Browsing NR vitenarkiv by Document Types "Journal article"
Now showing items 81-100 of 180
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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 ... -
Impaired astrocytic Ca2+ signaling in awake-behaving Alzheimer’s disease transgenic mice
(Journal article; Peer reviewed, 2022) -
Increased transmissibility of the alpha SARS-CoV-2 variant: evidence from contact tracing data in Oslo, January to February 2021
(Journal article; Peer reviewed, 2021) -
The Kernelized Taylor Diagram
(Journal article; Peer reviewed, 2022)This paper presents the kernelized Taylor diagram, a graphical framework for visualizing similarities between data populations. The kernelized Taylor diagram builds on the widely used Taylor diagram, which is used to ... -
Learning latent representations of bank customers with the Variational Autoencoder
(Journal article; Peer reviewed, 2020)Learning data representations that reflect the customers’ creditworthiness can improve marketing campaigns, customer relationship management, data and process management or the credit risk assessment in retail banks. In ... -
Lenking og kobling i Historisk befolkningsregister
(Peer reviewed; Journal article, 2020)Historisk befolkningsregister, HBR, er et register over den norske befolkningen fra 1801 frem til Det sentrale folkeregisteret fra 1964. Det lages ved å lenke sammen personforekomster av samme person i folketellinger og ... -
A logic based event controller for means-end reasoning in simulation environments
(Journal article, 2023)Simulation games are designed to cultivate expertise and rehearse particular skill sets. In order to yield longitudinal effects, sequences of events must be crafted to yield intended learning outcomes, sometimes by focusing ... -
A mammography classification model trained from image labels only
(Journal article; Peer reviewed, 2022) -
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data
(Journal article; Peer reviewed, 2024)We introduce MCCE: Monte Carlo sampling of valid and realistic Counterfactual Explanations for tabular data, a novel counterfactual explanation method that generates on-manifold, actionable and valid counterfactuals by ... -
Mixing up contrastive learning: Self-supervised representation learning for time series
(Journal article; Peer reviewed, 2022) -
Mixing up contrastive learning: Self-supervised representation learning for time series
(Journal article; Peer reviewed, 2022) -
Mobile Sensing in Substance Use Research: A Scoping Review
(Peer reviewed; Journal article, 2020) -
Modeling dyslexic students' motivation for enhanced learning in E-learning systems
(Journal article; Peer reviewed, 2020)E-Learning systems can support real-time monitoring of learners’ learning desires and effects, thus offering opportunities for enhanced personalized learning. Recognition of the determinants of dyslexic users’ motivation ... -
Movement acts in breakdown situations: How a robot's recovery procedure affects participants' opinions
(Journal article; Peer reviewed, 2021)Recovery procedures are targeted at correcting issues encountered by robots. What are people’s opinions of a robot during these recovery procedures? During an experiment that examined how a mobile robot moved, the robot ... -
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 ... -
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 ... -
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 adaptive delegation and sequencing of actions
(Journal article; Peer reviewed, 2021) -
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 ... -
On the number of bins in a rank histogram
(Journal article; Peer reviewed, 2020)