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Ingrid Aarnes; Valhall 5B model report 2023. Report

Publisher Norsk Regnesentral

Ahmet Pala; Anna Oleynik; Ingrid Utseth; Nils Olav Handegard; Addressing class imbalance in deep learning for acoustic target classification ICES Journal of Marine Science, vol. 80, pp. 2530 2544 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsad165 , 2023. Scientific article

Claudio Constantin Heinrich-Mertsching; Jens Christian Wahl; Alba Ordonez; Marita Stien; John Elvsborg; Ola Haug; Thordis Linda Thorarinsdottir; Assessing present and future risk of water damage using building attributes, meteorology, and topography Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 72, pp. 809 828 , (ISSN 0035-9254 1467-9876 ), doi: https://doi.org/10.1093/jrsssc/qlad043 , 2023. Scientific article

Torstein Mæland Fjeldstad; – MFK har skjebnen i egne hender 2023. Media interview

Ingrid Aarnes; Data in abundance, but how do we turn it into information? 2023. Lecture

Kjersti Aas; Linda Reiersølmoen Neef; RSM Versjon 5.0.2 Økonomisk scenariogenerator 2023. Report

Publisher Norsk Regnesentral

Hanne Therese Wist Rognebakke; Introduksjon til R – verktøy for statistisk analyse og maskinlæring 2023. Lecture

Kjersti Aas; Marthe Elisabeth Aastveit; Simuleringsmodell for innskuddsforpliktelser versjon III: Brukermanual 2023. Report

Publisher Norsk Regnesentral

Kjersti Aas; Jens Christian Wahl; Model for determining the Norwegian deposit guarantee fund liabilities - Version III: Technical report 2023. Report

Publisher Norsk Regnesentral

Petter Abrahamsen; Uncertainty, probability and bad luck 2023. Lecture

Nora Røhnebæk Aasen; Olav Nikolai Breivik; Hanne Therese Wist Rognebakke; Punktestimat fra romlig modell som parameter i XGBoost modell 2023. Report

Publisher Norsk Regnesentral

Torstein Mæland Fjeldstad; Anders Løland; Tallknuserens dom: Dette er sannsynligheten for at Start rykker opp 2023. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Tallknusernes dom: Dette er sannsynligheten for at KIL rykker opp 2023. Media interview

Kjersti Aas; Explainable AI: Shapley Values 2023. Lecture

Federica Ghione; Andreas Köhler; Anna Maria Dichiarante; Ingrid Aarnes; Volker Oye; Vs30 and depth to bedrock estimates from integrating HVSR measurements and geology-slope approach in the Oslo area, Norway Frontiers in Earth Science, vol. 11, (ISSN 2296-6463 ), doi: https://doi.org/10.3389/feart.2023.1242679 , 2023. Scientific article

Anders Løland; Når kommer neste nedtur for kunstig intelligens? Dagens næringsliv, vol. 134, pp. 29 29 , (ISSN 0803-9372 ), , 2023. Reader opinion

Agustin Arguello Scotti; Ingrid Aarnes; Jacob Skauvold; Ragnar Hauge; Christian Haug Eide; John Howell; Next generation reservoir modelling algortithms - Shallow marine environments 2023. Scientific lecture

Sinan Sigurd Tanilkan; Jo Erskine Hannay; Effects of Ways of Working on Changes to Understanding of Benefits – Comparing Projects and Continuous Product Development Lecture Notes in Computer Science (LNCS), vol. 14483, pp. 20 38 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-031-49266-2_2 , 2023. Scientific article

Feiyang Tang; Bjarte M. Østvold; Magiel Bruntink; Identifying Personal Data Processing for Code Review pp. 568 575 , doi: https://doi.org/10.5220/0011725700003405 , 2023. Scientific chapter / article / conference article

Kjersti Aas; Explainable AI: LIME and Counterfactual explanations 2023. Lecture