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1.
2.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
4.
Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
5.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
6.
Instructional Design Strategies for Deep Learning in Accelerated Courses Across Discipline
by Grincewicz, Amy M., Ph.D.  Capella University. 2017: 173 pages; 10285475.
7.
Emotional Labor Training: The Effect of Deep Level Acting Training on Deep Level Acting and Emotional Exhaustion
by Breedon, Justine, M.A.  Southern Illinois University at Edwardsville. 2015: 104 pages; 1591327.
8.
Attention-Dependent and Continuous Representation Learning using Deep Autoencoders
by Dellana, Ryan, Ph.D.  North Carolina Agricultural and Technical State University. 2019: 104 pages; 22583727.
9.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
10.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
11.
Integrating Multiple Modalities into Deep Learning Networks
by McNeil, Patrick N., Ph.D.  Nova Southeastern University. 2017: 296 pages; 10283417.
12.
Interpretable Deep Learning for Natural Language Processing
by Murdoch, William James, Ph.D.  University of California, Berkeley. 2019: 114 pages; 13880811.
13.
Document and natural image applications of deep learning
by Kang, Le, Ph.D.  University of Maryland, College Park. 2015: 145 pages; 3726222.
14.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
15.
Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
16.
Deep Learning Robust Perception Paradigm for Autonomous Vehicles
by Ali, Alaa Mohamed Leithy, Ph.D.  University of Louisiana at Lafayette. 2017: 134 pages; 10681320.
17.
Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning
by Christian, Matthew, M.S.  Tennessee State University. 2018: 56 pages; 10979821.
18.
New Deep Learning Based Approaches for Biomedical Image Segmentation and Related Problems
by Yang, Lin, Ph.D.  University of Notre Dame. 2018: 129 pages; 13836469.
19.
Grid Power Quality with FACTS Devices and Renewable Energy Sources Using Deep Learning Algorithms
by Chitsazan, Mohammad Amin, Ph.D.  University of Nevada, Reno. 2019: 103 pages; 13881645.
20.
Complex-Valued Deep Learning With Applications to Magnetic Resonance Image Synthesis
by Virtue, Patrick M., Ph.D.  University of California, Berkeley. 2019: 153 pages; 22619704.
21.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
23.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
24.
Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
by Abdullah, Malak Abdel-Ghani, Ph.D.  The University of North Carolina at Charlotte. 2018: 103 pages; 10846641.
25.
Real-Time Stability Surveillance in Power Systems: A Deep Learning Approach
by Shinde, Bhavesh Tukaram, M.S.  The George Washington University. 2020: 96 pages; 27669739.
26.
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.
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.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
29.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
30.
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.
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