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1.
A General Purpose Neural Processor
by Mountain, David Jerome, Ph.D.  University of Maryland, Baltimore County. 2017: 171 pages; 10268058.
2.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
3.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
4.
Bag-of-Concepts as a Movie Genome and Representation
by Zhou, Colin, M.S.  University of California, San Diego. 2016: 41 pages; 10150182.
6.
Extracellular proteoglycans and their cleaving metalloproteinases are associated with neural plasticity
by Howell, Matthew D., Ph.D.  University of Arkansas for Medical Sciences. 2012: 182 pages; 3551929.
7.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
8.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
9.
Early Mammalian Neural Crest Development
by Betters, Erin Ann, Ph.D.  Yale University. 2012: 168 pages; 3535405.
10.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
11.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
12.
Neural Network Optimization of Airline Ticket Booking: An Airline Revenue Management System
by Alsharif, Mustafa Adnan, Ph.D.  Florida Institute of Technology. 2012: 239 pages; 3507025.
13.
The Imagination: A Path to Personal and Planetary Individuation
by Doherty, Ciuin, M.A.  Pacifica Graduate Institute. 2016: 59 pages; 10113369.
14.
Creative Learning for Intelligent Robots
by Liao, Xiaoqun, Ph.D.  University of Cincinnati. 2006: 295 pages; 10857161.
15.
Using Code Inspection, Code Modification, and Machine Learning to prevent SQL Injection
by Trumble, Brandon, M.S.  Kutztown University of Pennsylvania. 2015: 50 pages; 1590429.
17.
Transcriptional Regulation of the Developing Neural Crest in Xenopus
by Medina Ruiz, Sofia, Ph.D.  University of California, Berkeley. 2015: 135 pages; 10186646.
18.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
19.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
20.
Ship Detection from Optical Space-Borne Satellite Images
by Shaik, Muzeeb Rehmani, M.S.  California State University, Long Beach. 2017: 35 pages; 10263649.
21.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
22.
Text Representation using Convolutional Networks
by Zhang, Xiang, Ph.D.  New York University. 2019: 164 pages; 10928487.
23.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
24.
An investigation of data privacy and utility using machine learning as a gauge
by Mivule, Kato, D.Sc.  Bowie State University. 2014: 262 pages; 3619387.
25.
An exploration of varying conditions in a Hopfield Neural Network and applications to a DNA implementation
by Hughes, Bradley Steven, Ph.D.  University of California, Riverside. 2010: 233 pages; 3426183.
27.
Automatic Snooker-Playing Robot with Speech Recognition Using Deep Learning
by Bhagat, Kunj H., M.S.  California State University, Long Beach. 2018: 61 pages; 10977867.
28.
Nets and translation nets of higher dimensions
by Swaminathan, Ganesh, Ph.D.  National University of Singapore (Singapore). 2015: 89 pages; 10006001.
29.
Automated Detection of Semagram-Laden Images
by Cerkez, Paul S., Ph.D.  Nova Southeastern University. 2012: 238 pages; 3505651.
30.
Nonlinear discriminant analysis based feature dimensionality reduction for automatic speech recognition
by Hu, Hongbing, Ph.D.  State University of New York at Binghamton. 2010: 145 pages; 3423029.
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