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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

    Aldrin, Magne Tommy; Huseby, Ragnar Bang; Stien, Audun; Grøntvedt, Randi Nygaard; Viljugrein, Hildegunn; Jansen, Peder A. A stage-structured Bayesian hierarchical model for salmon lice populations at individual salmon farms – Estimated from multiple farm data sets. Ecological Modelling (ISSN 0304-3800). 359 pp 333-348. doi: 10.1016/j.ecolmodel.2017.05.019. 2017.

    Gjerden, Pål; Bramness, Jørgen Gustav; Tvete, Ingunn Fride; Slørdal, Lars. The antipsychotic agent quetiapine is increasingly not used as such: dispensed prescriptions in Norway 2004–2015. European Journal of Clinical Pharmacology (ISSN 0031-6970). pp 1-7. doi: 10.1007/s00228-017-2281-8. 2017.

    Salberg, Arnt Børre; Trier, Øivind Due; Kampffmeyer, Michael C.. Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks. In: Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II. (ISBN 978-3-319-59128-5). pp 193-204. doi: 10.1007%2F978-3-319-59129-2_17. 2017.

    Aas, Kjersti; Neef, Linda Reiersølmoen; Williams, Lloyd; Raabe, Dag. Interest rate model comparisons for participating products under Solvency II. Scandinavian Actuarial Journal (ISSN 0346-1238). doi: 10.1080/03461238.2017.1332679. 2017.

    Kutuzov, Andrei; Lison, Pierre. Redefining Context Windows for Word Embedding Models: An Experimental Study. In: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017. (ISBN 978-91-7685-601-7). pp 284-288. 2017. Full-text 

Publications in 2017, 2016, 2015, 2014, 2013, 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