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Publications by department

Publications by department

Department: SAMBA
Period: 2020 - 2020

    Academic anthologies

    2020

    Alfter, David; Volodina, Elena; Pilán, Ildikó; Lange, Herbert; Borin, Lars (eds). Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020). Linköping University Electronic Press. (ISBN 978-91-7929-732-9). pp 45. 2020.

    Academic journal articles

    2020

    Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Deep generative models for reject inference in credit scoring. Knowledge-Based Systems (ISSN 0950-7051). 196 doi: 10.1016/j.knosys.2020.105758. 2020.

    Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Learning latent representations of bank customers with the Variational Autoencoder. Expert systems with applications (ISSN 0957-4174). doi: 10.1016/j.eswa.2020.114020. 2020.

    Binde, Caroline Ditlev; Tvete, Ingunn Fride; Gåsemyr, Jørund Inge; Natvig, Bent; Klemp, Marianne. Comparative effectiveness of dopamine agonists and monoamine oxidase type-B inhibitors for Parkinson’s disease: a multiple treatment comparison meta-analysis. European Journal of Clinical Pharmacology (ISSN 0031-6970). 76(12) pp 1731-1743. doi: 10.1007/s00228-020-02961-6. 2020. Institutional archive 

    Brautaset, Olav; Waldeland, Anders Ueland; Johnsen, Espen; Malde, Ketil; Eikvil, Line; Salberg, Arnt-Børre; Handegard, Nils Olav. Acoustic classification in multifrequency echosounder data using deep convolutional neural networks. ICES Journal of Marine Science (ISSN 1054-3139). 77(4) pp 1391-1400. doi: 10.1093/icesjms/fsz235. 2020.

    Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert. Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Proceedings of the Northern Lights Deep Learning Workshop doi: 10.7557/18.5136. 2020.

    Engebretsen, Solveig; Glad, Ingrid Kristine. Partially linear monotone methods with automatic variable selection and monotonicity direction discovery. Statistics in Medicine (ISSN 0277-6715). 39(25) pp 3549-3568. doi: 10.1002/sim.8680. 2020.

    Gautvik, Kaare M; Günther, Clara-Cecilie; Prijatelj, Vid; Medina-Gomez, Carolina; Shevroja, Enisa; Leila, Heidary Rad; Yazdani, Mazyar; Lindalen, Einar; Valland, Haldor; Gautvik, Vigdis T; Olstad, Ole Kristoffer; Holden, Marit; Rivadeneira, Fernando; Utheim, Tor Paaske; Reppe, Sjur. Distinct subsets of noncoding RNAs are strongly associated with BMD and fracture, studied in weight-bearing and non-weight-bearing human bone. Journal of Bone and Mineral Research (ISSN 0884-0431). doi: 10.1002/jbmr.3974. 2020.

    Gilbert, Andrew David; Holden, Marit; Eikvil, Line; Rakhmail, Mariia; Babic, Aleksandar; Aase, Svein Arne; Samset, Eigil; Mcleod, Kristin. User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing. IEEE journal of biomedical and health informatics (ISSN 2168-2194). doi: 10.1109/JBHI.2020.3029392. 2020. Institutional archive 

    Haug, Ola; Thorarinsdottir, Thordis Linda; Sørbye, Sigrunn Holbek; Franzke, Christian L.E.. Spatial trend analysis of gridded temperature data at varying spatial scales. Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO) (ISSN 2364-3579). 6(1) pp 1-12. doi: 10.5194/ascmo-6-1-2020. 2020.

    Heinrich, Claudio Constantin. On the number of bins in a rank histogram. Quarterly Journal of the Royal Meteorological Society (ISSN 0035-9009). doi: 10.1002/qj.3932. 2020.

    Hellton, Kristoffer Herland; Cummings, Jeffrey; Vik-Mo, Audun Osland; Nordrehaug, Jan Erik; Aarsland, Dag; Selbæk, Geir; Melvær, Giil Lasse. The Truth behind the Zeros: A New Approach to Principal Component Analysis of the Neuropsychiatric Inventory. Multivariate Behavioral Research (ISSN 0027-3171). doi: 10.1080/00273171.2020.1736976. 2020.

    Hubin, Aliaksandr; Storvik, Geir Olve; Frommlet, Florian. Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression". Bayesian Analysis (ISSN 1936-0975). 15(1) pp 312-333. doi: 10.1214/18-ba1141. 2020.

