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Latest 100 publications

Latest 100 publications

    Academic journal articles

    2020

    Gautvik, Kaare M; Günther, Clara-Cecilie; Prijatelj, Vid; Medina-Gomez, Carolina; Shevroja, Enisa; Leila, Heidary Rad; Yazdani, Mazyar; Lindalen, Einar; Valland, Haldor; Gautvik, Vigdis T; Olstad, Ole Kristoffer; Holden, Marit; Rivadeneira, Fernando; Utheim, Tor Paaske; Reppe, Sjur. Distinct subsets of non-coding 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). 2020.

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

    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(1) pp 26-75. doi: 10.1007/s11200-019-1172-0. 2020.

    2019

    Aarnes, Ingrid; van der Vegt, Helena; Hauge, Ragnar; Fjellvoll, Bjørn; Nordahl, Kjetil. Utilizing sedimentary process-based models as training images for multipoint facies simulations. Bulletin of Canadian petroleum geology (ISSN 0007-4802). 67(4) pp 217-230. 2019.

    Aas, Kjersti; Rognebakke, Hanne Therese Wist. The evolution of a mobile payment solution network. Network Science (ISSN 2050-1242). 7(3) pp 422-437. doi: 10.1017/nws.2019.5. 2019.

    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.

    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. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 11798 LNCS pp 29-37. doi: 10.1007/978-3-030-32875-7_4. 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 Kristine; 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.

    Schuhen, Nina; Thorarinsdottir, Thordis Linda; Lenkoski, Alex. Rapid adjustment and post-processing of temperature forecast trajectories. Quarterly Journal of the Royal Meteorological Society (ISSN 0035-9009). doi: 10.1002/qj.3718. 2019.

    Steinbakk, Gunnhildur Högnadóttir; Aarsnes, Lars Holterud; Aldrin, Magne Tommy; Astrup, Ole Christian; Haug, Ola; Storhaug, Gaute; Vanem, Erik. Statistical Approximation to Synthetic Midship Hull Girder Stress Response. Journal of Ship Research (ISSN 0022-4502). doi: 10.5957/JOSR.02190008. 2019.

    Stray, Viktoria; Bai, Aleksander; Sverdrup, Nikolai Johan Sand; Mork, Heidi Camilla. Empowering Agile Project Members with Accessibility Testing Tools: A Case Study. Lecture Notes in Business Information Processing (ISSN 1865-1348). 355 pp 86-101. doi: 10.1007/978-3-030-19034-7_6. 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.

    Yuan, Qifen; Thorarinsdottir, Thordis Linda; Beldring, Stein; Wong, Wai Kwok; Huang, Shaochun; Xu, Chong-Yu. New approach for bias correction and stochastic downscaling of future projections for daily mean temperatures to a high-resolution grid. Journal of Applied Meteorology and Climatology (ISSN 1558-8424). 58(12) pp 2617-2632. doi: 10.1175/JAMC-D-19-0086.1. 2019.

    Academic literature reviews

    2019

    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. 2019.

    Academic chapters

    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 

    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.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Proceedings. (ISBN 978-1-5386-9154-0). pp 5041-5044. doi: 10.1109/IGARSS.2019.8900082. 2019.

    Patino, Ana Maria; Parra, Mauricio; Ramirez, Juan Carlos; Sobel, Edward R.; Glodny, Johannes; Almendral Vazquez, Ariel; Echeverri, Sebastian. 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.

    Abstracts at scientific conferences

    2019

    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

    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.

    Jullum, Martin; Aas, Kjersti; Løland, Anders. Opening the black box -- individual prediction explanation. Konferanse, Big Insight Day 2020; Oslo, 14.11.2019.

    Pirrone, Angelo; Böhm, Gisela; Tjøstheim, Ingvar. Decision making styles, demographic factors and phishing: results from a large-scale investigation. Konferanse, Annual Meeting of the Society for Risk Analysis-Europe; Potsdam, 24.06.2019 - 26.06.2019.

    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 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. 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. 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

    2020

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

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

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

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

    Halbach, Till; Tjøstheim, Ingvar. Kartlegging av installasjoners universell utforming på vitensentre & museer. Seminar, UnIKT-forum; Oslo, 05.02.2020.

    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.

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

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

    2019

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

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

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

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

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

    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.

    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.

    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. 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, CRONOSMDA2019; Limassol, 14.04.2019 - 16.04.2109.

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

    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.

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

    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

    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

    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. Totalrisikomodell for DNB Versjon 10: Brukermanual. Norsk Regnesentral, . NR-notat SAMBA/25/19. pp 62. 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. Vurdering av metoden for dobling av relative posisjoner som Halvor Hoddevik presenterte i Lagmannsretten. Norsk Regnesentral, . NR-notat SAMBA/43/19. pp 12. 2019.

    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. Økonomisk scenariogenerator-alternativ metodikk. Norsk Regnesentral, . NR-notat SAMBA/47/19. pp 18. 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. DNB Total Risk Model Version 9: Technical report. Norsk Regnesentral, . NR-notat SAMBA/35/19. pp 71. 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; 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.

    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; 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.

    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. CultSearcher user guide. Version 1.0. Norsk Regnesentral, Oslo. NR-notat SAMBA/13/19. pp 28. 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; 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.

    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

    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.

    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.

    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.

    Feature articles

    2019

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

    Articles in business, trade and industry journals

    2019

    Tjøstheim, Dag Bjarne. Invited discussion of two papers on "Models as approximations", by A. Buja et al. Statistical Science (ISSN 0883-4237). 2019.

    Popular scientific articles

    2019

    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

    2020

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

    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.

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

    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.

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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
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