• Generating customer's credit behavior with deep generative models 

  Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert (Journal article; Peer reviewed, 2022)

  Innovation is considered essential for today's organizations to survive and thrive. Researchers have also stressed the importance of leadership as a driver of followers' innovative work behavior (FIB). Yet, despite a large ...

• COASTAL HABITAT MAPPING WITH UAV MULTI-SENSOR DATA: AN EXPERIMENT AMONG DCNN-BASED APPROACHES 

  Liu, Yi; Liu, Qinghui; Sample, James Edward; Hancke, Kasper; Salberg, Arnt Børre (Journal article; Peer reviewed, 2022)

  With recent abundant availability of high resolution multi-sensor UAV data and rapid development of deep learning models, efficient automatic mapping using deep neural network is becoming a common approach. However, with ...

• Handlingsrom for et universelt utformet samfunn. Prosjektrapport 

  Dietz, Jan L. G.; Fuglerud, Kristin Skeide; Solheim, Ivar (Report at the Norwegian Computing Center;, Research report, 2016)

  Denne rapporten sammenfatter resultatene fra prosjektet “Handlingsrom for et universelt utformet samfunn”. Prosjektet, som er et av tiltakene i regjeringens nye handlingsplan for universell utforming, er blitt gjennomført ...

• The Link between Inclusive Design and Innovation: Some Key Elements 

  Fuglerud, Kristin Skeide; Sloan, David (Chapter, 2013)

  It is often said that universal design and similar approaches can be a source of innovation. In this paper key elements in inclusive design are identified, and examples of innovations related to inclusive design are ...

• Synshemmedes IKT-barrierer. Resultater fra undersøkelse om IKT-bruk blant synshemmede 

  Fuglerud, Kristin Skeide; Solheim, Ivar (Research report, 2008)

• Utvikling av intensiv opptrening av språklige ferdigheter for elever med autismespekterforstyrrelse ved hjelp av sosiale roboter: Populærvitenskapelig rapport fra forprosjekt 

  Fuglerud, Kristin Skeide; Eiklid, Hege; Søfting, Bente (Research report, 2018)

• Quantifying means-end reasoning in simulation-based training: a logical approach 

  Stolpe, Audun; Hannay, Jo Erskine (Journal article; Peer reviewed, 2022)

• Cost-benefit analysis of universal design 

  Fuglerud, Kristin Skeide; Halbach, Till; Tjøstheim, Ingvar (Report at the Norwegian Computing Center, Research report, 2015)

• Stroke unit demand in Norway – present and future estimates 

  Dahl, Fredrik Andreas; Barra, Mathias; Faiz, Kashif Waqar; Ihle-Hansen, Hege; Næss, Halvor; Rand, Kim; Rønning, Ole Morten; Simonsen, Tone Breines; Thommessen, Bente; Labberton, Angela Susan (Journal article; Peer reviewed, 2022)

• Detection of forest roads in Sentinel-2 images using U-Net 

  Trier, Øivind Due; Salberg, Arnt Børre; Larsen, Ragnvald; Nyvoll, Ole Torbjørn (Journal article; Peer reviewed, 2022)

• Digitale helsetjenester for alle – hva må til? 

  Fuglerud, Kristin Skeide; Kjæret, Kristin (Lecture, 2022)

• Inkluderende arbeidsliv: synshemmedes arbeidsdeltakelse og IKT 

  Fuglerud, Kristin Skeide (Lecture, 2022)

  Presentasjon av resultater fra toårig prosjekt med tilskudd fra BUFDIR: Tiltak for å bedre levekårene og livskvaliteten til personer med funksjonsnedsettelser 2020

• "Kanskje du kunne bli maler?" – Fem personer med nedsatt syn forteller om sine erfaringer som arbeidssøkere og arbeidstakere 

  Halbach, Till; Fyhn, Tonje; Fuglerud, Kristin Skeide; Kjæret, Kristin; Olsen, Terje André (Report at the Norwegian Computing Center, Research report, 2022)

  I denne studien har vi samlet erfaringer som fem personer med synsnedsettelse (svaksynte og blinde) har gjort som arbeidssøkere og senere arbeidstakere. I tillegg er representanter fra deres arbeidsgivere intervjuet. Målet ...

• Synshemmede i arbeidslivet: Et arbeidsgiverperspektiv 

  Fyhn, Tonje; Halbach, Till; Fuglerud, Kristin Skeide; Kjæret, Kristin; Olsen, Terje André (NORCE - Norwegian Research Centre AS;, Research report, 2022)

• The GDPR and Unstructured Data: Is Anonymisation Possible? 

  Weitzenboeck, Emily Mary; Lison, Pierre; Cyndecka, Malgorzata Agnieszka; Langford, Malcolm (Journal article; Peer reviewed, 2022)

  Much of the legal and technical literature on data anonymization has focused on structured data such as tables. However, unstructured data such as text documents or images are far more common, and the legal requirements ...

• Modeling dyslexic students' motivation for enhanced learning in E-learning systems 

  Wang, Ruijie; Chen, Liming Luke; Solheim, Ivar (Journal article; Peer reviewed, 2020)

  E-Learning systems can support real-time monitoring of learners’ learning desires and effects, thus offering opportunities for enhanced personalized learning. Recognition of the determinants of dyslexic users’ motivation ...

• Risk-driven security metrics for an Android smartphone application 

  Savola, Reijo; Kylänpää, Markku; Abie, Habtamu (Journal article; Peer reviewed, 2020)

  Security management in Android smartphone platforms is a challenge. This challenge can be overcome at least partially by developing systematically risk-driven security objectives and controls for the target system, and ...

• The use of social robots for supporting language training of children 

  Fuglerud, Kristin Skeide; Solheim, Ivar (Peer reviewed; Journal article, 2018)

  A number of studies have found that robots can contribute to engagement and motivation in educational settings. We wanted to explore the possibilities and challenges of using a social robot as an assistive tool for learning ...

• Adaptive Safety for Internet of Things in e-Health 

  Trcek, Denis; Abie, Habtamu; Skomedal, Åsmund (Journal article, 2022)

  Wireless pervasive computing devices are rapidly penetrating our environments, where e-Health is among the most critical ones. In the e-Health environment it is not only important to address security and privacy issues ...

• groupShapley: Efficient prediction explanation with Shapley values for feature groups 

  Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti (Journal article, 2021)

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