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2021-08-01
Irene Olayinka, Calarina Muslimani, Dr. Matthew Taylor
Although this report deals with the mechanisms of artificially intelligent rather than intelligence agents, the former is no less a subject of fascination. My research centred around an algorithm called Training an Agent Manually via Evaluative Reinforcement (TAMER), which incorporates human...
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2021-04-29
Recent controversies in Canadian librarianship—the Toronto Public Library room rental to a "gender-critical feminist" group and the institution of “airport-style” security at the Winnipeg Public Library—have exposed divisions within the profession. This article attempts to untangle the...
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2023
Chat-bots could be considered as one of widely used technologies since it increases the business efficiency and throughput. Proposed project is to develop a web based chat-bot that is capable of booking appointments via the website Telecare Plus. Machine learning techniques are used to provide an...
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Computational psychiatry: machine learning for clinical decision support in the treatment of major depression
DownloadFall 2019
The goal of this thesis is to contribute to the fields of data-driven medicine and computational psychiatry by attempting to demonstrate the viability of machine learning for use in psychiatry, specifically in predicting treatment outcomes for major depression. This is attempted in four ways: ...
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Fall 2022
In recent years, conversational agents have been widely used in education to support student learning. Conversational agents have the capability to enhance learning by improving interaction, motivation, feedback, and personalization. To date, researchers have designed and used different types of...
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Spring 2020
Several Artificial Intelligence (AI) techniques such as machine learning, evolutionary computing, and Artificial Life (A-life) have been increasingly used to generate emergence of novel behaviours in multi-agent simulations (e.g., commercial games). However, automatically detecting emergent...
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Spring 2021
Temporal difference (TD) methods provide a powerful means of learning to make predictions in an online, model-free, and highly scalable manner. In the reinforcement learning (RL) framework, we formalize these prediction targets in terms of a (possibly discounted) sum of rewards, called the...
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From Adaptive Testing to Personalized Adaptive Testing: Applications of Machine Learning Algorithms
Download2022-11-03
Invited talk given at the Twentieth Annual MARC Virtual Conference on November 3, 2022.
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Fall 2018
The objective of this work is to design a scheme to control the power flow of a hybrid renewable energy system with multiple renewable energy sources with the focus on solar energy and wind energy and multiple energy storage systems. The use of energy storage is necessary due to the intermittency...
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2019-04-01
Public access to government information forms the foundation of a healthy liberal democracy, but because this information can be precarious, it needs stewardship. Government Information in Canada provides analysis about the state of Canadian government information publishing. Practitioners from...