This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 83Machine Learning
- 76Reinforcement Learning
- 42Artificial Intelligence
- 37Machine learning
- 24Natural Language Processing
- 23reinforcement learning
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Fall 2023
Recurrent Neural Networks (RNNs) are typically used to learn representations in partially observable environments. Unfortunately, training RNNs is known to be difficult, and the difficulty increases for agents who learn online and continually interact with the environment. Two common strategies...
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Spring 2015
There is considerable research work going on segmentation of RGB-D clouds due its applications in tasks like scene understanding, robotics etc. The availability of inexpensive and easy to use RGB-D cameras and computational capabilities of GPUs has lead to development of numerous applications in...
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Spring 2018
Hosseinzadeh Heydarabad,Sepideh
In this work we address the problem of fast shadow detection from single images of natural scenes. Different from traditional methods that employ expensive optimization methods, we propose a fast semantic-aware Convolutional Neural Network learning framework which trains on different kinds of...
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Fall 2013
This thesis considers the problem of visualizing simulations of phenomenon which span large ranges of spatial scales. These datasets tend to be extremely large presenting challenges both to human comprehension and high-performance computing. The main problems considered are how to effectively...
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Fall 2015
Free Viewpoint Video and TV is regarded as the future of digital entertainment allowing users to navigate through multiple video streams of an event to select novel viewpoints. This new capability will be able to give to the users the illusion that they are present at the event. In this thesis,...
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Fall 2024
Computers have emerged as an invaluable tool in exploring building interior configurations, before committing to a particular layout. Building Information Modeling (BIM) enables designers to create digital representations of alternative interior arrangements and supports computer-automated...
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Reciprocal Recommendation System and Formation of Learning Groups in Massive Open Online Courses (MOOCs)
DownloadSpring 2017
Online learning is an emerging education technology area with increasing demands. Massive open online courses (MOOCs) is one such platform where users with completely different backgrounds subscribe to various courses on offer. However, oftentimes these users are hesitant to approach other users...