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91.
Neural Correlates of Reading Ability and Their Plasticity in Response to Auditory Training
by Hornickel, Jane Marie, Ph.D.  Northwestern University. 2012: 307 pages; 3527746.
92.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
93.
The neural dogma
by Merrill, Bradford Chester, M.A.  University of Nevada, Reno. 2008: 128 pages; 1460809.
94.
Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
95.
Short-term mood regulation: Cognitive, neural, and genetic associations
by Gillihan, Seth J., Ph.D.  University of Pennsylvania. 2008: 161 pages; 3346225.
96.
Neural Correlates of Auditory Function and Training in Older Adults
by Anderson, Samira Brake, Ph.D.  Northwestern University. 2012: 255 pages; 3547805.
97.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
98.
Finding Critical and Gradient-Flat Points of Deep Neural Network Loss Functions
by Frye, Charles Gearhart, Ph.D.  University of California, Berkeley. 2020: 90 pages; 27957645.
100.
Dynamic Fraud Detection via Sequential Modeling
by Zheng, Panpan, Ph.D.  University of Arkansas. 2020: 140 pages; 27960392.
101.
A General Purpose Neural Processor
by Mountain, David Jerome, Ph.D.  University of Maryland, Baltimore County. 2017: 171 pages; 10268058.
102.
103.
Scaling and Entropic Approaches to Clusters in Materials Science and in Network
by Roy, Prosun, M.S.  The University of Wisconsin - Milwaukee. 2020: 63 pages; 27960050.
104.
Spatial Memory Precision and Learning in Medial Temporal and Prefrontal Networks
by Stevenson, Rebecca Farwell, Ph.D.  University of California, Irvine. 2019: 141 pages; 27540672.
105.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
107.
Interpretable Deep Learning for Natural Language Processing
by Murdoch, William James, Ph.D.  University of California, Berkeley. 2019: 114 pages; 13880811.
108.
A Deep Learning Predictive Model for Source Code Analysis of a Dynamically Typed Language
by Tiwang, Raymond F., D.Sc.  Bowie State University. 2020: 125 pages; 28000426.
109.
Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
111.
A Deep Learning Approach to Detecting Covert Channels in the Domain Name System
by Peña, Tomás Antonio, T.D.  Capitol Technology University. 2020: 206 pages; 27735496.
112.
On information representation in the brain
by Tee, James Seng Khien, Ph.D.  New York University. 2017: 126 pages; 10188255.
113.
Development and Testing of a Combined Neural-Genetic Algorithm to Identify CO2 Sequestration Candidacy Wells
by Zhang, Xiaohui, M.S.  University of Louisiana at Lafayette. 2015: 140 pages; 1594272.
115.
Identifying Product Defects by Applying a Predictive Model to Customer Reviews
by Fong, Titus Hei Yeung, D.Engr.  The George Washington University. 2020: 146 pages; 28087840.
116.
Hybrid Model for Interpretable Time Series Analysis
by Rosales, Ruben, M.S.  California State University, Long Beach. 2020: 28 pages; 27835218.
117.
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.
118.
Real-Time Road Traffic Events Detection and Geo-Parsing
by Kumar, Saurabh, M.S.E.C.E.  Purdue University. 2018: 70 pages; 10842958.
119.
Visual Dialog: Towards Communicative Visual Agents
by Kottur, Satwik, Ph.D.  Carnegie Mellon University. 2019: 161 pages; 13882985.
120.
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.
91 - 120 of 25158 displayed.
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