Vitenskapelige tidsskriftartikler og konferanseartikler med fagfellevurdering (NVI-kategori): Nye registreringer
Viser treff 181-200 av 219
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Acoustic classification in multifrequency echosounder data using deep convolutional neural networks
(Journal article; Peer reviewed, 2020)Acoustic target classification is the process of assigning observed acoustic backscattering intensity to an acoustic category. A deep learning strategy for acoustic target classification using a convolutional network is ... -
Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh
(Journal article; Peer reviewed, 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 ... -
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 ... -
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 ... -
Reproducible Data Management and Analysis using R
(Chapter, 2020)Standardizing and documenting computational analyses is necessary to ensure reproducible results. We describe an R-based implementation of data management and preprocessing that is well integrated with the analysis tools ... -
Signals of Death - Post-Diagnostic Single Gene Expression Trajectories in Breast Cancer - A Proof of Concept
(Chapter, 2020)Using the time-dependent dynamics of gene expression from immune cells in blood, we aimed to explore single gene expression trajectories as biomarkers for death after a diagnosis of breast cancer introducing a new statistical ... -
On the number of bins in a rank histogram
(Journal article; Peer reviewed, 2020) -
shapr: An R-package for explaining machine learning models with dependence-aware Shapley values
(Journal article; Peer reviewed, 2020) -
Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees
(Chapter, 2022)It is becoming increasingly important to explain complex, black-box machine learning models. Although there is an expanding literature on this topic, Shapley values stand out as a sound method to explain predictions from ... -
Partially linear monotone methods with automatic variable selection and monotonicity direction discovery
(Journal article; Peer reviewed, 2020) -
The Truth behind the Zeros: A New Approach to Principal Component Analysis of the Neuropsychiatric Inventory
(Journal article; Peer reviewed, 2020)Psychiatric syndromes in dementia are often derived from the Neuropsychiatric Inventory (NPI) using principal component analysis (PCA). The validity of this statistical approach can be questioned, since the excessive ... -
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, ... -
A Novel Algorithmic Approach to Bayesian Logic Regression (with Discussion)
(Peer reviewed; Journal article, 2020) -
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 ... -
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 ... -
Distinct subsets of noncoding RNAs are strongly associated with BMD and fracture, studied in weight-bearing and non-weight-bearing human bone
(Peer reviewed; Journal article, 2020)We investigated mechanisms resulting in low bone mineral density (BMD) and susceptibility to fracture by comparing noncoding RNAs (ncRNAs) in biopsies of non–weight‐bearing (NWB) iliac (n = 84) and weight bearing (WB) ... -
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) -
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 ...