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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 ... -
Motvirkning av ensomhet gjennom inkludering i informasjonssamfunnet: iStøtet sluttrapport
(Report at the Norwegian Computing Center;, Research report, 2023)Eldre personer med nedsatt syn opplever mer ensomhet enn andre og er mindre digitale. Det å være en del av informasjonssamfunnet gjennom å ha tilgang til og å kunne bruke digitale verktøy har betydning for den enkeltes ... -
Motvirkning av ensomhet gjennom inkludering i informasjonssamfunnet: iStøtet sluttrapport
(NR-rapport;1061, Research report, 2023)Eldre personer med nedsatt syn opplever mer ensomhet enn andre og er mindre digitale. Det å være en del av informasjonssamfunnet gjennom å ha tilgang til og å kunne bruke digitale verktøy har betydning for den enkeltes ... -
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 ... -
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 ... -
Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation
(Chapter, 2020)We propose a novel architecture called the Multi-view Self-Constructing Graph Convolutional Networks (MSCG-Net) for semantic segmentation. Building on the recently proposed Self-Constructing Graph (SCG) module, which makes ... -
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
(Chapter, 2020)Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training. When in-domain labelled data is available, transfer learning techniques ... -
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 ... -
Nordmenn og deling av persondata
(NR-rapport;, Research report, 2019) -
Nordmenn og deling av persondata. Resultater fra en nasjonal undersøkelse i 2020 og to nasjonale undersøkelser i 2019
(Report at the Norwegian Computing Center;, Research report, 2020) -
Notes from Literature about Universal Design, Accessibility & Robots
(NR-notat;, Research report, 2022) -
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 ... -
Om ventemusikk og teknostress: En oversikt over hørselshemmedes bruk av kommunikasjonsteknologi
(Research report, 2022) -
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)