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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

    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 

    Holden, Marit; Holden, Lars; Olsen, Karina Standahl; Lund, Eiliv. Local In Time Statistics for detecting weak gene expression signals in blood – illustrated for prediction of metastases in breast cancer in the NOWAC Post-genome Cohort. Advances in Genomics and Genetics (ISSN 1179-9870). 7 pp 11-28. doi: 10.2147/AGG.S130004. 2017. Full-text 

    Sillmann, Jana; Thorarinsdottir, Thordis Linda; Keenlyside, Noel; Schaller, Nathalie; Alexander, L. V.; Hegerl, Gabi; Seneviratne, Sonia I.; Vautard, Robert; Zhang, Xuebin; Zwiers, Francis W.. Understanding, modeling and predicting weather and climate extremes: Challenges and opportunities. Weather and Climate Extremes (ISSN 2212-0947). 18 pp 65-74. doi: 10.1016/j.wace.2017.10.003. 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
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
(+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