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1.
Tactic-Based Learning for collective learning systems
by Armstrong, Alice, D.Sc.  The George Washington University. 2008: 320 pages; 3304083.
2.
Visual Speech Perception of Arabic Emphatics and Gutturals
by Foster, Maha Saliba, Ph.D.  University of Colorado at Boulder. 2016: 170 pages; 10151052.
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Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
5.
Machine Learning in Neuroimaging
by Punugu, Venkatapavani Pallavi, M.S.  State University of New York at Buffalo. 2017: 41 pages; 10284048.
6.
The Human Learning Machine: Rational Constructivist Models of Conceptual Development
by Mollica, Francis, Ph.D.  University of Rochester. 2019: 222 pages; 22589492.
7.
Learning Neural Representations that Support Efficient Reinforcement Learning
by Stachenfeld, Kimberly, Ph.D.  Princeton University. 2018: 155 pages; 10824319.
8.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
9.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
10.
A Machine Learning Approach to Genome Assessment
by Thrash, Charles Adam, Ph.D.  Mississippi State University. 2019: 104 pages; 22583353.
11.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
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Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
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Modernizing Check Fraud Detection with Machine Learning
by Rose, Lydia M., M.S.  Utica College. 2018: 64 pages; 13421455.
14.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
15.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
16.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
17.
Optimizing Machine Translation by Learning to Search
by Galron, Daniel, Ph.D.  New York University. 2012: 218 pages; 3546405.
18.
Optimal Subset Selection for Causal Inference Using Machine Learning and Particle Swarm Optimization
by Sharma, Dhruv, D.Engr.  The George Washington University. 2018: 132 pages; 10928545.
19.
Machine learning challenges for automated prompting in smart homes
by Das, Barnan, Ph.D.  Washington State University. 2014: 236 pages; 3640007.
20.
Machine Learning for the Automated Identification of Cyberbullying and Cyberharassment
by Ducharme, Daniel N., Ph.D.  University of Rhode Island. 2017: 145 pages; 10259474.
21.
Structure Prediction and Variant Interpretation of Membrane Proteins Aided by Machine Learning Algorithms
by Li, Bian, Ph.D.  Vanderbilt University. 2018: 192 pages; 13917125.
22.
Driver drowsiness detection using ECG integrated with machine learning
by Solanki, Khantil N., M.S.  California State University, Long Beach. 2017: 84 pages; 10263492.
23.
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.
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Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
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Machine learning for the automatic detection of anomalous events
by Fisher, Wendy D., Ph.D.  Colorado School of Mines. 2017: 173 pages; 10258193.
27.
An efficient approach to machine learning based text classification through distributed computing
by Immaneni, Raghu Nandan, M.S.  California State University, Long Beach. 2015: 86 pages; 1603338.
28.
Sentiment analysis in the Arabic language using machine learning
by Alotaibi, Saud Saleh, Ph.D.  Colorado State University. 2015: 204 pages; 3720340.
29.
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.
30.
Using Code Inspection, Code Modification, and Machine Learning to prevent SQL Injection
by Trumble, Brandon, M.S.  Kutztown University of Pennsylvania. 2015: 50 pages; 1590429.
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