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machine learning
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Generative Argument Mining: Pretrained Language Models are Argumentative Text Parsers
Machine Learning-Based Drug-Drug Interaction Prediction Using Multi-Feature Analysis
Comparing Manifold-Constrained Gaussian Processes and Physics-Inspired Neural Networks...
Inferring force laws from many-body systems in dusty plasma by machine learning
Towards the Development of Machine Learning Models for Improving Health Outcomes for P...
Employing machine learning and high-throughput sequencing to uncover complex genetic a...
Algorithm Selection for Estimating Causal Effects: An example using the Nulliparous Pr...
Machine learning for estimating and comparing clinical rules for treating diarrheal il...
Feasibility of Predicting Rare Adverse Outcomes of Pregnancy Using Machine Learning: ...
Large scale neuronal type classification using graph neural networks
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Year
Spring 2021
5
2017
3
Fall 2024
3
Spring 2018
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Spring 2025
3
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Years
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School
Laney Graduate School
16
Emory College
9
Rollins School of Public Health
6
Department / Specialty
Computer Science and Informatics
5
Computer Science
4
Epidemiology
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Biological and Biomedical Sciences
2
Biostatistics
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Ph.D.
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B.S.
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PhD
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B.A.
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M.P.H.
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Dissertation
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Master's Thesis
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Computer Science
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Biology, Bioinformatics
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Applied Mathematics
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Artificial Intelligence
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Health Sciences, Public Health
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Committee
Agichtein, Eugene, Emory University
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Joyce Ho, Emory University
2
Lars Ruthotto, Emory University
2
Liang Zhao, Emory University
2
Phillip Wolff, Emory University
2
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Keyword
machine learning
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deep learning
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PM2.5
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Super Learner
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artificial intelligence
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