Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på emneord "Datateknologi, Kunstig intelligens"
Viser treff 1-20 av 55
-
A Continuous Approach to Controllable Text Generation using Generative Adversarial Networks
(Master thesis, 2017)The challenges of training generative adversarial network (GAN) to produce discrete tokens, have seen a considerable amount of work in the past year. However, the amount of successful work on applying deep generative models ... -
A Deep Learning Ensemble Approach to Gender Identification of Tweet Authors
(Master thesis, 2017)Author profiling is a field within Natural Language Processing, in addition to being a sub-field of the broader research area concerning authorship analysis. It aims to classify personal traits of authors, such as gender ... -
A Dual-Stream Deep Learning Architecture for Action Recognition in Salmon from Underwater Video.
(Master thesis, 2017)Over half of the costs from breeding salmon in the Norwegian salmon farming industry comes from feed usage. Today the feeding process is largely a manual labor, requiring an operator to monitor the amount of feed sinking ... -
A machine learning approach for jaundice detection using color corrected smartphone images
(Master thesis, 2018)Neonatal jaundice and the associated yellow skin discoloration is caused by hyperbilirubinemia, a condition in which there is too much bilirubin in the blood. In 2010, the failure to treat jaundice resulted in 114,000 ... -
A Shallow Neural Network Architecture for Native Language Identification
(Master thesis, 2018)This thesis looks at using Multilayer Perceptron (MLP) classifiers for Native Language Identification both on their own and as part of an ensemble classifier. This approach has been used less than more traditional statistical ... -
Active One-shot Learning with Memory-Augmented Neural Networks
(Master thesis, 2018)This thesis aims at learning an Active Learning agent for one-shot predictions of texts and images via Reinforcement Learning. There are three different models being implemented, where the baseline is a LSTM network, and ... -
Activity Recognition for Stroke Patients
(Master thesis, 2017)Stroke is a disruption in the blood flow to the brain which may lead to a death of brain cells. More than 12000 Norwegians experience a stroke each year. Survivors often suffer lasting movement disabilities, which affect ... -
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 License Plate Recognition using Deep Learning Techniques
(Master thesis, 2017)Context: Automatic license plate recognition (ALPR) is used in many domains, such as parking, border control and motorway road tolling. Its importance has increased the recent years, with many new applications. High ... -
Beating the bookmakers - Using artificial neural networks to profit from football betting
(Master thesis, 2017)Artificial Neural Networks (ANNs) have throughout the years been used for several different purposes. Problems spanning from image classification to text generation have all been subject to ANNs. In this report, ANNs were ... -
Brand sentiment analysis of the Norwegian banking sector
(Master thesis, 2017)For the last two decades, the world wide web has become a social arena where people can express themselves. People write opinionated texts on social media towards various targets, which is read by other people. The readers ... -
Building a platform for exploring and visualizing deep convolutional networks
(Master thesis, 2018)Deep artificial neural networks are showing a lot of promise when it comes to tasks involving images, such as object recognition and image classification. In recent years, there has been a steady increase in computing ... -
Classification of Marine Vessels using Sonar Data and a Neural Network
(Master thesis, 2017)A submarine navigator have to keep track of surrounding ships in order to avoid collision and to gain a tactical advantage. This is currently done manually by a sonar operator, trained to listen through the water and ... -
Combining Evolutionary Algorithms and Language Games to Simulate Language Emergence
(Master thesis, 2017)This thesis is focused on naming games and other language games and how they can be used to simulate the emergence of human languages. One specific naming game model proposed in the literature is reviewed and examined in ... -
Computational Linguistic Creativity: Poetry generation given visual input
(Master thesis, 2017)In this Thesis, a system capable of generating poetry from images was designed and implemented. The implementation was then used to generate 153 stanzas. The system includes a CNN for object classification, a module to ... -
Contributions to centralized dynamic channel allocation reinforcement learning agents
(Master thesis, 2018)We introduce a domain-specific policy improvement operator for reassigning channels during call hand-offs with the intent of reducing hand-off blocking probability. We construct an RL agent for maximizing average grid ... -
Creative Behaviour in Evolving Agents
(Master thesis, 2017)Computational creativity is a field of research that is primarily focused on music composition, art and linguistics. However, research pertaining to computational creative behaviour is sparse. There is no clear, established ... -
Data Analytics for HUNT: Recognition of Physical Activity on Sensor Data Streams
(Master thesis, 2018)Human Activity Recognition (HAR) is the field of recognizing activities by analyzing measurements of a subject s movement and environment. A major application of HAR systems is medical research. Th e Nord-Trøndelag Health ... -
Deep Detection of Hate Speech in Text Through a Two-Pronged Approach
(Master thesis, 2018)With the widespread use of online services like Facebook and Twitter, disseminating hateful messages has become a simple matter. These messages not only spoil the experience for other users of a service. There is also an ... -
Deep Reinforcement Learning for Gripper Vector Estimation
(Master thesis, 2018)The problem of gripper vector estimation, also referred to as gripper pose estimation, is the problem of constructing a vector describing the pose of the end-effector of a robotic gripper, which enables it to grasp an ...