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Latest 100 publications

Latest 100 publications

    Academic anthologies

    2020

    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

    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). 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.

    Guttorp, Peter; Nancy, Garcia; Guillerme, Ludwig. Interacting cluster point process model for epidermal nerve fibers. Spatial Statistics (ISSN 2211-6753). 35 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.

    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.

    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.

    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. doi: 10.35767/gscpgbull.67.4.217. 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. 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. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 11798 LNCS pp 29-37. doi: 10.1007/978-3-030-32875-7_4. 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.

    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.

    Book reviews

    2019

    Guttorp, Peter; Thorarinsdottir, Thordis Linda. Local Climate Projections: A Little Money Goes a Long Way. 2019.

    Academic chapters

    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.

    Academic lectures

    2020

    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.

    2019

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

    Engebretsen, Solveig. Using mobile phone data to study the spatio-temporal spread of influenza in Bangladesh. Konferanse, Det 20. norske statistikermøtet; Sola strandhotell, Stavanger, 19.06.2019.

    Engebretsen, Solveig. Modelling the spread of influenza by use of mobile phone mobility data. Seminar, BigInsight Day 2019; Folkehelseinstituttet, 14.11.2019.

    Guttorp, Peter. Beyond calculation: Teaching statistical thinking. Konferanse, IASE Satellite Conference; Kuala Lumpur, 13.08.2019 - 16.08.2019.

    Guttorp, Peter. Nonstationary modeling of storm surges. Konferanse, World Statistics Conference 2019; Kuala Lumpur, 18.08.2019 - 23.08.2019.

    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.

    Rudjord, Øystein; Solberg, Rune; Reksten, Jarle Hamar; Trier, Øivind Due. Monitoring lake ice cover with Sentinel-3. Konferanse, ESA Living Planet Symposium; Milano, 13.05.2019 - 17.05.2019.

    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; Trier, Øivind Due; Rudjord, Øystein. Remote sensing of snow properties with Sentinel-3. Konferanse, Nordic Remote Sensing Conference; Århus, 17.09.2019 - 19.09.2019.

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

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

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

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

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

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

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

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

    Løland, Anders; Hellton, Kristoffer Herland. Alt du kan lære om statistisk modellering og maskinlæring på en dag. Seminar, Kurs; Oslo, 30.01.2020.

    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

    Rudjord, Øystein; Solberg, Rune; Trier, Øivind Due; Hughes, Nick. Monitoring Thin Sea Ice Thickness with Sentinel-3. IGS International Symposium on Sea Ice at the Interface; Winnipeg, 19.08.2019 - 23.08.2019.

    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.

    Solberg, Rune; Trier, Øivind Due. Mapping snow surface hoar by optical remote sensing. International Symposium on Mitigative Measures against Snow Avalanches and Other Rapid Gravity Mass Flows; Siglufjörður, 03.04.2019 - 05.04.2019.

    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.

    Doctoral dissertations

    2019

    Engebretsen, Solveig. Contributions to network science in public health. : . 2019.

    Reports

    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 

    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.

    2019

    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, . 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. 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, . 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, . 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 12. 2019.

    Almendral Vazquez, Ariel; Aarnes, Ingrid; Abrahamsen, Petter. Application of NR’s Solutions to Geothermal Reservoir Characterization. Norsk Regnesentral, Oslo. 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; 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.

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

    Kjønsberg, Heidi. Linearity in rock physics for 4D seismic inversion. Norsk Regnesentral, . NR-notat SAND/10/19. 2019.

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

    Rudjord, Øystein; Reksten, Jarle Hamar; Solberg, Rune; Trier, Øivind Due; Melvold, Kjetil. Utvikling av operasjonell innsjøistjeneste hos NVE: Resultater fra prosjektfase 2. Norsk Regnesentral, . NR-notat SAMBA/45/19. pp 56. 2019.

    Rudjord, Øystein; Trier, Øivind Due; Solberg, Rune; Hughes, Nick. Sentinel4ThinIce Phase 2. Thin ice thickness retrieval with Sentinel-3. Norsk Regnesentral, . NR-notat SAMBA/53/19. pp 27. 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.

    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.

    Schneider, Philipp; Hamer, Paul David; Trier, Øivind Due; Solberg, Rune; Ramfjord, Hallvard; Brobakk, Trond Einar; Skogesal, Hogne. SEN4POL Phase-1: Final Scientific Report. Norsk institutt for luftforskning, Kjeller. pp 40. 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. Norwegian Computing Center, . pp 33. 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. CultSearcher user guide. Version 1.0. Norsk Regnesentral, Oslo. NR-notat SAMBA/13/19. pp 28. 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.

    Tvete, Ingunn Fride; Haug, Ola. Avvik i feie- og tilsynskontroller: utvalgsstørrelser. Norsk Regnesentral, Olso. NR-notat 3. 2019.

    Tvete, Ingunn Fride; Aanes, Sondre. Simulating a realistic fishery – within a 2015 and 2016 sale notes data framework. Norsk Regnesentral, Oslo. NR-notat 2. 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. NR-notat SAMBA/01/19. pp 29. 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.

    Articles in business, trade and industry journals

    2019

    Tjøstheim, Dag Bjarne. Discussion of Models as Approximations I & II. Statistical Science (ISSN 0883-4237). 34(4) pp 575-579. doi: 10.1214/19-STS725. 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

    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

    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.

    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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