Academic journal articles

Zhao, Hao; Waldeland, Anders U.; Serrano, Dany Rueda; Tygel, Martin; Iversen, Einar. Time-migration velocity estimation using Fréchet derivatives based on nonlinear kinematic migration/demigration solvers. Studia Geophysica et Geodaetica (ISSN 0039-3169). 64 doi: 10.1007/s11200-019-1172-0. 2020.

Bai, Aleksander; Skjerve, Rannveig Alette; Halbach, Till; Fuglerud, Kristin Skeide. Evaluating accessibility testing in automated software build processes. NIK: Norsk Informatikkonferanse (ISSN 1892-0713). 2019.

Basse-O'Connor, Andreas; Heinrich, Claudio Constantin; Podolskij, Mark. On limit theory for functionals of stationary increments Lévy driven moving averages. Electronic Journal of Probability (ISSN 1083-6489). 24(79) pp 1-42. doi: 10.1214/19-EJP336. 2019.

Halbach, Till; Tjøstheim, Ingvar. Towards Reliable Accessibility Assessments of Science Center Exhibits. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 11746 LNCS pp 33-41. doi: 10.1007/978-3-030-29381-9_3. 2019.

Halbach, Till; Widerøe, Tom; Bai, Aleksander. Raising Awareness for Universal Design by Integrating Accessibility Testing into a Continuous-Deployment Process: A Large-Company Case Study. NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi (ISSN 1892-0748). 27(1) 2019.

Kourtellos, Andros; Lenkoski, Alex; Petrou, Kyriakos. Measuring the strength of the theories of government size. Empirical Economics (ISSN 0377-7332). pp 1-38. doi: 10.1007/s00181-019-01718-0. 2019.

Revhaug, Cecilie; Bik-Multanowski, Miroslaw; Zasada, Magdalena; Rognlien, Anne Gro Wesenberg; Günther, Clara-Cecilie; Ksiazek, Teofila; Madetko-Talowska, Anna; Szewczyk, Katarzyna; Grabowska, Agnieszka; Kwinta, Przemko; Pietrzyk, Jacek Jozef; Baumbusch, Lars Oliver; Saugstad, Ola Didrik. Immune System Regulation Affected by a Murine Experimental Model of Bronchopulmonary Dysplasia: Genomic and Epigenetic Findings. Neonatology (ISSN 1661-7800). 116 pp 269-277. doi: 10.1159/000501461. 2019.

Salvatore, Stefania; Rand, Knut Dagestad; Grytten, Ivar; Ferkingstad, Egil; Domanska, Diana; Holden, Lars; Gheorghe, Marius; Mathelier, Anthony; Glad, Ingrid; Sandve, Geir Kjetil. Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysis. Briefings in Bioinformatics (ISSN 1467-5463). pp 1-8. doi: 10.1093/bib/bbz083. 2019.

Trier, Øivind Due; Cowley, David C.; Waldeland, Anders Ueland. Using deep neural networks on airborne laser scanning data: results from a case study of semi-automatic mapping of archaeological topography on Arran, Scotland. Archaeological Prospection (ISSN 1075-2196). 26(2) pp 165-175. doi: 10.1002/arp.1731. 2019.

Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Analysis (ISSN 1361-8415). doi: 10.1016/j.media.2019.101619. 2019.

Academic chapters

Almendral Vazquez, Ariel. Thermochronological constraints on Cenozoic exhumation along the southern Caribbean: The Santa Marta range, northern Colombia. In: Andean Tectonics. (ISBN 978-0-12-816009-1). pp 103-132. doi: 10.1016/B978-0-12-816009-1.00007-1. 2019.

Almendral Vazquez, Ariel. Cenozoic Evolution of the Sierra Nevada de Santa Marta, Colombia. In: The geology of Colombia Volume 3. Servicio Geológico Colombiano. (ISBN 978-958-99528-6-3). pp 259-297. doi: https://doi.org/10.32685/pub.esp.37.2019.07. 2019.

Boudko, Svetlana; Leister, Wolfgang. Building Blocks of Negotiating Agents for Healthcare Data. In: iiWAS2019: The 21st International Conference on Information Integration and Web-based Applications & Services. (ISBN 978-1-4503-7179-7). pp 637-641. doi: 10.1145/3366030.3366108. 2019. Full-text 

Gilbert, Andrew David; Holden, Marit; Eikvil, Line; Aase, Svein Arne; Samset, Eigil; Mcleod, Kristin. Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach. In: Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis. (ISBN 978-3-030-32874-0). pp 29-37. 2019.

