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Multiconcern, Dependability-Centered Assurance Via a Qualitative and Quantitative Coanalysis
(Peer reviewed; Journal article, 2022)To contribute to multiconcern assurance, we focus on system design and present a high-level process that builds on top of the synergy between qualitative and quantitative dependability analysis techniques, which have been ... -
Multicore Max-Flow using GraphBLAS: A Usability Study
(Peer reviewed; Journal article, 2021)Optimizing linear algebra operations has been a research topic for decades. The compact language of mathematics also produce lean, maintainable code. Using linear algebra as a high-level abstraction for graph operations ... -
MultiGo - Implementing Parallel Execution for Bare-Metal Golang
(Master thesis, 2023)Denne oppgave går ut på å forbedre bare-metal programvare utvikling for RISCV systemer med MultiGo. MultiGo er en modifikasjon av Embeddedgo. MultiGo legger til støtte for parallelt kjørende tråder, noe Embeddedgo mangler. ... -
Multigrid feature-based terrain generation with erosion
(Master thesis, 2021)Landskap generering har vært et forsknings-felt i nesten 30 år og er fundamentalt i mange applikasjoner. Til tross for dette er det fortsatt mange uløste problemer, og designere er nødt til å designe terreng manuelt for å ... -
Multilingual News Article Classification
(Master thesis, 2016)News is an ever-growing and global resource, reliant on robust distribution networks to spread information. This thesis investigates how exploiting semantic, contextual and ontological information may form a basis for a ... -
Multilingual Poetry Generation
(Master thesis, 2019)I krysset mellom Natural Language Processing and Computational Creativity er diktgenerering en sammensatt oppgave, delvis på grunn av de forskjellige formene den kan ta og subjektiviteten til evalueringen. På grunn av deres ... -
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis
(Peer reviewed; Journal article, 2021)With the dramatic expansion of international markets, consumers write reviews in different languages, which poses a new challenge for Recommender Systems (RSs) dealing with this increasing amount of multilingual information. ... -
MultiMAuS: A Multi-Modal Authentication Simulator for Fraud Detection Research
(Chapter, 2017)MultiMAuS is an agent-based simulator for payment transactions, intended for the analysis and development of dynamic on-line fraud detection methods via a multi-modal user authentication system. The multi-modal authentication ... -
A Multimethod Approach to Multimodal Function Optimization
(Chapter, 2021)Multimodal functions play a central role in artificial intelligence. In this paper we attempt to address limitations in existing research on multimodal function optimization by developing a novel multi-method memetic ... -
Multimodal 3D object detection from simulated pretraining
(Peer reviewed; Journal article, 2019)The need for simulated data in autonomous driving applications has become increasingly important, both for validation of pretrained models and for training new models. In order for these models to generalize to real-world ... -
Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play
(Peer reviewed; Journal article, 2021)Increased accessibility of lightweight sensors (e.g., eye trackers, physiological wristbands, and motion sensors), enable the extraction of student’s cognitive, physiological, skeletal, and affective data, as they engage ... -
Multimodal Behaviour Generation Frameworks in Virtual Heritage Applications: A Virtual Museum at Sverresborg
(Master thesis, 2009)This masters thesis proposes that multimodal behaviour generation frameworks are an appropriate way to increase the believability of animated characters in virtual heritage applications. To investigate this proposal, an ... -
Multimodal data as a means to understand the learning experience
(Journal article; Peer reviewed, 2019)Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting learning behaviour. In this paper we set out to quantify what, if any, advantages do physiological ... -
Multimodal data capabilities for learning: What can multimodal data tell us about learning?
(Peer reviewed; Journal article, 2020)Most research on learning technology uses clickstreams and questionnaires as their primary source of quantitative data. This study presents the outcomes of a systematic literature review of empirical evidence on the ... -
Multimodal Fusion Method Based on Self-Attention Mechanism
(Peer reviewed; Journal article, 2020)Multimodal fusion is one of the popular research directions of multimodal research, and it is also an emerging research field of artificial intelligence. Multimodal fusion is aimed at taking advantage of the complementarity ... -
Multimodal learning analytics to inform learning design: Lessons learned from computing education
(Peer reviewed; Journal article, 2020)Programming is a complex learning activity that involves coordination of cognitive processes and affective states. These aspects are often considered individually in computing education research, demonstrating limited ... -
Multimodal performers for genomic selection and crop yield prediction
(Peer reviewed; Journal article, 2021)Working towards optimal crop yields is a crucial step towards securing a stable food supply for the world. To this end, approaches to model and predict crop yields can help speed up research and reduce costs. However, crop ... -
Multimodal registration across 3D point clouds and CT-volumes
(Peer reviewed; Journal article, 2022)Multimodal registration is a challenging problem in visual computing, commonly faced during medical image-guided interventions, data fusion and 3D object retrieval. The main challenge of multimodal registration is finding ... -
Multimodal Volume to Volume Registration between Ultrasound and MRI
(Master thesis, 2006)This master-thesis considers implementation of automated multimodal volume-to-volume registration of images, in order to provide neurosurgeons with valuable information for planning and intraoperative guidance. Focus has ... -
A multinational Delphi consensus to end the COVID-19 public health threat
(Peer reviewed; Journal article, 2022)Despite notable scientific and medical advances, broader political, socioeconomic and behavioural factors continue to undercut the response to the COVID-19 pandemic1,2. Here we convened, as part of this Delphi study, a ...