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.
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