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1.
Text Representation using Convolutional Networks
by Zhang, Xiang, Ph.D.  New York University. 2019: 164 pages; 10928487.
2.
Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata
by Ellen, Jeffrey Scott, Ph.D.  University of California, San Diego. 2018: 233 pages; 10933313.
3.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
4.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
5.
Automatic Age Estimation from Real-World and Wild Face Images by Using Deep Neural Networks
by Qawaqneh, Zakariya, Ph.D.  University of Bridgeport. 2017: 99 pages; 10689195.
6.
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.
7.
Leveraging Deep Neural Networks to Study Human Cognition
by Peterson, Joshua C., Ph.D.  University of California, Berkeley. 2018: 129 pages; 10930700.
8.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
9.
Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
10.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
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.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
13.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
14.
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.
15.
Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing
by Keller, Thomas Anderson, M.S.  University of California, San Diego. 2017: 87 pages; 10599339.
16.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
18.
Data-driven computer vision for science and the humanities
by Lee, Stefan, Ph.D.  Indiana University. 2016: 130 pages; 10153534.
19.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
20.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
21.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
22.
Using Neural Networks to Predict Vortex-Panel Analyses: A Feasibility Study
by Wright, Brendan, M.S.  Rensselaer Polytechnic Institute. 2018: 103 pages; 10980821.
23.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
24.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
25.
Short-Term Traffic Delay Prediction at the Niagara Frontier Border Crossings Using Deep Learning
by Chauhan, Rishabh Singh, M.S.  State University of New York at Buffalo. 2019: 154 pages; 13882472.
26.
Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
27.
Smart Robotics Prosthesis Using Deep Learning and Musculoskeletal Modeling
by Chaudhari, Dipti K., M.S.  California State University, Long Beach. 2017: 56 pages; 10690581.
28.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
29.
Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
30.
Real-World Robotic Perception and Control Using Synthetic Data
by Tobin, Joshua P., Ph.D.  University of California, Berkeley. 2019: 79 pages; 13886306.
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