Blar i Institutt for datateknologi og informatikk på tittel
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Automated Salamander Recognition Using Deep Neural Networks and Feature Extraction
(Bachelor thesis, 2019)Hensikten med dette prosjektet er å utvikle et automatisert verktøy og metode som kan identifisere salamandere ved å bruke deres individspesifikke bukmønstre. Vi har undersøkt en rekke med forskjellige eksisterende metoder ... -
Automated salamander recognition using deep neural networks and feature extraction
(Journal article; Peer reviewed, 2019)This paper presents a study conducted to recognize salamanders by using their unique body markings based on images. The detection and matching of unique patterns in a salamander’s body can be complex due variability in ... -
Automated Techniques for estimating Customer Value and Causal Models of Customer Satisfaction
(Master thesis, 2009)In the competitive business environment of today, knowing which customers to target,and how, is essential for maximizing the return of the invested resources.In order to accomplish this we need a way of estimating who will ... -
Automated Testing in Journalism
(Master thesis, 2019)Digitale aviser er et voksende feonomen de siste tyve årene. Mediekonsern har skiftet fokus fra papiraviser til å ha moderne nettsider som presenterer nyheter. Å samle og behandle trafikkdata på hvilke artikler som har ... -
Automated tuning of MapReduce performance in Vespa Document Store
(Master thesis, 2007)MapReduce is a programming model for distributed processing, originally designed by Google Inc. It is designed to simplify the implementation and deployment of distributed programs. Vespa Document Store (VDS) is a distributed ... -
Automated verification of design adherence in software implementation
(Master thesis, 2007)Software design and architecture specify how a system should be implemented to achieve the required quality attributes. Being able to automatically verify the design adherence during implementation will continuously assure ... -
Automated well log depth matching: Late fusion multimodal deep learning
(Peer reviewed; Journal article, 2022)Petrophysical interpretation and optimal correlation extraction of different measurements require accurate well log depth matching. We have developed a supervised multimodal machine learning alternative for the task of ... -
Automatic Accompaniment Generation Using Generative Adversarial Networks
(Master thesis, 2020)Denne masteroppgaven presenterer forskning på bruken av generative adversarial networks bestående av recurrent neural networks til å generere akkompagnement for melodier, Gjennom en rekke eksperimenter ble arkitekturens ... -
Automatic adaptation of information in electronic patient records for patients
(Master thesis, 2006)In this work we present results of research, design and implementation of prototype system aimed at the task of automatically identifying and explaining difficult medical words in Electronic Patient Records. A patient ... -
Automatic Analysis and Presentation of Learning Resources
(Master thesis, 2016)This master thesis investigates how to make examples of student assignments searchable online, and hence better accessible. Dokker.no provides a platform where students can document their work, given a provided assignment. ... -
Automatic annotation of lecture videos for multimedia driven pedagogical platforms
(Peer reviewed; Journal article, 2016)Today’s eLearning websites are heavily loaded with multimedia contents, which are often unstructured, unedited, unsynchronized, and lack inter-links among different multimedia components. Hyperlinking different media ... -
Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography
(Peer reviewed; Journal article, 2024)We have developed a method to automatically assess LV function by measuring mitral annular plane systolic excursion (MAPSE) using artificial intelligence and transesophageal echocardiography (autoMAPSE). Our aim was to ... -
Automatic Classification of Bank Transactions
(Master thesis, 2017)This thesis describes implementations of several classification models to be used in a Norwegian bank transaction classification system. Our goal is to investigate which supervised machine learning methods are best suited ... -
Automatic Classification of Pro-Eating Disorder Twitter Accounts with Personality as a Feature
(Master thesis, 2019)En person eller en gruppe som anser spiseforstyrrelser som en livsstil, i stedet for en dødelig psykisk lidelse, omtales som å være pro-spiseforstyrrelse eller pro-ED (fra det engelske ordet pro-Eating Disorder). ... -
Automatic Classification of Pro-Eating Disorder Twitter Accounts with Personality as a Feature
(Master thesis, 2019)En person eller en gruppe som anser spiseforstyrrelser som en livsstil, i stedet for en dødelig psykisk lidelse, omtales som å være pro-spiseforstyrrelse eller pro-ED (fra det engelske ordet pro-Eating Disorder). ... -
Automatic data-driven design and 3D printing of custom ocular prostheses
(Journal article; Peer reviewed, 2024)Millions of people require custom ocular prostheses due to eye loss or congenital defects. The current fully manual manufacturing processes used by highly skilled ocularists are time-consuming with varying quality. Additive ... -
Automatic Detection and Fixing of XXE Vulnerabilities Using Static Source Code Analysis and Instance Tracking
(Master thesis, 2020)Programvaresikkerhet er en viktig del av ethvert moderne programvaresystem. XML External Entity angrep er en av de største sikkerhetsrisikoene for web applikasjoner, både i følge OWASP og MITRE. Et vellykket XML External ... -
Automatic Detection and Fixing of XXE Vulnerabilities Using Static Source Code Analysis and Instance Tracking
(Master thesis, 2020)Programvaresikkerhet er en viktig del av ethvert moderne programvaresystem. XML External Entity angrep er en av de største sikkerhetsrisikoene for web applikasjoner, både i følge OWASP og MITRE. Et vellykket XML External ...