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1.
Student Sequence Model: A Temporal Model For Exploring and Predicting Risk From Heterogeneous Student Data
by Mahzoon, Mohammad Javad, Ph.D.  The University of North Carolina at Charlotte. 2018: 122 pages; 10791643.
4.
Provenance framework in support of data quality estimation
by Simmhan, Yogesh L., Ph.D.  Indiana University. 2007: 350 pages; 3297094.
5.
Monte Carlo Methods for Optimizing Finance for Development
by BTCarpi, Carlos, M.S.  The George Washington University. 2018: 129 pages; 10931384.
6.
Data-mart integration of the proteome
by Vyas, Jay, Ph.D.  University of Connecticut. 2012: 114 pages; 3510543.
8.
Enabling Data-Guided Evaluation of Bioinformatics Workflow Quality
by McDade, Kevin Kristopher, Ph.D.  University of Pittsburgh. 2017: 160 pages; 10645872.
9.
Novel algorithms for structural alignment of non-coding RNAs
by Kolbe, Diana Lynn, Ph.D.  Washington University in St. Louis. 2010: 175 pages; 3408095.
11.
Clustering of Large-Scale Protein Datasets
by Abnousi, Armen, Ph.D.  Washington State University. 2018: 118 pages; 10641432.
12.
Phylogenomic Analysis of Fundulidae Using RNA-Sequencing Data
by Rodgers, Rachel, M.S.  Southern Illinois University at Edwardsville. 2017: 72 pages; 10265232.
13.
Statistical phylogenetic methods with applications to virus evolution
by Westesson, Oscar, Ph.D.  University of California, Berkeley. 2012: 258 pages; 3555992.
14.
Novel bioinformatic methods for emerging pathogens with applications in influenza diagnostics
by Smagala, James A., Ph.D.  University of Colorado at Boulder. 2007: 172 pages; 3273816.
16.
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.
17.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
18.
Toward understanding speech planning by observing its execution – Representations, modeling and analysis
by Ramanarayanan, Vikram, Ph.D.  University of Southern California. 2014: 170 pages; 3643149.
19.
Learning and inference algorithms for dynamical system models of dextrous motion
by Varadarajan, Balakrishnan, Ph.D.  The Johns Hopkins University. 2011: 169 pages; 3496153.
20.
Development and Application of Incretin Receptor Models to Screen Anti-Obesity or Anti-Diabetic Agents
by Chaudhari, Rajan, Ph.D.  University of the Sciences in Philadelphia. 2015: 95 pages; 10169468.
21.
Generalized Conditional Matching Algorithm for Ordered and Unordered Sets
by Krishnan, Ravikiran, Ph.D.  University of South Florida. 2014: 120 pages; 3666203.
22.
Using Structural Information in Modeling and Multiple Alignments for Phylogenetics
by Pan, Xueliang, Ph.D.  The Ohio State University. 2008: 137 pages; 10631339.
23.
Towards a systematic study of big data performance and benchmarking
by Ekanayake, Saliya, Ph.D.  Indiana University. 2016: 120 pages; 10195564.
24.
Analyzing comparative sequence data to understand genome function and evolution
by Prasad, Arjun B., Ph.D.  The George Washington University. 2010: 223 pages; 3389713.
25.
High-throughput Visual Knowledge Analysis and Retrieval in Big Data Ecosystems
by Cao, Hongfei, Ph.D.  University of Missouri - Columbia. 2015: 121 pages; 13877134.
26.
Predicting “Essential” Genes in Microbial Genomes: A Machine Learning Approach to Knowledge Discovery in Microbial Genomic Data
by Palaniappan, Krishnaveni, Ph.D.  Nova Southeastern University. 2010: 252 pages; 3428281.
28.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
29.
A binary classifier for test case feasibility applied to automatically generated tests of event-driven software
by Robbins, Bryan Thomas, III, Ph.D.  University of Maryland, College Park. 2016: 135 pages; 10128641.
30.
Modeling and simulation of vertebrate limb development and algorithms for comparative genomics
by Christley, Scott, Ph.D.  University of Notre Dame. 2008: 188 pages; 3436465.
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