
Xiaolan Qiu
:
Investigation of variations in the equivalent number of looks for polarimetric channels
2015
Canbin Hu,
Laurent Ferro-Famil,
Camilla Brekke,
Stian Normann Anfinsen
:
SHIP DETECTION USING POLARIMETRIC RADARSAT-2 DATA AND MULTI-DIMENSIONAL COHERENT TIME-FREQUENCY ANALYSIS
2013
Anthony Paul Doulgeris,
Stian Normann Anfinsen,
Torbjørn Eltoft
:
Segmentation of polarimetric SAR data with a multi-texture product model
2012
Torbjørn Eltoft,
Anthony Paul Doulgeris,
Stian Normann Anfinsen
:
Analysis of textured PolSAR data by Shannon entropy
2012
Mari-Ann Moen,
Anthony Paul Doulgeris,
Stian Normann Anfinsen,
Nick Hughes,
Angelika H.H. Renner,
Sebastian Gerland
et al.:
Comparison of feature based segmentation of SAR satellite sea ice images with manually drawn ice charts
2012
Paul R. Kersten,
Stian Normann Anfinsen
:
A flexible and computationally efficient density model for the multilook polarimetric covariance matrix
2012
Paul R. Kersten,
Stian Normann Anfinsen,
Anthony Paul Doulgeris
:
The Wishart-Kotz classifier for multilook polarimetric SAR data
2012
Jean-Marie Nicolas,
Stian Normann Anfinsen
:
Introduction to second kind statistics: Application of log-moments and log-cumulants to the analysis of radar image distributions
2012
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Research interests
- Analysis of multimodal/heterogeous image data using graph theory and deep learning
- Machine learning for medical image analysis and oncological studies (fusion of PET, MR and CT images)
- Energy analytics (machine learning applied to data from renewable energy and power grids)