Blar i Publikasjoner fra Cristin på utgivelsesdato
Viser treff 41-60 av 283
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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 ... -
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 ... -
ALerT – Learning about privacy at the time of data sharing everywhere
(Journal article, 2020) -
A Novel Algorithmic Approach to Bayesian Logic Regression (with Discussion)
(Peer reviewed; Journal article, 2020) -
Bayesian seismic inversion for stratigraphic horizon, lithology, and fluid prediction
(Peer reviewed; Journal article, 2020)We have developed an efficient methodology for Bayesian prediction of lithology and pore fluid, and layer-bounding horizons, in which we include and use spatial geologic prior knowledge such as vertical ordering of ... -
Partially linear monotone methods with automatic variable selection and monotonicity direction discovery
(Journal article; Peer reviewed, 2020) -
Explaining decisions of deep neural networks used for fish age prediction
(Peer reviewed; Journal article, 2020) -
A Bayesian Binomial Regression Model with Latent Gaussian Processes for Modelling DNA Methylation
(Peer reviewed; Journal article, 2020)Epigenetic observations are represented by the total number of reads from a given pool of cells and the number of methylated reads, making it reasonable to model this data by a binomial distribution. There are numerous ... -
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 ... -
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 ... -
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 ... -
Pairwise local Fisher and naive Bayes: Improving two standard discriminants
(Journal article; Peer reviewed, 2020)The Fisher discriminant is probably the best known likelihood discriminant for continuous data. Another benchmark discriminant is the naive Bayes, which is based on marginals only. In this paper we extend both discriminants ... -
Dense dilated convolutions merging network for land cover classification
(Journal article; Peer reviewed, 2020)Land cover classification of remote sensing images is a challenging task due to limited amounts of annotated data, highly imbalanced classes, frequent incorrect pixel-level annotations, and an inherent complexity in the ... -
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 ... -
Evaluation of CMIP5 and CMIP6 simulations of historical surface air temperature extremes using proper evaluation methods
(Journal article; Peer reviewed, 2020)Reliable projections of extremes by climate models are becoming increasingly important in the context of climate change and associated societal impacts. Extremes are by definition rare events, characterized by a small ... -
Design of the capable health empowerment tool: Citizens' needs and expectations
(Peer reviewed; Journal article, 2020)It is important but difficult for citizens to gain a proper overview of their health-related information. The CAPABLE project aims to create a digital tool that enable citizens to actively utilize their clinical and personal ... -
Lusebeitingsadferd hos rognkjeks
(Research report, 2020) -
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 ... -
Anticipatory Adaptive Security for IoT-based Smart Grids Infrastructure and Value-added Services
(NR-notat;, Research report, 2020)The report describes the research and development of adaptive security addressing the protection of "IoT-based smart grids" against evolutionary threats and attacks through the prediction and advanced behavioural analysis ... -
Privacy-preserving greater-than integer comparison without binary decomposition
(Chapter, 2020)Common for the overwhelming majority of privacy-preserving greater-than integer comparison schemes is that cryptographic computations are conducted in a bitwise manner. To ensure secrecy, each bit must be encoded in such ...