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.
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LSTM Cluster: An Integrated Approach to Cluster Students' Problem Solving Sequences in Log Files
DownloadFall 2018
Modern technology-based assessments have the capacity to record every student-computer interaction in log files. Cluster analysis of log files could yield insights about students’ problem solving strategies and their misconceptions. However, current cluster analysis algorithms often rely on...
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Spring 2023
The intent of this thesis is to develop a high-performance open-source system that plans with a learned model and to understand the algorithm through extensive analysis. We formulate the problem of maximizing accumulated rewards in Markov Decision Processes, and we frame playing games as such...
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Predicting Uterine Deformation Due to Applicator Insertion in Pre-Brachytherapy MRI Using Deep Learning
DownloadSpring 2023
In locally advanced cervical cancer (LACC), brachytherapy (BT) remains the gold standard for boosting to curative doses in radiotherapy. Progress towards balancing target and routine tissue dosimetry for better clinical outcomes has been made possible by magnetic resonance imaging (MRI)-guided...
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Fall 2024
Distribution learning has long been a key area of research in computer vision. However, the potential of combining distribution learning with deep learning remains underexplored. To bridge this gap, this thesis discusses two proposed methods. The first, Differentiable Arithmetic Distribution...