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Latest 100 publications

Latest 100 publications

    Academic anthologies


    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.

    Fuglerud, Kristin Skeide; Schulz, Trenton Wade; Janson, Astri Letnes; Moen, Anne (eds). Co-creating persona scenarios with diverse users enriching inclusive design. Springer. (ISBN 978-3-030-49282-3). pp 12. 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. 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). doi: 10.1016/j.eswa.2020.114020. 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.

    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). 12188 pp 48-59. doi: 10.1007/978-3-030-49282-3_4. 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 

    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.

    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). doi: 10.1002/qj.3932. 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.

    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; 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.

    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.

    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.

    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.

    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.

    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.

    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.

    Savola, Reijo; Kylänpää, Markku; Abie, Habtamu. Risk-driven security metrics for an Android smartphone application. International Journal of Electronic Business (ISSN 1470-6067). 15(4) pp 297-324. doi: 10.1504/IJEB.2020.111059. 2020.

    Schmidt, Alexandra M.; Guttorp, Peter. Flexible spatial covariance functions. Spatial Statistics (ISSN 2211-6753). 37 doi: 10.1016/j.spasta.2020.100416. 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.

    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.

    Wang, Ruijie; Chen, Liming Luke; Solheim, Ivar. Modeling Dyslexic Students’ Motivation for Enhanced Learning in E-learning Systems. ACM transactions on interactive intelligent systems (ISSN 2160-6455). 10(3) pp 1-34. doi: 10.1145/3341197. 2020.

    Academic literature reviews


    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). doi: 10.1007/s00228-020-02961-6. 2020.

    Academic chapters


    Eskeland, Sigurd. Privacy-preserving greater-than integer comparison without binary decomposition. In: SECRYPT 2020: Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - (Volume 3). (ISBN 978-989-758-446-6). pp 340-348. doi: 10.5220/0009822403400348. 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.

    Pilán, Ildikó; Brekke, Pål H.; 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. 2020.

    Academic lectures


    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.

    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.

    Engebretsen, Solveig. Spatial modelling of COVID-19 in Norway. Konferanse, NORBIS Annual conference, 03.11.2020 - 04.11.2020.

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

    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.

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

    Scientific lectures


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

    Frigessi Di Rattalma, Arnoldo. In silico modelling of breast tumours for personalised therapy. Arrangement, CanCell yearly meeting 2020; Oslo, 16.10.2020.

    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. 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.

    Fuglerud, Kristin Skeide. Universell utforming og velferdsteknologi. Gjesteforelesning, DATA2600 Assistive and welfare technologies; Online zoom, 21.10.2020 - 21.08.2021.

    Huseby, Ragnar Bang; Aldrin, Magne Tommy. Modell for spredning av virus innen og mellom oppdrettslokaliteter. Konferanse, Havbruk 2020, 09.06.2020 - 10.06.2020.

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

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

    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


    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.

    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 



    Aldrin, Magne Tommy; Huseby, Ragnar Bang. Scenariosimulering for effekt av bekjempelsesstrategier mot ILA. Norsk Regnesentral, . NR-notat SAMBA/30/20. pp 17. 2020.

    Engebretsen, Solveig; Aldrin, Magne Tommy. Lusebeitingsadferd hos rognkjeks. NR-notat SAMBA/40/20, . pp 10. 2020.

    Eskeland, Sigurd. D2.1.3 Privacy Awareness. RCN project IoTSec. Norsk Regnesentral, Oslo. NR-notat DART/01/20. pp 53. 2020.

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

    Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda; Wahl, Jens Christian; Haug, Ola; Matre, Andreas. Risikomodell for vannskader på bygninger og sensitivitet i klimaframskrivninger. Norsk Regnesentral, . NR-notat SAMBA/25/20. pp 91. 2020.

    Heinrich, Claudio Constantin; Wahl, Jens Christian; Thorarinsdottir, Thordis Linda; Haug, Ola. Risikomodell for vannskader på bygninger. Norsk Regnesentral, . NR-notat SAMBA/06/20. pp 75. 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. 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.

    Wahl, Jens Christian; Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda; 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.

    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.

    Løland, Anders. Panelsamtale om regulatoriske sandkasser som verktøy for digitalisering. Regulatoriske sandkasser som verktøy for digitalisering; Tekna, Juristforbundet og Econa, Internett, 18.11.2020.

    Popular scientific articles


    Lison, Pierre; Falkum, Ingrid Lossius. Kan kunstig intelligens "forstå" språk? Aftenposten (morgenutg. : trykt utg.) (ISSN 0804-3116). 2020.

    Reader opinion pieces


    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


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

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

    Engebretsen, Solveig. Intervju TV 2 Nyhetskanalen. 2020. TV 2 Nyhetskanalen [TV] 29.06.2020.

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

    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; Goodwin, Håvard. Eksperten klør seg i hodet over nedrykksstriden: – Den kampen blir fullstendig avgjørende. 2020. Fædrelandsvennen [Internet] 31.10.2020.

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

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

    Løland, Anders; Goodwin, Håvard. Tallknuserne har talt: – Snart kan du feire FFK-opprykket. 2020. Fredrikstad Blad [Internet] 16.10.2020.

    Programme management


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

    Løland, Anders; Hellton, Kristoffer Herland. Episode 7: Presidentvalg spesial! Hvordan lages valgprognoser? Med gjest Kristoffer Herland Hellton. 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; Engø-Monsen, Kenth. Episode 4: Telenor var klare da Corona dukket opp. Med Kenth Engø-Monsen. 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; Engebretsen, Solveig. Episode 1: Om kjendisen "R". Med Solveig Engebretsen, en av Norges 30 under 30. 2020.

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