Index Catalog // Emory Theses and Dissertations

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Filtering by: Department Quantitative Science Research Field Computer Science

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1. Transcriptomic Changes in Fontan Surgery Sheep Models and a Novel miRNA-mRNA Interaction Analysis

Student Name:: Yang, Evan
Date Uploaded:: 04/10/2024
Research Field:: Biology, Biostatistics, Computer Science, and Biology, Bioinformatics
Department:: Quantitative Science

2. A Comprehensive Pipeline for Reliable Multi-Animal Position Tracking During Mouse Social Interactions

Student Name:: Feng, Jifan
Date Uploaded:: 04/10/2024
Research Field:: Computer Science and Biology, Neuroscience
Department:: Quantitative Science

3. The Emora College Companion: A Socialbot for College Students

Student Name:: Calvino Pintado, Camila
Date Uploaded:: 04/10/2023
Research Field:: Computer Science and Language, Linguistics
Department:: Quantitative Science

4. Analysis of Temporal Relations in Various Types of Text Data

Student Name:: Chen, Yingying
Date Uploaded:: 04/13/2022
Research Field:: Language, Linguistics and Computer Science
Department:: Quantitative Science

5. GENDER BIAS IN CHILDREN’S BOOKS: how did the 19th century children’s literature represent gender?

Student Name:: Song, Mina
Date Uploaded:: 04/12/2022
Research Field:: Women's Studies, Computer Science, and Statistics
Department:: Quantitative Science

6. Enriching and Evaluating Meaning Representations

Student Name:: Ji, Yuxin
Date Uploaded:: 04/10/2022
Research Field:: Language, Linguistics and Computer Science
Department:: Quantitative Science

7. Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance

Student Name:: Song, Hongwen
Date Uploaded:: 12/01/2021
Research Field:: Computer Science
Department:: Quantitative Science

8. Red Feed vs. Blue Feed: Differences in COVID-19 Digital News Coverage based on Partisan Lean

Student Name:: Fan, Alex
Date Uploaded:: 04/13/2021
Research Field:: Statistics, Political Science, General, and Computer Science
Department:: Quantitative Science

9. Sentiment-based Open-domain Event Detection for COVID-19

Student Name:: Hu, Xinyi
Date Uploaded:: 03/31/2021
Research Field:: Statistics, Computer Science, and Sociology, Theory and Methods
Department:: Quantitative Science