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Latest 100 publications

Latest 100 publications

    Academic anthologies


    Fournaris, A; Athanatos, M; Lampropoulos, K; Ioannidis, Sotiris; Hatzivasilis, George; Damiani, Ernesto; Abie, Habtamu; Ranise, S; Verderame, L; Siena, A; García-Alfaro, Joaquín (eds). ESORICS 2019 International Workshops, IOSec, MSTEC, and FINSEC. Springer. (ISBN 978-3-030-42051-2). pp 277. 2020.

    Academic journal articles


    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). doi: 10.1093/icesjms/fsz235. 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.

    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.

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

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

    Hubin, Aliaksandr; Storvik, Geir Olve; Grini, Paul Eivind; Butenko, Melinka Alonso. A Bayesian Binomial Regression Model with Latent Gaussian Processes for Modelling DNA Methylation. Austrian Journal of Statistics (ISSN 1026-597X). 49(4) pp 46-56. doi: https://doi.org/10.17713/ajs.v49i4.1124. 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 

    Kolbjørnsen, Odd; Buland, Arild; Hauge, Ragnar; Røe, Per; Ndingwan, Abel Onana; Aker, Eyvind. Bayesian seismic inversion for stratigraphic horizon, lithology, and fluid prediction. Geophysics (ISSN 0016-8033). 85(3) pp R207. doi: 10.1190/geo2019-0170.1. 2020.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Dense Dilated Convolutions Merging Network for Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). doi: 10.1109/TGRS.2020.2976658. 2020.

    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(1) pp 1-16. doi: 10.1016/j.jag.2020.102109. 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.

    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.

    Schulz, Trenton Wade; Halbach, Till; Solheim, Ivar. Using Social Robots to Teach Language Skills to Immigrant Children in an Oslo City District. ACM/IEEE International Conference on Human-Robot Interaction (HRI) (ISSN 2167-2121). doi: 10.1145/3371382.3378257. 2020.

    Tjøstheim, Ingvar; Waterworth, John A.. Predicting Personal Susceptibility to Phishing. Advances in Intelligent Systems and Computing (ISSN 2194-5357). 1137 pp 564-575. doi: 10.1007/978-3-030-40690-5_54. 2020.

    Academic chapters


    Abie, Habtamu; Boudko, Svetlana; Soceanu, Omri; Greenberg, Lev; Shribman, Aidan; Gallego-Nicasio, Beatriz; Cambiaso, Enrico; Vaccari, Ivan; Aiello, Maurizio. Adaptive and Intelligent Data Collection and Analytics for Securing Critical Financial Infrastructure. In: Cyber-Physical Threat Intelligence for Critical Infrastructures Security: A Guide to Integrated Cyber-Physical Protection of Modern Critical Infrastructures. (ISBN 978-1-68083-687-5). pp 104-142. doi: 10.1561/9781680836875.ch7. 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.

    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.

    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.

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

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


    Brautaset, Olav. Automatic fish identification from multi-frequency acoustic data using deep learning. Konferanse, ICES Annual Science Conference 2019, 09.09.2019.

    Schuhen, Nina; Thorarinsdottir, Thordis Linda; Lenkoski, Alex. Rapid Adjustment of Forecast Trajectories: improving short-term forecast skill through statistical post-processing. Konferanse, European Geosciences Union General Assembly; Wien, 07.04.2019 - 12.04.2019.

    Schuhen, Nina; Thorarinsdottir, Thordis Linda; Lenkoski, Alex. Rapid adjustment of weather forecast trajectories. Seminar, Big Insight Lunch Meeting; Norsk Regnesentral, 08.05.2019.

    Skauvold, Jacob; Eidsvik, Jo. Parametric Covariance Estimation in Ensemble-based Data Assimilation. Konferanse, Petroleum Geostatistics 2019; Firenze, 02.09.2019 - 06.09.2019.

    Solberg, Rune; Salberg, Arnt Børre. Landslide detection and mapping by remote sensing. Konferanse, International Symposium on Mitigative Measures against Snow Avalanches and Other Rapid Gravity Mass Flows, 3-5 April 2019,; Siglufjörður, 03.04.2019 - 05.04.2019.

    Thorarinsdottir, Thordis Linda. Statistics in climate research: The importance of stochastic modelling and uncertainty quantification. Seminar, University of Goettingen, Statistics Seminar, 21.02.2019.

    Thorarinsdottir, Thordis Linda. On developing general and efficient inference algorithms for complicated hierarchical models. Konferanse, World Statistics Congress, 21.08.2019.

    Thorarinsdottir, Thordis Linda. Decision support for climate change adaptation: The importance of uncertainty assessment. Konferanse, RSS 2019, 04.09.2019.

