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1.
Effects of Topic Structure on Automatic Summarization
by Schrimpf, Natalie Margaret, Ph.D.  Yale University. 2018: 229 pages; 10957338.
2.
Citation handling: Processing citation texts in scientific documents
by Whidby, Michael Alan, M.S.  University of Maryland, College Park. 2012: 77 pages; 1529438.
3.
Efficient sensing, summarization and classification of videos
by Shroff, Nitesh, Ph.D.  University of Maryland, College Park. 2012: 240 pages; 3543609.
5.
Scalable Garbage Collection via Remembered Set Summarization and Refinement
by Klock, Felix S., II, Ph.D.  Northeastern University. 2011: 183 pages; 3450602.
7.
Identifying and Resolving Entities in Text
by Durrett, Gregory Christopher, Ph.D.  University of California, Berkeley. 2016: 93 pages; 10192292.
9.
Modflows: Methods for studying and managing mesh editing workflows
by Denning, Jonathan D., Ph.D.  Dartmouth College. 2014: 129 pages; 3633485.
10.
Sight for visually impaired users: Summarizing information graphics textually
by Demir, Seniz, Ph.D.  University of Delaware. 2010: 196 pages; 3423405.
11.
Simulating Question-based Visual Scanning for Non-visual Readers
by Yarrington, Debra, Ph.D.  University of Delaware. 2019: 151 pages; 22622558.
12.
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.
13.
Navigating Video Using Structured Text
by Pavel, Amy, Ph.D.  University of California, Berkeley. 2019: 107 pages; 13886327.
14.
Introspective pushdown analysis and Nebo
by Earl, Christopher, Ph.D.  The University of Utah. 2014: 154 pages; 3621541.
15.
Automatic detection and classification of prosodic events
by Rosenberg, Andrew, Ph.D.  Columbia University. 2009: 381 pages; 3393597.
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Analyzing discourse in fan fiction communities for evidence of writing instruction
by Wren, Hue-An, Ed.D.  Pepperdine University. 2014: 127 pages; 3635768.
19.
Sparse dictionary learning and domain adaptation for face and action recognition
by Qiu, Qiang, Ph.D.  University of Maryland, College Park. 2013: 150 pages; 3587452.
20.
Online Management and Mining of Heteregenous and Dynamic Time Series
by Altiparmak, Fatih, Ph.D.  The Ohio State University. 2008: 176 pages; 10630894.
21.
Discovering heap anomalies in the wild
by Jump, Maria Eva, Ph.D.  The University of Texas at Austin. 2009: 144 pages; 3373283.
22.
Preprocessing and barcoding of data from a single microarray
by McCall, Matthew N., Ph.D.  The Johns Hopkins University. 2010: 108 pages; 3410198.
23.
Studying Episodic Access to Personal Digital Activity: Activity Trails Prototype
by Cangiano, Gaston R., Ph.D.  University of California, San Diego. 2011: 92 pages; 3481484.
24.
Discovering credible events in near real time from social media streams
by Buntain, Cody, Ph.D.  University of Maryland, College Park. 2016: 167 pages; 10193286.
25.
Automatic verification of string manipulating programs
by Yu, Fang, Ph.D.  University of California, Santa Barbara. 2010: 239 pages; 3422651.
26.
A framework for collecting, extracting and managing event identity information from textual content in social media
by Mahata, Debanjan, Ph.D.  University of Arkansas at Little Rock. 2015: 206 pages; 10117973.
28.
Extracting and aggregating information about situations over time to present the context of news
by Wagner, Earl Joseph, Ph.D.  Northwestern University. 2009: 182 pages; 3386514.
29.
Interpreting the Temporal Aspects of Language
by UzZaman, Naushad, Ph.D.  University of Rochester. 2012: 221 pages; 3543329.
30.
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.
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