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391.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
392.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
393.
394.
Feature Extraction from Network Data
by Oles, Vladyslav, Ph.D.  Washington State University. 2019: 92 pages; 27547130.
395.
The neural basis of human reinforcement learning
by Rutledge, Robb B., Ph.D.  New York University. 2010: 259 pages; 3428046.
396.
Dynamics and Information Processing in Recurrent Networks
by Kuczala, Alexander, Ph.D.  University of California, San Diego. 2019: 112 pages; 27541198.
397.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
398.
Statistical Learning of Transition Patterns between Variable Stimuli
by Dong, Mingwen, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 99 pages; 13810427.
399.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
402.
Practical Backdoor Attacks and Defenses in Deep Learning Systems
by Yao, Yuanshun, Ph.D.  The University of Chicago. 2020: 181 pages; 28002642.
403.
Weakly Supervised Visual Understanding
by Zou, Yang, Ph.D.  Carnegie Mellon University. 2020: 170 pages; 28095257.
404.
A Model of Antigen Processing Improves Prediction of MHC Class I-Presented Peptides
by O'Donnell, Timothy John, Ph.D.  Icahn School of Medicine at Mount Sinai. 2020: 127 pages; 28092843.
406.
The neural correlates of categorical and individuated impressions
by Kubota, Jennifer Takara, Ph.D.  University of Colorado at Boulder. 2010: 198 pages; 3433360.
407.
Optimizing router nodes placement for designing distributed sensor network
by Ganesan, Arun, M.S.  California State University, Long Beach. 2014: 86 pages; 1527703.
408.
Autonomous Localization of a UAV in a 3D CAD Model
by Haque, Akkas Uddin, M.S.  The University of North Dakota. 2018: 92 pages; 10982407.
409.
410.
Data-based Analysis and Control for Nonlinear Dynamical Systems
by Wang, Zhuo, Ph.D.  University of Illinois at Chicago. 2013: 144 pages; 3573413.
411.
Nonlocal and Randomized Methods in Sparse Signal and Image Processing
by Crandall, Robert, Ph.D.  The University of Arizona. 2018: 96 pages; 10840330.
414.
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.
415.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
416.
417.
Effects of Early Cadmium and Selenium Exposure on Zebrafish Neural Development and Behavior
by Wold, Marissa K., M.S.  The University of North Dakota. 2018: 132 pages; 10843993.
418.
Neural Correlates of Auditory Function and Training in Older Adults
by Anderson, Samira Brake, Ph.D.  Northwestern University. 2012: 255 pages; 3547805.
419.
Lineage-Specific Gene Families and Evolutionary Innovation
by Bedell, Victoria M., Ph.D.  College of Medicine - Mayo Clinic. 2012: 193 pages; 3553003.
391 - 420 of 29935 displayed.
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