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SAMBA

SAMBA

Statistical Analysis, Machine Learning and Image Analysis - SAMBA

The SAMBA department has comprehensive theoretical and practical knowledge in the fields of statistics, machine learning and image analysis. We are one of Europe's largest and most competent groups within applied statistics and statistical-matematical modelling. We cover a broad spectrum of methods and are a world leader in some of these areas. The appropriate choice of method for the various problems is thus one of our strengths. Many calculations involve uncertainty and the accurate calculation of this quantity is an important speciality.

Research areas


Last 5 scientific articles

    Kvamme, Håvard; Sellereite, Nikolai; Aas, Kjersti; Sjursen, Steffen A. Søreide. Predicting mortgage default using convolutional neural networks. Expert systems with applications (ISSN 0957-4174). 102 pp 207-217. doi: 10.1016/j.eswa.2018.02.029. 2018.

    Trier, Øivind Due; Salberg, Arnt Børre; Haarpaintner, Jörg; Aarsten, Dagrun; Gobakken, Terje; Næsset, Erik. Multi-sensor forest vegetation height mapping methods for Tanzania. European Journal of Remote Sensing (ISSN 2279-7254). 51(1) pp 587-606. doi: 10.1080/22797254.2018.1461533. 2018.

    Jensen, Helge Leander B.; Lillenes, Meryl Sønderby; Rabano, Alberto; Günther, Clara-Cecilie; Riaz, Tahira; Kalayou, Shewit; Ulstein, Ingun; Bøhmer, Thomas; Tonjum, Tone. Expression of nucleotide excision repair in Alzheimer's disease is higher in brain tissue than in blood. Neuroscience Letters (ISSN 0304-3940). 672 pp 53-58. 2018.

    Trier, Øivind Due; Salberg, Arnt Børre; Kermit, Martin Andreas; Rudjord, Øystein; Gobakken, Terje; Næsset, Erik; Aarsten, Dagrun. Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data. European Journal of Remote Sensing (ISSN 2279-7254). 51(1) pp 336-351. doi: 10.1080/22797254.2018.1434424. 2018. Full-text 

    Rudjord, Øystein; Trier, Øivind Due. Tree species classification with hyperspectral imaging and lidar. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing (ISSN 2158-6276). pp 1-4. doi: 10.1109/WHISPERS.2016.8071665. 2017. Full-text 

Publications in 2018, 2017, 2016, 2015, 2014, earlier years
Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR