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Explanation-aware Case-based Reasoning
(Master thesis, 2011)When tasks traditionally performed by humans are automated it is important thatthe machines are able to communicate how these tasks are solved and why. Whena user is surprised by the point of time where the task is executed, ... -
Exploiting Latent Context for Effective Social Recommendation
(Doctoral theses at NTNU;2020:250, Doctoral thesis, 2020)With the rapid proliferation of online social networks, the information overload problem becomes increasingly severe, and recommender systems play a critical role in helping online users discover useful information matching ... -
Exploration of Automatic Quality Assurance of Code Reviews
(Master thesis, 2023)Denne masteroppgaven vil gå inn i forskningen omgående kvalitetssikringen av kode anmeldelser for å lage en effektiv måte for lærere og lærerassistenter til å vite kvaliteten av kode anmeldelser som studenter skriver. Med ... -
Exploration of human attitude towards social robots during simple non-digital game
(Master thesis, 2022)Introduksjonen av roboter i moderne sivilisasjon har endret måten maskiner fungerer på. De er ikke lenger i et herre-slave forhold til mennesket. Med introduksjonen av sosial robotikk kan disse kunstige vesenene nå stå på ... -
An Exploration on the Influence Factors of the Optimal Sample Width for Hyperspectral Remote Sensing Image Classification
(Peer reviewed; Journal article, 2023)Spectral-spatial classification of hyperspectral image (HSI) has made enormous achievements in many applications. One of the critical attributes that affects classification accuracy is the width of HSI cube/patch. To seek ... -
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes
(Peer reviewed; Journal article, 2022)Background Patient-reported outcome measurements (PROMs) are commonly used in clinical practice to support clinical decision making. However, few studies have investigated machine learning methods for predicting PROMs ... -
An exploratory study about the role of gender in cybersecurity awareness for children
(Chapter, 2023)Gender disparities in technology use and cybersecurity are a persistent and growing concern among researchers and society. This paper presents the results from a qualitative study conducted with 25 parents in Norway, ... -
An exploratory study on academic staff perception towards blended learning in higher education
(Peer reviewed; Journal article, 2021)As the years progresses, higher education has move towards implementing Blended Learning (BL) which is a combination of face-to-face and online mode of teaching and learning which have continued to advance in institutions ... -
ExploreLCA – A Web Application for Exploring Systematised Life Cycle Assessments of Buildings
(Master thesis, 2021)Denne studien presenterer ExploreLCA, en webapplikasjon for utforskning av systematiserte livssyklusanalyser (LCA) av bygninger funnet i building LCA database (bLCAd)-verktøyet. bLCAd-verktøyet er en MySQL-database for ... -
Exploring a Convolutional Autoencoder with LSTM on E-commerce Time-Series Forecasting
(Master thesis, 2022)Denne masteroppgaven utforsker bruk av en convolutions-autoencoder og LSTM modell for å gjennomføre tidsserie prediksjon av produkt kategori trend data fra ``Prisguiden.no''. Denne masteroppgaven arbeider mot å utvide den ... -
Exploring a Convolutional Autoencoder with LSTM on E-commerce Time-Series Forecasting
(Master thesis, 2022)Denne masteroppgaven utforsker bruk av en convolutions-autoencoder og LSTM modell for å gjennomføre tidsserie prediksjon av produkt kategori trend data fra ``Prisguiden.no''. Denne masteroppgaven arbeider mot å utvide den ... -
Exploring a Developmental Reservoir Computing System Using Self-Modifying Recurrent Cartesian Genetic Programming
(Master thesis, 2017)Inspired by biology, numerous new computational models have been proposed as alternatives to cope with the ever-growing complexity of the traditional von Neumann architecture. Vastly parallel systems comprising simple units ... -
Exploring Active and Critical Engagement in Human-Robot Interaction to Develop Programming Skills: A Pilot Study
(Journal article; Peer reviewed, 2023)Humanoid robots can help improve the spatial programming skills of children by making abstract concepts playful, tangible, concrete, and thereby understandable. However, active and critical engagement with robots creates ... -
Exploring and Analyzing the Real Impact of Modern On-Package Memory on HPC Scientific Kernels
(Journal article; Peer reviewed, 2017)High-bandwidth On-Package Memory (OPM) innovates the conventional memory hierarchy by augmenting a new on-package layer between classic on-chip cache and off-chip DRAM. Due to its relative location and capacity, OPM is ... -
Exploring and expanding GSE education with open source software development
(Journal article; Peer reviewed, 2019)Global software engineering (GSE) courses traditionally require cooperation between at least two universities so as to provide a distributed development environment to the students. In this study, we explore an alternative ... -
Exploring and Expanding Students' Success in Software Testing
(Journal article; Peer reviewed, 2017)Purpose Testing is one of the indispensable activities in software development and is being adopted as an independent course by software engineering (SE) departments at universities worldwide. The purpose of this paper ... -
Exploring and Extending Research in Multi-vendor Software Ecosystem
(Chapter, 2022)Software ecosystem represents all the businesses, parties, and their interactions for the software product of mutual interest. Functioning in a software ecosystem is tough for entities involved due to varying interactions ... -
Exploring BM25F for Information Retrieval over Semantic Web Data
(Master thesis, 2020)En økende mengde data er utvidet med semantisk struktur for å forme merkede rettede grafer, slik som i det semantiske web. Det gir en rikere måte å forstå forhold mellom datapunkt på. I slik lenket data er spørringspråk ... -
Exploring Cells and Context Approaches for RNN Based Conversational Agents
(Master thesis, 2017)Natural Language Processing is a challenging field within Artificial Intelligence, and building bots and conversational agents have been pursued by many researchers over the last decades. These agents should output reasonable ... -
Exploring children’s learning experience in constructionism-based coding activities through design-based research
(Journal article; Peer reviewed, 2019)