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Publications by department

Publications by department

Avdeling: SAMBA
Periode: 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

    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 

    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. Institutional archive 

    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.

    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 

    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.

    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.

    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.

    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.

    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.

    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

    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.

    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 212-218. doi: 10.1109/CVPRW50498.2020.00032. 2020.

    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. 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.

    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.

    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.

    Waldeland, Anders Ueland; Salberg, Arnt-Børre; Trier, Øivind Due; Vollrath, Andreas. Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. (ISBN 9781728163741). doi: 10.1109/IGARSS39084.2020.9323815. 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; 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.

    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.

    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; 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.

    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.

    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. 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. SCG-Net for Semantic Labeling. Konferanse, IGARSS 2020; Virtual Symposium, 26.09.2020 - 02.10.2020.

    Melvold, Kjetil; Rudjord, Øystein; Solberg, Rune. Utvikling av operasjonell Snøtjeneste og Innsjøistjeneste hos NVE. Arrangement, Ny Copernicus-periode, Infodag; webinar, 22.10.2020.

    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.

    Solberg, Rune; Trier, Øivind Due; Rudjord, Øystein. Remote Sensing of Snow Properties with Sentinel-3 versus MODIS. Workshop, 9th EARSeL workshop on Land Ice and Snow; Bern, 03.02.2020 - 05.02.2020.

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

    Trier, Øivind Due; Salberg, Arnt-Børre. Deteksjon av veier i Sentinel-2 med U-Net. Fjernmåling av endringer i inngrepsfri natur. Arrangement, Fjernmålingsseminaret: presentasjon av Mdir 2020-prosjektene; Trondheim, 08.12.2020.

    Trier, Øivind Due; Salberg, Arnt-Børre. Deteksjon av veier med Sentinel. Fjernmåling endringer i inngrepsfri natur. Arrangement, Møte i faggruppe satellittdata; Hønefoss, 07.09.2020.

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

    Scientific lectures

    2020

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

    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. 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.

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

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

    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.

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

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

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

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

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

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

    Salberg, Arnt-Børre. Maskinlæring og jordobservasjon. Arrangement, Teknologisk rammeverk - fagmøte i regi av rammeverksgruppa om Kunstig Intelligens (KI); Digitalt, 04.09.2020.

    Solberg, Rune. Flomtjenesten. Seminar, Ny Copernicus-periode, Infodag.; Oslo, 22.10.2020.

    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; 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. Modell for Solvens II - Versjon XI: Teknisk rapport for balansemodul. Norsk Regnesentral, . NR-notat SAMBA/34/20. pp 78. 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. ALM-modell for Fremtind – Versjon 2: Estimeringsmodulen. Norsk Regnesentral, Oslo. NR-notat SAMBA/43/20. pp 71. 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.

    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.

    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.

    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, . pp 26. 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.

    Kreiner, Matilde Brandt; Pedersen, Leif Toudal; Solberg, Rune; Trier, Øivind Due; Reksten, Jarle Hamar; Rudjord, Øystein; Gustavsson, David. Dataset and data policy. AI4Arctic Deliverable 3. Norsk Regnesentral, Oslo. NR-notat SAMBA/32/20. pp 44. 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.

    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.

    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.

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

    Neef, Linda Reiersølmoen; Aas, Kjersti. Modell for Solvens II - Versjon XI: Estimeringsmodul. Norsk Regnesentral, . NR-notat SAMBA/37/20. pp 64. 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 - Housing cooperative shares. Norsk Regnesentral, . NR-notat SAMBA/21/20. pp 16. 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.

    Rudjord, Øystein; Trier, Øivind Due; Solberg, Rune; Hughes, Nick. Sentinel4ThinIce Phase 2 WP8: Diagnosis and correction of possible underestimated ice thickness. Sentinel4ThinIce project report 2020. Norsk Regnesentral, . NR-notat SAMBA/15/20. pp 24. 2020.

    Salberg, Arnt Børre; Waldeland, Anders U.; Solberg, Rune; Malmgren-Hansen, David; Pedersen, Leif Toudal; Kreiner, Matilde Brandt. Software package: AI4Arctic Deliverable 4. Norsk Regnesentral, Oslo. NR-notat SAMBA/47/20. pp 26. 2020.

    Solberg, Rune; Salberg, Arnt Børre; Waldeland, Anders U.; Kreiner, Matilde Brandt; Pedersen, Leif Toudal; Malmgren-Hansen, David; Korosov, Anton; Gustafsson, David. Mid-term report. AI4Arctic Deliverable 5. Norsk Regnesentral, Oslo. NR-notat SAMBA/39/20. pp 38. 2020.

    Solberg, Rune; Waldeland, Anders U.; Salberg, Arnt Børre; Kreiner, Matilde Brandt; Pedersen, Leif Toudal; Malmgren-Hansen, David. Problem statement and methodologies. AI4Arctic Deliverable 1. Norsk Regnesentral, Oslo. NR-notat SAMBA/18/20. pp 46. 2020.

    Solberg, Rune; Salberg, Arnt Børre; Reksten, Jarle Hamar; Rasmussen, Gunnar; Kaljord, Andreas Hay; Jacobsen, Joakim. Design and development toward a global flood monitoring product. GlobFlom report. Norsk Regnesentral, Oslo. NR-notat SAMBA/49/20. pp 68. 2020.

    Solberg, Rune; Rudjord, Øystein; Reksten, Jarle Hamar; Trier, Øivind Due. Multi-sensor multi-temporal FSC 2017-2020 dataset. S4S multi-FSC prototype products to EDI, Version 2.0. Norsk Regnesentral, Oslo. NR-notat SAMBA/24/20. pp 30. 2020.

    Solberg, Rune. Project management plan. AI4Arctic Deliverable 0. Norsk Regnesentral, Oslo. NR-notat SAMBA/14/2020. pp 20. 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.

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

    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.

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

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

    Tvete, Ingunn Fride; Binde, Caroline Ditlev; Klemp, Marianne. Parkinsons sykdom: tid til levodopa behandling. Norsk Regnesentral Oslo, . 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.

    Waldeland, Anders U.; Reksten, Jarle Hamar; Salberg, Arnt Børre; Solberg, Rune; Pedersen, Leif Toudal; Malmgren-Hansen, David; Kreiner, Matilde Brandt. ICT requirements and API. AI4Arctic Deliverable 2. Norsk Regnesentral, . NR-notat SAMBA/20/20. pp 24. 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. 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

    2020

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

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

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

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

    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

    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.

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

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

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

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

    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. Så stor er sjansen for at Start overlever. 2020. Fædrelandsvennen [Internet] 06.12.2020.

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

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

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

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

    Programme management

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

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

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

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

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

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

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

    Errata

    2020

    Næsset, Erik; McRoberts, Ronald E.; Pekkarinen, Anssi; Saatchi, Sassan; Santoro, Maurizio; Trier, Øivind Due; Zahabu, Eliakimu; Gobakken, Terje. Corrigendum to ‘Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania’ [Int J Appl Earth Obs Geoinformation 89 (2020) 102109]. 2020.

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