    Hubin, Aliaksandr; Storvik, Geir Olve; Grini, Paul Eivind; Butenko, Melinka Alonso. A Bayesian binomial regression model with latent gaussian processes for modelling DNA methylation. Austrian Journal of Statistics (ISSN 1026-597X). 49(4) pp 46-56. doi: 10.17713/ajs.v49i4.1124. 2020. Institutional archive 

    Jensen, Are Charles; Austeng, Andreas. Speckle Reduction Using Adaptive Receive-Side Compounding. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control (ISSN 0885-3010). doi: 10.1109/TUFFC.2020.3035031. 2020.

    Jullum, Martin; Løland, Anders; Huseby, Ragnar Bang; Ånonsen, Geir; Lorentzen, Johannes P. Detecting money laundering transactions with machine learning. Journal of Money Laundering Control (ISSN 1368-5201). 23(1) pp 173-186. doi: 10.1108/JMLC-07-2019-0055. 2020. Full-text 

    Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Learning latent representations of bank customers with the Variational Autoencoder. Expert systems with applications (ISSN 0957-4174). doi: 10.1016/j.eswa.2020.114020. 2020.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Dense dilated convolutions merging network for land cover classification. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). doi: 10.1109/TGRS.2020.2976658. 2020.

    Malde, Ketil; Handegard, Nils Olav; Eikvil, Line; Salberg, Arnt Børre. Machine intelligence and the data-driven future of marine science. ICES Journal of Marine Science (ISSN 1054-3139). doi: 10.1093/icesjms/fsz057. 2020.

    Nancy, Garcia; Guttorp, Peter; Guillerme, Ludwig. Interacting cluster point process model for epidermal nerve fibers. Spatial Statistics (ISSN 2211-6753). 35 doi: 10.1016/j.spasta.2020.100414. 2020.

    Næsset, Erik; McRoberts, Ronald E.; Pekkarinen, Anssi; Saatchi, Sassan; Santoro, Maurizio; Trier, Øivind Due; Zahabu, Eliakimu; Gobakken, Terje. Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania. International Journal of Applied Earth Observation and Geoinformation (ISSN 1569-8432). 89 doi: 10.1016/j.jag.2020.102109. 2020.

    Ordonez, Alba; Eikvil, Line; Salberg, Arnt-Børre; Harbitz, Alf; Murray, Sean Meling; Kampffmeyer, Michael. Explaining decisions of deep neural networks used for fish age prediction. PLOS ONE (ISSN 1932-6203). 15(6) doi: 10.1371/journal.pone.0235013. 2020.

    Otneim, Håkon; Jullum, Martin; Tjøstheim, Dag Bjarne. Pairwise local Fisher and naive Bayes: Improving two standard discriminants. Journal of Econometrics (ISSN 0304-4076). 216(1) pp 284-304. doi: 10.1016/j.jeconom.2020.01.019. 2020.

    Schuhen, Nina. Order of operation for multi-stage post-processing of ensemble wind forecast trajectories. Nonlinear processes in geophysics (ISSN 1023-5809). 27 pp 35-49. doi: 10.5194/npg-27-35-2020. 2020.

    Trier, Øivind Due; Reksten, Jarle Hamar; Løseth, Kristian. Automated mapping of cultural heritage in Norway from airborne lidar data using faster R-CNN. International Journal of Applied Earth Observation and Geoinformation (ISSN 1569-8432). 95 doi: 10.1016/j.jag.2020.102241. 2020.

    Wickstrøm, Kristoffer Knutsen; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Revhaug, Arthur; Jenssen, Robert. Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE journal of biomedical and health informatics (ISSN 2168-2194). doi: 10.1109/JBHI.2020.3042637. 2020.

    Yu, Shujian; Wickstrøm, Kristoffer Knutsen; Jenssen, Robert; Principe, Jose. Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. IEEE Transactions on Neural Networks and Learning Systems (ISSN 2162-237X). doi: 10.1109/TNNLS.2020.2968509. 2020.

    Academic literature reviews

    2020

    Jourdain, Natoya; Breivik, Olav Nikolai; Fuglebakk, Edvin; Aanes, Sondre; Vølstad, Jon Helge. Evaluation of sampling strategies for age determination of cod (Gadus morhua) sampled at the North Sea International Bottom Trawl Survey. ICES Journal of Marine Science (ISSN 1054-3139). 77(3) pp 859-869. doi: 10.1093/icesjms/fsaa013. 2020.

