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2.
A structure based technique for spam detection and email classification
by Desai, Varun, M.S.  California State University, Long Beach. 2016: 56 pages; 10017844.
3.
Getting Lost in Email: How and Why Users Spend More Time in Email than Intended
by Hanrahan, Benjamin V., Ph.D.  Virginia Polytechnic Institute and State University. 2014: 196 pages; 10595359.
4.
Patient-provider email communication: An innovation or a setback?
by Kodali, Parnika S., M.S.  California State University, Long Beach. 2012: 41 pages; 1522637.
5.
The analysis of Internet and email communication in health care
by Mu, Tong, M.S.  California State University, Long Beach. 2012: 47 pages; 1517744.
6.
Effects of Qualitative Factor and Weight Assignment In Multi-criteria Inventory Ranking Method
by K. C., Manish, M.S.  University of Louisiana at Lafayette. 2014: 83 pages; 1592388.
9.
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.
10.
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.
12.
Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S.  California State University, Long Beach. 2015: 37 pages; 1603749.
13.
Levee slide detection using synthetic aperture radar magnitude and phase
by Marapareddy, Ramakalavathi, Ph.D.  Mississippi State University. 2015: 196 pages; 3737165.
14.
MapSearch: A protocol and prototype application to find maps
by Gelernter, Judith, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2008: 139 pages; 3322148.
18.
Optimized Veterinary Thermographic Image Classification using Support Vector Machines and Noise Mitigation
by Lama, Norsang, M.S.  Southern Illinois University at Edwardsville. 2017: 56 pages; 10616467.
19.
A hierarchical typology of children in elementary school using teacher ratings of behavior
by Mindrila, Diana L., Ph.D.  University of South Carolina. 2012: 119 pages; 3509539.
20.
21.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
22.
Unbiased Phishing Detection Using Domain Name Based Features
by Shirazi, Hossein, M.S.  Colorado State University. 2018: 72 pages; 10826588.
25.
Thermographic Image Analysis as a Pre-Screening Tool for the Detection of Canine Bone Cancer
by Subedi, Samrat, M.S.  Southern Illinois University at Edwardsville. 2014: 131 pages; 1583211.
26.
Comparison of Features and Mask Size in Thermographic Images of Chiari (CLMS/COMS) Dogs for Syrinx Identification
by Pant, Gita, M.S.  Southern Illinois University at Edwardsville. 2018: 67 pages; 13420135.
27.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
28.
The relationships between students' use of instant messaging and their psychological sense of community
by Thomas, Amanda Garland, Ed.D.  North Carolina State University. 2009: 152 pages; 3377636.
29.
Phase space analysis and classification of sonar echoes in shallow -water channels
by Okopal, Greg, Ph.D.  University of Pittsburgh. 2009: 109 pages; 3384975.
30.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
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