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Eksterne rapporter [7]
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NR-notat / Norsk Regnesentral-notater (NR Notes) [25]
Tekniske rapporter og rapporter til oppdragsgivere. -
NR-rapporter / Norsk Regnesentral-rapporter (Reports at the Norwegian Computing Center) [24]
Tekniske rapporter og rapporter til oppdragsgivere som kan ha allmenn interesse. -
Populærvitenskapelige publikasjoner og mediebidrag [2]
Populærvitenskaplige publikasjoner og mediebidrag utgitt av andre organisasjoner -
Vitenskapelige tidsskriftartikler og konferanseartikler med fagfellevurdering (NVI-kategori) [219]
Vitenskapelige tidsskriftartikler og konferanseartikler med fagfellevurdering (NVI-kategori)
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Project Smells for Early Detection of Problems with Benefits Realization
(Journal article; Peer reviewed, 2024)Although substantial research has provided guidance on how to identify and manage the benefits of new software solutions, ensuring the realization of those benefits remains a challenge. Inspired by the notion of code smells ... -
Using Pattern Counts to Quantify the Difference Between a Pair of Three-Dimensional Realizations
(Journal article; Peer reviewed, 2024)When comparing different ways of modeling discrete three-dimensional realizations such as facies, it is useful to have a measure of difference (or similarity) in the geometry of these realizations.We propose a method for ... -
Exploring active ageing in a community-based living environment: an ethnographic study in the Western Norway context
(Journal article; Peer reviewed, 2024)Background: Age-friendly environments intend to promote active ageing by facilitating social, mental, and physical participation. This could potentially delay the onset of chronic complex conditions, enabling people to ... -
A volume-conserving representation of cell faces in corner point grids
(Journal article; Peer reviewed, 2015)Corner point grids is currently the standard grid representation for use in reservoir simulation. The cell faces in corner point grids are traditionally represented as bilinear surfaces where the edges between the corner ... -
User Interaction Data in Apps: Comparing Policy Claims to Implementations
(Journal article; Peer reviewed, 2024)As mobile app usage continues to rise, so does the generation of extensive user interaction data, which includes actions such as swiping, zooming, or the time spent on a screen. Apps often collect a large amount of this ... -
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 ... -
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 ... -
A comparative study of methods for estimating model-agnostic Shapley value explanations
(Journal article; Peer reviewed, 2024)Shapley values originated in cooperative game theory but are extensively used today as a model-agnostic explanation framework to explain predictions made by complex machine learning models in the industry and academia. ... -
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data
(Journal article; Peer reviewed, 2024)We introduce MCCE: Monte Carlo sampling of valid and realistic Counterfactual Explanations for tabular data, a novel counterfactual explanation method that generates on-manifold, actionable and valid counterfactuals by ... -
A new framework for semi-Markovian parametric multi-state models with interval censoring
(Journal article; Peer reviewed, 2023)There are few computational and methodological tools available for the analysis of general multi-state models with interval censoring. Here, we propose a general framework for parametric inference with interval censored ... -
Se meg - hør meg
(Research report, 2024)Interesseorganisasjoner som jobber med tilrettelegging for personer med funksjonsnedsettelser, får mange tilbakemeldinger om negative opplevelser med reiselivet. Det er dessuten gjort lite forskning på dette temaet, og det ... -
Cryptanalysis of a privacy-preserving authentication scheme based on private set intersection
(Journal article; Peer reviewed, 2024) -
Data assimilation and statistical post-processing for numerical air quality predictions
(NR-notat;, Research report, 2014)This is a joint report based on work by NILU and NR on the use of data assimilation and statistical post-processing tools to improve the air quality prediction in the context of the Bedre Byluft programme. The objective ... -
Novel and Efficient Privacy-Preserving Continuous Authentication
(Journal article; Peer reviewed, 2024)Continuous authentication enhances security by re-verifying a user’s validity during the active session. It utilizes data about users’ behavioral actions and contextual information to authenticate them continuously. Such ... -
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
(Journal article; Peer reviewed, 2023)Self-supervised learning is a central component in recent approaches to deep multi-view clustering (MVC). However, we find large variations in the development of self-supervision-based methods for deep MVC, potentially ... -
A new framework for semi-Markovian parametric multi-state models with interval censoring
(Journal article; Peer reviewed, 2023)There are few computational and methodological tools available for the analysis of general multi-state models with interval censoring. Here, we propose a general framework for parametric inference with interval censored ... -
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings
(Journal article; Peer reviewed, 2023)Distance-based classification is frequently used in transductive few-shot learning (FSL). However, due to the high-dimensionality of image representations, FSL classifiers are prone to suffer from the hubness problem, where ... -
Estimated effectiveness of treatments against salmon lice in marine salmonid farming
(Journal article; Peer reviewed, 2023)We here estimate the effectiveness of ten types of salmon lice treatments currently used in the salmonid industry by analysing daily and cage-wise data from 90 full production cycles from farms spread along the Norwegian ... -
A two-stage mammography classification model using explainable-AI for ROI detection
(Journal article; Peer reviewed, 2023)This study introduces an enhanced version of a two-stage modelling approach using artificial intelligence (AI) for breast cancer detection in mammography screening. Leveraging a large dataset of 2,863,175 mammograms from ... -
Flexible and consistent Flood–Duration–Frequency modeling: A Bayesian approach
(Journal article; Peer reviewed, 2023)Design flood values give estimates of flood magnitude within a given return period and are essential to making adaptive decisions around land use planning, infrastructure design, and disaster mitigation. Many hydrologic ...
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