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- 26Predictions
- 12Data mining
- 10Artificial intelligence
- 6Reinforcement learning
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- 5Wishart, D.S.
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 93Graduate and Postdoctoral Studies (GPS), Faculty of
- 93Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 11Biological Sciences, Department of
- 11Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 7Master of Science in Internetworking (MINT)
- 7Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
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Advances in Probabilistic Generative Models: Normalizing Flows, Multi-View Learning, and Linear Dynamical Systems
DownloadFall 2020
This thesis considers some aspects of generative models including my contributions in deep probabilistic generative architectures and linear dynamical systems. First, some advances in deep probabilistic generative models are contributed. Flow-based generative modelling is an emerging and highly...
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Alzheimer’s Dementia Detection Through Machine Learning: Analyzing Linguistic and Acoustic Features in Spontaneous Speech
DownloadFall 2023
With the rapid aging of the world’s population, the global burden of aging related mental disorders, such as Alzheimer’s dementia (AD), is also on the rise. Unfortunately global healthcare systems are vastly under-resourced, which means that many people who need mental health services are unable...
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2021-01-01
Automated hacking is a modern approach to conduct computer hacking with a significantly higher performance rate directly or remotely. Automated hacking is carried out by computer programs that are programmed to analyze the vulnerability of a system(s) and carry out hacking attacks based on the...
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Fall 2013
Industrial construction covers a wide range of projects including petroleum refineries, chemical and power plants, which involve several disciplines such as civil, mechanical, and electrical. Different trades often depend on scaffolds to access their work areas. Quantification of scaffold...
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Application of Machine Learning in the Big Data for Broiler Breeders Recorded by a Precision Feeding System
DownloadSpring 2021
A precision feeding (PF) system developed at the University of Alberta is an innovation in precise nutrition and management for broiler breeders. The PF system can automatically feed individual broiler breeders and record vast amounts of real-time data regarding the feeding activity of individual...
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Applying Machine Learning Techniques to Improving Truck Productivity Prediction Accuracy at Mine Sites
DownloadFall 2023
In oil sands mining, off-the-road trucks play a leading role in transporting bulk materials (ores and waste). The productivity of truck haulage (also referred to as truck productivity), defined as the truck payload per unit time in each truck haulage cycle, is of great interest to the mining...
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Fall 2011
With increasing software size and complexity, corrective software maintenance has become a challenging process. When a failure is reported, it takes time and expertise for human operators to collect the right information and pinpoint the root cause. Typically, the operators are overloaded with...