Browsing Publikasjoner fra Cristin by Title
Now showing items 1-20 of 239
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A Novel Algorithmic Approach to Bayesian Logic Regression (with Discussion)
(Peer reviewed; Journal article, 2020) -
An Abstract Machine Approach to Preserving Digital Information
(Journal article; Peer reviewed, 2021) -
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 ... -
Adaptive Safety for Internet of Things in e-Health
(Journal article, 2022)Wireless pervasive computing devices are rapidly penetrating our environments, where e-Health is among the most critical ones. In the e-Health environment it is not only important to address security and privacy issues ... -
Adaptive Security and Trust Management for Autonomous Messaging Systems
(Journal article, 2022)With society's increased dependence on information communication systems, the need for dependable, trustable, robust, and secure adaptive systems becomes ever more acute. Modern autonomic message-oriented middleware platforms ... -
Addressing class imbalance in deep learning for acoustic target classification
(Journal article; Peer reviewed, 2023)Acoustic surveys provide important data for fisheries management. During the surveys, ship-mounted echo sounders send acoustic signals into the water and measure the strength of the reflection, so-called backscatter. ... -
Adhd and mental health symptoms in the identification of young adults with increased risk of alcohol dependency in the general population—the hunt4 population study
(Journal article; Peer reviewed, 2021) -
Age-dependent patterns of spatial autocorrelation in fish populations
(Journal article; Peer reviewed, 2021) -
An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product
(Journal article; Peer reviewed, 2022) -
ALerT – Learning about privacy at the time of data sharing everywhere
(Journal article, 2020) -
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
(Journal article; Peer reviewed, 2023)Analyzing deep neural networks (DNNs) via information plane (IP) theory has gained tremendous attention recently to gain insight into, among others, DNNs’ generalization ability. However, it is by no means obvious how to ... -
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
(Journal article; Peer reviewed, 2023) -
Anbefalinger fra TiTi-prosjektet (Leveransene L3.2, L4.3, L5.2 og L5.3)
(NR-notat;, Research report, 2022) -
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 ... -
Anvendelser av Norges historiske befolkningsregister
(Peer reviewed; Journal article, 2020) -
Arctic Fisheries Working Group (AFWG; outputs from 2022 meeting)
(Journal article, 2023) -
Automatic Evaluation of Disclosure Risks of Text Anonymization Methods
(Chapter, 2022)The standard approach to evaluate text anonymization methods consists of comparing their outcomes with the anonymization performed by human experts. The degree of privacy protection attained is then measured with the ... -
Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation
(Journal article; Peer reviewed, 2022)The age determination of fish is fundamental to marine resource management. This task is commonly done by analysis of otoliths performed manually by human experts. Otolith images from Greenland halibut acquired by the ... -
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 ... -
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 ...