    Scientific lectures


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

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

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

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

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

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

    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. 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. 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.


    Hubin, Aliaksandr. Using node embedding to obtain information from network based transactions data in a bank. Seminar, BIG INSIGHT DAY 2019; Oslo, 14.11.2019.

    Østvold, Bjarte M.. Data-drevet autentisering for mobile tjenester. Konferanse, Sikkerhetsfestivalen 2019; Lillehammer, 26.08.2019 - 28.08.2019.

    Posters at scientific conferences


    Salberg, Arnt Børre; Waldeland, Anders U.. Deep learning based value chain for Sentinel-2 land cover mapping. ESA Living Planet Symphosium, 13.05.2019 - 17.05.2019.



    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.

    Fuglerud, Kristin Skeide; Kjæret, Kristin; Tunold, Siv. iStøtet – IT-støtte for synshemmede eldre. Norsk Regnesentral, Oslo. Report at the Norwegian Computing Center 1048. (ISBN 978-82-539-0558-7) pp 40. 2020. Full-text 

    Goodwin, Håvard; Lilleborge, Marie; Abrahamsen, Petter. Decision Nodes - Uncertainty propagation in decision trees. Norsk Regnesentral, . NR-notat SAND/06/20. pp 50. 2020.

    Halbach, Till; Tunold, Siv; Tjøstheim, Ingvar. Teknologiens ambivalens for arbeidstakere med nedsatt syn. Norsk Regnesentral, Oslo. (ISBN 978-82-539-0559-4) pp 23. 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.

    Røe, Per; Hauge, Ragnar; Aker, Eyvind; Barker, Daniel Martin L; Nilsen, Carl-Inge Colombo; Sanchis, Charlotte Juliette; Kjønsberg, Heidi; Abrahamsen, Petter; Nesvold, Erik. GIG annual meeting 2020 Summary of 2019 and planned work for 2020. Norsk Regnesentral, Oslo. NR-notat SAND/01/2020. pp 31. 2020.

    Røe, Per; Aker, Eyvind; Barker, Daniel Martin L; Hauge, Ragnar; Kjønsberg, Heidi; Nesvold, Erik; Nilsen, Carl-Inge Colombo; Rummelhoff, Ivar; Sanchis, Charlotte Juliette. PCube+ User Manual Version 8.0. Norsk Regnesentral, Oslo. NR-notat SAND/04/2020. pp 82. 2020.

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


    Aanes, Fredrik L; Aanes, Sondre; Breivik, Olav Nikolai. Exploratory data analysis of the Winter Survey in the Barents Sea 1994-2018. Norsk Regnesentral, . NR-notat SAMBA/14/19. pp 92. 2019.

    Aarnes, Ingrid; Almendral Vazquez, Ariel; Dahle, Pål. COHIBA in fault blocks on Valhall. Norsk Regnesentral, Oslo. NR-notat SAND/09/19. pp 51. 2019.

    Abrahamsen, Petter. Kriging Derivatives. Norsk Regnesentral, . NR-notat SAND/11/2019. pp 30. 2019. Full-text 

    Abrahamsen, Petter; Dahle, Pål; Kvernelv, Vegard Berg; Sektnan, Audun; Almendral Vazquez, Ariel; Aarnes, Ingrid. COHIBA User Manual Version 6.0. Norsk Regnesentral, Oslo. NR-notat SAND/06/2019. pp 235. 2019.

    Aldrin, Magne Tommy; Huseby, Ragnar Bang. Re-estimering av populasjonsmodell for lakselus 2019 - Delrapport for prosjekt FHF:901414 "Enhetlig proaktiv lusestrategi Rogaland". Norsk Regnesentral, . NR-notat SAMBA/28/19. pp 26. 2019.

    Aldrin, Magne Tommy; Huseby, Ragnar Bang. Strategier for bekjempelse av lakselus - en vurdering basert på scenariosimulering for Rogaland -Delrapport for prosjekt FHF:901414 "Enhetlig proaktiv lusestrategi Rogaland". Norsk Regnesentral, . NR-notat SAMBA/29/2019. pp 26. 2019.

    Aldrin, Magne Tommy; Tvete, Ingunn Fride. Estimating lice rates in fish pens: comments to the underlying statistical model. Norsk Regnesentral, Oslo. NR-notat SAMBA/12/2019. 2019.

    Almendral Vazquez, Ariel; Aarnes, Ingrid; Abrahamsen, Petter. Application of NR’s Solutions to Geothermal Reservoir Characterization. Norsk Regnesentral, Oslo. NR-notat SAND/13/2019. pp 13. 2019.

