NR vitenarkiv: Recent submissions
Now showing items 1-20 of 279
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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 ... -
Novel and Efficient Privacy-Preserving Continuous Authentication
(Journal article; Peer reviewed, 2024)Continuous authentication enhances security by re-verifying a user’s validity during the active session. It utilizes data about users’ behavioral actions and contextual information to authenticate them continuously. Such ... -
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
(Journal article; Peer reviewed, 2023)Self-supervised learning is a central component in recent approaches to deep multi-view clustering (MVC). However, we find large variations in the development of self-supervision-based methods for deep MVC, potentially ... -
A new framework for semi-Markovian parametric multi-state models with interval censoring
(Journal article; Peer reviewed, 2023)There are few computational and methodological tools available for the analysis of general multi-state models with interval censoring. Here, we propose a general framework for parametric inference with interval censored ... -
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings
(Journal article; Peer reviewed, 2023)Distance-based classification is frequently used in transductive few-shot learning (FSL). However, due to the high-dimensionality of image representations, FSL classifiers are prone to suffer from the hubness problem, where ... -
Estimated effectiveness of treatments against salmon lice in marine salmonid farming
(Journal article; Peer reviewed, 2023)We here estimate the effectiveness of ten types of salmon lice treatments currently used in the salmonid industry by analysing daily and cage-wise data from 90 full production cycles from farms spread along the Norwegian ... -
A two-stage mammography classification model using explainable-AI for ROI detection
(Journal article; Peer reviewed, 2023)This study introduces an enhanced version of a two-stage modelling approach using artificial intelligence (AI) for breast cancer detection in mammography screening. Leveraging a large dataset of 2,863,175 mammograms from ... -
Flexible and consistent Flood–Duration–Frequency modeling: A Bayesian approach
(Journal article; Peer reviewed, 2023)Design flood values give estimates of flood magnitude within a given return period and are essential to making adaptive decisions around land use planning, infrastructure design, and disaster mitigation. Many hydrologic ... -
Assessing uncertainty in hydrological projections arising from local-scale internal variability of climate
(Journal article; Peer reviewed, 2023)Hydrological impact assessments are increasingly performed at fine spatial and temporal resolutions in order to resolve local-scale changes under a future climate. Apart from the uncertainty represented by different climate ... -
Sampling-Free Bayesian Inference for Local Refinement in Linear Inversion Problems with a Latent Target Property
(Journal article; Peer reviewed, 2023)We present a sampling-free probabilistic inversion of latent target property based on the principles of expectation propagation where we estimate the joint distribution of the target variable in a local region. The prior ... -
Probabilistic rainy season onset prediction over the Greater Horn of Africa based on long-range multi-model ensemble forecasts
(Peer reviewed; Journal article, 2024)This works proposes a probabilistic framework for rainy season onset forecasts over Greater Horn of Africa derived from bias-corrected, long range, multi-model ensemble precipitation forecasts. A careful analysis of the ... -
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
(Chapter, 2023)Knowledge graphs have shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. In this work, we present a new method for constructing a vulnerability knowledge graph from information ... -
Universally Designed Augmented Reality (AR) for the School of the Future
(Chapter, 2023)Augmented Reality (AR), together with other technologies collectively referred to as eXtended Reality (XR), can offer opportunities in education for experiential learning and the visualization of abstract concepts. However, ... -
Sleep cycle-dependent vascular dynamics in male mice and the predicted effects on perivascular cerebrospinal fluid flow and solute transport
(Journal article; Peer reviewed, 2023)Perivascular spaces are important highways for fluid and solute transport in the brain enabling efficient waste clearance during sleep. However, the underlying mechanisms augmenting perivascular flow in sleep are unknown. ... -
Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021
(Journal article; Peer reviewed, 2023)Background Given the societal, economic and health costs of COVID-19 non-pharmaceutical interventions (NPI), it is important to assess their effects. Human mobility serves as a surrogate measure for human contacts and ... -
The Multi-Color Contrast Checker (M3C)
(Chapter, 2023)Accessible and readable contrast of text and graphical elements is a key requirement of the universal design of digital interfaces for people with and without disabilities. Many manual and automatic tools have been developed ... -
CybAlliance WP2 Annual National and International Workshops Report 2023
(Research report, 2023) -
CybAlliance WP2 Annual Mobility Report 2023
(Research report, 2023) -
CybAlliance WP2 Annual Open Seminar Report 2023
(Research report, 2023)