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3.
Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S.  California State University, Long Beach. 2015: 37 pages; 1603749.
5.
An investigation of data privacy and utility using machine learning as a gauge
by Mivule, Kato, D.Sc.  Bowie State University. 2014: 262 pages; 3619387.
6.
Data science for imbalanced data: Methods and applications
by Johnson, Reid A., Ph.D.  University of Notre Dame. 2016: 181 pages; 10004968.
7.
Feature Selection through Visualisation for the Classification of Online Reviews
by Koka, Keerthika, M.S.  Purdue University. 2017: 66 pages; 10278441.
8.
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.
9.
Classification of gastrointestinal bleeding data
by Chu, Adrienne Michelle, Ph.D.  State University of New York at Stony Brook. 2009: 128 pages; 3393643.
10.
Tree-Based Ensemble Classification Algorithms for Genomic Data
by Doan, Quoc A., M.S.  California State University, Long Beach. 2020: 54 pages; 27736947.
11.
Deep Learning for Electroencephalography and Near-Infrared Spectroscopy Data
by Wajda, Alexander H., M.S.E.  Widener University. 2020: 71 pages; 27963778.
12.
Various considerations on performance measures for a classification of ordinal data
by Nyongesa, Denis Barasa, M.S.  California State University, Long Beach. 2016: 111 pages; 10133995.
13.
Tissue segmentation and classification of diffusion tensor MRI data: From models to man
by Freidlin, Raisa Z., D.Sc.  The George Washington University. 2008: 152 pages; 3304085.
14.
15.
High level integration of genomic data for improving prediction, prognostication and classification of breast tumors
by Weigman, Victor John, Jr., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 173 pages; 3428408.
16.
Levee slide detection using synthetic aperture radar magnitude and phase
by Marapareddy, Ramakalavathi, Ph.D.  Mississippi State University. 2015: 196 pages; 3737165.
23.
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.
25.
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.
26.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
27.
Assessing the Robustness of Clustering Methods for use in Vegetation Classification
by Dell, Noah David, M.S.  Southern Illinois University at Edwardsville. 2017: 108 pages; 10275943.
28.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
29.
Data Synthesis for Object Recognition
by Zhang, Xi, Ph.D.  Illinois Institute of Technology. 2017: 140 pages; 10642437.
30.
Stability analysis of feature selection approaches with low quality data
by Altidor, Wilker, Ph.D.  Florida Atlantic University. 2011: 256 pages; 3480605.
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