Publikasjoner

Bjørn Fjellvoll; Ragnar Hauge; Ariel Almendral Vazquez; Petter Abrahamsen; Jacob Skauvold; Applied Geostatistics and Geomodelling 2019 2019. Faglig foredrag

Pål Dahle; Petter Abrahamsen; Ariel Almendral Vazquez; Handling true vertical depth (TVD) uncertainty in wells 2019. Faglig foredrag

Petter Abrahamsen; COHIBA - Consistent, robust, and accurate prediction of surfaces 2019. Faglig foredrag

Petter Abrahamsen; Compaction and Subsidence 2019. Faglig foredrag

Sean Meling Murray; Line Eikvil; Arnt Børre Salberg; Automatic interpretation of otoliths with deep learning - explaining predictions 2019. Rapport

Henrik Stryhn; Lars Qviller; Peder A Jansen; Anja Bråthen Kristoffersen; Magne Tommy Aldrin; Evaluating the impact of zoning in Norwegian aquaculture on sea lice populations at salmon production sites 2019. Vitenskapelig foredrag

Britt Bang Jensen; Anja Bråthen Kristoffersen; Magne Tommy Aldrin; Lars Qviller; A web-based app for simulating spread of PD 2019. Vitenskapelig foredrag

Anders Løland; Fem grunner til at vi ikke lykkes med kunstig intelligens (ennå) vol. 130, pp. 31 31 , 2019. Kronikk

Line Eikvil; Marit Holden; Deep learning for ultrasound images - next steps 2019. Rapport

Karina Standahl Olsen; Marit Holden; Lill-Tove Rasmussen Busund; Eiliv Lund; Lars Holden; Post-diagnostic blood gene expression profiles in breast cancer - NOWAC Post-genome Cohort 2019. Poster

Ragnar Bang Huseby; Magne Tommy Aldrin; Recent developments in statistical modelling of disease dispersal in marine fish aquaculture 2019. Vitenskapelig foredrag

Martin Jullum; Kjersti Aas; Anders Løland; How to open the black box -- Individual prediction explanation 2019. Vitenskapelig foredrag

Martin Liermann; Peter Guttorp; Beyond Calculations: A Course in Statistical Thinking American Statistician, vol. 73, pp. 392 401 , (ISSN 0003-1305 1537-2731 ), doi: https://doi.org/10.1080/00031305.2018.1505657 , 2019. Vitenskapelig artikkel

Anders Løland; Explaining and opening the black box – methods and research challenges 2019. Faglig foredrag

Martin Daniel Cooney; Wolfgang Leister; Using the Engagement Profile to Design an Engaging Robotic Teaching Assistant for Students Robotics, vol. 8, (ISSN 2218-6581 ), doi: https://doi.org/10.3390/robotics8010021 , 2019. Vitenskapelig artikkel

Anders Løland; AI, AI; trenger vi et (eller flere) algoritmetilsyn? 2019. Faglig foredrag

Stefania Salvatore; Knut Dagestad Rand; Ivar Grytten; Egil Ferkingstad; Diana Domanska; Lars Holden; Marius Gheorghe; Anthony Mathelier; Ingrid Kristine Glad; Geir Kjetil Sandve; Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysis Briefings in Bioinformatics, pp. 1 8 , (ISSN 1467-5463 1477-4054 ), doi: https://doi.org/10.1093/bib/bbz083 , 2019. Vitenskapelig artikkel

Anders Løland; Er urettferdige algoritmer uungåelig? 2019. Faglig foredrag

Anders Løland; Vil vi ha robotlate dommere? Aftenposten (morgenutg. : trykt utg.), vol. 160, pp. 27 27 , (ISSN 0804-3116 0807-2027 ), , 2019. Leserinnlegg

Ragnar Bang Huseby; Anders Løland; Annabelle Alice Redelmeier; Fredrik L Aanes; Tor Arne Øigård; BalPrice -- Forecast of balancing prices 2019. Rapport