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- 144Graduate and Postdoctoral Studies (GPS), Faculty of
- 144Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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- 7Computing Science, Department of/Technical Reports (Computing Science)
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- 144Thesis
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- 4Article (Published)
- 1Article (Draft / Submitted)
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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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Intelligent Parkinson's Disease Classification and Progress Monitoring using Non-invasive Techniques
DownloadSpring 2020
Parkinson's disease (PD) is the second major neuro-degenerative disorder caused by dopaminergic loss in the brain region known as the Substantia Nigra (SN). The major symptoms of this disease are motor and non-motor abnormalities, which may show at early stages of PD. Physical exam, demographic...
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Spring 2022
Can AI-driven robots replace sports officials and rehabilitation physicians in assessing the quality of human activities? An AI judging panel can attend to every nuance of an athlete’s performance and bring more just and agility in scoring. The subjectivity of the judging will be removed and no...
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Interrelating Prediction and Control Objectives in Episodic Actor-Critic Reinforcement Learning
DownloadFall 2020
The reinforcement learning framework provides a simple way to study computational intelligence as the interaction between an agent and an environment. The goal of an agent is to accrue as much reward as possible by intelligently choosing actions given states. This problem of finding a policy that...
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Investigations of interactions between membrane and PEI/siRNA nanoparticles and their implication for non-viral gene delivery
DownloadSpring 2021
Cell entry of polynucleotide-based therapeutic agents can be promoted by nanoparticle (NP) mediated delivery. This dissertation investigates membrane penetration of polynucleotide NPs, using mainly computational approaches, accompanied by some experiments. Major emphasis was placed on...
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Spring 2011
Standard survival analysis focuses on population-based studies. The objective of our work, survival prediction, is different: to find the most accurate model for predicting the survival times for each individual patient. We view this as a regression problem, where we try to map the features for...
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Learning Deep Representations, Embeddings and Codes from the Pixel Level of Natural and Medical Images
DownloadFall 2013
Significant research has gone into engineering representations that can identify high-level semantic structure in images, such as objects, people, events and scenes. Recently there has been a shift towards learning representations of images either on top of dense features or directly from the...
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Fall 2023
This is a comprehensive examination of the diagnostic landscape in psychiatry and the role precision psychiatry might play in redefining how we classify illnesses. This thesis delves into three areas that currently exist in psychiatry today and is divided into five chapters. The first and second...
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Spring 2020
In the field of metabolomics, mass spectrometry (MS) is the most widely adopted method for identifying metabolites. Conventionally, metabolite identification involves matching the target mass spectrum against experimentally acquired reference mass spectral libraries. However, the limited coverage...
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Fall 2023
Of all the capabilities of natural intelligence, one of the most exceptional is the ability to expand upon and refine knowledge of the world through subjective experience. Therefore, a longstanding goal of Artificial Intelligence has been to replicate this success: to enable artificial agents to...