Academic anthologies

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

Aldrin, Magne Tommy; Tvete, Ingunn Fride; Aanes, Sondre; Subbey, Samuel. The specification of the data model part in the SAM model matters. Fisheries Research (ISSN 0165-7836). 229 doi: 10.1016/j.fishres.2020.105585. 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). 164 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.

Engebretsen, Solveig; Engø-Monsen, Kenth; Aleem, Mohammad Abdul; Gurley, Emily Suzanne; Frigessi Di Rattalma, Arnoldo; de Blasio, Birgitte Freiesleben. Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh. Journal of the Royal Society Interface (ISSN 1742-5689). 17(167) doi: 10.1098/rsif.2019.0809. 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. Institutional archive 

Fjeldbo, Christina Sæten; Hompland, Tord; Hillestad, Tiril; Aarnes, Eva-Katrine; Günther, Clara-Cecilie; Kristensen, Gunnar S Balle; Malinen, Eirik; Lyng, Heidi. Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity. EBioMedicine (ISSN 2352-3964). 57 doi: 10.1016/j.ebiom.2020.102841. 2020. Institutional archive 

Gautvik, Kaare M; Günther, Clara-Cecilie; Prijatelj, Vid; Medina-Gomez, Carolina; Shevroja, Enisa; Rad, Leila Heidary; Yazdani, Mazyar; Lindalen, Einar; Valland, Haldor; Gautvik, Vigdis Teig; 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). 35(6) pp 1065-1076. doi: 10.1002/jbmr.3974. 2020. Institutional archive 

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; Hellton, Kristoffer Herland; Lenkoski, Alex; Thorarinsdottir, Thordis Linda. Multivariate Postprocessing Methods for High-Dimensional Seasonal Weather Forecasts. Journal of the American Statistical Association (ISSN 0162-1459). doi: 10.1080/01621459.2020.1769634. 2020.

Heinrich, Claudio Constantin. On the number of bins in a rank histogram. Quarterly Journal of the Royal Meteorological Society (ISSN 0035-9009). 147(734) pp 544-556. 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). 56(1) pp 70-85. doi: 10.1080/00273171.2020.1736976. 2020. Institutional archive 

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 

Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian E.. Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 69(2) doi: 10.1111/rssc.12397. 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 

Jullum, Martin. Investigating mesh-based approximation methods for the normalization constant in the log Gaussian Cox process likelihood. Stat (ISSN 2049-1573). 9(1) doi: 10.1002/sta4.285. 2020.

Krüger, Fabian; Lerch, Sebastian; Thorarinsdottir, Thordis; Gneiting, Tilmann. Predictive Inference Based on Markov Chain Monte Carlo Output. International Statistical Review (ISSN 0306-7734). doi: 10.1111/insr.12405. 2020.

Lenkoski, Alex; Aanes, Fredrik Lohne. Sovereign risk indices and bayesian theory averaging. Econometrics (ISSN 2225-1146). 8(2) doi: 10.3390/econometrics8020022. 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). 58(9) pp 6309-6320. 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.

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.

Schmidt, Alexandra M.; Guttorp, Peter. Flexible spatial covariance functions. Spatial Statistics (ISSN 2211-6753). 37 doi: 10.1016/j.spasta.2020.100416. 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.

Sellereite, Nikolai; Jullum, Martin. shapr: An R-package for explaining machine learning models with dependence-aware Shapley values. Journal of Open Source Software (JOSS) (ISSN 2475-9066). 5(46) doi: 10.21105/joss.02027. 2020.

Thorarinsdottir, Thordis Linda; Sillmann, Jana; Haugen, Marion; Gissibl, Nadine; Sandstad, Marit. Evaluation of CMIP5 and CMIP6 simulations of historical surface air temperature extremes using proper evaluation methods. Environmental Research Letters (ISSN 1748-9326). 15(12) pp 124041. doi: 10.1088/1748-9326/abc778. 2020.

Academic literature reviews

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.