    Academic chapters

    2020

    Chiu, Mang Tik; Xingqiang, Xu; Wang, Kai; Hobbs, Jennifer; Hovakimyan, Naira; Huang, Thomas S.; Shi, Honghui; Wei, Yunchao; Huang, Zilong; Schwing, Alexander; Brunner, Robert; Dozier, Ivan; Dozier, Wyatt; Ghandilyan, Karen; Wilson, David; Park, Hyunseong; Kim, Junhee; Kim, Sungho; Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre; Barbosa, Alexandre; Trevisan, Rodrigo; Zhao, Bingchen; Yu, Shaozuo; Yang, Siwei; Wang, Yin; Sheng, Hao; Chen, Xiao; Su, Jingyi; Rajagopal, Ram; Ng, Andrew; Huynh, Van Thong; Kim, Soo-Hyung; Na, In-Seop; Baid, Ujjwal; Innani, Shubham; Dutande, Prasad; Baheti, Bhakti; Talbar, Sanjay; Tang, Jianyu. The 1st Agriculture-Vision Challenge: Methods and Results. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 48-49. doi: 10.1109/CVPRW50498.2020.00032. 2020.

    Holden, Marit; Holden, Lars. Statistics of Sparsely Sampled Curves. In: Advancing Systems Epidemiology in Cancer - Exploring Trajectories of Gene Expression. (ISBN 978-82-15-04119-3). pp 95-109. 2020.

    Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr; Touileb, Samia. Named Entity Recognition without Labelled Data: A Weak Supervision Approach. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. (ISBN 978-1-952148-25-5). pp 1518-1533. 2020.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 199-205. doi: 10.1109/CVPRW50498.2020.00030. 2020.

    Pilán, Ildikó; Brekke, Pål H.; Dahl, Fredrik Andreas; Gundersen, Tore; Husby, Haldor; Nytrø, Øystein; Øvrelid, Lilja. Classification of Syncope Cases in Norwegian Medical Records. In: Proceedings of the 3rd Clinical Natural Language Processing Workshop. (ISBN 978-1-952148-74-3). pp 79-84. 2020.

    Academic lectures

    2020

    Aas, Kjersti. Dependence modeling via Vine Copulas. Seminar, Seminar CASS Business School, 26.02.2020.

    Aas, Kjersti. Maskinlæring i forsikring. Seminar, Seminar hos If forsikring; Oslo, 05.03.2020.

    Aldrin, Magne Tommy. Forebyggende tiltak mot lus - hvor godt virker de? Besvart ved hjelp av scenariosimulering fra Rogaland. Konferanse, Havbrukskonferansen 2020; Digitalt, 09.06.2020 - 10.06.2020.

    Aldrin, Magne Tommy; Aanes, Sondre; Tvete, Ingunn Fride; Subbey, Samuel. The data model part of SAM matters. Workshop, WKRFSAM - Workshop on the Review and Future of State Space Stock Assessment Models in ICES; København, 21.01.2020 - 23.01.2020.

    Engebretsen, Solveig. Modellering av geografisk spredning av COVID-19 i Norge. Arrangement, Årsmøte Norsk matematikkråd, 25.09.2020.

    Engebretsen, Solveig. Pandemimodellering for COVID-19 i Norge ved hjelp av mobildata. Konferanse, Helseteknologikonferansen 2020, 10.09.2020.

    Engebretsen, Solveig. Spatial modelling of COVID-19 in Norway. Konferanse, NORBIS Annual conference, 03.11.2020 - 04.11.2020.

    Fredricson Marquez, Jonatan; Lee, Aline Magdalena; Aanes, Sondre; Sæther, Bernt-Erik. Spatial synchrony variation between life stages in marine fish populations. Konferanse, fourth conference of the Nordic Society Oikos; Reykjavik, 03.03.2020 - 05.03.2020.

    Fredricson Marquez, Jonatan; Lee, Aline Magdalena; Engen, Steinar; Aanes, Sondre; Salthaug, Are; Sæther, Bernt-Erik. Age-structure and spatial autocorrelation in marine fish populations. Konferanse, Festival of ecology; Online, 14.12.2020 - 18.12.2020.

    Hubin, Aliaksandr; Storvik, Geir Olve; Frommlet, Florian. A novel algorithmic approach to Bayesian Logic Regression. Seminar, Bayesian Analysis discussion paper webinar; online, 26.02.2020.

