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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

    Guttorp, Peter; Andersson, Claes; Särkkä, Aila. Discovering early diabetic neuropathy from epidermal nerve fiber patterns. Statistics in Medicine (ISSN 0277-6715). doi: 10.1002/sim.7009. 2016.

    Stoyanchev, Svetlana; Lison, Pierre; Bangalore, Srinivas. Rapid Prototyping of Form-driven Dialogue Systems Using an Open-source Framework. In: Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue. (ISBN 978-1-945626-23-4). pp 216-219. 2016. Full-text 

    Lison, Pierre; Kennington, Casey. OpenDial: A Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. (ISBN 978-1-945626-03-6). pp 67-72. 2016.

    Dragone, Paolo; Lison, Pierre. Classification and Resolution of Non-Sentential Utterances in Dialogue. Italian Journal of Computational Linguistics (ISSN 2499-4553). 2(1) pp 45-62. 2016. Full-text 

    Guttorp, Peter; Särkkä, Aila; Ylitalo, Anna-Kaisa. What we look at in paintings: A comparison between experienced and inexperienced art viewers. Annals of Applied Statistics (ISSN 1932-6157). 10(2) pp 549-574. doi: 10.1214/16-AOAS921. 2016.

Publications in 2016, 2015, 2014, 2013, 2012, 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
Address How to get to NR
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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