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1.
Any domain parsing: Automatic domain adaptation for natural language parsing
by McClosky, David, Ph.D.  Brown University. 2010: 86 pages; 3430199.
2.
Impact of responsive and directive adaptation on local dialog processing
by Stoyanchev, Svetlana, Ph.D.  State University of New York at Stony Brook. 2009: 184 pages; 3401733.
3.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
4.
Improving the performance of cross-domain authorship attribution
by Sapkota, Upendra, Ph.D.  The University of Alabama at Birmingham. 2015: 85 pages; 3739881.
5.
Dissertation beyond shared memory loop parallelism in the polyhedral model
by Yuki, Tomofumi, Ph.D.  Colorado State University. 2013: 137 pages; 3565471.
6.
Generation and Conditioning of Metric Tensor Fields for Design, Analysis, and Manufacturing Applications
by Vyas, Ved, Ph.D.  Carnegie Mellon University. 2018: 161 pages; 10933372.
7.
Entrainment: Adaptive feedback cancelling electro-acoustic system dynamics
by Theverapperuma, Lalin Shrimal, Ph.D.  University of Minnesota. 2007: 165 pages; 3268352.
8.
Black box methods for inferring parallel applications' properties in virtual environments
by Gupta, Ashish, Ph.D.  Northwestern University. 2008: 289 pages; 3303812.
9.
Causal Relations Between Cognitive Control and Language: A Conflict Adaptation Study
by O'Connor, Katherine, M.A.  The George Washington University. 2015: 54 pages; 1590850.
10.
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.
11.
Detecting and characterizing malicious websites
by Xu, Li, Ph.D.  The University of Texas at San Antonio. 2014: 93 pages; 3637094.
12.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
13.
Road Traffic Analysis with Surveillance Cameras Using Synthetic Training Data
by Toropov, Evgeny, Ph.D.  Carnegie Mellon University. 2019: 168 pages; 13883988.
16.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
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Universal Adaptive Automatic Reclosure Techniques For Transmission Lines
by Maragal, Deepak Shivayogi, Ph.D.  Polytechnic Institute of New York University. 2013: 390 pages; 3718507.
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Modeling and adaptive robust motion control of piezoelectric actuators
by Zhong, Jinghua, Ph.D.  Purdue University. 2014: 115 pages; 3636707.
21.
Post processing wrapper generated tables for labeling anonymous datasets
by Ahmed, Emdad, Ph.D.  Wayne State University. 2011: 91 pages; 3440259.
22.
Suppression of the DNA damage checkpoint by the Saccharomyces cerevisiae polo-like kinase, CDC5, to promote adaptation
by Vidanes, Genevieve M., Ph.D.  University of California, San Francisco. 2009: 103 pages; 3352477.
23.
Improving Scalability of Parallel Unstructured Mesh-Based Adaptive Workflows
by Smith, Cameron Walter, Ph.D.  Rensselaer Polytechnic Institute. 2017: 124 pages; 10269567.
24.
Enabling open domain interactive storytelling using a data-driven case-based approach
by Swanson, Reid, Ph.D.  University of Southern California. 2010: 228 pages; 3418269.
26.
A reference-set approach to information extraction from unstructured, ungrammatical data sources
by Michelson, Matthew, Ph.D.  University of Southern California. 2009: 160 pages; 3355406.
27.
The dynamics of adaptation in the fly early visual system
by Zhou, Liming, Ph.D.  Indiana University. 2014: 113 pages; 3635770.
28.
Scaling activity discovery and recognition to large, complex datasets
by Rashidi, Parisa, Ph.D.  Washington State University. 2011: 275 pages; 3460419.
29.
Using analogy to overcome brittleness in AI systems
by Klenk, Matthew Evans, Ph.D.  Northwestern University. 2009: 213 pages; 3352621.
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