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2.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
3.
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.
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Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
7.
Visual Computational Context: Using Compositions and Non-target Pixels for Novel Class Discovery
by Turner, J. T., Ph.D.  University of Maryland, Baltimore County. 2019: 160 pages; 13902658.
8.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
9.
Tactic-Based Learning for collective learning systems
by Armstrong, Alice, D.Sc.  The George Washington University. 2008: 320 pages; 3304083.
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Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
12.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
13.
Computational Analysis of Deformable Manifolds: From Geometric Modeling to Deep Learning
by Schonsheck, Stefan C., Ph.D.  Rensselaer Polytechnic Institute. 2020: 137 pages; 28001226.
14.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
15.
Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
16.
Optimizing Machine Translation by Learning to Search
by Galron, Daniel, Ph.D.  New York University. 2012: 218 pages; 3546405.
17.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
18.
Modernizing Check Fraud Detection with Machine Learning
by Rose, Lydia M., M.S.  Utica College. 2018: 64 pages; 13421455.
19.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
20.
Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization
by Uddin, Muhammad Fahim, Ph.D.  University of Bridgeport. 2018: 192 pages; 13427950.
21.
Biologically-Interpretable Machine Learning for Microbial Genomics
by Kavvas, Erol Sincar, Ph.D.  University of California, San Diego. 2020: 180 pages; 27961958.
22.
Machine learning for the automatic detection of anomalous events
by Fisher, Wendy D., Ph.D.  Colorado School of Mines. 2017: 173 pages; 10258193.
23.
Sentiment analysis in the Arabic language using machine learning
by Alotaibi, Saud Saleh, Ph.D.  Colorado State University. 2015: 204 pages; 3720340.
24.
Three Applications of Gaussian Process Modeling in Evaluation of Longevity Risk Management
by Risk, James Kenneth, Ph.D.  University of California, Santa Barbara. 2017: 245 pages; 10620897.
25.
Machine learning challenges for automated prompting in smart homes
by Das, Barnan, Ph.D.  Washington State University. 2014: 236 pages; 3640007.
26.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
27.
Driver drowsiness detection using ECG integrated with machine learning
by Solanki, Khantil N., M.S.  California State University, Long Beach. 2017: 84 pages; 10263492.
28.
Machine Learning for the Automated Identification of Cyberbullying and Cyberharassment
by Ducharme, Daniel N., Ph.D.  University of Rhode Island. 2017: 145 pages; 10259474.
29.
Implementing Machine Learning Algorithms for Identifying Microstructure of Materials
by Shah, Niyati S., M.S.  California State University, Long Beach. 2018: 41 pages; 10837912.
30.
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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