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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) -
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, ... -
Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway
(Journal article; Peer reviewed, 2023)Identifying alternatives to acute hospital admission is a priority for many countries. Over 200 decentralised municipal acute units (MAUs) were established in Norway to divert low-acuity patients away from hospitals. MAUs ... -
A Contextually Supported Abnormality Detector for Maritime Trajectories
(Journal article; Peer reviewed, 2023)The analysis of maritime traffic patterns for safety and security purposes is increasing in importance and, hence, Vessel Traffic Service operators need efficient and contextualized tools for the detection of abnormal ... -
Discriminative multimodal learning via conditional priors in generative models
(Journal article; Peer reviewed, 2023)Deep generative models with latent variables have been used lately to learn joint representations and generative processes from multi-modal data, which depict an object from different viewpoints. These two learning mechanisms ... -
Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring
(Journal article; Peer reviewed, 2023)Constructing responses in task-oriented dialogue systems typically relies on information sources such the current dialogue state or external databases. This paper presents a novel approach to knowledge-grounded response ... -
E-privacy concerns: A facet theoretical approach
(Journal article; Peer reviewed, 2023) -
Yield predictions of timothy (Phleum pratense L.) in Norway under future climate scenarios
(Journal article; Peer reviewed, 2023)The perennial forage grass timothy (Phleum pratense L.) is the most important forage crop in Norway. Future changes in the climate will affect growing conditions and hence the yield output. We used data from the Norwegian ...