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1.
Interpretable Deep Learning for Natural Language Processing
by Murdoch, William James, Ph.D.  University of California, Berkeley. 2019: 114 pages; 13880811.
2.
Control of a Three-Phase NPC Inverter Using Model Predictive Control and an Long Short-Term Memory Recurrent Neural Network
by Ashbaugh, Daniel L., M.S.  Southern Illinois University at Edwardsville. 2020: 144 pages; 27957425.
3.
Dynamic Fraud Detection via Sequential Modeling
by Zheng, Panpan, Ph.D.  University of Arkansas. 2020: 140 pages; 27960392.
4.
Short-Term Traffic Delay Prediction at the Niagara Frontier Border Crossings Using Deep Learning
by Chauhan, Rishabh Singh, M.S.  State University of New York at Buffalo. 2019: 154 pages; 13882472.
6.
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.
7.
9.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
10.
Classification of Faults in Microgrids Using Deep Learning
by Karan, Sainesh, M.S.  California State University, Long Beach. 2020: 74 pages; 27834650.
11.
Computer Aided Analysis of Prostate Histopathology Images
by Ren, Jian, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 142 pages; 22623293.
13.
Quadcopter Trajectory Prediction and Wind Estimation Using Machine Learning
by Allison, Sam, M.S.  Oklahoma State University. 2019: 81 pages; 22588182.
14.
High Frequency GaN Power Converters Digital Twin
by Biglarbegian, Mehrdad, Ph.D.  The University of North Carolina at Charlotte. 2018: 153 pages; 10979304.
15.
Predicting Tropical Cyclone Intensity from Geosynchronous Satellite Images Using Deep Neural Networks
by Udumulla, Niranga Mahesh, M.S.  Florida Atlantic University. 2020: 112 pages; 28262639.
16.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
17.
Full and Partial Diacritic Restoration: Development and Impact on Downstream Applications
by Alqahtani, Sawsan, Ph.D.  The George Washington University. 2020: 153 pages; 27668278.
18.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
19.
Hybrid Model for Interpretable Time Series Analysis
by Rosales, Ruben, M.S.  California State University, Long Beach. 2020: 28 pages; 27835218.
21.
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.
22.
Deep Learning for Financial Banking Stress Test Analytics
by Razzak, Farid, Ph.D.  Rutgers The State University of New Jersey, Graduate School - Newark. 2020: 174 pages; 27955933.
23.
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.
24.
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.
25.
Spatial Language Driven Robot
by Huo, Zhiyu, Ph.D.  University of Missouri - Columbia. 2017: 158 pages; 13869885.
26.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
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.
Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
by Abdullah, Malak Abdel-Ghani, Ph.D.  The University of North Carolina at Charlotte. 2018: 103 pages; 10846641.
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