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- 39Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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2021-09-01
Lately, technological advancement has made it possible with the accessibility of enormous annotated datasets and artificial intelligence breakthroughs to have sparked a spectacular rise of precise object recognition and analysis. This thesis specifies the development and implementation...
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Spring 2021
The number of childhood cancer survivors has dramatically increased in the past few decades due to advances in cancer treatment, shifting the priority from clinical treatment to improving long-term survivors’ quality of life. One late effect that greatly impacts female survivors is premature...
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Fall 2023
Learning only by direct interaction with the world can be expensive in many real world applications. In such settings, Model-based Reinforcement Learning (MBRL) methods are a promising avenue towards data-efficiency. By planning with a model, a sequential decision making agent can decrease its...
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Spring 2023
Five-year overall survival for gastric cancer in Canada is only 25%. Standard of care treatment using neoadjuvant chemotherapy and surgery achieves partial or complete treatment response in only 40% of patients. Additional strategies and methods to discover novel therapies and optimize existing...
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Spring 2024
Fire weather indices are used by fire management agencies around the world to estimate potential wildfire danger. This allows for resources to be allocated effectively and to warn communities of potential wildfire hazards. Currently, monitoring and short-term forecasting of fire weather depends...
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2023
Synthetic image generation using Generative Adversarial Networks (GANs) has emerged as a promising technique to address the challenge of limited datasets in the field of garbage classification. With supervised machine learning algorithms relying on labeled data and larger training examples, the...
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Triage narratives – exploring a widely collected but dramatically underexplored source of emergency department data
DownloadSpring 2023
Emergency departments (ED) around the globe rely on triage to sort which patients can wait safely for care when the demand for service outstrips the resources available. The triage process is typically performed by experienced emergency nurses and can be the earliest documented assessment for...
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Using Machine Learning and Keyword Analysis to Analyze Incident Reports and Reduce Risk in Oil Sands Operations
DownloadSpring 2020
Many companies maintain large databases of incident reports. Incidents that have severe consequences are analyzed in detail to prevent recurrence, while minor incidents are typically stored without any further evaluation. Especially with common incidents and those with lesser consequences,...
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Using Machine Learning to Understand the National Security Agency’s Data Surveillance Trends
DownloadFall 2021
For over six decades, the public has remained ignorant about the National Security Agency (NSA) and its activities and has been shielded from the agency’s invasive and unlawful projects. While the NSA’s activities have proven valuable to the United States and its allies, it sometimes undertakes...
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2019
Bangash, A.A., Sahar, H., Chowdhury, S., Wong, A.W., Hindle, Abram, Ali, K.
Machine learning, a branch of Artificial Intelligence, is now popular in software engineering community and is successfully used for problems like bug prediction, and software development effort estimation. Developers' understanding of machine learning, however, is not clear, and we require...