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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.
3.
Data-mart integration of the proteome
by Vyas, Jay, Ph.D.  University of Connecticut. 2012: 114 pages; 3510543.
4.
Provenance framework in support of data quality estimation
by Simmhan, Yogesh L., Ph.D.  Indiana University. 2007: 350 pages; 3297094.
6.
Enabling Data-Guided Evaluation of Bioinformatics Workflow Quality
by McDade, Kevin Kristopher, Ph.D.  University of Pittsburgh. 2017: 160 pages; 10645872.
8.
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.
9.
Monte Carlo Methods for Optimizing Finance for Development
by BTCarpi, Carlos, M.S.  The George Washington University. 2018: 129 pages; 10931384.
12.
Novel algorithms for structural alignment of non-coding RNAs
by Kolbe, Diana Lynn, Ph.D.  Washington University in St. Louis. 2010: 175 pages; 3408095.
13.
Statistical phylogenetic methods with applications to virus evolution
by Westesson, Oscar, Ph.D.  University of California, Berkeley. 2012: 258 pages; 3555992.
14.
Towards a systematic study of big data performance and benchmarking
by Ekanayake, Saliya, Ph.D.  Indiana University. 2016: 120 pages; 10195564.
15.
Learning and inference algorithms for dynamical system models of dextrous motion
by Varadarajan, Balakrishnan, Ph.D.  The Johns Hopkins University. 2011: 169 pages; 3496153.
16.
Structural RNA homology search and alignment using covariance models
by Nawrocki, Eric Paul, Ph.D.  Washington University in St. Louis. 2009: 281 pages; 3372748.
17.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
18.
Clustering of Large-Scale Protein Datasets
by Abnousi, Armen, Ph.D.  Washington State University. 2018: 118 pages; 10641432.
19.
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.
20.
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.
21.
Phylogenomic Analysis of Fundulidae Using RNA-Sequencing Data
by Rodgers, Rachel, M.S.  Southern Illinois University at Edwardsville. 2017: 72 pages; 10265232.
22.
Analyzing comparative sequence data to understand genome function and evolution
by Prasad, Arjun B., Ph.D.  The George Washington University. 2010: 223 pages; 3389713.
23.
Generalized Conditional Matching Algorithm for Ordered and Unordered Sets
by Krishnan, Ravikiran, Ph.D.  University of South Florida. 2014: 120 pages; 3666203.
24.
Structure-activity-relationships in Cav Voltage-gated Calcium Channels
by Martinez Ortiz, Wilnelly, Ph.D.  New York University. 2019: 134 pages; 13811420.
26.
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.
27.
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.
28.
High-throughput Visual Knowledge Analysis and Retrieval in Big Data Ecosystems
by Cao, Hongfei, Ph.D.  University of Missouri - Columbia. 2015: 121 pages; 13877134.
29.
The data narrativist: Leading analytics organizations in value creation using data driven communication
by Bradbury, Judd D., Ph.D.  The University of Texas at Dallas. 2016: 164 pages; 10113850.
30.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
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