    Dahle, Pål; Aarnes, Ingrid; Abrahamsen, Petter; Almendral Vazquez, Ariel; Sektnan, Audun. Increasing subsurface accuracy with COHIBA by taking advantage of resistivity contrasts. Norsk Regnesentral, Oslo. NR-notat SAND/04/2019. pp 12. 2019.

    Eikvil, Line; Waldeland, Anders U.; Holden, Marit; Salberg, Arnt Børre; Hauge, Ragnar; Barker, Daniel Martin L. Deep learning in seismic interpretation. Norsk Regnesentral, . NR-notat SAMBA/49/19. pp 39. 2019.

    Eikvil, Line; Holden, Marit; Hauge, Ragnar; Kvernelv, Vegard Berg. Estimation of rock cuttings size from images. Norsk Regnesentral, Oslo. NR-notat SAND/02/2019. pp 43. 2019.

    Løland, Anders; Günther, Clara-Cecilie. Beregning av innsamlingsgrad for 2018. Norsk Regnesentral, . NR-notat SAMBA/06/19. pp 50. 2019.

    Nevjen, Fredrik. PCube+ Consistent Posterior Investigation. Norsk Regnesentral, Oslo, Norge. NR-notat SAND/08/2019. pp 22. 2019.

    Planque, Benjamin; Harbitz, Alf; Øigård, Tor Arne. Statistical catch-at-age model for Sebastes mentella in ICES area I and II. Norsk Regnesentral, . NR-notat SAMBA/08/19. pp 37. 2019.

    Reksten, Jarle Hamar; Salberg, Arnt Børre; Solberg, Rune. System for deteksjon og kartlegging av flom basert på SAR. Norsk Regnesentral, . NR-notat SAMBA/11/19. pp 20. 2019.

    Salberg, Arnt Børre; Luojus, Kari; Derksen, Chris; Marin, Carlo; Solberg, Rune; Schwaizer, Gabriele; Nagler, Thomas. ESA CCI+ Snow ECV: End-to-End ECV Uncertainty Budget, verson 1.0. European Space Agency, . pp 26. 2019.

    Salberg, Arnt Børre; Reksten, Jarle Hamar; Solberg, Rune. Algorithms for flood detection and mapping by SAR. Algorithm Theoretical Basis Document, Flood Service System at NVE. Norsk Regnesentral, . NR-notat SAMBA/10/19. pp 24. 2019.

    Sektnan, Audun; Almendral Vazquez, Ariel; Dahle, Pål. Correlating intervals that share common reference surface. Norsk Regnesentral, Oslo. NR-notat SAND/03/2019. pp 13. 2019.

    Skuland, Kristoffer; Heinrich, Claudio Constantin; Lenkoski, Alex; Thorarinsdottir, Thordis Linda. Stratospheric events and long-range Scandinavian winter surface temperature forecasts. Norsk Regnesentral, . NR-notat SAMBA/21/19. pp 33. 2019.

    Solberg, Rune; Salberg, Arnt Børre; Reksten, Jarle Hamar; Kristensen, Søren Elkjær; Orthe, Nils Kristian; Sund, Monica. Utvikling av operasjonell flomtjeneste ved NVE. Resultater fra prosjektfase 3. Norsk Regnesentral, Oslo. NR-notat SAMBA/09/2019. pp 42. 2019.

    Solberg, Rune; Reksten, Jarle Hamar; Trier, Øivind Due; Melvold, Kjetil; Orthe, Nils Kristian. Utvikling av operasjonell snøtjeneste ved NVE. Resultater fra prosjektfase 2. Norsk Regnesentral, Oslo. NR-notat SAMBA/52/2019. pp 50. 2019.

    Tvete, Ingunn Fride; Haug, Ola. Avvik i feie- og tilsynskontroller: utvalgsstørrelser. Norsk Regnesentral, Olso. NR-notat SAMBA/03/2019. 2019.

    Tvete, Ingunn Fride; Aanes, Sondre. Simulating a realistic fishery – within a 2015 and 2016 sale notes data framework. Norsk Regnesentral, Oslo. NR-notat SAMBA/02/2019. pp 28. 2019.

    Popular scientific lectures


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

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

    Feature articles


    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.

    Reader opinion pieces


    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

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

    Søreide, Øystein; Olsen, Dag Rune; Lind, Guro Elisabeth; Holden, Lars. Ingen forskning, ingen omstilling. Dagens næringsliv, 2020-05-23

    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.

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

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

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

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

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

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

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

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

    Naper, Anja; Halbach, Till. Undersøkelse: Manglende tilrettelegging gjør at blinde slutter i jobben. 2020. Velferd.no [Internet] 04.02.2020.

    Tjomsland, Roy Helge; Halbach, Till; Grymyr, Tonje. Robotstøttet opplæring (ROS). 2020. Facebook [Internet] 27.02.2020.

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