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Developing Machine Learning Models with Heterogeneous Data for Biological Engineering Applications
Li, Xinmeng.
2022
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Description
Thesis (Ph.D.)--Tufts University, 2022.
Submitted to the Dept. of Computer Science.
Advisor: Soha Hassoun.
Committee: Liping Liu, Michael Hughes, Yushan Lin, and Jennifer Wei.
Keyword: Computer science.
This object is in collection
Theses and Dissertations
Graduate School of Arts and Sciences Scholarship
Creator department
Tufts University. Department of Computer Science.
Thesis Type
Doctoral
Subject
Machine learning
Deep learning (Machine learning)
Biology--Data processing
Genre
Tufts dissertations and theses.
Academic theses.
Permanent URL
http://hdl.handle.net/10427/G732DR11P
ID:
g732dr11p
To Cite:
TARC Citation Guide
EndNote