Blar i Publikasjoner fra Cristin på tittel
Viser treff 12-31 av 143
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A Bayesian Binomial Regression Model with Latent Gaussian Processes for Modelling DNA Methylation
(Peer reviewed; Journal article, 2020)Epigenetic observations are represented by the total number of reads from a given pool of cells and the number of methylated reads, making it reasonable to model this data by a binomial distribution. There are numerous ... -
Bayesian seismic inversion for stratigraphic horizon, lithology, and fluid prediction
(Peer reviewed; Journal article, 2020)We have developed an efficient methodology for Bayesian prediction of lithology and pore fluid, and layer-bounding horizons, in which we include and use spatial geologic prior knowledge such as vertical ordering of ... -
Behavioural response of farmed Atlantic salmon (Salmo salar L.) to artificial underwater lights: Wavelet analysis of acoustic telemetry data
(Journal article; Peer reviewed, 2021) -
A Benchmarking Dataset for Seasonal Weather Forecasts
(NR-notat;, Research report, 2022) -
The blood transcriptome prior to ovarian cancer diagnosis: A case-control study in the NOWAC postgenome cohort
(Journal article; Peer reviewed, 2021) -
Bone mineral density through history: Dual-energy X-ray absorptiometry in archaeological populations of Norway.
(Journal article; Peer reviewed, 2021) -
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. ... -
Categories of User Impairment
(Chapter, 2021) -
Caveats with estimating natural mortality rates in stock assessment models using age aggregated catch data and abundance indices
(Journal article; Peer reviewed, 2021) -
Co-creating Persona Scenarios with Diverse Users Enriching Inclusive Design
(Peer reviewed; Journal article, 2020-07-10)In this article, we will examine personas as methodological approach and review some critiques about how its use may omit or stereotype users with disabilities or even restrict user involvement. We review previous persona ... -
Coffee forensics — Reconstructing data in IoT devices running Contiki OS
(Journal article; Peer reviewed, 2021)The ability to examine evidence and reconstruct files from novel IoT operating systems, such as Contiki with its Coffee File System, is becoming vital in digital forensic investigations. Two main challenges for an investigator ... -
A combined estimate of global temperature
(NR-notat;, Research report, 2021) -
Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity
(Peer reviewed; Journal article, 2020) -
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. ... -
Cost-benefit analysis of universal design
(Report at the Norwegian Computing Center, Research report, 2015) -
Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things
(Journal article; Peer reviewed, 2022) -
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 ... -
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 ... -
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 ...