Hubin, Aliaksandr; Storvik, Geir Olve; Grini, Paul Eivind; Butenko, Melinka Alonso. Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data. In: Proceedings of Computer Data Analysis and Modeling: Stochastics and Data Science 2019. Belarusian State University Press. (ISBN 978-985-566-811-5). pp 167-171. doi: 123456789/233357. 2019.

Hubin, Aliaksandr. An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models. In: ACM International Conference Proceeding Series (ICPS): AIIPCC '19: Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing. (ISBN 978-1-4503-7633-4). pp 1-9. doi: 10.1145/3371425.3371641. 2019.

Jang, Youngsoo; Lee, Jongmin; Park, Jaeyoung; Lee, Kyeng-Hun; Lison, Pierre; Kee-Eung, Kim. PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), System Demonstrations. (ISBN 9781950737925). pp 187-192. doi: 10.18653/v1/D19-3032. 2019.

Schulz, Trenton Wade; Holthaus, Patrick; Amirabdollahian, Farshid; Koay, Kheng Lee; Tørresen, Jim; Herstad, Jo. Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task. In: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). (ISBN 978-1-7281-2622-7). doi: 10.1109/RO-MAN46459.2019.8956355. 2019.

Abstracts at scientific conferences

Janson, Astri Letnes; Moen, Anne; Fuglerud, Kristin Skeide. Design of the CAPABLE Prototype: Preliminary Results of Citizen Expectations. Linköping Electronic Conference Proceedings. 161 pp 181. 2019. Full-text 

Academic lectures

Heinrich, Claudio Constantin. Statistical post-processing of seasonal weather forecasts. Konferanse, 14th International Meeting on Statistical Climatology; Toulouse, 24.06.2019 - 28.06.2019.

Heinrich, Claudio Constantin. Forecast validation for earthquakes and other point processes. Seminar, UiO seminar series in Statistics and Data Science; Oslo, 29.10.2019.

Heinrich, Claudio Constantin. How to validate point process predictions or can tests for calibration be proper? Workshop, RexVerim 2019; Reading, 25.04.2019 - 26.04.2019.

Hubin, Aliaksandr; Storvik, Geir Olve. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Konferanse, Nordic Probabilistic AI School; Trondheim, 03.06.2019 - 07.06.2019.

Kolbjørnsen, Odd; Dahle, Pål; Bjerke, Morten D.; Bakke, Beate A.; Straith, Knut Richard. Using Deep Directional Resistivity for Model Selection and Uncertainty Reduction in the Edvard Grieg Depth Conversion. Konferanse, Petroleum Geostatistics 2019; Firenze, 02.09.2019 - 06.09.2019.

Storvik, Geir Olve; Hubin, Aliaksandr. Combining model and parameter uncertainty in Bayesian neural networks. Konferanse, CMStatistics 2019; London, 14.12.2019 - 16.12.2019.

Thorarinsdottir, Thordis Linda; Engeland, Kolbjørn; Kobierska, Florian. The effects of uncertainty on design flood estimation. Konferanse, EVA 2019, 01.07.2019 - 05.07.2019.

Trier, Øivind Due. Automated mapping of cultural heritage in Norway from airborne lidar data using faster-RCNN. Konferanse, Nordic Remote Sensing Conference; Århus, 17.09.2019 - 19.09.2019.

Trier, Øivind Due. Automated detection of grave mounds, deer hunting systems and charcoal burning platforms from airborne lidar data using faster-RCNN. Konferanse, Machine Learning in Archaeology Conference; Roma, 07.11.2019 - 08.11.2019.

Trier, Øivind Due. Detection of cultural heritage in airborne laser scanning data using Faster RCNN. Results on Norwegian data. Konferanse, International Conference on Cultural Heritage and New Technologies; Wien, 04.11.2019 - 06.11.2019.

Scientific lectures

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

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

Aas, Kjersti. Metodisk seminar kredittrisikomodellering. Seminar, Seminar; Stavanger, 12.11.2019.

Abie, Habtamu. The FINSEC (Integrated Framework for Predictive and Collaborative Security of Financial Infrastructures) Approach. Annet, IoTSec Consortium Meeting; Halden, 23.04.2019 - 24.04.2019.

Abrahamsen, Petter. Volume estimation, simulation and rejection sampling - Some rarely used COHIBA features. Workshop, COHIBA workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Abrahamsen, Petter. Compaction and Subsidence. Workshop, COHIBA workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Abrahamsen, Petter. Modelling Techniques. Konferanse, NPF 2019 Biennial Reservoir Characterization Conference; Sola, 03.12.2019 - 04.12.2019.

