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Multi-Turn Generation-Based Conversational Agents in Open Domains
(Doctoral theses at NTNU;2024:75, Doctoral thesis, 2024)This PhD thesis focuses on open-domain generation-based conversational agents, which are chatbots that generate responses to any input or question using natural language processing and deep learning techniques. The thesis ... -
Multi-vendor Software Ecosystem: Challenges from Company’ Perspective
(Peer reviewed; Journal article, 2022)Software ecosystem is the term used for the distributed development of software when a company outsources a whole or a part of their product to single or multiple vendors. Along with the various benefits, outsourcing comes ... -
Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy
(Peer reviewed; Journal article, 2022)Early diagnosis of gastrointestinal pathologies leads to timely medical intervention and prevents disease development. Wireless Capsule Endoscopy (WCE) is used as a non-invasive alternative for gastrointestinal examination. ... -
Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models
(Peer reviewed; Journal article, 2021)Skin cancer is a widespread disease associated with eight diagnostic classes. The diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the similarity of skin cancer classes in phenotype. ... -
Multicloud-implementasjon med IT infrastruktur i Azure og Google Cloud
(Bachelor thesis, 2020)Denne bacheloroppgaven er skrevet i samarbeid med ATEA ASA i Trondheim, hvor vi fokuserer på mulighetene med “Multicloud”. Oppgaven er å etablere en IT infrastruktur i Microsoft Azure og hente én eller flere tjenester fra ... -
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 ...