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
- 165Machine Learning
- 22Artificial Intelligence
- 21Reinforcement Learning
- 20Deep Learning
- 11Natural Language Processing
- 10Computer Vision
- 2Jacobsen, Andrew
- 2Wen, Junfeng
- 1Aghaei, Nikoo
- 1Al Dallal, Ahmed
- 1Al-Masri, Mohammad
- 1Alam Anik, Md Tanvir
-
Fall 2021
The optimization of non-convex objective functions is a topic of central interest in machine learning. Remarkably, it has recently been shown that simple gradient-based optimization can achieve globally optimal solutions in important non-convex problems that arise in machine learning, including...
-
Spring 2021
It has gotten increasingly harder for laypersons to determine the veracity of online health information. This is because of the explosion of content in health social media, allowing anyone with an Internet connection to create and propagate health-related content. This includes both innocuous and...
-
Fall 2019
We present two provably optimal differentially private algorithms for the stochastic multi-arm bandit problem, as opposed to the private analogue of the UCB-algorithm (Mishra and Thakurta 2015; Tossou and Dimitrakakis 2016) which doesn’t meet the recently discovered lower-bound of Ω( K log(T) /...
-
Spring 2019
For many years, traditional boardgames such as Chess, Checkers or Go havebeen the standard environments to test new Artificial Intelligence (AI) algorithms for achieving robust game-playing agents capable of defeating the best human players. Presently, the focus has shifted...
-
Fall 2024
Perceptual factors in vision can facilitate the development of more effective multimedia algorithms. In particular, the wide dynamic range of the human vision system is a motivation for developing image lighting enhancement algorithms. Image lighting enhancement can be achieved by capturing...
-
Spring 2022
During the past 10 years, we have witnessed the proliferation of cloud computing services and their adoption in the industry. This rapid growth has been mainly due to economies of scale, improving resource utilization, infinite computing resources on demand, and pay per use cost model. However,...
-
Fall 2023
Krishna Guruvayur Sasikumar, Aakash
The application of reinforcement learning (RL) to the optimal control of building systems has gained traction in recent years as it can reduce building energy consumption and improve human comfort, without requiring the knowledge of the building model. However, existing RL solutions for building...
-
Spring 2023
For more than 70 years, chemists have used Nuclear Magnetic Resonance (NMR) spectroscopy to characterize the atomic structure and dynamics of molecules. Key to performing the NMR analysis of almost any molecule is a process called “chemical shift assignment”. This involves matching specific peaks...
-
Prioritizing Labour Productivity Improvement Strategies by Integrating Hybrid Feature Selection, Fuzzy Multi-Criteria Decision-Making, and Fuzzy Cognitive Maps
DownloadFall 2021
Construction labour productivity (CLP), as a key performance index in the construction sector, is affected by various factors such as crew motivation and working conditions that are highly interconnected and vary on a project-by-project basis. CLP can be enhanced by properly practicing...
-
Spring 2013
This work introduces the “online probing” problem: In each round, the learner is able to purchase the values of a subset of features for the current instance. After the learner uses this information to produce a prediction for this instance, it then has the option of paying for seeing the full...