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

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. Learning latent representations of bank customers with the Variational Autoencoder. Expert systems with applications (ISSN 0957-4174). doi: 10.1016/j.eswa.2020.114020. 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.

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.

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.

Fuglerud, Kristin Skeide; Schulz, Trenton Wade; Janson, Astri Letnes; Moen, Anne. Co-creating Persona Scenarios with Diverse Users Enriching Inclusive Design. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). doi: 10.1007/978-3-030-49282-3_4. 2020. Institutional archive 

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.

Hannay, Jo Erskine; Fuglerud, Kristin Skeide; Østvold, Bjarte M.. Stakeholder Journey Analysis for Innovation: A Multiparty Analysis Framework for Startups. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 12189 doi: https://doi.org/10.1007/978-3-030-49108-6_27. 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.

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.

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: 10.17713/ajs.v49i4.1124. 2020. Institutional archive 

Janson, Astri Letnes; Moen, Anne; Fuglerud, Kristin Skeide. Design of the capable health empowerment tool: Citizens' needs and expectations. Studies in Health Technology and Informatics (ISSN 0926-9630). 270 pp 926-930. doi: 10.3233/SHTI200297. 2020. Abstract 

Jullum, Martin; Løland, Anders; Huseby, Ragnar Bang; Ånonsen, Geir; Lorentzen, Johannes P. Detecting money laundering transactions with machine learning. Journal of Money Laundering Control (ISSN 1368-5201). 23(1) pp 173-186. doi: 10.1108/JMLC-07-2019-0055. 2020. Full-text 

Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian E.. Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling. Journal of the Royal Statistical Society, Series C: Applied Statistics (ISSN 0035-9254). 69(2) doi: 10.1111/rssc.12397. 2020.

Kalimeri, Kyriaki; Tjøstheim, Ingvar. Artificial Intelligence and Concerns About the Future: A Case Study in Norway. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). doi: 10.1007/978-3-030-50344-4_20. 2020.

Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Learning latent representations of bank customers with the Variational Autoencoder. Expert systems with applications (ISSN 0957-4174). doi: 10.1016/j.eswa.2020.114020. 2020.

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. Institutional archive 

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). 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 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). doi: 10.1016/j.jeconom.2020.01.019. 2020.

Rouwendal, Dashley Kevin; Stolpe, Audun; Hannay, Jo Erskine. Using Block-Based Programming and Sunburst Branching to Plan and Generate Crisis Training Simulations. Communications in Computer and Information Science (ISSN 1865-0929). 1226 doi: https://doi.org/10.1007/978-3-030-50732-9_60. 2020.

Rouwendal, Dashley Kevin; Hannay, Jo Erskine; Stolpe, Audun. Simulation Vignette Generation from Answer Set Specifications. Proceedings of the International Conference on Information Systems for Crisis Response and Management (ISSN 2411-3387). 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.

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. 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.

Tjøstheim, Ingvar; Waterworth, John A.. Virtual Tourism in a Game Environment: Untangling Judged Affordances and Sense of Place. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). doi: 10.1007/978-3-030-50164-8_14. 2020.

Tjøstheim, Ingvar; Waterworth, John A.. Inverting the Panopticon to Safeguard Privacy in Ambient Environments: An Exploratory Study. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). doi: 10.1007/978-3-030-50344-4_25. 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.

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.

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 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.

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

Scientific lectures

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.

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

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

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

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

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

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.

Doctoral dissertations

Tjøstheim, Ingvar. Experiencing sense of place in a virtual environment - real in a moment. Umeå, Sverige: Umeå Universitet Research reports in informatics (ISSN 1401-4572). (02). pp 223. 2020. Review 

Reports

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; 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.

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.

Sanchis, Charlotte Juliette; Hauge, Ragnar. Scaling of unknown distribution in PCube+ and Focused inversion. Norsk Regnesentral, . NR-notat SAND/09/20. pp 39. 2020.

Sanchis, Charlotte Juliette; Hauge, Ragnar. PCube+: Likelihood sensitivity analysis and the prediction of unknown distribution. Norsk Regnesentral, . NR-notat SAND/07/20. pp 33. 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.

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

Popular scientific lectures

Halbach, Till. Inkluderende arbeidsliv: Barrierer og muligheter for økt arbeidsinkludering av synshemmede. Kompetansenettverksmøte; Norges Blindeforbund, Virtuelt, 23.09.2020.

Haugstvedt, Vegard; Halbach, Till. Clothes4all.net: Nettstedet for å lære om tilgjengelighet. UnIKT-forum; BufDir, Zoom, 24.08.2020.

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

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

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. Intervju TV 2 Nyhetskanalen. 2020. TV 2 Nyhetskanalen [TV] 29.06.2020.

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

Engebretsen, Solveig. Data on how Norwegians move around allow for a finetuned model of calculating the spread of coronavirus. 2020. sciencenorway.no [Internet] 27.05.2020.

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

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

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

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

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.

Løland, Anders; Goodwin, Håvard. Tallknusernes dom: Disse tar medalje og disse rykker ned. 2020. Aftenposten [Internet] 29.08.2020.

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.