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
Reksten, Jarle Hamar; Salberg, Arnt-Børre. Estimating Traffic in Urban Areas from Very-High Resolution Aerial Images. International Journal of Remote Sensing (ISSN 0143-1161). 42(3) pp 865-883. doi: 10.1080/01431161.2020.1815891. 2021.
Brødholt, Elin Therese; Günther, Clara-Cecilie; Gautvik, Kaare M; Sjøvold, Torstein; Holck, Per. Bone mineral density through history: Dual-energy X-ray absorptiometry in archaeological populations of Norway. Journal of Archaeological Science: Reports (ISSN 2352-409X). 36 2021.
Günther, Clara-Cecilie; Gautvik, Kaare M; Holck, Per; Sjøvold, Torstein. Bone mineral density through history: Dual-energy X-ray absorptiometry in archaeological populations of Norway. Journal of Archaeological Science: Reports (ISSN 2352-409X). doi: 10.1016/j.jasrep.2021.102792. 2021.
Aldrin, Magne Tommy; Huseby, Ragnar Bang; Jensen, Britt Bang; Jansen, Mona Dverdal. Evaluating effects of different control strategies for Infectious Salmon Anaemia (ISA) in marine salmonid farming by scenario simulation using a disease transmission model. Preventive Veterinary Medicine (ISSN 0167-5877). 2021.
Jensen, Britt Bang; Dean, Katharine Rose; Huseby, Ragnar Bang; Aldrin, Magne Tommy; Qviller, Lars. Realtime simulations of transmission of Pancreas Disease (PD) in Norwegian salmonid farming for disease control purposes. Epidemics (ISSN 1755-4365). 2021.