Abrahamsen, Petter. COHIBA - Consistent, robust, and accurate prediction of surfaces. Workshop, COHIBA workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Abrahamsen, Petter. A historic perspective on Bayesian surface modelling. Workshop, COHIBA workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Aker, Eyvind; Røe, Per; Hauge, Ragnar; Abrahamsen, Petter. PCube+ principles. Workshop, Workshop; Stavanger, 04.03.2019.

Aker, Eyvind; Røe, Per; Hauge, Ragnar; Abrahamsen, Petter. PCube+ principles. Workshop, Workshop; Oslo, 23.01.2019 - 24.01.2019.

Almendral Vazquez, Ariel; Abrahamsen, Petter; Dahle, Pål; Sektnan, Audun. A novel implementation of the LinVel model. Workshop, Cohiba workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Almendral Vazquez, Ariel; Abrahamsen, Petter; Dahle, Pål; Sektnan, Audun. Getting the most out of your deep directional resistivity data. Workshop, Cohiba workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Dahle, Pål; Abrahamsen, Petter; Almendral Vazquez, Ariel. Handling true vertical depth (TVD) uncertainty in wells. Workshop, COHIBA workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Dahle, Pål. Choosing depth-conversion models using cross validation of wells. Workshop, COHIBA workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Fjellvoll, Bjørn; Hauge, Ragnar; Almendral Vazquez, Ariel; Abrahamsen, Petter; Skauvold, Jacob. Applied Geostatistics and Geomodelling 2019. Annet, Kurs for Equinor; Stavanger, 08.09.2019 - 11.09.2019.

Hubin, Aliaksandr; Storvik, Geir Olve; Grini, Paul Eivind; Butenko, Melinka Alonso. Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data. Konferanse, CDAM 2019; Minsk, 18.09.2019 - 22.09.2019.

Hubin, Aliaksandr. An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models. Konferanse, AIIPCC '19; Sanya, 18.12.2019 - 21.12.2019.

Hubin, Aliaksandr; Storvik, Geir Olve. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Konferanse, CDAM 2019; Minsk, 18.09.2019 - 22.09.2019.

Hubin, Aliaksandr; Storvik, Geir Olve. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Konferanse, CRONOSMDA2019; Limassol, 14.04.2019 - 16.04.2109.

Løland, Anders. To historier: Dynamisk maskinlæringsprising av Airbnb-leiligheter + Hvordan kan vi forklare hva maskinlæringen legger vekt på? Konferanse, NAV-konferansen 2019; Sentralen, Oslo, 27.11.2019.

Røe, Per. Comparing the CRAVA, PCube and PCube+ inversion algorithms. Workshop, The Sharp Reflections GATHERing; Berlin, 24.10.2019 - 25.10.2019.

Sektnan, Audun. Getting the zonation right. A synthetic real-time case study. Workshop, COHIBA workshop 2019; Oslo, 05.11.2019 - 06.11.2019.

Steinbakk, Gunnhildur Högnadóttir; Aarsnes, Lars Holterud; Aldrin, Magne Tommy; Astrup, Ole Christian; Haug, Ola; Storhaug, Gaute; Vanem, Erik. Statistical approximation to synthetic mid-ship hull girder stress response. Konferanse, SNAME Maritime Convention (SMC) 2019; Tacoma, WA, 30.10.2019 - 02.11.2019.

Trier, Øivind Due. Klassifikasjon og deteksjon ved bruk av kunstig intelligens. Seminar, Geodesi- og hydrografidagene 2019; Sundvollen, Hole, Buskerud, 27.11.2019 - 28.11.2019.

Posters at scientific conferences

Heinrich, Claudio Constantin. STATISTICAL POSTPROCESSING OF SEASONAL WEATHER FORECASTS. 2019 Joint Statistical Meetings; Denver, 27.07.2019 - 01.08.2019.

Janson, Astri Letnes; Moen, Anne; Fuglerud, Kristin Skeide. Design of the CAPABLE Prototype: Preliminary Results of Citizen Expectations. Scandinavian Conference on Health Informatics; Oslo, 12.11.2019 - 13.11.2019.

Olsen, Karina Standahl; Holden, Marit; Talabard, Jean-Christophe; Busund, Lill-Tove Rasmussen; Lund, Eiliv; Holden, Lars. Post-diagnostic blood gene expression profiles in breast cancer - NOWAC Post-genome Cohort. NOFE conference; Oslo, 13.11.2019 - 14.11.2019.

Thorarinsdottir, Thordis Linda; Stefanakos, Christos; Vanem, Erik; Rognebakke, Hanne Therese Wist; Hammer, Hugo Lewi; Øigård, Tor Arne. HDwave: Statistical space-time projections of wave heights. 2nd International Workshop on Waves, Storm Surges and Coastal Hazards, 10.11.2019 - 15.11.2019.

