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Interpretability
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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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Year
Spring 2023
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School
Laney Graduate School
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Department
Biostatistics
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Degree
Ph.D.
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Submission Type
Dissertation
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Research Field
Computer Science
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Statistics
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Committee
Abeed Sarker, Emory University
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Benjamin Risk, Emory University
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David Benkeser, Emory University
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Razieh Nabi, Emory University
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Keyword
Causal Inference
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Heterogeneous Treatment Effects
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Interpretability
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Machine Learning
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Model Evaluation
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