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Publications by department

Publications by department

Department: SAMBA
Period: 2023 - 2023

    Academic journal articles

    2023

    Aastveit, Marthe Elisabeth; Cunen, Celine Marie Løken; Hjort, Nils Lid. A new framework for semi-Markovian parametric multi-state models with interval censoring. Statistical Methods in Medical Research (ISSN 0962-2802). doi: 10.1177/09622802231160550. 2023.

    Barna, Danielle Marie; Engeland, Kolbjørn; Thorarinsdottir, Thordis Linda; Xu, Chong-Yu. Flexible and consistent Flood–Duration–Frequency modeling: A Bayesian approach. Journal of Hydrology (ISSN 0022-1694). 620 doi: 10.1016/j.jhydrol.2023.129448. 2023.

    Bellier, Joseph; Whitin, Brett; Scheuerer, Michael; Brown, James; Hamill, Thomas M.. A Multi-Temporal-Scale Modulation Mechanism for the Postprocessing of Precipitation Ensemble Forecasts: Benefits for Streamflow Forecasting. Journal of Hydrometeorology (ISSN 1525-755X). 24(4) pp 659-673. doi: 10.1175/JHM-D-22-0119.1. 2023.

    Bojarskaite, Laura; Vallet, Alexandra Honorine Emilie; Bjørnstad, Daniel Marelius; Binder, Kristin Maria Gullestad; Cunen, Celine; Heuser, Kjell; Kuchta, Miroslav; Mardal, Kent-Andre; Enger, Rune. Sleep cycle-dependent vascular dynamics in male mice and the predicted effects on perivascular cerebrospinal fluid flow and solute transport. Nature Communications (ISSN 2041-1723). 14(1) doi: 10.1038/s41467-023-36643-5. 2023.

    Choi, Changkyu; Kampffmeyer, Michael; Jenssen, Robert; Handegard, Nils Olav; Salberg, Arnt-Børre. Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data. IEEE Journal of Oceanic Engineering (ISSN 0364-9059). 48(2) pp 384-400. doi: 10.1109/JOE.2022.3226214. 2023.

    Engebretsen, Solveig; Palomares, Alfonso Diz-Lois; Rø, Gunnar; Kristoffersen, Anja Bråthen; Lindstrøm, Jonas Christoffer; Engø-Monsen, Kenth; Kamineni, Meghana; Chan, Yat Hin; Dale, Ørjan; Midtbø, Jørgen E.; Stenerud, Kristian Lindalen; Di Ruscio, Francesco; White, Richard Aubrey; Frigessi, Arnoldo; De Blasio, Birgitte Freiesleben. A real-time regional model for COVID-19: Probabilistic situational awareness and forecasting. PLoS Computational Biology (ISSN 1553-734X). 19(1) pp 1-26. doi: 10.1371/journal.pcbi.1010860. 2023. Institutional archive 

    Howell, Daniel; Godiksen, Jane Aanestad; Tranang, Caroline Aas; Berg, Erik; Bernreuther, Matthias; Bogstad, Bjarte; Breivik, Olav Nikolai; Casas, Jose Miguel; Clain, Laura; Eidset, Elise; Eriksen, Elena; Fall, Johanna Jennifer Elisabeth; Fossheim, Maria; Gjøsæter, Harald; Gundersen, Sofie; Hallfredsson, Elvar Halldor; Höffle, Hannes; Johannessen, Edda; Nedreaas, Kjell Harald; Nielsen, Anders; Skaret, Georg; Staby, Arved; Stock, Brian; Subbey, Samuel; Tallman, Ross; Trochta, John Tyler; Vollen, Tone; Windsland, Kristin. Arctic Fisheries Working Group (AFWG; outputs from 2022 meeting). ICES Scientific Reports (ISSN 2618-1371). 5(18) pp 1-507. doi: 10.17895/ices.pub.20012675. 2023.

    Kakad, Meetali; Utley, Martin; Dahl, Fredrik Andreas. Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway. Health Systems (ISSN 2047-6965). doi: 10.1080/20476965.2023.2174453. 2023.

    Kamineni, Meghana; Engø-Monsen, Kenth; Midtbø, Jørgen E.; Forland, Frode; De Blasio, Birgitte Freiesleben; Frigessi, Arnoldo; Engebretsen, Solveig. Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021. Eurosurveillance (ISSN 1025-496X). 28(17) doi: 10.2807/1560-7917.ES.2023.28.17.2200382. 2023.

