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301.
Optical Neural Interfaces for Optogenetic Interrogation
by Boutte, Ronald W., Ph.D.  The University of Utah. 2018: 151 pages; 10791039.
302.
The Role of Data Geometry in Adversarial Machine Learning
by Bhagoji, Arjun Nitin, Ph.D.  Princeton University. 2020: 184 pages; 28095670.
303.
Learning-Based Methods for Single Image Restoration and Translation
by Zhang, He, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 149 pages; 10982777.
305.
Dynamic Fraud Detection via Sequential Modeling
by Zheng, Panpan, Ph.D.  University of Arkansas. 2020: 140 pages; 27960392.
306.
The Role of Mirror Neurons in Relational Dysfunction in Posttraumatic Stress Disorder
by Walker, Andrew, Psy.D.  Pepperdine University. 2020: 129 pages; 28157125.
307.
The Impact of Cost on Feature Selection for Classifiers
by McCrae, Richard, Ph.D.  Nova Southeastern University. 2018: 181 pages; 13423087.
308.
Rule and item information in working memory
by Montojo, Caroline A., Ph.D.  The Johns Hopkins University. 2012: 218 pages; 3525137.
309.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
311.
A Novel Integrated Fuzzy Control System Towards Automated Local Airflow Management in Data Centers
by Mohsenian, Ghazal, M.S.M.E.  State University of New York at Binghamton. 2020: 72 pages; 28029188.
312.
Short-term mood regulation: Cognitive, neural, and genetic associations
by Gillihan, Seth J., Ph.D.  University of Pennsylvania. 2008: 161 pages; 3346225.
313.
In-Node Vehicle Classification and Identification
by Bavkar, Indraneel N., M.S.  California State University, Long Beach. 2017: 50 pages; 10639676.
314.
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.
315.
Deep Learning Methods for Medical Image Computing
by Liao, Haofu, Ph.D.  University of Rochester. 2019: 237 pages; 27737049.
316.
Non-invasive Hyperglycemia Detection Using ECG and Deep Learning
by Silveira Cordeiro, Renato, M.S.  San Jose State University. 2019: 55 pages; 27736399.
317.
Network structures: Graph theory, statistics, and neuroscience applications
by Chang, Yu-Teng, Ph.D.  University of Southern California. 2012: 146 pages; 3513735.
318.
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.
319.
Neural computation of visual motion in macaque area MT
by Zaharia, Andrew D., Ph.D.  New York University. 2016: 162 pages; 10192285.
320.
Advancements in Quantum Statistical Mechanics: Modeling Hydrogen Diffusion in sII Clathrate Hydrates
by Cendagorta, Joseph R., Ph.D.  New York University. 2020: 254 pages; 28088352.
322.
323.
Nonconvex Min-Max Optimization in Deep Learning: Algorithms and Applications
by Liu, Mingrui, Ph.D.  The University of Iowa. 2020: 186 pages; 28031308.
324.
Intelligent spot welding quality monitoring using advanced signal processing techniques
by Xingjue, Wang, M.S.  National University of Singapore (Singapore). 2015: 142 pages; 10006100.
325.
Neural and behavioral correlates of song prosody
by Gordon, Reyna Leigh, Ph.D.  Florida Atlantic University. 2010: 206 pages; 3424225.
326.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
328.
Control Design and Implementation of an Active Transtibial Prosthesis
by Klein, Joseph G., M.S.  Marquette University. 2018: 132 pages; 10839035.
329.
Visual Dialog: Towards Communicative Visual Agents
by Kottur, Satwik, Ph.D.  Carnegie Mellon University. 2019: 161 pages; 13882985.
330.
Refining Bounding-Box Regression for Object Localization
by Dickerson, Naomi Lynn, M.S.  Portland State University. 2017: 55 pages; 10602491.
301 - 330 of 29916 displayed.
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