    Jansen, Mona Dverdal; Aldrin, Magne Tommy; Huseby, Ragnar Bang; Jensen, Britt Bang. Modelling scenarios for control and mitigation of Infectious Salmon Anemia (ISA). Arrangement, 24th AW for National Reference Laboratories for fish diseases; Online webinar, 04.11.2020 - 05.11.2020.

    Jullum, Martin. How to open the black box – individual prediction explanation. Seminar, Statistics seminar series at Department of Mathematical Sciences, NTNU; Trondheim, 09.03.2020.

    Lison, Pierre. Named Entity Recognition without Labelled Data: A Weak Supervision Approach. Arrangement, Association for Computational Linguistics; Online, 06.07.2020 - 08.07.2020.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net Models for The 1st Agriculture-Vision Challenge. Workshop, CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (online), 14.06.2020 - 19.06.2020.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation. Workshop, CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (Online), 14.06.2020 - 19.06.2020.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. SCG-Net for Semantic Labeling. Konferanse, IGARSS 2020; Virtual Symposium, 26.09.2020 - 02.10.2020.

    Ordonez, Alba; Salberg, Arnt-Børre. Making sense of deep CNNs for image recognition applications. Arrangement, XAI - Explaning what goes on inside DNN/AI.; Digitalt, 10.11.2020.

    Schneider, Philipp; Hamer, Paul David; Vogt, Matthias; Trier, Øivind Due; Solberg, Rune; Skogesal, Hogne; Brobakk, Trond Einar; Ramfjord, Hallvard. SEN4POL – Towards a Sentinel-based pollen information service. Arrangement, Faggruppe satellittdata workshop; Online, 07.09.2020.

    Schneider, Philipp; Hamer, Paul David; Vogt, Matthias; Trier, Øivind Due; Solberg, Rune; Skogesal, Hogne; Brobakk, Trond Einar; Ramfjord, Hallvard. SEN4POL – Towards a Sentinel-based pollen information service. Arrangement, Copernicus Day of the Norwegian Space Agency; Online, 22.10.2020.

    Thorarinsdottir, Thordis Linda. From weather to climate predictions. Konferanse, 40th International Symposium on Forecasting; Virtual, 26.10.2020 - 28.10.2020.

    Tvete, Ingunn Fride; Aldrin, Magne Tommy. Dødelighet i oppdrettsanlegg. Konferanse, Havbruk 2020; Digitalt, 09.06.2020.

    Scientific lectures

    2020

    Aas, Kjersti. Analyse av salgs- og kundedata for effektivisering og verdiskapning. Workshop, Prosess 21 Workshop; Fornebu, 10.02.2020.

    Aas, Kjersti. Explainable AI for finance. Seminar, Machine Learning for Finance; BI, 23.01.2020.

    Aas, Kjersti. Explaining predictions from machine learning methods when features are dependent. Seminar, Analytics Summit; Oslo, 28.01.2020.

    Aas, Kjersti. How to explain AI models? A comparison of LIME and Shapley. Seminar, Responsible use of data and AI; Oslo, 27.01.2020.

    Aas, Kjersti. Ulike anvendelser av maskinlæring og statistisk modellering i finans og forsikring. Seminar, Medlemsmøte i Den Norske Aktuarforening; Oslo, 10.09.2020.

    Aas, Kjersti. Credit Scoring using Deep learning and how to explain predictions from black-box models. Seminar, Invited talk; Trondheim, 30.09.2020.

    Aas, Kjersti. Credit Scoring using Deep Learning and how to explain predictions from black-box models. Seminar, Cramérsällskapets årsmöte; Stockholm, 15.09.2020.

    Brautaset, Olav. Automatic target classification using supervised learning on marine acoustic data with auxiliary information. Workshop, Classifying fisheries acoustic data, 09.11.2020.

    Frigessi Di Rattalma, Arnoldo. Spatial modelling of early-phase COVID-19 epidemic in Norway. Arrangement, Infectious Dynamics of Pandemics: Mathematical and statistical challenges in understanding the dynamics of infectious disease pandemics; Cambridge, UK, 24.07.2020.

    Frigessi Di Rattalma, Arnoldo. In silico modelling of breast tumours for personalised therapy. Arrangement, CanCell yearly meeting 2020; Oslo, 16.10.2020.

    Frigessi Di Rattalma, Arnoldo. The Norwegian Covid-19 Model: a spatial modelling of the early phase epidemics. Arrangement, Webinar: The Norwegian Model of Covid-19: A spatial modelling of the early phase epidemics; webinar, 05.06.2020.