Lauvsnes, Anders Dahlen Forsmo; Langaas, Mette; Toussaint, Pieter Jelle; Gråwe, Rolf W.. Mobile Sensing in Substance Use Research: A Scoping Review. Telemedicine journal and e-health (ISSN 1530-5627). 26(10) doi: 10.1089/tmj.2019.0241. 2020.

Short communications

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.

Academic chapters

Haug, Ola. Aspects of Climate-Induced Risk in Property Insurance. In: Evaluating Climate Change Impacts. Chapman and Hall/CRC. (ISBN 9780815392378). pp 259-276. 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. doi: 10.18261/9788215041193-2020-06. 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.

Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt-Børre. Self-Constructing Graph Convolutional Networks for Semantic Labeling. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. (ISBN 9781728163741). doi: 10.1109/IGARSS39084.2020.9324719. 2020.

Lund, Eiliv; Holden, Marit; Thalabard, Jean-Christophe; Rasmussen Busund, Lill-Tove; Snapkov, Igor; Holden, Lars. Signals of Death - Post-Diagnostic Single Gene Expression Trajectories in Breast Cancer - A Proof of Concept. In: Advancing Systems Epidemiology in Cancer - Exploring Trajectories of Gene Expression. (ISBN 978-82-15-04119-3). pp 141-162. doi: 10.18261/9788215041193-2020-09. 2020.

Pilán, Ildikó; Brekke, Pål Haugar; 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. doi: 10.18653/v1/2020.clinicalnlp-1.9. 2020.

Redelmeier, Annabelle Alice; Jullum, Martin; Aas, Kjersti. Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees. In: Lecture Notes in Computer Science (LNCS). (ISBN 978-3-030-58805-2). pp 117-137. doi: 10.1007/978-3-030-57321-8_7. 2020.

Academic lectures

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.

Breivik, Olav Nikolai. Template Model Builder and fish stock assessment course. Annet, Course, International Council for the Exploration of the Sea, 12.10.2020 - 17.10.2020.

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

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

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

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.

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.

Hellton, Kristoffer Herland. Penalized angular regression for personalized predictions. Seminar, Seminar; Domus Medica, Universitetet i Oslo, 28.02.2020.

Hellton, Kristoffer Herland. Penalized angular regression for personalized predictions. Arrangement, Seminar Series in Statistics and Data Science; Universitetet i Oslo, 28.01.2020.

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.

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.

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

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

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

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

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

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

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

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

Eikvil, Line. Applying AI and ML to images. Seminar, Introduction to AI for businesses; Zoom, 24.06.2020.

Eikvil, Line. Teknologien bak ansiktsgjenkjenning. Seminar, Tekna, Frokostseminar om ansiktsgjenkjenning; Zoom, 27.10.2020.

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.

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.

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

Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Revhaug, Arthur. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Arrangement, Northern Lights Deep Learning Conference; Tromsø, 18.01.2020 - 20.01.2020.

Lison, Pierre. Ethical and social impacts of AI. Arrangement, AI@FAST; Digitalt, 08.12.2020.

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

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

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

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

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

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.

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

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

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.

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

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

Aldrin, Magne Tommy; Huseby, Ragnar Bang. The total preventive effect of a new lice treatment - based on scenario simulations. Norsk Regnesentral, . NR-notat SAMBA/29/20. pp 19. 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.

Eikvil, Line; Ordonez, Alba; Brautaset, Olav. Feasibility study: Non-verbal communication interpreter - Image-based methodological approaches. norsk regnesentral, . NR-notat SAMBA/03/20. pp 49. 2020.

Eikvil, Line; Waldeland, Anders U.; Barker, Daniel Martin L; Holden, Marit; Hauge, Ragnar; Salberg, Arnt Børre. Deep learning in seismic interpretations - Development and experiments 2020. Norsk Regnesentral, . NR-notat SAMBA/51/20. pp 26. 2020.

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

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

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

Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda; Schneider, Max; Guttorp, Peter. Validation of point process predictions with proper scoring rules. Norsk Regnesentral, . NR-notat SAMBA/17/20. pp 26. 2020.

