TKD - Institutt for informasjonsteknologi: Nye registreringer
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The Timing and Strength of Inequality Concerns in the UK Public Debate: Google Trends, Elections and the Macroeconomy
(Peer reviewed; Journal article, 2024)Inequality among people has several unwanted effects, in humanistic, social and economic contexts. Several studies address distributional preferences among groups, but little is known about when inequality issues are focused ... -
Frequency-Histogram Coarse Graining in Elementary and 2-Dimensional Cellular Automata
(Peer reviewed; Journal article, 2024)Cellular automata and other discrete dynamical systems have long been studied as models of emergent complexity. Recently, neural cellular automata have been proposed as models to investigate the emerge of a more general ... -
Mind Your Step: A Diary Study of a Person with Visual Impairment Navigating a City with a Smart Cane
(Communications in Computer and Information Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)Several studies have documented the navigation requirements and preferences of people with visual impairments. The primary methods used in such studies were interviews and surveys. With the same goal, this study employed ... -
Capturing Emerging Complexity in Lenia
(Communications in Computer and Information Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)This work investigates the emergent complexity in Lenia, an artificial life platform that simulates ecosystems of digital creatures. Lenia’s ecosystem consists of a continuous cellular automaton where simple artificial ... -
The Usability of Persistent and Non-Persistent Headers on Web Pages
(International Conference on Enterprise Information Systems;, Chapter; Peer reviewed; Conference object, 2024)Websites are used for many different purposes and can also be designed in different ways with different styles. Certain website designs use persistent headers, while some alternatively use non-persistent headers. Online ... -
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
(Lecture Notes in Computer Science (LNCS);, Peer reviewed; Journal article, 2023)Nowadays, most people have a smartphone that can track their everyday activities. Furthermore, a significant number of people wear advanced smartwatches to track several vital biomarkers in addition to activity data. ... -
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
(Chapter; Peer reviewed; Conference object; Journal article, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ... -
Multimedia Datasets: Challenges and Future Possibilities
(Chapter; Peer reviewed; Conference object; Journal article, 2023)Public multimedia datasets can enhance knowledge discovery and model development as more researchers have the opportunity to contribute to exploring them. However, as these datasets become larger and more multimodal, besides ... -
Random sparse generators of Markovian evolution and their spectral properties
(Peer reviewed; Journal article, 2023)The evolution of a complex multi-state system is often interpreted as a continuous-time Markovian process. To model the relaxation dynamics of such systems, we introduce an ensemble of random sparse matrices which can be ... -
Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol
(Peer reviewed; Journal article, 2023)More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain ... -
Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modelling using VolcanicAshInversion v1.2.1, within the operational eEMEP volcanic plume forecasting system (version rv4_17)
(Peer reviewed; Journal article, 2024)Accurate modeling of ash clouds from volcanic eruptions requires knowledge about the eruption source parameters including eruption onset, duration, mass eruption rates, particle size distribution, and vertical-emission ... -
Technological Utilization in Remote Healthcare: Factors Influencing Healthcare Professionals' Adoption and Use
(Peer reviewed; Journal article, 2024)Background: This study focuses on evaluating the perceptions, competencies, and acceptance of remote healthcare monitoring technology among healthcare professionals in developing countries, specifically India and Bhutan, ... -
Efficient Estimation of Generative Models Using Tukey Depth
(Peer reviewed; Journal article, 2024)Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of ... -
A dataset for predicting cloud cover over Europe
(Peer reviewed; Journal article, 2024)Clouds are important factors when projecting future climate. Unfortunately, future cloud fractional cover (the portion of the sky covered by clouds) is associated with significant uncertainty, making climate projections ... -
Peer-Mentoring for Students with Disabilities – A Preliminary Study in Norwegian Higher Education
(Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)The number of students with disabilities in higher education is increasing. Despite governmental and institutional support, students with disabilities often have poorer progression and are at a higher risk of dropping out ... -
Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface
(Peer reviewed; Journal article, 2024)In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ... -
Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modelling using VolcanicAshInversion v1.2.1, within the operational eEMEP volcanic plume forecasting system (version rv4_17)
(Peer reviewed; Journal article, 2024)Accurate modeling of ash clouds from volcanic eruptions requires knowledge about the eruption source parameters including eruption onset, duration, mass eruption rates, particle size distribution, and vertical-emission ... -
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
(Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ... -
A graph neural approach for group recommendation system based on pairwise preferences
(Peer reviewed; Journal article, 2024)Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ... -
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models
(Peer reviewed; Journal article, 2023)Introduction: A challenge when applying an artificial intelligence (AI) deep learning (DL) approach to novel electroencephalography (EEG) data, is the DL architecture’s lack of adaptability to changing numbers of EEG ...