    Huseby, Ragnar Bang; Aldrin, Magne Tommy. Modell for spredning av virus innen og mellom oppdrettslokaliteter. Konferanse, Havbruk 2020, 09.06.2020 - 10.06.2020.

    Lison, Pierre. Developing NLP models without labelled data using weak supervision. Seminar, NFKF seminar; Oslo, 04.03.2020.

    Løland, Anders. Tree based models vs GLM/GAM. Konferanse, Gjensidige Analytics Summit; Oslo, 28.01.2020.

    Løland, Anders. Understanding and using statistics when covering scientific research. Gjesteforelesning, Science and the Media: Challenges for Journalism (MJ4300); Oslo, 05.02.2020.

    Løland, Anders. Explaining and opening the black box – methods and research challenges. Gjesteforelesning, XAI: Explaining what goes on inside DNN/AI; Oslo, 15.12.2020.

    Løland, Anders. JUS5671: NR, Big Insight and one question. Gjesteforelesning, JUS5671 – Legal Technology: Artificial Intelligence and Law; Domus Juridica, Oslo, 27.02.2020.

    Løland, Anders. Å forstå og bruke statistikk når man dekker forskning. Gjesteforelesning, Kurs; Oslo, 15.01.2020.

    Løland, Anders; Hellton, Kristoffer Herland. Alt du kan lære om statistisk modellering og maskinlæring på en dag. Seminar, Kurs; Oslo, 30.01.2020.

    Løland, Anders. Do we need an agency for algorithmic oversight? Seminar, Putting Ethical AI into Practice – expert talks and group exercise; Oslo, 05.03.2020.

    Løland, Anders. Forklarbar kunstig intelligens: Metodegjennomgang – utvalgte forklaringsmetoder. Seminar, Forklarbar kunstig intelligens; Norge, 14.05.2020.

    Løland, Anders. BigInsight – Norway's first (?) AI center. Seminar, Open AI Webinar, 18.09.2020.

    Salberg, Arnt-Børre. Automatisk bildetolkning ved hjelp av AI. Arrangement, Unmanned Nordic Converence - UNC 2020; Digitalt, 23.11.2020 - 24.11.2020.

    Teigland, André. General introduction to ML and AI. Konferanse, AI for businesses; Oslo, 24.06.2020.

    Wahl, Jens Christian. Fra statistikk til makskinlæring hos Norsk Regnesentral. Arrangement, Karriereuka UiO 2020; Oslo, 23.09.2020.

    Posters at scientific conferences

    2020

    Ordonez, Alba; Eikvil, Line; Salberg, Arnt Børre; Harbitz, Alf. Understanding a Neural Network by Visualization: Application to Fish Age Prediction. Northern Lights Deep Learning Workshop 2020; Tromsø, 20.01.2020 - 21.01.2020.

    Reports

    2020

    Aas, Kjersti; Wahl, Jens Christian. Simuleringsmodell for innskuddsforpliktelser versjon II: Brukermanual. Norsk Regnesentral, . NR-notat SAMBA/11/20. pp 35. 2020.

    Aas, Kjersti; Wahl, Jens Christian. Model for determining the Norwegian deposit guarantee fund liabilities-Version II: Technical report. Norsk Regnesentral, . NR-notat SAMBA/12/20. pp 33. 2020.

    Aas, Kjersti; Neef, Linda Reiersølmoen. Modell for Solvens II - Versjon XI: Teknisk rapport for balansemodul. Norsk Regnesentral, . NR-notat SAMBA/34/20. pp 78. 2020.

    Aas, Kjersti; Neef, Linda Reiersølmoen. Modell for Solvens II - Versjon XI: Modul for prising av rentegaranti. Norsk Regnesentral, . NR-notat SAMBA/38/20. pp 51. 2020.

    Aas, Kjersti; Neef, Linda Reiersølmoen. ALM-modell for Fremtind - Versjon 2: Teknisk rapport for balansemodulen. Norsk Regnesentral, . NR-notat SAMBA/42/20. pp 48. 2020.

    Aas, Kjersti; Neef, Linda Reiersølmoen. ALM-modell for Fremtind – Versjon 2: Estimeringsmodulen. Norsk Regnesentral, Oslo. NR-notat SAMBA/43/20. pp 71. 2020.

