Blar i Publikasjoner fra Cristin på tittel
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Reproducible Data Management and Analysis using R
(Chapter, 2020)Standardizing and documenting computational analyses is necessary to ensure reproducible results. We describe an R-based implementation of data management and preprocessing that is well integrated with the analysis tools ... -
Risikomodell for vannskader på bygninger og sensitivitet i klimaframskrivninger
(;SAMBA/, Research report, 2020) -
Risk-driven security metrics for an Android smartphone application
(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 ... -
Robot-Enhanced Language Learning for Children in Norwegian Day-Care Centers
(Journal article; Peer reviewed, 2021) -
Scalable change and anomaly detection in cross-correlated data
(Doctoral thesis, 2021) -
Security in Android smartphone, Confidentiality in IoT-enabled Smart Grids, and Fault-tolerant privacy-preserving in AMS
(NR-notat;, Research report, 2020)The report summarizes the three journal papers which address security in android smartphone, confidentiality in IoT-enabled smart grids, and fault-tolerant privacy-preserving in AMS, respectively. -
Security, Privacy, and Usability in Continuous Authentication: A Survey
(Journal article; Peer reviewed, 2021) -
Self-Constructing Graph Convolutional Networks for Semantic Labeling
(Chapter, 2020)Graph Neural Networks (GNNs) have received increasing attention in many fields. However, due to the lack of prior graphs, their use for semantic labeling has been limited. Here, we propose a novel architecture called the ... -
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 ... -
Semi-supervised target classification in multi-frequency echosounder data
(Journal article; Peer reviewed, 2021)Acoustic target classification in multi-frequency echosounder data is a major interest for the marine ecosystem and fishery management since it can potentially estimate the abundance or biomass of the species. A key problem ... -
shapr: An R-package for explaining machine learning models with dependence-aware Shapley values
(Journal article; Peer reviewed, 2020) -
Signals of Death - Post-Diagnostic Single Gene Expression Trajectories in Breast Cancer - A Proof of Concept
(Chapter, 2020)Using the time-dependent dynamics of gene expression from immune cells in blood, we aimed to explore single gene expression trajectories as biomarkers for death after a diagnosis of breast cancer introducing a new statistical ... -
Situated Abilities within Universal Design – A Theoretical Exploration
(Peer reviewed; Journal article, 2020)This paper investigates Universal Design (UD) through the idea of designing for situated abilities, rather than focusing on designing for disabled users. This shift in perspective from disabilities to abilities is explored ... -
Situated Abilities within Universal Design – A Theoretical Exploration
(Peer reviewed; Journal article, 2020)This paper investigates Universal Design (UD) through the idea of designing for situated abilities, rather than focusing on designing for disabled users. This shift in perspective from disabilities to abilities is explored ... -
skweak: Weak Supervision Made Easy for NLP
(Chapter, 2021)We present skweak, a versatile, Python-based software toolkit enabling NLP developers to apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging machine learning paradigm based on a simple idea: ... -
Social Contact for Older People with Visual Impairment Through Mastery of Smartphones: Barriers and Suggested Solutions
(Chapter, 2021)Older people with visual impairment are more prone to feeling lonely than their seeing peers. Research suggests that learning to use smartphones can improve psychological well-being in older adults. We seek to further ... -
Spatial scaling of population synchrony in marine fish depends on their life history
(Journal article; Peer reviewed, 2019)The synchrony of population dynamics in space has important implications for ecological processes, for example affecting the spread of diseases, spatial distributions and risk of extinction. Here, we studied the relationship ... -
Spatial trend analysis of gridded temperature data at varying spatial scales
(Peer reviewed; Journal article, 2020) -
Spatiotemporal variation in climatic conditions across ecosystems
(Journal article; Peer reviewed, 2021) -
Spatiotemporal variation in climatic conditions across ecosystems
(Journal article; Peer reviewed, 2021)