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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
- 37Zaiane, Osmar (Computing Science)
- 2Goebel, Randy (Computing Science)
- 1Bolduc, Francois (Pediatrics)
- 1Gross, Douglas (Physical Therapy)
- 1Günther, Johannes (Computing Science)
- 1Hu, Bryan (Electrical and Computer Engineering)
- 2Dziri, Nouha
- 1Abnar, Afra
- 1Adilmagambetov, Aibek
- 1Ahmed, Farrukh
- 1Alam Anik, Md Tanvir
- 1Austin, Eric
- 8Machine Learning
- 6Natural Language Processing
- 3Associative Classification
- 2Association Rules
- 2Community Detection
- 2Community Mining
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Spring 2021
This thesis investigates the use of general value functions for detecting anomalous behavior in machines. Identifying abnormal behavior is critical for ensuring the safety and reliability of any machine or industrial process. When the cause of these anomalies is due to accumulated wear on...
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Spring 2023
This thesis describes the design of a system that is capable of the generation of a Knowledge Graph (KG), referred to as Knowledge Graph Population (KGP), from conversations, specifically with elderly people. While this system still follows a traditional KGP approach with Entity Recognition (ER),...
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Fall 2012
Selecting appropriate rehabilitation treatments for injured workers has been a challenging task for clinicians and health care funders. Currently, clinicians are unable to identify the optimal treatment for a patient with absolute confidence and are looking for assistance from other research...
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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...
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Fall 2015
Polarity classification in text is the problem of automatically detecting the general opinion of textual data. Analyzing the general opinion toward a topic of interest is important for different audiences, such as companies, politicians or even regular users. On the other hand, the availability of...
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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...
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Fall 2022
The rise of Deep Learning (DL) and its assistance in learning complex feature representations significantly impacted Reinforcement Learning (RL). Deep Reinforcement Learning (DRL) made it possible to apply RL to complex real-world problems and even achieve human-level performance. One of these...
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Fall 2018
Conversation plays a key role in maintaining humans well-being. It constitutes the most natural way of interacting verbally with each other. Over the past decade, dialogue systems have become omnipresent in our daily lives, assisting our daily schedule and routine. Recently, the emergence of...
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Statistically Significant Dependencies for Spatial Co-location Pattern Mining and Classification Association Rule Discovery
DownloadFall 2014
Spatial co-location pattern mining and classification association rule discovery are two canonical tasks studied in the data mining community. Both of them focus on the detection of sets of features that show associations. The difference is that in spatial co-location pattern mining, the features...
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Spring 2014
All along their lives, individuals take roles in their interactions with each other. This behaviour is known as the role-taking characteristic of human beings. We refer to these roles as social roles that are the primary components of societies. Identifying social roles in a society helps to...