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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) -
Assessing uncertainty in hydrological projections arising from local-scale internal variability of climate
(Journal article; Peer reviewed, 2023)Hydrological impact assessments are increasingly performed at fine spatial and temporal resolutions in order to resolve local-scale changes under a future climate. Apart from the uncertainty represented by different climate ... -
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 ... -
Automatic identification of chemical moieties
(Journal article; Peer reviewed, 2023)In recent years, the prediction of quantum mechanical observables with machine learning methods has become increasingly popular. Message-passing neural networks (MPNNs) solve this task by constructing atomic representations, ... -
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 ... -
Behavioural response of farmed Atlantic salmon (Salmo salar L.) to artificial underwater lights: Wavelet analysis of acoustic telemetry data
(Journal article; Peer reviewed, 2021) -
A Benchmarking Dataset for Seasonal Weather Forecasts
(NR-notat;, Research report, 2022) -
Best Practice for Inclusive Journey Mapping and Diversity in User Participation
(Lecture Notes in Computer Science;14020, Chapter, 2023)This work investigates how co-creation workshops, in which user journeys and personas are developed jointly with workshop participants, can be made as inclusive as possible for a wide range of participants and thus personas ... -
The blood transcriptome prior to ovarian cancer diagnosis: A case-control study in the NOWAC postgenome cohort
(Journal article; Peer reviewed, 2021) -
Bone mineral density through history: Dual-energy X-ray absorptiometry in archaeological populations of Norway.
(Journal article; Peer reviewed, 2021) -
Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate
(Journal article; Peer reviewed, 2021)Climate change impact assessment related to floods, infrastructure networks, and water resource management applications requires realistic simulations of high-resolution gridded precipitation series under a future climate. ... -
Categories of User Impairment
(Chapter, 2021) -
Caveats with estimating natural mortality rates in stock assessment models using age aggregated catch data and abundance indices
(Journal article; Peer reviewed, 2021)