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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.
Scalable Garbage Collection via Remembered Set Summarization and Refinement
by Klock, Felix S., II, Ph.D.  Northeastern University. 2011: 183 pages; 3450602.
3.
Citation handling: Processing citation texts in scientific documents
by Whidby, Michael Alan, M.S.  University of Maryland, College Park. 2012: 77 pages; 1529438.
4.
Efficient sensing, summarization and classification of videos
by Shroff, Nitesh, Ph.D.  University of Maryland, College Park. 2012: 240 pages; 3543609.
5.
Modflows: Methods for studying and managing mesh editing workflows
by Denning, Jonathan D., Ph.D.  Dartmouth College. 2014: 129 pages; 3633485.
6.
Gunrock: A Programming Model and Implementation for Graph Analytics on Graphics Processing Units
by Wang, Yangzihao, Ph.D.  University of California, Davis. 2017: 134 pages; 10251096.
7.
Sight for visually impaired users: Summarizing information graphics textually
by Demir, Seniz, Ph.D.  University of Delaware. 2010: 196 pages; 3423405.
9.
Personalized Context Mining of News Streams Using Graph-based Approaches
by Mookiah, Lenin, Ph.D.  Tennessee Technological University. 2017: 139 pages; 10600229.
11.
Witness proximity graphs and other geometric problems
by Dulieu, Muriel, Ph.D.  Polytechnic Institute of New York University. 2012: 115 pages; 3518747.
12.
Introspective pushdown analysis and Nebo
by Earl, Christopher, Ph.D.  The University of Utah. 2014: 154 pages; 3621541.
14.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
16.
Identifying and Resolving Entities in Text
by Durrett, Gregory Christopher, Ph.D.  University of California, Berkeley. 2016: 93 pages; 10192292.
17.
Computation of evolutionary change
by Stanek, Edward Jason, Ph.D.  Iowa State University. 2009: 95 pages; 3352259.
18.
Graph-Based Rhythm Interpretation in Optical Music Recognition
by Jin, Rong, Ph.D.  Indiana University. 2017: 135 pages; 10642136.
19.
Multi-GPU Graph Processing
by Pan, Yuechao, Ph.D.  University of California, Davis. 2019: 136 pages; 13809782.
20.
Singularities of configuration and graph hypersurfaces
by Patterson, Eric, Ph.D.  The University of Chicago. 2009: 764 pages; 3362457.
21.
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.
22.
Discovering heap anomalies in the wild
by Jump, Maria Eva, Ph.D.  The University of Texas at Austin. 2009: 144 pages; 3373283.
23.
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.
24.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
25.
Graph-Based Approach on Social Data Mining
by Wang, Guan, Ph.D.  University of Illinois at Chicago. 2014: 167 pages; 3668648.
26.
Algorithms for Graph Drawing Problems
by He, Dayu, Ph.D.  State University of New York at Buffalo. 2017: 107 pages; 10284151.
27.
Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
28.
Theory of Graph Traversal Edit Distance, Extensions, and Applications
by Ebrahimpour Boroojeny, Ali, M.S.  Colorado State University. 2019: 67 pages; 13812734.
29.
Spanning trees, toughness, and eigenvalues of regular graphs
by Wong, Wiseley, Ph.D.  University of Delaware. 2013: 109 pages; 3595000.
30.
The Hybrid Task Graph Scheduler
by Blattner, Timothy, Ph.D.  University of Maryland, Baltimore County. 2016: 152 pages; 10245475.
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