Publikasjoner fra Cristin
Recent Submissions
-
R2030: Digitaliseringsvennlig regelverk. Metoder for regelverksforenkling, med eksempler fra bruksforskriften
(NR-notat;, Research report, 2023)Digitalisering av regelverk gir effektiviseringsgevinster gjennom utvikling av digitale tjenester. For at et regelverk skal kunne digitaliseres effektivt, er det viktig å sørge for at reglene er så enkle som mulige og at ... -
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, ... -
Some recent trends in embeddings of time series and dynamic networks
(Journal article; Peer reviewed, 2023)We give a review of some recent developments in embeddings of time series and dynamic networks. We start out with traditional principal components and then look at extensions to dynamic factor models for time series. Unlike ... -
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
(Journal article; Peer reviewed, 2023)Deep learning has the potential to revolutionize medical practice by automating and performing important tasks like detecting and delineating the size and locations of cancers in medical images. However, most deep learning ... -
Statistical Embedding: Beyond Principal Components
(Journal article; Peer reviewed, 2023)There has been an intense recent activity in embedding of very high-dimensional and nonlinear data structures, much of it in the data science and machine learning literature. We survey this activity in four parts. In the ... -
Earthquake Catalog Processing and Swarm Identification for the Pacific Northwest
(Journal article; Peer reviewed, 2023)The Pacific Northwest (PNW) of North America encompasses diverse tectonic settings that can produce damaging earthquakes near population centers. Seismicity in this region is often clustered into aftershock sequences and ... -
eXplego: An interactive Tool that Helps you Select Appropriate XAI-methods for your Explainability Needs
(Journal article; Peer reviewed, 2023)The growing demand for transparency, interpretability, and explainability of machine learning models and AI systems has fueled the development of methods aimed at understanding the properties and behavior of such models ... -
Evidence in the fog – Triage in fog computing systems
(Journal article; Peer reviewed, 2023)Fog computing promises improved service scalability and lower latency for IoT systems. The concept closes the gap between full computing capabilities at the network's edge and cloud systems' centrally located processing ... -
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
(Journal article; Peer reviewed, 2023) -
Recommendations for quantitative uncertainty consideration in ecology and evolution
(Journal article; Peer reviewed, 2023)Correct quantification and reporting of model uncertainties are fundamental to reliable science. Failing to fully account for uncertainty in scientific work leads to overconfidence and potentially adverse actions. Despite ... -
Privacy-preserving continuous authentication using behavioral biometrics
(Journal article; Peer reviewed, 2023)Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which ... -
Et forslag til strømstøtte basert på timespriser
(Others, 2023)Jeg foreslår at strømstøtten blir timebasert, med en støtte på 90 prosent av spotpris over cirka 87 øre. Den hindrer både gratisstrøm, negative priser og ekstrempriser og gir samme kostnad for staten. -
Comparing CMIP6 Climate Model Simulations of Annual Global Mean Temperatures to a New Combined Data Product
(Peer reviewed; Journal article, 2023) -
Effects of local density dependence and temperature on the spatial synchrony of marine fish populations
(Journal article; Peer reviewed, 2023)Disentangling empirically the many processes affecting spatial population synchrony is a challenge in population ecology. Two processes that could have major effects on the spatial synchrony of wild population dynamics are ... -
Detecting significant retrospective patterns in state space fish stock assessment
(Journal article; Peer reviewed, 2023)Retrospective patterns are commonly investigated to validate fish stock assessment models. A widely applied measure for retrospective bias is Mohn’s ρ and corresponding retrospective plots. However, retrospective patterns ... -
The Development of Microhistorical Databases in Norway A Historiography
(Peer reviewed; Journal article, 2023)Norwegian work on microdata started out with the full count 1801 census and census and vital records from around the capital. Today, most census and ministerial records from 1801 until the mid-20th century have been scanned, ... -
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. ... -
Towards more supportive ICT for children with autism spectrum disorders: lessons learned from COVID-19 pandemic
(Peer reviewed; Journal article, 2023)COVID-19 pandemic has disrupted daily routines, causing isolation and quarantine. Technology has emerged as a crucial tool for sustaining essential activities, but children with autism spectrum disorders have faced ... -
A Cognitive Digital Twin Architecture for Cybersecurity in IoT-Based Smart Homes
(Peer reviewed; Journal article, 2023)Home Sensing Technology Conference paper A Cognitive Digital Twin Architecture for Cybersecurity in IoT-Based Smart Homes Sandeep Pirbhulal, Habtamu Abie, Ankur Shukla & Basel Katt Conference paper First Online: 09 April ... -
Salmon lice (Lepeophtheirus salmonis) in the stomach contents of lumpfish (Cyclopterus lumpus) sampled from Norwegian fish farms: Relationship between lice grazing and operational conditions
(Peer reviewed; Journal article, 2023)Cleaner fish are commonly used as a control measure against salmon lice infestations in salmonid farms. Lumpfish (Cyclopterus lumpus) is the most common cleaner fish species used in Norwegian farms. However, little is known ...
RSS 2.0