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1.
Module-Based Analysis for "Omics" Data
by Wang, Zhi, Ph.D.  North Carolina State University. 2013: 187 pages; 3690212.
2.
Analytical techniques for the improvement of mass spectrometry protein profiling
by Pelikan, Richard Craig, Ph.D.  University of Pittsburgh. 2011: 251 pages; 3472018.
3.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
4.
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.
5.
An Efficient Mesh-Free Particle Method for Modeling of Free Surface and Multiphase Flows
by Nabian, Mohammad Amin, M.S.  The George Washington University. 2015: 147 pages; 1605038.
6.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
7.
Stopping data races using Redflag
by Duggal, Abhinav, M.S.  State University of New York at Stony Brook. 2010: 38 pages; 1477351.
8.
Mathematical Modeling of Moisture Movement within a Rice Kernel during Convective and Infrared Drying
by Prakash, Bhagwati, Ph.D.  University of California, Davis. 2011: 210 pages; 3474451.
10.
Large margin transformation learning
by Howard, Andrew G., Ph.D.  Columbia University. 2009: 90 pages; 3388470.
13.
Improving non-linear approaches to anomaly detection, class separation, and visualization
by Paciencia, Todd J., Ph.D.  Air Force Institute of Technology. 2014: 354 pages; 3667806.
14.
Accurate prediction of protein function using GOstruct
by Sokolov, Artem, Ph.D.  Colorado State University. 2011: 90 pages; 3489918.
15.
A Probabilistic Biomarker for Alzheimer's Disease
by Ayhan, Murat Seckin, Ph.D.  University of Louisiana at Lafayette. 2015: 103 pages; 10002384.
17.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
18.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
19.
Remote Heart Monitoring: A Predictive Modeling Approach for Biomedical Signal Processing
by Chen, Jiaming, M.S.  Northern Arizona University. 2018: 87 pages; 10846864.
21.
System level methodology for low cost performance characterization of analog and mixed -signal circuits
by Park, Joon Sung, Ph.D.  The University of Texas at Austin. 2009: 149 pages; 3372676.
22.
Advanced techniques for semantic concept detection in general videos
by Jiang, Wei, Ph.D.  Columbia University. 2010: 179 pages; 3420869.
23.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
24.
Robust Model Estimation Methods For Information Retrieval
by Collins-Thompson, Kevyn, Ph.D.  Carnegie Mellon University. 2008: 220 pages; 3528730.
25.
Robust Light Transport Simulation using Progressive Density Estimation
by Hachisuka, Toshiya, Ph.D.  University of California, San Diego. 2011: 209 pages; 3473619.
26.
27.
Beyond dynamic textures: A family of stochastic dynamical models for video with applications to computer vision
by Chan, Antoni Bert, Ph.D.  University of California, San Diego. 2008: 291 pages; 3331461.
28.
Mitigating Privilege Escalation
by Brookes, Scott, Ph.D.  Dartmouth College. 2018: 215 pages; 10822683.
29.
Hardware-in-the-Loop Modeling and Simulation Methods for Daylight Systems in Buildings
by Mead, Alex Robert, Ph.D.  University of California, Berkeley. 2017: 378 pages; 10283149.
30.
Advances in motion profiling
by Bowling, David, Ph.D.  The University of New Mexico. 2008: 227 pages; 3346738.
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