Blar i Publikasjoner fra Cristin på tittel
Viser treff 58-77 av 143
-
groupShapley: Efficient prediction explanation with Shapley values for feature groups
(Journal article, 2021) -
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) -
Inkluderende arbeidsliv: synshemmedes arbeidsdeltakelse og IKT
(Lecture, 2022)Presentasjon av resultater fra toårig prosjekt med tilskudd fra BUFDIR: Tiltak for å bedre levekårene og livskvaliteten til personer med funksjonsnedsettelser 2020 -
Involving Diverse Users for Inclusive Technology Development
(Chapter, 2021) -
iStøtet – IT-støtte for synshemmede eldre
(Report at the Norwegian Computing Center;, Research report, 2020)Synshemmede eldre er en gruppe med stor risiko for å oppleve ensomhet. Bruk av smartteknologi blant denne gruppen er lavere enn blant seende eldre, samtidig som nytten kan være større. Det å beherske smartteknologi kan ... -
iStøtet – IT-støtte for synshemmede eldre 2020: Inkludering i informasjonssamfunnet – motivasjon, opplæring og oppfølging
(Report at the Norwegian Computing Center;, Research report, 2021)Synshemmede eldre er en gruppe med stor risiko for å oppleve ensomhet. Bruk av smartteknologi blant denne gruppen er lavere enn blant seende eldre, samtidig som nytten kan være større. Det å beherske smartteknologi kan ... -
"Kanskje du kunne bli maler?" – Fem personer med nedsatt syn forteller om sine erfaringer som arbeidssøkere og arbeidstakere
(Report at the Norwegian Computing Center, Research report, 2022)I denne studien har vi samlet erfaringer som fem personer med synsnedsettelse (svaksynte og blinde) har gjort som arbeidssøkere og senere arbeidstakere. I tillegg er representanter fra deres arbeidsgivere intervjuet. Målet ... -
Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning
(Chapter, 2020)The deep learning revolution in computer vision has enabled a potential for creating new value chains for Earth observation that significantly enhances the analysis of satellite data for tasks like land cover mapping, ... -
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 ... -
Lusebeitingsadferd hos rognkjeks
(Research report, 2020) -
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 ... -
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 ... -
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)