Reports

Aas, Kjersti; Neef, Linda Reiersølmoen. Modell for Solvens II - Versjon X: Teknisk rapport for balansemodul. Norsk Regnesentral, . NR-notat SAMBA/36/19. pp 79. 2019.

Aas, Kjersti; Neef, Linda Reiersølmoen. ALM-modell for Fremtind - Versjon 1: Estimeringsmodulen. Norsk Regnesentral, . NR-notat SAMBA/34/19. pp 21. 2019.

Aas, Kjersti; Neef, Linda Reiersølmoen. Modell for Solvens II - Versjon X: Modul for prising av rentegaranti. Norsk Regnesentral, . NR-notat SAMBA/40/19. pp 51. 2019.

Aas, Kjersti; Neef, Linda Reiersølmoen. ALM-modell for Fremtind - Versjon 1: Teknisk rapport for balansemodulen. Norsk Regnesentral, . NR-notat SAMBA/33/19. pp 47. 2019.

Aas, Kjersti. Økonomisk scenariogenerator-alternativ metodikk. Norsk Regnesentral, . NR-notat SAMBA/47/19. pp 18. 2019.

Aas, Kjersti. DNB Total Risk Model Version 9: Technical report. Norsk Regnesentral, . NR-notat SAMBA/35/19. pp 71. 2019.

Aas, Kjersti; Neef, Linda Reiersølmoen. Totalrisikomodell for DNB Versjon 10: Brukermanual. Norsk Regnesentral, . NR-notat SAMBA/25/19. pp 62. 2019.

Aas, Kjersti. Vurdering av metoden for dobling av relative posisjoner som Halvor Hoddevik presenterte i Lagmannsretten. Norsk Regnesentral, . NR-notat SAMBA/43/19. pp 12. 2019.

Aker, Eyvind. Vertical Transverse Isotropy in PCube+. Norsk Regnesentral, Oslo. NR-notat SAND/12/19. pp 17. 2019.

Eikvil, Line; Holden, Marit. Deep learning for ultrasound images - next steps. Norsk Regnesentral, . NR-notat SAMBA/48/19. pp 55. 2019.

Hubin, Aliaksandr; Aas, Kjersti. FinAI: Scalable techniques to stock price time series modelling. Norsk Regnesentral, . NR-notat SAMBA/20/19. pp 30. 2019.

Løland, Anders; Aas, Kjersti. Differanseavkastning for DNB Norge og andre norske aksjefond – kommentarer og analyser. Norsk Regnesentral, . NR-notat SAMBA/05/19. pp 115. 2019.

Murray, Sean Meling; Eikvil, Line; Salberg, Arnt Børre. Automatic interpretation of otoliths with deep learning - explaining predictions. Norsk Regnesentral, . NR-notat 19. pp 33. 2019.

Neef, Linda Reiersølmoen; Günther, Clara-Cecilie; Haugen, Marion. Analyser av data fra enkeltmannsforetak som har levert Næringsrapport skatt. Norsk Regnesentral, Oslo. NR-notat SAMBA/41/19. pp 67. 2019.

Neef, Linda Reiersølmoen; Aas, Kjersti. Modell for Solvens II - Versjon X: Brukermanual. Norsk Regnesentral, . NR-notat SAMBA/38/19. pp 180. 2019.

Neef, Linda Reiersølmoen; Aas, Kjersti. Modell for Solvens II - Versjon X: Teknisk rapport for passivamodul. Norsk Regnesentral, . NR-notat SAMBA/37/19. pp 268. 2019.

Neef, Linda Reiersølmoen; Aas, Kjersti. ALM-modell for Fremtind - Versjon 1: Teknisk rapport for passivamodulen. Norsk Regnesentral, . NR-notat SAMBA/32/19. pp 63. 2019.

Neef, Linda Reiersølmoen; Aas, Kjersti. Modell for Solvens II - Versjon X: Estimeringsmodul. Norsk Regnesentral, . NR-notat SAMBA/39/19. pp 64. 2019.

Ordonez, Alba; Eikvil, Line; Salberg, Arnt Børre. Visualization of deep neural networks applied to fish age prediction. Norsk Regnesentral, Oslo. NR-notat SAMBA/42/19. pp 36. 2019.

Redelmeier, Annabelle Alice. Predicting the sentiments of Gjensidige insurance customers. Norsk Regnesentral, . NR-notat SAMBA/51/19. pp 22. 2019.

