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Machine Learning for Smart Building Applications: Review and Taxonomy
(Journal article; Peer reviewed, 2019)The use of machine learning (ML) in smart building applications is reviewed in this article. We split existing solutions into two main classes: occupant-centric versus energy/devices-centric. The first class groups solutions ... -
Machine Learning for Spatio-Temporal Forecasting of Ambulance Demand: A Norwegian Case Study
(Master thesis, 2021)I akuttmedisinen opererer man ofte i en kamp mot klokken. Man må fordele tilgjengelige ressurser strategisk slik at man kan nå mennesker i nød på kortest mulig tid og redde liv. For å kunne posisjonere ambulanser strategisk ... -
Machine Learning in Financial Market Surveillance: A Survey
(Peer reviewed; Journal article, 2021)The use of machine learning for anomaly detection is a well-studied topic within various application domains. However, the detection problem for market surveillance remains challenging due to the lack of labeled data and ... -
Machine learning methods for sleep-wake classification using two body-worn accelerometers
(Master thesis, 2019)Søvn er en viktig faktor for beskytte en persons fysiske og mentale trivsel. Derfor utføres mange studier som fokuserer på forebygge, diagnostisere og behandle søvnforstyrrelser. En avgjørende del av disse studiene er ... -
Machine Translation in Low-Resource Languages by an Adversarial Neural Network
(Peer reviewed; Journal article, 2021)Existing Sequence-to-Sequence (Seq2Seq) Neural Machine Translation (NMT) shows strong capability with High-Resource Languages (HRLs). However, this approach poses serious challenges when processing Low-Resource Languages ... -
MagMAR. Collaborative, Mobile Augmented Reality supported game with player generated content.
(Master thesis, 2013)Playing games in the museums enabled teachers to engage young museum visitors in the museum experience more deeply and made the place seem more fun. Aim of these games is to encourage the young visitors to investigate the ... -
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification
(Master thesis, 2022)De siste årene har forskning vist at dype nevrale nettverk som brukes i bildeklassifiseringssystemer er sårbare mot fiendtlige angrep. I denne oppgaven utformer vi et umålrettet søkeeffektivt beslutningsbasert svart-boks ... -
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification
(Master thesis, 2022)De siste årene har forskning vist at dype nevrale nettverk som brukes i bildeklassifiseringssystemer er sårbare mot fiendtlige angrep. I denne oppgaven utformer vi et umålrettet søkeeffektivt beslutningsbasert svart-boks ... -
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification
(Chapter, 2022)Recent development has revealed that deep neural networks used in image classification systems are vulnerable to adversarial attacks. Thus, it is critical to understand the possible adversarial attacks to develop effective ... -
Magno: A Platform for Dyslexia Screening
(Master thesis, 2022)Dysleksi er ansett som en av de mest vanlige leseforstyrrelsene. Evnen til å oppdage dysleksi tidlig er kritisk for å kunne redusere de negative innvirkningene dysleksi kan ha. Det magnocellulære systemet virker å være ... -
Magno: An Application for Detection of Dyslexia - Dyslexia and Interface Design
(Master thesis, 2017)Dyslexia is a disability that has accumulated more and more attention over the latest years. Being able to detect dyslexia early on is vital for decreasing the negative effects dyslexia has on people diagnosed with this ... -
Magno: An Application for Detection of Dyslexia - From Native to Web App
(Master thesis, 2021)Dysleksi er en leseforstyrrelse som påvirker mange. Det magnocellulære systemet, ansvarlig for visuell bevegelsesoppfatning, synes svekket hos folk med dysleksi. En Java-applikasjon kalt Magno brukes til å teste individer ... -
Magno: An Application for Early Detection of Dyslexia - Implementing Role-Based Access Control and Enhancing Pupil Follow-Up
(Master thesis, 2023)Magno er et digitalt screeningsverktøy for dysleksi. Applikasjonens formål er å tilrettelegge for tidlig deteksjon av dysleksi, og dermed begrense de negative konsekvensene på enkeltpersoners akademiske prestasjoner og ... -
Magno: An Application for Early Detection of Dyslexia - Implementing Role-Based Access Control and Enhancing Pupil Follow-Up
(Master thesis, 2023)Magno er et digitalt screeningsverktøy for dysleksi. Applikasjonens formål er å tilrette- legge for tidlig deteksjon av dysleksi, og dermed begrense de negative konsekvensene på enkeltpersoners akademiske prestasjoner og ... -
MAIM: A Novel Island Based Evolutionary Classification Algorithm
(Master thesis, 2019)Immunsystemet er uten tvil et av naturens mest tilpasningsdyktige, distribuerte og selvorganiserende systemer. Det har egenskapen til å kunne gjenkjenne unormalheter, altså noe som avviker fra den vanlige regelen. Når ... -
MAIM: A Novel Island Based Evolutionary Classification Algorithm
(Master thesis, 2019)Immunsystemet er uten tvil et av naturens mest tilpasningsdyktige, distribuerte og selvorganiserende systemer. Det har egenskapen til å kunne gjenkjenne unormalheter, altså noe som avviker fra den vanlige regelen. Når ... -
Major gene expression changes and epigenetic remodelling in Nile tilapia muscle after just one generation of domestication
(Peer reviewed; Journal article, 2020)The historically recent domestication of fishes has been essential to meet the protein demands ofa growing human population. Selection for traits of interest during domestication is a complexprocess whose epigenetic basis ... -
Making Complex Ontologies End User Accessible via Ontology Projections
(Journal article; Peer reviewed, 2018)Ontologies are a powerful mechanism to structure domains of interest. They have successfully been applied in medical domain, industry and other important areas. Despite the simplicity of ontological vocabularies that consist ... -
Making IT Work in Practice Integrating the EPR-based nursing record with nursing work
(Doktoravhandlinger ved NTNU, 1503-8181; 2007:227, Doctoral thesis, 2007)The Norwegian healthcare sector, like the rest of the Western world, faces major challenges related to the need to coordinate work within and across institutional anddisciplinary boundaries. The main materialization of the ... -
Making sense of video analytics: Lessons learned from clickstream interactions, attitudes, and learning outcome in a video-assisted course
(Journal article; Peer reviewed, 2015)Online video lectures have been considered an instructional media for various pedagogic approaches, such as the flipped classroom and open online courses. In comparison to other instructional media, online video affords ...