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92.
Alpine wind speed and blowing snow trend identification and analysis
by Fuller, Jamie D., M.S.  Colorado State University. 2012: 84 pages; 1510992.
93.
A data-intensive assessment of the species-abundance distribution
by Baldridge, Elita, Ph.D.  Utah State University. 2015: 105 pages; 3700756.
95.
System for Identifying Plankton from the SIPPER Instrument Platform
by Kramer, Kurt A., Ph.D.  University of South Florida. 2010: 134 pages; 3432570.
98.
The impact of No Child Left Behind (NCLB) on school achievement and accountability
by Maleyko, Glenn, Ph.D.  Wayne State University. 2011: 671 pages; 3487374.
99.
Towards Network False Identity Detection in Online Social Networks
by Vallapu, Sai Krishna, M.S.  Southern Illinois University at Edwardsville. 2016: 66 pages; 10246101.
100.
Data science for imbalanced data: Methods and applications
by Johnson, Reid A., Ph.D.  University of Notre Dame. 2016: 181 pages; 10004968.
101.
Fast Optimization Algorithms for AUC Maximization
by Natole, Michael, Jr., Ph.D.  State University of New York at Albany. 2020: 119 pages; 27835831.
103.
Analytical techniques for the improvement of mass spectrometry protein profiling
by Pelikan, Richard Craig, Ph.D.  University of Pittsburgh. 2011: 251 pages; 3472018.
104.
Full and Partial Diacritic Restoration: Development and Impact on Downstream Applications
by Alqahtani, Sawsan, Ph.D.  The George Washington University. 2020: 153 pages; 27668278.
107.
The detection of trans-acting influences upon human gene expression
by Yu, Quan, Ph.D.  National University of Singapore (Singapore). 2015: 199 pages; 10006073.
108.
The Design of COVE: A Collaborative Ocean Visualization Environment
by Grochow, Keith, Ph.D.  University of Washington. 2011: 149 pages; 3472335.
109.
110.
Bioinformatic Strategies to Understand the Complexities of Medicinal Natural Product Mixtures
by Caesar, Lindsay K., Ph.D.  The University of North Carolina at Greensboro. 2019: 301 pages; 13807913.
111.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
112.
Learning from time series in the presence of noise: Unsupervised and semi-supervised approaches
by Yankov, Dragomir Dimitrov, Ph.D.  University of California, Riverside. 2008: 165 pages; 3305676.
113.
Detection of low rank signals in noise and fast correlation mining with applications to large biological data
by Shabalin, Andrey A., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 139 pages; 3418746.
116.
A Model of Antigen Processing Improves Prediction of MHC Class I-Presented Peptides
by O'Donnell, Timothy John, Ph.D.  Icahn School of Medicine at Mount Sinai. 2020: 127 pages; 28092843.
117.
Leveraging Internet Background Radiation for Opportunistic Network Analysis
by Benson, Karyn, Ph.D.  University of California, San Diego. 2016: 278 pages; 10161733.
118.
Exact Primitives for Time Series Data Mining
by Mueen, Abdullah Al, Ph.D.  University of California, Riverside. 2012: 184 pages; 3503286.
119.
An Integrated Phylogeographic Analysis of the Bantu Migration
by Ford, Colby Tyler, Ph.D.  The University of North Carolina at Charlotte. 2018: 120 pages; 10748780.
120.
A study of a data parallel algorithm for XML DOM parsing
by Shah, Bhavik Bharatkumar, M.S.  University of Missouri - Kansas City. 2009: 50 pages; 1478718.
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