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92.
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.
93.
The Role of Empirical Evidence in Modeling Speech Segmentation
by Phillips, Lawrence, Ph.D.  University of California, Irvine. 2015: 150 pages; 10027743.
94.
Programming Agent-Based Models by Demonstration
by Budhraja, Karan K., Ph.D.  University of Maryland, Baltimore County. 2019: 258 pages; 13428284.
95.
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.
96.
On the Usability of Continuous Time Bayesian Networks: Improving Scalability and Expressiveness
by Perreault, Logan Jared, Ph.D.  Montana State University. 2017: 250 pages; 10258540.
98.
Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
99.
A Total Variation and Spatially Varying Estimation Model for Image Restoration
by Hu, Xiaofei, Ph.D.  Syracuse University. 2010: 144 pages; 3459386.
100.
Grammatical formalisms for RNA structure analysis
by Al Seesi, Sahar, Ph.D.  University of Connecticut. 2010: 121 pages; 3420201.
101.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
102.
Learning to Manipulate Novel Objects for Assistive Robots
by Sung, Jaeyong, Ph.D.  Cornell University. 2017: 190 pages; 10258261.
103.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
104.
To Fix the Image in Memory: Adaptive Analog Coding in Emerging Memory Systems
by Zarcone, Ryan, Ph.D.  University of California, Berkeley. 2020: 113 pages; 27998548.
105.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
106.
The collision of two discrete localized solitons
by Sun, Fu-Chang, M.S.  State University of New York at Buffalo. 2010: 85 pages; 1474195.
107.
Adversarial Analysis and Molecular Coarse-Graining
by Durumeric, Aleksander Evren Paetzold, Ph.D.  The University of Chicago. 2021: 171 pages; 28314404.
108.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
109.
Game-theoretic Approaches for Generative Modeling
by Gao, Jian, Ph.D.  New York University Tandon School of Engineering. 2020: 207 pages; 27672221.
110.
Data assimilation experiments with a simple coupled ocean-atmosphere model
by Singleton, Tamara, Ph.D.  University of Maryland, College Park. 2011: 128 pages; 3478901.
111.
On Identification of Nonlinear Parameters in PDEs
by Kahler, Raphael, M.S.  Rochester Institute of Technology. 2016: 80 pages; 10117725.
112.
Applications of Data Science for Precision Cardiology
by Johnson, Kipp William, Ph.D.  Icahn School of Medicine at Mount Sinai. 2020: 266 pages; 27737998.
113.
Shamans or scientists? Positivist pseudo-science and sense-able concepts in the discipline of international relations
by En, Benjamin Seet Chong, M.S.  National University of Singapore (Singapore). 2015: 192 pages; 10006077.
114.
Controlling and evaluating inpainting with attentional models
by Ardis, Paul A., Ph.D.  University of Rochester. 2009: 136 pages; 3395371.
115.
Topic modeling for Wikipedia link disambiguation
by Skaggs, Bradley Alan, M.S.  University of Maryland, College Park. 2011: 58 pages; 1506659.
116.
Active Collaborative Planning and Sensing in Human-Robot Teams
by Burks, Charles Luke, Ph.D.Eng.  University of Colorado at Boulder. 2020: 181 pages; 28031373.
117.
Marketing in the Internet Age
by Xia, Feihong, Ph.D.  University of Pittsburgh. 2016: 92 pages; 10298876.
118.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
119.
Learning and Acting with Predictive Cognitive Maps
by Juliani, Arthur William, Ph.D.  University of Oregon. 2020: 201 pages; 28258863.
120.
Novel residual-based large eddy simulation turbulence models for incompressible magnetohydrodynamics
by Sondak, David, Ph.D.  Rensselaer Polytechnic Institute. 2013: 234 pages; 3601031.
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