    Aldrin, Magne Tommy; Huseby, Ragnar Bang. Scenariosimulering for effekt av bekjempelsesstrategier mot ILA. Norsk Regnesentral, . NR-notat SAMBA/30/20. pp 17. 2020.

    Eikvil, Line; Holden, Marit; Holden, Lars; Brautaset, Olav. Machine learning for screening mammography - Initial analyses on a first limited dataset. Norsk Regnesentral, . NR-notat SAMBA/16/20. pp 45. 2020.

    Engebretsen, Solveig; Aldrin, Magne Tommy. Lusebeitingsadferd hos rognkjeks. NR-notat SAMBA/40/20, . pp 10. 2020.

    Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda; Wahl, Jens Christian; Haug, Ola; Matre, Andreas. Risikomodell for vannskader på bygninger og sensitivitet i klimaframskrivninger. Norsk Regnesentral, . NR-notat SAMBA/25/20. pp 91. 2020.

    Heinrich, Claudio Constantin; Wahl, Jens Christian; Thorarinsdottir, Thordis Linda; Haug, Ola. Risikomodell for vannskader på bygninger. Norsk Regnesentral, . NR-notat SAMBA/06/20. pp 75. 2020.

    Huseby, Ragnar Bang; Aldrin, Magne Tommy. Space-time models for the spread of infectious salmon anemia based on infection tracking and genetic information. Norsk Regnesentral, . NR-notat SAMBA/46/20. pp 30. 2020.

    Løland, Anders; Engebretsen, Solveig; Günther, Clara-Cecilie. Ny modell for beregning av pantegrad og innsamlingsgrad. Norsk Regnesentral, Oslo. NR-notat SAMBA/50/20. pp 26. 2020.

    Løland, Anders; Engebretsen, Solveig; Günther, Clara-Cecilie. Beregning av pantegrad og innsamlingsgrad for 2019. Norsk Regnesentral, Oslo. NR-notat SAMBA/04/20. pp 62. 2020.

    Løland, Anders; Wahl, Jens Christian. Price sections in FairPrice. Norsk Regnesentral, . NR-notat SAMBA/05/20. pp 18. 2020.

    Neef, Linda Reiersølmoen; Aas, Kjersti. Modell for Solvens II - Versjon XI: Brukermanual. Norsk Regnesentral, . NR-notat SAMBA/36/20. pp 121. 2020.

    Neef, Linda Reiersølmoen; Aas, Kjersti. Oppdaterte problemlånsmodeller. Norsk Regnesentral, Oslo. NR-notat SAMBA/13/20. pp 22. 2020.

    Neef, Linda Reiersølmoen; Aas, Kjersti. ALM-modell for Fremtind - Versjon 2: Brukermanual. Norsk Regnesentral, . NR-notat SAMBA/44/20. pp 106. 2020.

    Neef, Linda Reiersølmoen; Aas, Kjersti. ALM-modell for Fremtind - Versjon 2: Teknisk rapport for passivamodulen. Norsk Regnesentral, . NR-notat SAMBA/41/20. pp 63. 2020.

    Neef, Linda Reiersølmoen; Aas, Kjersti. Modell for Solvens II - Versjon XI: Teknisk rapport for passivamodul. Norsk Regnesentral, . NR-notat SAMBA/35/20. pp 282. 2020.

    Neef, Linda Reiersølmoen; Aas, Kjersti. Modell for Solvens II - Versjon XI: Estimeringsmodul. Norsk Regnesentral, . NR-notat SAMBA/37/20. pp 64. 2020.

    Steinbakk, Gunnhildur Högnadóttir; Langsrud, Øyvind; Løland, Anders. A brief overview of methods for synthetic data for official statistics. Norsk Regnesentral, . NR-notat SAMBA/23/20. pp 22. 2020.

    Trier, Øivind Due; Salberg, Arnt Børre. Kartlegging av naturinngrep. Sluttrapport. Norsk Regnesentral, Oslo. NR-notat SAMBA/10/2020. pp 233. 2020.

    Trier, Øivind Due. Kildekode for automatisert kartlegging. FKB maskinlæring. Norsk Regnesentral, Oslo. NR-notat SAMBA/28/20. pp 41. 2020.

    Trier, Øivind Due. Deteksjon av skogsveger. Kartlegging av naturinngrep – fase 2. Norsk Regnesentral, Oslo. NR-notat SAMBA/45/20. pp 43. 2020.

