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1.
Analysis of Irregular Event Sequences in Healthcare Using Deep Learning, Reinforcement Learning, and Visualization
by Dabek, Filip, Ph.D.  University of Maryland, Baltimore County. 2020: 268 pages; 28256716.
2.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
3.
Representation Learning for Text: Transfer Learning, Decomposition, and Bias in Neural Networks
by Romanov, Alexey, Ph.D.  University of Massachusetts Lowell. 2019: 103 pages; 22624438.
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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.
7.
Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
8.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
9.
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.
10.
Instructional Design Strategies for Deep Learning in Accelerated Courses Across Discipline
by Grincewicz, Amy M., Ph.D.  Capella University. 2017: 173 pages; 10285475.
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Application of Deep Reinforcement Learning for Intelligent Autonomous Navigation of Car-Like Mobile Robot
by Sivashangaran, Shathushan, M.S.  State University of New York at Buffalo. 2021: 49 pages; 28264977.
13.
Deep Learning Methods for Medical Image Computing
by Liao, Haofu, Ph.D.  University of Rochester. 2019: 237 pages; 27737049.
14.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
15.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
16.
Deep Learning for Puzzles and Circadian Rhythms
by Agostinelli, Forest, Ph.D.  University of California, Irvine. 2019: 99 pages; 27663716.
17.
Deep Learning-Based Exploration Path Planning
by Reinhart, Russell, M.S.  University of Nevada, Reno. 2020: 56 pages; 28022208.
18.
Integrating Multiple Modalities into Deep Learning Networks
by McNeil, Patrick N., Ph.D.  Nova Southeastern University. 2017: 296 pages; 10283417.
19.
Interpretable Deep Learning for Natural Language Processing
by Murdoch, William James, Ph.D.  University of California, Berkeley. 2019: 114 pages; 13880811.
20.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
21.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
22.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
23.
Classification of Faults in Microgrids Using Deep Learning
by Karan, Sainesh, M.S.  California State University, Long Beach. 2020: 74 pages; 27834650.
24.
Deep Learning for Digital Histopathology across Multiple Scales
by Hou, Le, Ph.D.  State University of New York at Stony Brook. 2019: 177 pages; 27670274.
25.
Multimodal Deep Learning to Enhance the Practice of Radiology
by Badgeley, Marcus Alexander, Ph.D.  Icahn School of Medicine at Mount Sinai. 2019: 236 pages; 10974774.
26.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
27.
Document and natural image applications of deep learning
by Kang, Le, Ph.D.  University of Maryland, College Park. 2015: 145 pages; 3726222.
28.
Practical Backdoor Attacks and Defenses in Deep Learning Systems
by Yao, Yuanshun, Ph.D.  The University of Chicago. 2020: 181 pages; 28002642.
29.
Deep Learning for Financial Banking Stress Test Analytics
by Razzak, Farid, Ph.D.  Rutgers The State University of New Jersey, Graduate School - Newark. 2020: 174 pages; 27955933.
30.
Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
1 - 30 of 42136 displayed.
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