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1.
Text Representation using Convolutional Networks
by Zhang, Xiang, Ph.D.  New York University. 2019: 164 pages; 10928487.
2.
Systematic Design of Space-Time Convolutional Codes
by Rouchy, Christophe, M.S.  University of California, Santa Cruz. 2014: 51 pages; 1554232.
3.
Convolutional Neural Networks for EEG Signal Classification in Asynchronous Brain-Computer Interfaces
by Forney, Elliott M., Ph.D.  Colorado State University. 2019: 239 pages; 27544218.
5.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
6.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
7.
Reduction of BER effect in LTE communication systems using turbo coding for different modulation schemes
by Bobbiti, Harish Kumar Reddy, M.S.  California State University, Long Beach. 2017: 45 pages; 10260946.
8.
Automatic Localization of Protein Function Labels to Specific Regions within the Sequence
by Koo, Da Chen Emily, Ph.D.  New York University. 2019: 188 pages; 13810735.
9.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
10.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
11.
2x1 Space-Time MIMO-OFDM Parallel Cancellation Scheme with Viterbi Decoding
by Burugupalli, Ravi Teja, M.S.  California State University, Long Beach. 2017: 47 pages; 10604214.
12.
Deep Learning Applications for Medical Imaging and Time-Series Data
by Martinez, Anthony, M.S.  California State University, Long Beach. 2019: 60 pages; 27545665.
13.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
14.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
16.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
17.
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.
18.
Visual Computational Context: Using Compositions and Non-target Pixels for Novel Class Discovery
by Turner, J. T., Ph.D.  University of Maryland, Baltimore County. 2019: 160 pages; 13902658.
19.
Deep Learning Robust Perception Paradigm for Autonomous Vehicles
by Ali, Alaa Mohamed Leithy, Ph.D.  University of Louisiana at Lafayette. 2017: 134 pages; 10681320.
20.
Real-Time Stability Surveillance in Power Systems: A Deep Learning Approach
by Shinde, Bhavesh Tukaram, M.S.  The George Washington University. 2020: 96 pages; 27669739.
21.
Design of a low power asynchronous Viterbi decoder for wireless communications
by Deshpande, Parikshit, M.S.  California State University, Long Beach. 2016: 47 pages; 10142986.
22.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
23.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
24.
Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing
by Keller, Thomas Anderson, M.S.  University of California, San Diego. 2017: 87 pages; 10599339.
25.
Data-driven computer vision for science and the humanities
by Lee, Stefan, Ph.D.  Indiana University. 2016: 130 pages; 10153534.
26.
Automatic Age Estimation from Real-World and Wild Face Images by Using Deep Neural Networks
by Qawaqneh, Zakariya, Ph.D.  University of Bridgeport. 2017: 99 pages; 10689195.
27.
Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
28.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
29.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
30.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
1 - 30 of 308 displayed.
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