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1.
Visual Speech Perception of Arabic Emphatics and Gutturals
by Foster, Maha Saliba, Ph.D.  University of Colorado at Boulder. 2016: 170 pages; 10151052.
2.
Tactic-Based Learning for collective learning systems
by Armstrong, Alice, D.Sc.  The George Washington University. 2008: 320 pages; 3304083.
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4.
Representation Learning for Text: Transfer Learning, Decomposition, and Bias in Neural Networks
by Romanov, Alexey, Ph.D.  University of Massachusetts Lowell. 2019: 103 pages; 22624438.
5.
Algorithms for Interactive Machine Learning
by Poulis, Stefanos, Ph.D.  University of California, San Diego. 2019: 148 pages; 27542873.
6.
Machine Learning in Neuroimaging
by Punugu, Venkatapavani Pallavi, M.S.  State University of New York at Buffalo. 2017: 41 pages; 10284048.
7.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
8.
Optimizing Machine Translation by Learning to Search
by Galron, Daniel, Ph.D.  New York University. 2012: 218 pages; 3546405.
9.
The Human Learning Machine: Rational Constructivist Models of Conceptual Development
by Mollica, Francis, Ph.D.  University of Rochester. 2019: 222 pages; 22589492.
10.
Learning Neural Representations that Support Efficient Reinforcement Learning
by Stachenfeld, Kimberly, Ph.D.  Princeton University. 2018: 155 pages; 10824319.
11.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
12.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
13.
Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
14.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
15.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
16.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
17.
Modernizing Check Fraud Detection with Machine Learning
by Rose, Lydia M., M.S.  Utica College. 2018: 64 pages; 13421455.
18.
A Machine Learning Approach to Genome Assessment
by Thrash, Charles Adam, Ph.D.  Mississippi State University. 2019: 104 pages; 22583353.
19.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
20.
A Comparison of Variance and Renyi's Entropy with Application to Machine Learning
by Peccarelli, Adric M., M.S.  Northern Illinois University. 2017: 38 pages; 10603911.
21.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
22.
Structure Prediction and Variant Interpretation of Membrane Proteins Aided by Machine Learning Algorithms
by Li, Bian, Ph.D.  Vanderbilt University. 2018: 192 pages; 13917125.
23.
Driver drowsiness detection using ECG integrated with machine learning
by Solanki, Khantil N., M.S.  California State University, Long Beach. 2017: 84 pages; 10263492.
24.
A Machine Learning Approach to Quantifying Likely Locations of Gas and Gas Hydrate Accumulation
by Runyan, Taylor E., M.S.  University of Louisiana at Lafayette. 2017: 55 pages; 10268964.
25.
Implementing Machine Learning Algorithms for Identifying Microstructure of Materials
by Shah, Niyati S., M.S.  California State University, Long Beach. 2018: 41 pages; 10837912.
26.
Classification of Placental Chorionic Surface Vasculature Network Features Using Machine Learning Techniques
by Hambarsoomian, Hike, M.S.  California State University, Long Beach. 2017: 50 pages; 10603969.
28.
Machine learning for the automatic detection of anomalous events
by Fisher, Wendy D., Ph.D.  Colorado School of Mines. 2017: 173 pages; 10258193.
29.
An Approach to the Solution of Inverse Problem Using Unsupervised Machine Learning
by Dixit, Surabhi, M.S.  California State University, Long Beach. 2018: 64 pages; 10752219.
30.
Machine Learning and Cellular Automata: Applications in Modeling Dynamic Change in Urban Environments
by Curtis, Brian J., D.Engr.  The George Washington University. 2018: 84 pages; 10785215.
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