• Bokmål
  • English




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

    Deilkås, Ellen C Tveter; Risberg, Madeleine Borgstedt; Haugen, Marion; Lindstrøm, Jonas Christoffer; Nylén, Urban; Rutberg, Hans; Soop, Michael. Exploring similarities and differences in hospital adverse event rates between Norway and Sweden using Global Trigger Tool. BMJ Open (ISSN 2044-6055). 7(3) doi: 10.1136/bmjopen-2016-012492. 2017. Full-text 

    Løkse, Sigurd; Bianchi, Filippo Maria; Salberg, Arnt Børre; Jenssen, Robert. Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data. Lecture Notes in Computer Science (ISSN 0302-9743). 10269 LNCS pp 431-442. doi: 10.1007/978-3-319-59126-1_36. 2017.

    Tvete, Ingunn Fride; Bjørner, Trine; Skomedal, Tor. New benzodiazepine and Z-hypnotic users and disability pension: an eight-year nationwide observational follow-up study. Scandinavian Journal of Primary Health Care (ISSN 0281-3432). doi: 10.1080/02813432.2017.1358436. 2017. Full-text 

    Lison, Pierre; Kennington, Casey. Incremental Processing for Neural Conversational Models. SemDial Proceedings (ISSN 2308-2275). pp 162-163. 2017. Full-text 

    Lison, Pierre; Bibauw, Serge. Not All Dialogues are Created Equal: Instance Weighting for Neural Conversational Models. In: 18th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2017). (ISBN 978-1-945626-82-1). pp 384-394. 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
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
(+47) 22 85 25 00
Address How to get to NR
Social media Share on social media
Privacy policy Privacy policy
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