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1.
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.
2.
Text Representation using Convolutional Networks
by Zhang, Xiang, Ph.D.  New York University. 2019: 164 pages; 10928487.
3.
MapSearch: A protocol and prototype application to find maps
by Gelernter, Judith, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2008: 139 pages; 3322148.
4.
High-performance knowledge-based entity extraction
by Middleton, Anthony M., Ph.D.  Nova Southeastern University. 2009: 317 pages; 3352341.
7.
A structure based technique for spam detection and email classification
by Desai, Varun, M.S.  California State University, Long Beach. 2016: 56 pages; 10017844.
8.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
9.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
12.
Feature Selection through Visualisation for the Classification of Online Reviews
by Koka, Keerthika, M.S.  Purdue University. 2017: 66 pages; 10278441.
13.
Reading comprehension and its assessment: Aligning operationalization with conceptualization of the construct
by Rahman, Taslima, Ph.D.  University of Maryland, College Park. 2013: 250 pages; 3568756.
14.
Drop, Cover, and Hold On: Analyzing Risk Communication through Visual Rhetoric
by Cosgrove, Samantha J., M.A.  University of South Florida. 2016: 57 pages; 10143254.
15.
Advanced Information Retrieval and Extraction in Research and Clinical Settings
by Nagy, Mate Levente, Ph.D.  Yale University. 2017: 141 pages; 10633260.
16.
Classifying Websites Using Word Vectors and Other Techniques: An Application of Zipf’s Law
by Robles, Alejandro, M.S.  California State University, Long Beach. 2019: 50 pages; 22589849.
19.
An examination of presentation strategies for textual data in augmented reality
by Kitkhachonkunlaphat, Kanrawi, M.S.  Purdue University. 2013: 70 pages; 1544351.
20.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
21.
Data-driven Storytelling for Casual Users
by Zhao, Zhenpeng, Ph.D.  University of Maryland, College Park. 2019: 293 pages; 13887051.
22.
23.
A computer vision approach to classification of circulating tumor cells
by Hopkins, David, M.S.  Colorado State University. 2013: 93 pages; 1539638.
24.
Bilingual Sentiment Analysis of Spanglish Tweets
by Serrano, Melissa, M.S.  Florida Atlantic University. 2017: 63 pages; 10610508.
25.
Effects of Qualitative Factor and Weight Assignment In Multi-criteria Inventory Ranking Method
by K. C., Manish, M.S.  University of Louisiana at Lafayette. 2014: 83 pages; 1592388.
26.
Classification of prevention through drama cyber-bullying programs in Nassau County
by Lenz, Valerie Robin, M.F.A.  State University of New York at Stony Brook. 2012: 50 pages; 1529628.
27.
Data Synthesis for Object Recognition
by Zhang, Xi, Ph.D.  Illinois Institute of Technology. 2017: 140 pages; 10642437.
28.
Synergistic interplay between math search and handwritten mathematical notation recognition
by Ahmadi, Seyed Ali, Ph.D.  The George Washington University. 2009: 179 pages; 3349633.
29.
Android Sensor Classification Toolset
by Sargent, Mark, M.S.  California State University, Los Angeles. 2015: 22 pages; 10007188.
30.
Picturebooks as visual literacy: The influence of illustrations on second-graders' comprehension of narrative text
by Gerrard, Emily Elizabeth, M.A.  University of Maryland, College Park. 2008: 124 pages; 1460970.
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