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1.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
2.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
3.
Method for simulating creativity to generate sound collages from documents on the web
by Merz, Evan X., D.M.A.  University of California, Santa Cruz. 2013: 90 pages; 3609658.
4.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
6.
Behaviometrics for multiple residents in a smart environment
by Crandall, Aaron S., Ph.D.  Washington State University. 2011: 271 pages; 3460369.
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Cooperative particle swarm optimization for combinatorial problems
by Lapizco-Encinas, Grecia C., Ph.D.  University of Maryland, College Park. 2009: 152 pages; 3391379.
11.
Ant colony inspired models for trust-based recommendations
by Alathel, Deema, Ph.D.  The George Washington University. 2015: 193 pages; 3686815.
12.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
13.
Lower Bound Resource Requirements for Machine Intelligence
by Gilmanov, Timur, Ph.D.  Indiana University. 2018: 149 pages; 10980279.
14.
The CIA to 1950
by Gleason, Hillary, Ph.D.  State University of New York at Binghamton. 2010: 256 pages; 3434597.
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Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
17.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
18.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
19.
Efficient Multi-Robot Path Planning in Discrete Spaces
by Luna, Ryan, M.S.  University of Nevada, Reno. 2011: 101 pages; 1494166.
20.
An iterative feature perturbation method for gene selection from microarray data
by Reich, Juana Canul, Ph.D.  University of South Florida. 2010: 153 pages; 3425694.
21.
Using analogy to overcome brittleness in AI systems
by Klenk, Matthew Evans, Ph.D.  Northwestern University. 2009: 213 pages; 3352621.
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Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
24.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
25.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
26.
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.
27.
Detecting deception in speech
by Enos, Frank, Ph.D.  Columbia University. 2009: 233 pages; 3348430.
28.
A hybrid approach to expert and model based effort estimation
by Baker, Daniel Ryan, M.S.C.S.  West Virginia University. 2007: 129 pages; 1451942.
29.
Real-Time Individual Thermal Preferences Prediction Using Visual Sensors
by Cosma, Andrei Claudiu, Ph.D.  The George Washington University. 2019: 147 pages; 13422566.
30.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
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