Howell, Daniel; Nash, Richard David Marriott; Boenish, Robert; Breivik, Olav Nikolai; Bogstad, Bjarte; Chetyrkin, Anatoly; Cook, Robin M.; Dingsør, Gjert E.; Dobby, Helen; Fall, Johanna Jennifer Elisabeth; Jaworski, Andrzej; Johannesen, Edda; Kokkalis, Alexandros; Kovalev, Yuri A.; Miethe, Tanja; Nielsen, Anders; Perez-Rodriguez, Alfonso; Russkikh, Alexey A.; Schueller, Amy. Benchmark Workshop for Demersal Species (WKDEM). ICES Scientific Reports. 2:31. ICES, . pp 136. 2020. Full-text 

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: Estimeringsmodul. Norsk Regnesentral, . NR-notat SAMBA/37/20. pp 64. 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. 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. 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 1: Brukermanual. Norsk Regnesentral, Oslo. NR-notat SAMBA/01/20. pp 104. 2020.

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

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

Rognebakke, Hanne Therese Wist; Steinbakk, Gunnhildur Högnadóttir. June 2019 – May 2020: Validation of property value estimates - Housing cooperative shares. Norsk Regnesentral, . NR-notat SAMBA/21/20. pp 16. 2020.

Rognebakke, Hanne Therese Wist. July 2019 – July 2020: Validation of property value estimates - Second home market. Norsk Regnesentral, . NR-notat SAMBA/27/20. pp 21. 2020.

Rognebakke, Hanne Therese Wist. July 2019 – July 2020: Validation of property value estimates. Norsk Regnesentral, . NR-notat SAMBA/26/20. pp 33. 2020.

Rognebakke, Hanne Therese Wist. June 2019 – July 2020: Validation of property value estimates – Nordea. Norsk Regnesentral, . NR-notat SAMBA/31/20. pp 32. 2020.

Rognebakke, Hanne Therese Wist; Steinbakk, Gunnhildur Högnadóttir. June 2019 – May 2020: Validation of property value estimates - Houses. Norsk Regnesentral, . NR-notat SAMBA/22/20. pp 16. 2020.

Steinbakk, Gunnhildur Högnadóttir; Løland, Anders. Wind component in Smart and FairPrice. Norsk Regnesentral, . NR-notat SAMBA/08/20. pp 17. 2020.

Steinbakk, Gunnhildur Högnadóttir. Jan 2019 – Dec 2019: Validation of property value estimates, Nordea. Norsk Regnesentral, . NR-notat SAMBA/07/20. pp 32. 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.

Thorarinsdottir, Thordis Linda; Schuhen, Nina; Lenkoski, Alex. Trajectory adjustment of lagged seasonal forecast ensembles. Norsk Regnesentral, . NR-notat SAMBA/19/20. pp 13. 2020.

Tvete, Ingunn Fride; Binde, Caroline Ditlev; Klemp, Marianne. Parkinsons sykdom: tid til levodopa behandling. Norsk Regnesentral Oslo, . NR-notat SAMBA/02/20. pp 23. 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.

Wahl, Jens Christian; Heinrich, Claudio; Thorarinsdottir, Thordis; 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.

Popular scientific lectures

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. Introduksjon til R – verktøy for statistisk analyse og maskinlæring. Kurs; Norsk Regnesentral, Oslo, 01.12.2020 - 17.12.2020.

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

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

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

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.

Popular scientific articles

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

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

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

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

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

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.

Eikvil, Line. Google har utviklet kunstig intelligens som gjenkjenner brystkreft bedre enn radiologer - Kreftregisteret og Norsk Regnesentral lager norsk variant. 2020. Teknisk Ukeblad [Business/trade/industry journal] 06.01.2020.

Eikvil, Line. Norske forskere utvikler en ny metode for å finne brystkreft. 2020. forskning.no [Internet] 07.09.2020.

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

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.

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

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

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

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.

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

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.

Programme management

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