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Towards a Label-Free and Representation-Based Metric for Evaluating Machine Learning Models
(2022-08-04)
In this work, we explore the viability of proposed label-free metrics to evaluate
models. We begin by examining the effect on linear probe accuracy which different
viable label schemes on an identical dataset may cause. ...
Multi-Modal Consensus Clustering to Identify Phenotypes of Kidney Transplant Donors and Recipients and Their Association With Survival
(2022-11-18)
Kidney transplantation is an essential treatment option for individuals diagnosed with End-stage renal disease (ESRD). Being able to predict the survival of the transplant and the outcome of the recipient is an important ...
Identifying Factors Influencing Electronic Gaming Machine Player Behavior Using Interpretable AI and Mimicking Player Behavior Using Reinforcement Learning
(2022-12-06)
People in venues like casinos play games on Electronic Gaming Machines (EGMs). These machines do not record information about players, such as their playing experience. The gaming industry is keen on learning about the ...
Characterization of Business Establishments and Commercial Vehicle Movements Utilizing Machine Learning Techniques in Halifax, Canada
(2024-04-15)
This thesis develops a commercial vehicle travel demand forecasting model. First, it characterizes business establishments to investigate the agglomeration of businesses. Next, it develops location choice models for five ...