    Switanek, Matthew B.; Hamill, Thomas M.; Long, Lindsey N.; Scheuerer, Michael. Predicting subseasonal tropical cyclone activity using NOAA and ECMWF reforecasts. Weather and forecasting (ISSN 0882-8156). pp 357-370. doi: 10.1175/WAF-D-22-0124.1. 2023.

    Tedesco, Paulina Souza; Lenkoski, Frank Alexander; Bloomfield, Hannah C.; Sillmann, Jana. Gaussian copula modeling of extreme cold and weak-wind events over Europe conditioned on winter weather regimes. Environmental Research Letters (ISSN 1748-9326). 18(3) doi: 10.1088/1748-9326/acb6aa. 2023.

    Tjøstheim, Dag Bjarne; Jullum, Martin; Løland, Anders. Some recent trends in embeddings of time series and dynamic networks. Journal of Time Series Analysis (ISSN 0143-9782). doi: 10.1111/jtsa.12677. 2023.

    Yuan, Qifen; Thorarinsdottir, Thordis; Beldring, Stein; Wong, Wai Kwok; Xu, Chong-Yu. Assessing uncertainty in hydrological projections arising from local-scale internal variability of climate. Journal of Hydrology (ISSN 0022-1694). 620 doi: 10.1016/j.jhydrol.2023.129415. 2023.

    Academic lectures

    2023

    Aas, Kjersti. Two case studies: Model for risk of rainfall-induced water damages and use of machine learning to predict customer churn. Konferanse, Nordic meeting on Insurance Mathematics,; Stockholm, 03.05.2023 - 04.05.2023.

    Thorarinsdottir, Thordis. From weather to climate predictions. Workshop, Forecasting natural and social systems; London, 13.03.2023 - 14.03.2023.

    Tveten, Martin. Industrial applications of changepoint detection: Anomalies, on-off-patterns and concept drift. Arrangement, ChangeTrend: Identifying and assessing windows of change; Oslo, 29.03.2023.

    Scientific lectures

    2023

    Aas, Kjersti. Explainable AI: Shapley Values. Gjesteforelesning, Guest lecture 3 in the course "Advanced statistical methods in inference and learning; Trondheim, 27.03.2023.

    Aas, Kjersti. MCCE: Monte Carlo sampling of valid and realistic Counterfactual Explanations for tabular data. Konferanse, FinTech AI in Finance and Banking; Trondheim, 23.05.2023 - 24.05.2023.

    Aas, Kjersti. Explainable AI: LIME and Counterfactual explanations. Gjesteforelesning, Guest lecture 2 in the course "Advanced statistical methods in inference and learning; Trondheim, 24.03.2023.

    Aas, Kjersti. Explainable AI: Global explanations. Gjesteforelesning, Guest lecture 1 in the course "Advanced statistical methods in inference and learning; Trondheim, 20.03.2023.

    Aas, Kjersti. Bruk av AI i finans og forskring – hva er våre erfaringer? Seminar, Hvordan bruker finansnæringen kunstig intelligens?; Oslo, 19.04.2023.

    Engebretsen, Solveig. Situasjonsforståelse og framskrivning av COVID-19 i Norge. Arrangement, Frokostarrangement; NTNU, 08.03.2023.

    Haug, Ola. Assessing building water damage risk under climate change. Konferanse, Tryg Forsikring pricing conference; Malmö, 02.05.2023 - 03.05.2023.

    Haug, Ola; Heinrich-Mertsching, Claudio. Modelling building water damage risk in a changing climate. Seminar, Klimarisiko & forsikring; Oslo, 19.01.2023.

    Hellton, Kristoffer Herland; Løland, Anders; Engebretsen, Solveig. Alt du kan lære om statistisk modellering og maskinlæring på en dag. Seminar, Kurs; Oslo, 31.05.2023.

    Hellton, Kristoffer Herland; Løland, Anders; Engebretsen, Solveig. Alt du kan lære om statistisk modellering og maskinlæring på en dag. Seminar, Kurs; Oslo, 10.05.2023.

    Løland, Anders. Å forstå og bruke statistikk når man dekker forskning. Gjesteforelesning, Science and the media; Oslo, 01.02.2023.

