Browsing Publikasjoner fra Cristin by Title
Now showing items 126-145 of 247
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Machine Learning + Marine Science: Critical Role of Partnerships in Norway
(Others, 2021)In this essay, we review some recent advances in developing machine learning (ML) methods for marine science applications in Norway. We focus mostly on deep learning (DL) methods and review the challenges we have faced in ... -
A mammography classification model trained from image labels only
(Journal article; Peer reviewed, 2022) -
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 ... -
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 ... -
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 ... -
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) -
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 number of bins in a rank histogram
(Journal article; Peer reviewed, 2020) -
Optimized Anticipatory Adaptive Security Models for IoT-enabled Smart Grids
(Research report, 2020)The objective of this deliverable is to improve the accuracy of the adaptive mechanisms for different IoTs processing capabilities by applying high-level optimization using machine learning and AI approaches. In adaptive ... -
Out of Control. How consumers are exploited by the online advertising industry
(Research report, 2021)