Blar i Publikasjoner fra Cristin på tittel
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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 ... -
Creating vignettes for a Robot-Supported Education Solution for Children with Autism Spectrum Disorder
(Chapter, 2022)As part of the work in developing a robotic toolkit to help children with ASD develop their social and communication skills, we have adapted a method for creating vignettes that has been fruitful in other studies. We present ... -
Cryptanalysis of a privacy-preserving authentication scheme based on private set intersection
(Journal article; Peer reviewed, 2024) -
CybAlliance WP2 Annual Mobility Report 2023
(Research report, 2023) -
CybAlliance WP2 Annual National and International Workshops Report 2023
(Research report, 2023) -
CybAlliance WP2 Annual Open Seminar Report 2023
(Research report, 2023) -
Dark Pattern: A Serious Game for Learning About the Dangers of Sharing Data
(Journal article; Peer reviewed, 2022)Dark patterns refer to tricks built into websites and apps to manipulate users into acting unintentionally and detrimentally. An important issue is how such patterns might affect behaviour when actors are manoeuvred towards ... -
Data assimilation and statistical post-processing for numerical air quality predictions
(NR-notat;, Research report, 2014)This is a joint report based on work by NILU and NR on the use of data assimilation and statistical post-processing tools to improve the air quality prediction in the context of the Bedre Byluft programme. The objective ... -
Deep generative models for reject inference in credit scoring
(Journal article; Peer reviewed, 2020)Credit scoring models based on accepted applications may be biased and their consequences can have a statistical and economic impact. Reject inference is the process of attempting to infer the creditworthiness status of ... -
Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data
(Journal article; Peer reviewed, 2023)Multi-frequency echosounder data can provide a broad understanding of the underwater environment in a non-invasive manner. The analysis of echosounder data is, hence, a topic of great importance for the marine ecosystem. ... -
DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images
(Journal article; Peer reviewed, 2022) -
Dense dilated convolutions merging network for land cover classification
(Journal article; Peer reviewed, 2020)Land cover classification of remote sensing images is a challenging task due to limited amounts of annotated data, highly imbalanced classes, frequent incorrect pixel-level annotations, and an inherent complexity in the ... -
Design of the capable health empowerment tool: Citizens' needs and expectations
(Peer reviewed; Journal article, 2020)It is important but difficult for citizens to gain a proper overview of their health-related information. The CAPABLE project aims to create a digital tool that enable citizens to actively utilize their clinical and personal ... -
Detecting significant retrospective patterns in state space fish stock assessment
(Journal article; Peer reviewed, 2023)Retrospective patterns are commonly investigated to validate fish stock assessment models. A widely applied measure for retrospective bias is Mohn’s ρ and corresponding retrospective plots. However, retrospective patterns ... -
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 ... -
Detection of forest roads in Sentinel-2 images using U-Net
(Journal article; Peer reviewed, 2022) -
The development of accessibility feedback mechanisms: Related research (TiTi Project, Deliverable L2.1.1)
(NR-notat;, Research report, 2022)