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1.
Annotation Scaffolds for Robotics
by Frank Bolton, Pablo, Ph.D.  The George Washington University. 2018: 166 pages; 10843648.
2.
Truthmarker: A tablet-based approach for rapid image annotation
by Christopher, Mark Allen, M.S.  The University of Iowa. 2011: 56 pages; 1505948.
3.
New Deep Learning Based Approaches for Biomedical Image Segmentation and Related Problems
by Yang, Lin, Ph.D.  University of Notre Dame. 2018: 129 pages; 13836469.
4.
Domain-Specific Semantic Role Labeling: Portability of Existing Resources
by Reese, Nick, M.A.  University of Colorado at Boulder. 2016: 96 pages; 10124053.
6.
Promoting Learning of Instructional Design via Overlay Design Tools
by Carle, Andrew Jacob, Ph.D.  University of California, Berkeley. 2012: 98 pages; 3555605.
7.
A Framework for Building Lightweight Ontologies Based on Semi-Structured Data for Semantic Annotation
by Ali, Elshaimaa Elsayed, Ph.D.  University of Louisiana at Lafayette. 2015: 147 pages; 10188059.
8.
Building a Korean particle error detection system from the ground up
by Israel, Ross, Ph.D.  Indiana University. 2014: 246 pages; 3672873.
9.
Interpreting the Temporal Aspects of Language
by UzZaman, Naushad, Ph.D.  University of Rochester. 2012: 221 pages; 3543329.
11.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
12.
WRAPS – a system for determining the probability of prokaryotic protein annotation correctness
by Nelson, Benjamin K., M.S.  University of Nebraska at Omaha. 2013: 62 pages; 1536042.
14.
From Event to Story Understanding
by Mostafazadeh, Nasrin, Ph.D.  University of Rochester. 2017: 149 pages; 10618085.
15.
Mapping Analyte-Signal Relations in LC-MS Based Untargeted Metabolomics
by Mahieu, Nathaniel Guy, Ph.D.  Washington University in St. Louis. 2017: 202 pages; 10270783.
16.
Characterization of protein function using automated computational methods
by Wu, Shirley, Ph.D.  Stanford University. 2009: 179 pages; 3364515.
17.
Positive-Unlabeled Learning in the Context of Protein Function Prediction
by Youngs, Noah, Ph.D.  New York University. 2014: 160 pages; 3665223.
18.
Identification and Representation of Caused Motion Constructions
by Hwang, Jena D., Ph.D.  University of Colorado at Boulder. 2014: 193 pages; 3672431.
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Predictive modeling for navigating social media
by Hu, Meiqun, Ph.D.  Singapore Management University (Singapore). 2012: 190 pages; 3509126.
21.
Assembling improved gene annotations in Clostridium acetobutylicum with RNA sequencing
by Ralston, Matthew T., M.S.  University of Delaware. 2015: 152 pages; 1585177.
22.
Interactive web-based track editing and management
by Madala, Phaneendra, M.S.  University of Missouri - Columbia. 2012: 135 pages; 1521076.
23.
Data-mart integration of the proteome
by Vyas, Jay, Ph.D.  University of Connecticut. 2012: 114 pages; 3510543.
25.
The Structural and Functional Distribution of Glycoside Hydrolases Across Databases
by Nguyen, Stanley Tam Cao, M.S.  California State University, Long Beach. 2019: 75 pages; 13424355.
26.
Speech Synthesis Using Unsupervised Learning
by Datta, Aditi, M.S.  California State University, Long Beach. 2017: 215 pages; 10639160.
27.
Coordination Resolution in Biomedical Texts
by Ogren, Philip Victor, Ph.D.  University of Colorado at Boulder. 2011: 123 pages; 3453768.
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29.
Language Learning Through Comparison
by Babarsad, Omid Bakhshandeh, Ph.D.  University of Rochester. 2017: 116 pages; 10618060.
30.
Networks of Splice Factor Regulation by Unproductive Splicing Coupled With NMD
by Desai, Anna Maria, Ph.D.  University of California, Berkeley. 2017: 80 pages; 10688411.
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