Browsing Publikasjoner fra Cristin by Issue Date
Now showing items 21-40 of 295
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Spatial trend analysis of gridded temperature data at varying spatial scales
(Peer reviewed; Journal article, 2020) -
On the number of bins in a rank histogram
(Journal article; Peer reviewed, 2020) -
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
(Journal article; Peer reviewed, 2020) -
Using Social Robots to Teach Language Skills to Immigrant Children in an Oslo City District
(Peer reviewed; Journal article, 2020) -
Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression"
(Peer reviewed; Journal article, 2020)Logic regression was developed more than a decade ago as a tool to construct predictors from Boolean combinations of binary covariates. It has been mainly used to model epistatic effects in genetic association studies, ... -
Teknologiens mange sider i synshemmedes arbeidsliv
(Report at the Norwegian Computing Center;, Research report, 2020) -
Evolutionary Game for Confidentiality in IoT-Enabled Smart Grids
(Peer reviewed; Journal article, 2020) -
Mobile Sensing in Substance Use Research: A Scoping Review
(Peer reviewed; Journal article, 2020) -
Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh
(Peer reviewed; Journal article, 2020)Human mobility plays a major role in the spatial dissemination of infectious diseases. We develop a spatio-temporal stochastic model for influenza-like disease spread based on estimates of human mobility. The model is ... -
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 ... -
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 ... -
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 ... -
The specification of the data model part in the SAM model matters
(Peer reviewed; Journal article, 2020) -
Self-Constructing Graph Convolutional Networks for Semantic Labeling
(Chapter, 2020)Graph Neural Networks (GNNs) have received increasing attention in many fields. However, due to the lack of prior graphs, their use for semantic labeling has been limited. Here, we propose a novel architecture called the ... -
shapr: An R-package for explaining machine learning models with dependence-aware Shapley values
(Journal article; Peer reviewed, 2020) -
Situated Abilities within Universal Design – A Theoretical Exploration
(Peer reviewed; Journal article, 2020)This paper investigates Universal Design (UD) through the idea of designing for situated abilities, rather than focusing on designing for disabled users. This shift in perspective from disabilities to abilities is explored ... -
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 ... -
Deep generative models for reject inference in credit scoring
(Journal article; Peer reviewed, 2020)Credit scoring models based on accepted applications may be biased and their consequences can have a statistical and economic impact. Reject inference is the process of attempting to infer the creditworthiness status of ... -
The 1st Agriculture-Vision Challenge: Methods and Results
(Chapter, 2020)