Blar i Publikasjoner fra Cristin på tittel
Viser treff 223-242 av 284
-
skweak: Weak Supervision Made Easy for NLP
(Chapter, 2021)We present skweak, a versatile, Python-based software toolkit enabling NLP developers to apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging machine learning paradigm based on a simple idea: ... -
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. ... -
Sluttrapport for TiTi-prosjektet – Tilgjengelige tilbakemeldinger
(Report at the Norwegian Computing Center;, Research report, 2022) -
Social Contact for Older People with Visual Impairment Through Mastery of Smartphones: Barriers and Suggested Solutions
(Chapter, 2021)Older people with visual impairment are more prone to feeling lonely than their seeing peers. Research suggests that learning to use smartphones can improve psychological well-being in older adults. We seek to further ... -
Social stratification reflected in bone mineral density and stature: Spectral imaging and osteoarchaeological findings from medieval Norway
(Journal article; Peer reviewed, 2022) -
Some recent trends in embeddings of time series and dynamic networks
(Journal article; Peer reviewed, 2023)We give a review of some recent developments in embeddings of time series and dynamic networks. We start out with traditional principal components and then look at extensions to dynamic factor models for time series. Unlike ... -
Some recent trends in embeddings of time series and dynamic networks
(Journal article; Peer reviewed, 2023)We give a review of some recent developments in embeddings of time series and dynamic networks. We start out with traditional principal components and then look at extensions to dynamic factor models for time series. Unlike ... -
Spatial scaling of population synchrony in marine fish depends on their life history
(Journal article; Peer reviewed, 2019)The synchrony of population dynamics in space has important implications for ecological processes, for example affecting the spread of diseases, spatial distributions and risk of extinction. Here, we studied the relationship ... -
Spatial trend analysis of gridded temperature data at varying spatial scales
(Peer reviewed; Journal article, 2020) -
Spatiotemporal variation in climatic conditions across ecosystems
(Journal article; Peer reviewed, 2021) -
Spatiotemporal variation in climatic conditions across ecosystems
(Journal article; Peer reviewed, 2021) -
The specification of the data model part in the SAM model matters
(Peer reviewed; Journal article, 2020) -
Spørreundersøkelse om NAVs digitale tjenester og innbyggernes tilbakemeldinger
(Report at the Norwegian Computing Center;, Research report, 2022) -
Stakeholder Journey Analysis for Innovation: A Multiparty Analysis Framework for Startups
(Peer reviewed; Journal article, 2020)When analysing how the information-technological innovation of a startup company is perceived to affect the market, we encountered challenges when using existing customer journey analysis frameworks. In particular, we ... -
Stakeholder Perceptions on Requirements for Accessible Technical Condition Information in Residential Real Estate Transactions
(Journal article; Peer reviewed, 2022)Buyers of residential real estate frequently experience dissatisfaction with the property they have purchased. Recent findings suggest that insufficient knowledge about the property is a key trigger to ensuing disappointment ... -
Statistical Embedding: Beyond Principal Components
(Journal article; Peer reviewed, 2023)There has been an intense recent activity in embedding of very high-dimensional and nonlinear data structures, much of it in the data science and machine learning literature. We survey this activity in four parts. In the ... -
Statistical Embedding: Beyond Principal Components
(Journal article; Peer reviewed, 2023)There has been an intense recent activity in embedding of very high-dimensional and nonlinear data structures, much of it in the data science and machine learning literature. We survey this activity in four parts. In the ... -
Stochastic Modeling of Subseismic Faults Conditioned on Displacement and Orientation Maps
(Journal article; Peer reviewed, 2021) -
Stroke unit demand in Norway – present and future estimates
(Journal article; Peer reviewed, 2022) -
Structural geologic modeling and restoration using ensemble Kalman inversion
(Peer reviewed; Journal article, 2023)We demonstrate the use of Ensemble Kalman Inversion (EKI) for building three-dimensional, multi-fault, kinematically restorable structural geologic models, by means of a workflow in which fault geometry, the distribution of ...