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1.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
2.
Neural Correlates of Adaptive Behavior: Structure, Dynamics, and Information Processing
by Williams, Steven C., Ph.D.  Indiana University. 2019: 152 pages; 27543239.
3.
Lithium-Ion Battery SOC Estimation Using Deep Learning Neural Networks
by Wang, Rui, M.S.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 55 pages; 22624788.
4.
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.
5.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
7.
Ant colony inspired models for trust-based recommendations
by Alathel, Deema, Ph.D.  The George Washington University. 2015: 193 pages; 3686815.
8.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
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New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
14.
Behaviometrics for multiple residents in a smart environment
by Crandall, Aaron S., Ph.D.  Washington State University. 2011: 271 pages; 3460369.
15.
Cooperative particle swarm optimization for combinatorial problems
by Lapizco-Encinas, Grecia C., Ph.D.  University of Maryland, College Park. 2009: 152 pages; 3391379.
16.
Lower Bound Resource Requirements for Machine Intelligence
by Gilmanov, Timur, Ph.D.  Indiana University. 2018: 149 pages; 10980279.
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The CIA to 1950
by Gleason, Hillary, Ph.D.  State University of New York at Binghamton. 2010: 256 pages; 3434597.
19.
Controlling a Parent System through the Abstraction of a Swarm Acting Upon It
by Crandall, Kyle L., Ph.D.  The George Washington University. 2019: 138 pages; 13902849.
20.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
21.
Learning-Based Methods for Single Image Restoration and Translation
by Zhang, He, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 149 pages; 10982777.
22.
Visual Dialog: Towards Communicative Visual Agents
by Kottur, Satwik, Ph.D.  Carnegie Mellon University. 2019: 161 pages; 13882985.
24.
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.
25.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
26.
Algorithmic Music Composition Using Linear Algebra
by Yelkenci, Serhat, M.S.  Southern Illinois University at Edwardsville. 2017: 67 pages; 10275073.
27.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
28.
Compositionality in vision and language
by Narayanaswamy, Siddharth, Ph.D.  Purdue University. 2014: 119 pages; 3636477.
29.
The recreation of consciousness: Artificial intelligence and human individuation
by Loghry, John Brendan, Ph.D.  Pacifica Graduate Institute. 2013: 253 pages; 3605083.
30.
A cognitive model of recognition-based moral decision making
by Dehghani, Morteza, Ph.D.  Northwestern University. 2009: 219 pages; 3386531.
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