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Vigfusson, Ymir, Emory University
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Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance
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Deriving a Metric to Compare Solutions of Malarial Strain Identification Problems and Performing Network Analysis of Disease Outbreaks Across Time
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Year
Spring 2018
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Spring 2022
1
School
Emory College
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Department / Specialty
Mathematics and Computer Science
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Quantitative Science
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Degree
B.S.
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Submission Type
Honors Thesis
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Research Field
Applied Mathematics
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Computer Science
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Committee
Vigfusson, Ymir, Emory University
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2
An, Weihua, Emory University
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Ettinger, Bree, Emory University
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Jacobson, Jeremy, Emory University
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Yang, Carl, Emory University
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Keyword
Deep Learning
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Disease Monitoring
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Dynamic Network
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Graph Mining
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Network Anomaly Detection
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