Sanchis, Charlotte Juliette; Nilsen, Carl-Inge Colombo; Barker, Daniel Martin L. Deep learning for seismic processing and condition monitoring. Norsk Regnesentral, . NR-notat SAND/05/2019. pp 13. 2019.

Sanchis, Charlotte Juliette; Røe, Per; Hauge, Ragnar. PCube+ and focused inversion testing. Norsk Regnesentral, . NR-notat SAND/07/2019. pp 52. 2019.

Trier, Øivind Due; Reksten, Jarle Hamar. Automated detection of cultural heritage in airborne lidar data. CultSearcher operationalisation. Norsk Regnesentral, Oslo. NR-notat SAMBA/50/19. pp 157. 2019.

Trier, Øivind Due. Sen4Pol Phase 1. NDVI-based method for daily birch pollen prediction from Sentinel-3. Norsk Regnesentral, Oslo. NR-notat SAMBA/44/19. pp 80. 2019.

Trier, Øivind Due; Salberg, Arnt Børre. Kartlegging av naturinngrep. Foreløpig rapport. Norsk Regnesentral, Oslo. NR-notat SAMBA/46/19. pp 27. 2019.

Trier, Øivind Due. CultSearcher user guide. Version 1.0. Norsk Regnesentral, Oslo. NR-notat SAMBA/13/19. pp 28. 2019.

Tvete, Ingunn Fride; Natvig, Bent; Gåsemyr, Jørund Inge; Klemp, Marianne; Binde, Caroline Ditlev. Sammenligning av medikamenter for behandling av Parkinson pasienter. Norsk Regensentral, Oslo. pp 29. 2019.

Wahl, Jens Christian; Sellereite, Nikolai; Aas, Kjersti. Predicting probability of default for SMEs using relational and transaction data. Norsk Regnesentral, . NR-notat SAMBA/07/19. pp 52. 2019.

Popular scientific lectures

Hubin, Aliaksandr; Storvik, Geir Olve. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Data Science Major Minsk; Open Data Science (ODS.AI), Minsk, 30.11.2019.

Hubin, Aliaksandr; Storvik, Geir Olve. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Big Insight Lunch; Big insight, UiO, NR, Oslo, 24.04.2019.

Løland, Anders. Kunstig intelligens og maskinlæring – hvordan bruker man data riktig? DN Fintech 2019; Dagens Næringsliv, Oslo, 13.11.2019.

Feature articles

Løland, Anders. «Det er algoritmens feil» – greit? Dagens næringsliv. pp 35. 13.12.2019.

Articles in business, trade and industry journals

Aker, Eyvind; Tveiten, Ole Gunnar; Wynn, Tim. Seismic pore pressure prediction at the Halten Terrace in the Norwegian Sea. Petroleum Geoscience (ISSN 1354-0793). doi: 10.1144/petgeo2019-053. 2019.

Popular scientific articles

Pilø, Lars Holger; Trier, Øivind Due; Salberg, Arnt Børre. Kunstig intelligens finner skjulte kulturminner. Aftenposten (morgenutg. : trykt utg.) (ISSN 0804-3116). pp 24-25. 17.12.2019.

Reader opinion pieces

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

Løland, Anders. Vil vi ha robotlate dommere?. Aftenposten (morgenutg. : trykt utg.), 2019-11-05 , pp. 27

Media contributions

Halbach, Till; Gjuvsland, Elin Ruhlin; Berg, Kristin. Data på jobben ble et hinder for blinde Kristin Berg. 2020. forskning.no [Internet] 17.01.2020.

Sellereite, Nikolai. Her er tallene som får Ranheim-sjefen til å smile. 2019. aftenposten.no [Internet] 25.10.2019.

Sellereite, Nikolai. Tallknusere: – 8,9 prosent sannsynlighet for at Sarpsborg 08 rykker direkte ned. 2019. https://www.f-b.no/ [Internet] 28.11.2019.

Sellereite, Nikolai. P1 ettermiddag fra NRK Innlandet 18.10.2019. 2019. radio.nrk.no [Radio] 18.10.2019.

Tjøstheim, Ingvar. Undersøkelse: 75% av nordmenn vil det skal bli vanskeligere å samle inn persondata. 2019. NRKbeta [Newspaper] 18.11.2019.

Tjøstheim, Ingvar. Forskerne gjorde et skjult eksperiment om Facebook. Svarene de fikk, er dårlig nytt for unge og menn. 2019. Aftenposten [Newspaper] 14.11.2019.

Tjøstheim, Ingvar. 1 av 4 lot Facebook få personlig informasjon. 2019. NRK nyhetsmorgen [Radio] 14.10.2019.