Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på emneord "Datateknologi (2 årig), Kunstig intelligens"
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Adaptive Intrusion Detection - Using Machine Learning in the Context of Intrusion Detection Systems
(Master thesis, 2016)-This report covers an initial foray in applying a number of machine learn- ing algorithms to the problem of classifying labeled network traffic flows in the ISCX IDS data set. The ISCX data set was developed by the ... -
Adaptive learning based on cognitive load using artificial intelligence and electroencephalography
(Master thesis, 2017)The domains of artificial intelligence and cognitive sciences have not been properly explored within instructional design and learning systems, despite being optimistic in their positive effects when utilized correctly in ... -
Attention Mechanisms in Hierarchical Session-Based Recommendation
(Master thesis, 2018)The use of attention mechanisms in different applications of recurrent neural networks has yielded significantly higher accuracies, but their use in session-based recommender systems is largely unexplored. In addition to ... -
CBR for road conditions on Norwegian alpine roads
(Master thesis, 2017)This study s objective was to investigate various improvements to and the generali-zation of an existing CBR system for road conditions. Results indicate a slight per-formance improvement from using k-nearest neighbors ... -
Computer generated art based on musical input
(Master thesis, 2017)This thesis explores computer-generated art based on musical input. The computer-generated art gives an end-user support in various life domains, which impose various aesthetic, artificial intelligence and software engineering ... -
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 ... -
Curriculum Learning for agents in pixel based 3D Environments
(Master thesis, 2017)This thesis explores Curriculum Learning in Deep-RL. The focus is on VizDoom, an 3D environment with pixels as state representation. Two new curriculum methods are proposed. One simplifies the frames by using image processing ... -
Data Efficient Deep Reinforcement Learning through Model-Based Intrinsic Motivation
(Master thesis, 2017)In the last few years we have experienced great advances in the field of reinforcement learning (RL), much thanks to deep learning. By introducing deep neural networks in RL it is possible to have agents learn complex ... -
Decoupling deep learning and reinforcement learning for stable and efficient deep policy gradient algorithms
(Master thesis, 2017)This thesis explores the exciting new field of deep reinforcement learning (Deep RL). This field combines well known reinforcement learning algorithms with newly developed deep learning algorithms. With Deep RL it is ... -
Deep Reinforcement Learning and Generative Adversarial Networks for Abstractive Text Summarization
(Master thesis, 2018)News articles, papers and encyclopedias, among other texts can be time-consuming to digest. Often, you are not interested in reading all the material, but only some of it. Summaries can be useful to get a grasp of what ... -
Digitalisering av trygghetsalarmer i Trondheim kommune
(Master thesis, 2017)Det norske helsevesenet står ovenfor store utfordringer de kommende årene. Med den nåværende befolkningsveksten og ikke minst befolkningssammensetning i de kommende årene blir vi flere pensjonister som kommer til å trenge ... -
Domain general Active Learning strategies using inter-sample similarity and Reinforcement Learning
(Master thesis, 2018)One of the major drawbacks of deep learning is the amount of labeled training data required in order to reach acceptable performance. This labeled data may be difficult and expensive to obtain. The goal of active learning ... -
Face Recognition for Access Control Using Deep Neural Networks on Mobile Devices
(Master thesis, 2018)The Telenor-NTNU AI Lab would like to use facial detection as access control for their Lab. A proposed way of doing this is to mount a mobile device, like a tablet, outside the lab and run a facial recognition application ... -
Handling Autonomous Robot Scheduling as an Optimization Problem
(Master thesis, 2016)This dissertation investigates the possibility to model the behavior of an agent solving a complex robotic scheduling task, mission 7a of the International Aerial Robotics Competition, as an optimization problem known as ... -
K-Anonymity as a Service for Mobility Analytics - Optimizing the value of k in case of k-anonymity
(Master thesis, 2018)The mobile network operators collect data from mobile communication networks about their users. The data collected is referred to as mobility data and contains the user's spatial positions within the network over time. A ... -
Lazy Learned Screening for Efficient Recruitment - A Candidate Ranking System using Case Based Reasoning and Semantic Data Models
(Master thesis, 2018)The transition from traditional paper based systems for recruitment over to the internet has resulted companies in getting a lot more applications. A majority of these applications are often unstructured documents sent ... -
Mobile User Interface for a patient-centered health care application
(Master thesis, 2017)Low back pain is a prevalent issue in the developed world as people adopt a more sedentary lifestyle. This thesis gives insight to available interactive health communication applications for self-managing non-specific low ...