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Viser treff 161-180 av 291
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Adaptive Safety for Internet of Things in e-Health
(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
(Journal article, 2021) -
Efficient and simple prediction explanations with groupShapley: A practical perspective
(Peer reviewed; Journal article, 2021) -
Creating Personas with Disabilities
(Chapter, 2012)Personas can help raise awareness among stakeholders about users’ needs. While personas are made-up people, they are based on facts gathered from user research. Personas can also be used to raise awareness of universal ... -
EziSmart videreføring: Sosial kontakt for synshemmede eldre gjennom mestring av smarttelefon. Prosjektrapport
(Report at the Norwegian Computing Center;, Research report, 2019)Denne rapporten beskriver erfaringer fra EziSmart-prosjektet. Målet var å vurdere om EziSmart-løsningen kunne lette opplæring og bruk av smarttelefon for synshemmede eldre, og dermed stimulere til mer sosial kontakt og ... -
Full deltakelse for alle? Delrapport IKT
(Research report, 2006) -
Adaptive Security and Trust Management for Autonomous Messaging Systems
(Journal article, 2022)With society's increased dependence on information communication systems, the need for dependable, trustable, robust, and secure adaptive systems becomes ever more acute. Modern autonomic message-oriented middleware platforms ... -
Comparison of Contextual Importance and Utility with LIME and Shapley Values
(Journal article; Peer reviewed, 2021)Different explainable AI (XAI) methods are based on different notions of ‘ground truth’. In order to trust explanations of AI systems, the ground truth has to provide fidelity towards the actual behaviour of the AI system. ... -
EziSmart - verktøy for mestring og sosial samhandling mellomsynshemmede eldre, pårørende og andre.
(Report at the Norwegian Computing Center;, Research report, 2018) -
Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images
(Journal article; Peer reviewed, 2021)Capturing global contextual representations in remote sensing images by exploiting long-range pixel-pixel dependencies has been shown to improve segmentation performance. However, how to do this efficiently is an open ... -
Penalized angular regression for personalized predictions
(Journal article; Peer reviewed, 2022)Personalization is becoming an important aspect of many predictive applications. We introduce a penalized regression method which inherently implements personalization. Personalized angle (PAN) regression constructs ... -
Detection of cultural heritage in airborne laser scanning data using Faster R-CNN. Results on Norwegian data
(Chapter, 2021)A new processing chain for automated archaeological mapping from airborne lidar data is proposed. First, the lidar data was converted to a detailed digital terrain model (DTM), which was then converted to a local relief ... -
Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate
(Journal article; Peer reviewed, 2021)Climate change impact assessment related to floods, infrastructure networks, and water resource management applications requires realistic simulations of high-resolution gridded precipitation series under a future climate. ... -
Spatiotemporal variation in climatic conditions across ecosystems
(Journal article; Peer reviewed, 2021) -
Estimation of Thickness and Layering of Johansen and Cook Sandstones at the Potential Co2 Storage Site Aurora
(Chapter, 2021)We have estimated the reservoir sand thickness and internal layering in the Aurora area, a planned geological CO2 storage site in the northern North Sea. The results are obtained by stochastic Markov chain Monte Carlo ... -
Flexible Bayesian Nonlinear Model Configuration
(Journal article; Peer reviewed, 2021)Regression models are used in a wide range of applications providing a powerful scientific tool for researchers from different fields. Linear, or simple parametric, models are often not sufficient to describe complex ... -
A Benchmarking Dataset for Seasonal Weather Forecasts
(NR-notat;, Research report, 2022)