Now showing items 271-276 of 276

    • Validation of point process predictions with proper scoring rules 

      Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda; Schneider, Max; Guttorp, Peter (NR-notat;, Research report, 2020)
      We introduce a class of proper scoring rules for evaluating spatial point process forecastsbased on summary statistics. These scoring rules rely on Monte-Carlo approximation ofan expectation and can therefore easily be ...
    • View it like a radiologist: Shifted windows for deep learning augmentation of CT images 

      Østmo, Eirik Agnalt; Wickstrøm, Kristoffer; Radiya, Keyur; Kampffmeyer, Michael; Jenssen, Robert (Journal article; Peer reviewed, 2023)
      Deep learning has the potential to revolutionize medical practice by automating and performing important tasks like detecting and delineating the size and locations of cancers in medical images. However, most deep learning ...
    • Vs30 and depth to bedrock estimates from integrating HVSR measurements and geology-slope approach in the Oslo area, Norway 

      Ghione, Federica; Köhler, Andreas; Dichiarante, Anna Maria; Aarnes, Ingrid; Oye, Volker (Journal article; Peer reviewed, 2023)
      This work shows an alternative and efficient method to estimate Vs30 values and depth to basement data. The Vs30 value is the most important attribute to characterize the soil type and subsequently account for soil type ...
    • Vurdering av tiltak mot lakselus i PO3, for reduksjon av smittepress 

      Engebretsen, Solveig; Aldrin, Magne Tommy; Grøntvedt, Randi; Jansen, Peder; Nøst, Ole Anders (NR-notat;, Research report, 2021)
    • Whole exome sequencing of high-risk neuroblastoma identifies novel non-synonymous variants 

      Przybyla, Weronika; Gjersvoll Paulsen, Kirsti Marie; Mishra, Charitra Kumar; Nygård, Ståle; Engebretsen, Solveig; Ruud, Ellen; Trøen, Gunhild; Beiske, Klaus; Baumbusch, Lars Oliver (Journal article; Peer reviewed, 2022)
      Neuroblastoma (NBL), one of the main death-causing cancers in children, is known for its remarkable genetic heterogeneity and varied patient outcome spanning from spontaneous regression to widespread disease. Specific copy ...
    • Yield predictions of timothy (Phleum pratense L.) in Norway under future climate scenarios 

      Hellton, Kristoffer Herland; Amdahl, Helga; Thorarinsdottir, Thordis; Alsheikh, Muath K; Aamlid, Trygve S.; Jørgensen, Marit; Dalmannsdottir, Sigridur; Rognli, Odd Arne (Journal article; Peer reviewed, 2023)
      The perennial forage grass timothy (Phleum pratense L.) is the most important forage crop in Norway. Future changes in the climate will affect growing conditions and hence the yield output. We used data from the Norwegian ...