    Trier, Øivind Due. Automatisering av kartlegging. Status metodeutvikling, fase 1 i prosjektet. Norsk Regnesentral, Oslo. NR-notat SAMBA/09/20. pp 114. 2020.

    Wahl, Jens Christian; Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda; Ordonez, Alba; Trier, Øivind Due; Salberg, Arnt Børre; Haug, Ola. Stedsbasert risiko for vannskader - fase 1: Vurdering av topografiske indekser. Norsk Regnesentral, . NR-notat SAMBA/48/20. pp 34. 2020.

    Wahl, Jens Christian; Aanes, Fredrik L; Aas, Kjersti. Spatial modelling of risk premiums for water damage insurance. Norsk Regnesentral, . NR-notat SAMBA/33/20. pp 33. 2020.

    Popular scientific lectures

    2020

    Løland, Anders. Panelsamtale om regulatoriske sandkasser som verktøy for digitalisering. Regulatoriske sandkasser som verktøy for digitalisering; Tekna, Juristforbundet og Econa, Internett, 18.11.2020.

    Løland, Anders. Introduction to AI for businesses – text. Introduction to AI for businesses; StartupLab, Oslo, 24.06.2020.

    Rognebakke, Hanne Therese Wist; Redelmeier, Annabelle Alice; Engebretsen, Solveig. Introduksjon til R – verktøy for statistisk analyse og maskinlæring. Kurs; Norsk Regnesentral, Oslo, 29.01.2020.

    Feature articles

    2020

    Engebretsen, Solveig; Osnes, Andreas Nygård. Matematiske modeller under en pandemi. Tidsskrift for Den norske legeforening. 2020.

    Løland, Anders; Strümke, Inga. Algoritmer er mer enn bare data – de kan diskriminere og gjøre urett. Dagens næringsliv. pp 30. 18.06.2020.

    Løland, Anders. Vi må snakke om algoritmeimport. Forskning.no. 11.12.2020.

    Løland, Anders. Vi får nok ikke selvkjørende lastebiler riktig ennå. Dagens næringsliv. 07.05.2020.

    Popular scientific articles

    2020

    Frigessi Di Rattalma, Arnoldo; Köhn-Luque, Alvaro; Kristensen, Vessela N.; Gørbitz, Carl Henrik; Engebråten, Olav. Kan statistikk og matematikk redde like mange liv som nye medisiner? Aftenposten (morgenutg. : trykt utg.) (ISSN 0804-3116). 2020.

    Lison, Pierre; Falkum, Ingrid Lossius. Kan kunstig intelligens "forstå" språk? Aftenposten (morgenutg. : trykt utg.) (ISSN 0804-3116). 2020.

    Reader opinion pieces

    2020

    Løland, Anders. Takk for at vi får dele data – la oss få dele enda mer!. Bergens Tidende, 2020-04-03

    Løland, Anders. Blåøyd algoritmeoptimisme?. Dagens næringsliv, 2020-01-10 , pp. 35

    Løland, Anders. Dokumentarfilmen iHuman – forvirrende, men nyttig?. Digi.no, 2020-03-24

    Riegler, Michael; Lison, Pierre; Strümke, Inga; Løland, Anders. For enkelt om kunstig intelligens: – Diskriminerende og fordomsfull AI er ikke alltid lett å løse. Forskning.no, 2020-11-27

    Media contributions

    2020

    Aldrin, Magne Tommy; Løland, Anders. Solskjær kan hjelpe Liverpool til rekordtidlig tittel. 2020. tv2.no [Internet] 04.02.2020.

    Aldrin, Magne Tommy; Løland, Anders. Liverpools gullsjanser. 2020. TV 2 [TV] 03.02.2020.

    Engebretsen, Solveig. Koronajegeren. 2020. D2 [Newspaper] 08.05.2020.

    Engebretsen, Solveig. Jakter på koronasmitte i mobildata. 2020. UiO Det matematisk-naturvitenskapelige fakultet [Internet] 02.04.2020.

    Engebretsen, Solveig. Intervju TV 2 Nyhetskanalen. 2020. TV 2 Nyhetskanalen [TV] 29.06.2020.

    Engebretsen, Solveig. Smittetallet R: Slik regner Folkehelse­­instituttet ut hvordan korona­viruset sprer seg. 2020. Forskning.no [Internet] 25.05.2020.

    Engebretsen, Solveig. YRKESINTERVJU Statistiker. 2020. Utdanning.no [Internet] 02.04.2020.

