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1.
Collective Relational Data Integration with Diverse and Noisy Evidence
by Memory, Alexander, Ph.D.  University of Maryland, College Park. 2019: 204 pages; 27547597.
3.
Stability analysis of feature selection approaches with low quality data
by Altidor, Wilker, Ph.D.  Florida Atlantic University. 2011: 256 pages; 3480605.
4.
Robust hough transform for noisy and cluttered images
by Slininger, Timothy, M.S.  Southern Connecticut State University. 2014: 197 pages; 1525183.
6.
Communication and estimation in noisy networks
by Vedantam, Satish, Ph.D.  University of Southern California. 2009: 168 pages; 3355383.
7.
Weakly Supervised Visual Understanding
by Zou, Yang, Ph.D.  Carnegie Mellon University. 2020: 170 pages; 28095257.
8.
Studying Low Complexity Structures in Bioinformatics Data Analysis of Biological and Biomedical Data
by Causey, Jason L., Ph.D.  University of Arkansas at Little Rock. 2017: 100 pages; 10750808.
9.
Sparse recovery and parameterization of manifold-valued data
by Taylor, Kye, M.S.  University of Colorado at Boulder. 2008: 105 pages; 1453576.
10.
Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
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Data-driven 3D shape modeling
by Xi, Yongjian, Ph.D.  University of Missouri - Columbia. 2010: 87 pages; 3488869.
15.
Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine
by Halpern, Yonatan, Ph.D.  New York University. 2016: 353 pages; 10192124.
16.
Rotation points from motion capture data using a closed form solution
by Knight, Jonathan Kipling, Ph.D.  University of Colorado at Colorado Springs. 2008: 154 pages; 3304519.
17.
Exploiting Structure in Data: Sampling and Signal Processing on Graphs
by Varma, Rohan Anilkumar, Ph.D.  Carnegie Mellon University. 2020: 211 pages; 27739115.
18.
A multiscale, geometric algorithm for non-parametric data exploration with an application to genomic data
by McQuown, Joseph, Ph.D.  State University of New York at Stony Brook. 2007: 105 pages; 3337616.
19.
Low-Dimensional Representations for Uncertainty Quantification and Data-Driven Modeling
by Diaz, P. M., Ph.D.  University of Colorado at Boulder. 2020: 174 pages; 27837909.
20.
A Software Framework for the Detection and Classification of Biological Targets in Bio-Nano Sensing
by Hafeez, Abdul, Ph.D.  Virginia Polytechnic Institute and State University. 2014: 112 pages; 10595350.
21.
Multiple targets detection and tracking with Doppler effect in noisy acoustic wireless sensor networks
by An, Youngwon Kim, Ph.D.  The University of Alabama in Huntsville. 2013: 167 pages; 3558526.
23.
Data mining techniques to enable large-scale exploratory analysis of heterogeneous scientific data
by Chopra, Pankaj, Ph.D.  North Carolina State University. 2009: 146 pages; 3360622.
24.
Locating Holes in Data with Topological Data Analysis and Applications in Astronomy
by Xu, Xin, Ph.D.  Yale University. 2019: 142 pages; 22619797.
25.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
26.
3D synthetic aperture for controlled-source electromagnetics
by Knaak, Allison, Ph.D.  Colorado School of Mines. 2015: 174 pages; 3682006.
27.
Data Governance: The Missing Approach to Improving Data Quality
by Barker, James M., DM/IST  University of Phoenix. 2016: 293 pages; 10248424.
28.
Over-the-Counter Data's Impact on Educators' Data Analysis Accuracy
by Rankin, Jenny Grant, Ph.D.  Northcentral University. 2013: 485 pages; 3575082.
30.
Effect of Observational Cadence on Orbit Determination for Synthetic Near-Earth Objects
by Endicott, Thomas G., M.S.  University of Massachusetts Boston. 2017: 78 pages; 10617372.
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