    Løland, Anders. Hva er kunstig intelligens, hva kan den gjøre og hva kan den ikke gjøre? Konferanse, eForvaltningskonferansen 2023; Oslo, 22.05.2023.

    Waldeland, Anders Ueland. Foredrag om ChatGPT. Arrangement, Foredrag om ChatGPT; Forum Jæren, 01.06.2023.

    Posters at scientific conferences

    2023

    Handegard, Nils Olav; Algrøy, Tonny; Eliassen, Inge Kristian; Forland, Tonje Nesse; Johnsen, Espen; Pedersen, Audun Oppedal; Pedersen, Geir; Tenningen, Maria; Utseth, Ingrid. Centre for research based innovation in marine acoustic abundance estimation and backscatter classification (CRIMAC). Geilo Winter School; Geilo, 22.01.2023 - 27.01.2023.

    Reports

    2023

    Aldrin, Magne Tommy; Huseby, Ragnar Bang; Jansen, Peder A. Risiko for PD-smitte relatert til brønnbåtpasseringer og nærhet til slakterier. Norsk Regnesentral, Oslo. NR-notat SAMBA/44/22. pp 17. 2023.

    Løland, Anders; Engebretsen, Solveig. Beregning av pantegrad og innsamlingsgrad for 2022. Norsk Regnesentral, . NR-notat SAMBA/11/23. pp 65. 2023.

    Løland, Anders; Engebretsen, Solveig. Estimation of DRS collection rate by unit and total collection rate by unit for 2022. Norsk Regnesentral, . NR-notat SAMBA/12/23. pp 67. 2023.

    Wahl, Jens Christian; Heinrich-Mertsching, Claudio; Liu, Izzie Yi; Thorarinsdottir, Thordis; Haug, Ola. Gjensidige Denmark: Water damage risk model and preliminary analysis of storm damages. Norsk Regnesentral, . NR-notat SAMBA/03/23. pp 46. 2023.

    Popular scientific lectures

    2023

    Løland, Anders. Når virkeligheten kan hackes: hva er sant og hva kan vi stole på? Og hva gjør vi med det? (panelsamtale). LYS OG MØRKE, TEKNOLOGI OG DEMOKRATI, EPISODE 2; SINTEF, Forskningsparken og Universitetet i Oslo, Forskningsparken, Oslo, 02.03.2023.

    Løland, Anders. Hva har vi lært, hva har vi fått til – og vår vei videre. SFI-forum; Norges Forskningsråd, Lysaker, 23.05.2023.

    Løland, Anders. Edruelig og ansvarlig kunstig intelligens: Hvordan bør samfunnet håndtere de nye mulighetene? Nasjonalt nettverk for kritisk medieforståelse; Medietilsynet, Oslo, 18.04.2023.

    Løland, Anders. Panel: How Norway Can Become a Leading AI Nation, as Sweden & Finland. GENERATIVE AI WORKSHOP; OsloMet University, Oslo, 23.03.2023.

    Feature articles

    2023

    Falkum, Ingrid Lossius; Lison, Pierre. Er prateroboten ChatGPT en klok samtale­partner eller papegøye? Forskersonen.no. 2023.

    Korsvoll, Nils Hallvard; Lison, Pierre; Reinertsen, Hilde; Elken, Mari; De Korne, Haley; Hansen, Kai Arne; Danbolt, Bjørn Kristian. Fire tiltak for en bedre språkpolitikk i akademia. Khrono.no. 2023.

    Reader opinion pieces

    2023

    Løland, Anders. Mer nyansert om algoritmetilsyn. Morgenbladet, 2023-02-10 , pp. 26

    Løland, Anders. Hvorfor er kunstig intelligens så vanskelig å regulere?. Dagens næringsliv, 2023-05-05 , pp. 37

    Media contributions

    2023

    Haug, Ola. Lansering av Finans Norges klimarapport 2023. 2023. [Internet] 27.03.2023.

    Jemterud, Torkild; Engebretsen, Solveig; Paus Knudsen, Julie; Kvellestad, Anders. Abels tårn. 2023. NRK P2 [Radio] 03.02.2023.

    Løland, Anders. Webinar: Meld fra hvor du går med kunstig intelligens. 2023. datatilsynet.no [Internet] 09.05.2023.

    Programme management

    2023

    Løland, Anders; Utseth, Ingrid. Forsker Ingrid har vært på tokt. 2023.

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
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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