    Engebretsen, Solveig. Årets ledestjerne? 2020. Tekna magasinet [Business/trade/industry journal] 21.05.2020.

    Engebretsen, Solveig; Engø-Monsen, Kenth. Intervju NRK. 2020. NRK [TV] 16.11.2020.

    Engebretsen, Solveig. Data on how Norwegians move around allow for a finetuned model of calculating the spread of coronavirus. 2020. sciencenorway.no [Internet] 27.05.2020.

    Engebretsen, Solveig. Adventspraten: Solveig Engebretsen regner ut R-tallet. 2020. Khrono [Internet] 11.12.2020.

    Frigessi, Arnoldo; Engebretsen, Solveig. Jakter viruset med mobildata. 2020. Morgenbladet [Newspaper] 13.03.2020.

    Goodwin, Håvard; Løland, Anders. Scenarioene i bunndramaet: Slik redder Start plassen. 2020. Fædrelandsvennen [Internet] 07.12.2020.

    Goodwin, Håvard; Løland, Anders. Matematikere har regnet ut sannsynligheten for Bryne-opprykk: Dette er konklusjonen. 2020. Jærbladet [Internet] 17.10.2020.

    Goodwin, Håvard; Løland, Anders. Så stor er sjansen for at Start overlever. 2020. Fædrelandsvennen [Internet] 06.12.2020.

    Jensen, Britt Bang; Aldrin, Magne Tommy. Termisk avlusing øker dødeligheten ni ganger. 2020. Intrafish.no [Internet] 10.06.2020.

    Løland, Anders; Goodwin, Håvard. Tallknusernes dom: Slik ender topp- og bunnkampen i Eliteserien. 2020. Eurosport [Internet] 09.12.2020.

    Løland, Anders; Goodwin, Håvard. Tallknusernes dom: Disse tar medalje og disse rykker ned. 2020. Aftenposten [Internet] 29.08.2020.

    Løland, Anders; Goodwin, Håvard. Tallknuserne har talt: – Snart kan du feire FFK-opprykket. 2020. Fredrikstad Blad [Internet] 16.10.2020.

    Løland, Anders; Goodwin, Håvard. Eksperten klør seg i hodet over nedrykksstriden: – Den kampen blir fullstendig avgjørende. 2020. Fædrelandsvennen [Internet] 31.10.2020.

    Løland, Anders. Forklarbar kunstig intelligens. 2020. NORDE (podkast) [Internet] 15.10.2020.

    Løland, Anders. Frykter politikerne ikke holder tritt med teknologisk utvikling. 2020. morgenbladet.no [Newspaper] 18.03.2020.

    Chapter

    2020

    Lund, Eiliv; Holden, Marit; Thalabard, Jean-Christophe; Busund, Lill-Tove Rasmussen; Snapkov, Igor; Holden, Lars. Signals of Death - Post-Diagnostic Single Gene Expression Trajectories in Breast Cancer - A Proof of Concept. 2020.

    Programme management

    2020

    Løland, Anders; Engebretsen, Solveig. Episode 1: Om kjendisen "R". Med Solveig Engebretsen, en av Norges 30 under 30. 2020.

    Løland, Anders; Engø-Monsen, Kenth. Episode 4: Telenor var klare da Corona dukket opp. Med Kenth Engø-Monsen. 2020.

    Løland, Anders; Frigessi Di Rattalma, Arnoldo. Episode 2: Om den essensielle usikkerheten. Med Arnoldo Frigessi. 2020.

    Løland, Anders; Frigessi Di Rattalma, Arnoldo. Episode 3: Hvorfor skal forskning være en del av beredskapen vår? Med Arnoldo Frigessi. 2020.

    Løland, Anders; Hellton, Kristoffer Herland. Episode 7: Presidentvalg spesial! Hvordan lages valgprognoser? Med gjest Kristoffer Herland Hellton. 2020.

    Løland, Anders; Lison, Pierre. Episode 5: Hva er språkteknologi (eller NLP)? Med Pierre Lison. 2020.

    Løland, Anders; Lison, Pierre; Falkum, Ingrid Lossius. Episode 6: Kan språkteknologi virkelig forstå språk? Med Ingrid Lossius Falkum og Pierre Lison. 2020.

    Løland, Anders. Episode 8: Hvorfor har vi kanskje verdens beste pantesystem? Gjest: Kjell Olav Maldum, Infinitum. 2020.

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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
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Phone: (+47) 22 85 25 00
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