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Program of Study: Computational Mathematics, Science and Engineering - Doctor of Philosophy
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Electronic Theses & Dissertations
33
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Theses
33
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English
33
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Towards Post-Hoc Human-Interpretability of Multimodal Neural Networks for Healthcare Applications
Azmat, Muneeza
Text (2023)
Part of
Electronic Theses & Dissertations
Active Learning in Genetic Programming
Haut, Nathan
Text (2023)
Part of
Electronic Theses & Dissertations
Network biology powered by graph deep learning : Understanding the molecular basis of human genetics
Liu, Renming
Text (2024)
Part of
Electronic Theses & Dissertations
Seismic studies of western Pacific subduction zones with high-performance computing and deep learning
Xi, Ziyi
Text (2024)
Part of
Electronic Theses & Dissertations
Topological Data Analysis Driven Feature Generation in Machine Learning Models
Barnes, Danielle
Text (2024)
Part of
Electronic Theses & Dissertations
Exploring low-rank prior in high-dimensional data
Lyu, He
Text (2023)
Part of
Electronic Theses & Dissertations
DATA, MACHINE LEARNING, AND POLICY INFORMED AGENT-BASED MODELING
Butts, David J.
Text (2024)
Part of
Electronic Theses & Dissertations
HIGH RECALL DEEP LEARNING METHODS FOR PEDIATRIC RIB FRACTURE DETECTION
Burkow, Jonathan
Text (2024)
Part of
Electronic Theses & Dissertations
Exploring the mathematical shape of plants
Am̌zquita, Erik J.
Text (2023)
Part of
Electronic Theses & Dissertations
Computational methods for non-ideal plasmas
Stanek, Lucas J.
Text (2022)
Part of
Electronic Theses & Dissertations
Leveraging Topological Structure of Data for Applications of Deep Learning
McGuire, Sarah
Text (2024)
Part of
Electronic Theses & Dissertations
INTEGRATIVE LEARNING OF CELLULAR SYSTEMS AND NETWORKS
Venegas, Julian D.
Text (2024)
Part of
Electronic Theses & Dissertations
DATA-DRIVEN COMPUTATIONAL APPROACHES TO UNRAVEL AND INTERPRET THE POLYGENIC ARCHITECTURE OF HUMAN COMPLEX TRAITS AND DISEASES
McKim, Alexander Patrick
Text (2024)
Part of
Electronic Theses & Dissertations
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