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1.
A multidimensional investigation of deep and surface processing
by Dinsmore, Daniel L., Ph.D.  University of Maryland, College Park. 2011: 215 pages; 3478843.
3.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
4.
Achievement goals, interest, study strategies, and academic achievement
by Costello, Thomas Anthony, Ph.D.  Fordham University. 2011: 114 pages; 3461869.
5.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
6.
The Effects of Depth of Processing and Handedness on Episodic Memory
by Butler, Michael, M.A.  The University of Toledo. 2007: 36 pages; 10835904.
8.
Integrating Multiple Modalities into Deep Learning Networks
by McNeil, Patrick N., Ph.D.  Nova Southeastern University. 2017: 296 pages; 10283417.
9.
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.
10.
The role of perspective and encoding specific cueing in survival processing
by Kyle, Hilary K., M.A.  California State University, Long Beach. 2014: 75 pages; 1526921.
11.
Sensory Processing in the Olfactory Bulb: From Lateral Inhibition to Behavior
by Phillips, Matthew Emory, Ph.D.  Yale University. 2012: 160 pages; 3535407.
12.
Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
13.
16.
Fetal valproate syndrome and sensory processing by the superior colliculus
by Dendrinos, Georgia A., Ph.D.  University of Maryland, Baltimore. 2010: 131 pages; 3404273.
17.
Ship Detection from Optical Space-Borne Satellite Images
by Shaik, Muzeeb Rehmani, M.S.  California State University, Long Beach. 2017: 35 pages; 10263649.
19.
Real-Time Adaptive Data-Driven Perception for Anomaly Priority Scoring at Scale
by Miraftabzadeh, Seyed Ali, Ph.D.  The University of Texas at San Antonio. 2017: 142 pages; 10686275.
20.
Text Representation using Convolutional Networks
by Zhang, Xiang, Ph.D.  New York University. 2019: 164 pages; 10928487.
21.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
22.
Deep Learning Robust Perception Paradigm for Autonomous Vehicles
by Ali, Alaa Mohamed Leithy, Ph.D.  University of Louisiana at Lafayette. 2017: 134 pages; 10681320.
23.
Document and natural image applications of deep learning
by Kang, Le, Ph.D.  University of Maryland, College Park. 2015: 145 pages; 3726222.
24.
Superior colliculus participation in rat vibrissa sensorimotor loops
by Hemelt, Marie E., Ph.D.  University of Maryland, Baltimore. 2009: 139 pages; 3365889.
26.
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.
27.
Leveraging Deep Neural Networks to Study Human Cognition
by Peterson, Joshua C., Ph.D.  University of California, Berkeley. 2018: 129 pages; 10930700.
28.
Needle in the Noise: Detecting Public Safety Events Over Twitter
by Paulson, Keith, M.Eng.  University of Colorado Colorado Springs. 2019: 52 pages; 13864461.
29.
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.
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