Publikasjoner fra Cristin
Recent Submissions
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Efficient non-interactive anonymous communication
(Journal article; Peer reviewed, 2024)Methods for untraceable and anonymous communication, such as anonymous routing networks and dining cryptographers networks, are in general very complex and suffer from high performance overhead of a minimum order of ... -
IoT cybersecurity in 5G and beyond: a systematic literature review
(Journal article; Peer reviewed, 2024)The 5th generation (5G) and beyond use Internet of Things (IoT) to offer the feature of remote monitoring for different applications such as transportation, healthcare, and energy. There are several advantages of 5G and ... -
Assessing the Quality of Human-Generated Summaries with Weakly Supervised Learning
(Chapter, 2021)This paper explores how to automatically measure the quality of human-generated summaries, based on a Norwegian corpus of real estate condition reports and their corresponding summaries. The proposed approach proceeds in ... -
Stream ciphers - Cryptography
(NR-notat;, Research report, 2024)The purpose of this report is to highlight security principles in relation to efficient cryptographic algorithms and provide a brief introduction to a few such prominent algorithms. A need for efficient cryptographic ... -
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
(Journal article; Peer reviewed, 2024)Objective Function Mismatch (OFM) occurs when the optimization of one objective has a negative impact on the optimization of another objective. In this work we study OFM in deep clustering, and find that the popular ... -
Guttastemning in a Box - Fostering Emotional Connections Beyond the Screen
(Journal article; Peer reviewed, 2024) -
Method development for mapping kelp using drones and satellite images: Results from the KELPMAP-Vega project
(NIVA-rapport;, Research report, 2024)The KELPMAP study demonstrated that high-resolution multispectral data from drones and satellites, combined with AI-based image analysis, can efficiently map kelp forests and other coastal habitats. The field campaign, ... -
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 ... -
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 ... -
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 ... -
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 ...
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