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.
Search
Skip to Search Results- 184Machine Learning
- 26Artificial Intelligence
- 23Reinforcement Learning
- 21Deep Learning
- 11Natural Language Processing
- 10Computer Vision
- 165Graduate and Postdoctoral Studies (GPS), Faculty of
- 165Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 8Computing Science, Department of
- 7Computing Science, Department of/Technical Reports (Computing Science)
- 2Chemical and Materials Engineering, Department of
- 2Biological Sciences, Department of
- 165Thesis
- 8Report
- 5Article (Published)
- 2Conference/Workshop Poster
- 2Research Material
- 1Article (Draft / Submitted)
-
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...
-
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...
-
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...
-
Fall 2024
Procedural Content Generation via Machine Learning (PCGML) faces a significant hurdle that sets it apart from other ML problems, such as image or text generation, which is limited annotated data. For example, many existing methods for level generation via machine learning specifically require a...
-
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...
-
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...
-
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...
-
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...
-
Learning to Partner: Exploring Real-Time Adaptive Feedback via Temporal-Difference Machine Learning for Improved Human-Prosthesis Collaboration
DownloadFall 2024
Modern myoelectric artificial limbs are sophisticated devices with many of the degrees of freedom of biological limbs. These devices have great potential to provide function for people with amputations, assisting them in participating in a greater number of activities and tasks of daily...
-
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...