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1.
Privacy Aware Social Information Retrieval and Spam Filtering Using Folksonomies
by Navarro Bullock, Beate, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2015: 225 pages; 27766753.
2.
Advances in online learning-based spam filtering
by Sculley, D., Ph.D.  Tufts University. 2008: 212 pages; 3320103.
3.
An exploration of online spam prevention through geolocational filters
by Boukes, John, M.S.  California State University, Long Beach. 2012: 90 pages; 1522208.
4.
Battling Spam and Sybils on the Social Web
by Wilson, Christo, Ph.D.  University of California, Santa Barbara. 2012: 329 pages; 3545102.
5.
A structure based technique for spam detection and email classification
by Desai, Varun, M.S.  California State University, Long Beach. 2016: 56 pages; 10017844.
6.
Examining eye fixation patterns during the Situation Present Assessment Method (SPAM) under varying levels of workload
by Miramontes, Adriana J., M.S.  California State University, Long Beach. 2017: 59 pages; 10253672.
8.
Examination of eye movements during the Situation Present Assessment Method for measuring situation awareness
by Sturre, Lindsay, M.S.  California State University, Long Beach. 2015: 64 pages; 1573126.
9.
Toward a descriptive measure of situation awareness in petrochemical refining
by Grigoleit, Tristan Robert Ernest, M.S.  California State University, Long Beach. 2015: 86 pages; 1596974.
10.
Using Spammers' Computing Resources for Volunteer Computing
by Bui, Thai Le Quy, M.S.  Portland State University. 2014: 90 pages; 1553892.
11.
Graph-Based Approach on Social Data Mining
by Wang, Guan, Ph.D.  University of Illinois at Chicago. 2014: 167 pages; 3668648.
12.
Navigating the Malweb: Authentication Schemes for Mobile Devices
by Niu, Yuan, Ph.D.  University of California, Davis. 2011: 116 pages; 3474442.
13.
Background and Occlusion Defenses Against Adversarial Examples and Adversarial Patches
by McCoyd, Michael J., Ph.D.  University of California, Berkeley. 2020: 75 pages; 28090541.
14.
Determinants of behavioral intention to use mobile coupons in casual dining restaurants
by Jennings, Edward, D.B.A.  University of Phoenix. 2014: 182 pages; 3583289.
15.
On the measurement of situation awareness in petrochemical refining
by Silva, Hector I., M.S.  California State University, Long Beach. 2015: 75 pages; 1597793.
17.
Breaking the Multi Colored Box: A Study of CAPTCHA
by Khanna, Sumit, M.S.Comp.Sci.  The University of Tennessee at Chattanooga. 2009: 103 pages; 1488637.
19.
Structuring Disincentives for Online Criminals
by Leontiadis, Nektarios, Ph.D.  Carnegie Mellon University. 2014: 370 pages; 3691274.
20.
Proactive cyberfraud detection through infrastructure analysis
by Kalafut, Andrew J., Ph.D.  Indiana University. 2010: 153 pages; 3423688.
22.
Fast Optimization Algorithms for AUC Maximization
by Natole, Michael, Jr., Ph.D.  State University of New York at Albany. 2020: 119 pages; 27835831.
23.
An investigation into the potential sources of interference in situation awareness probe techniques
by Morgan, Corey Andrew, M.S.  California State University, Long Beach. 2013: 98 pages; 1522589.
24.
A policy analysis of phishing countermeasures
by Sheng, Xinguang (Steve), Ph.D.  Carnegie Mellon University. 2009: 181 pages; 3383412.
25.
A comparison of probe techniques for assessing situation awareness across levels of automation
by Ziccardi, Jason Brian, M.S.  California State University, Long Beach. 2014: 96 pages; 1528075.
26.
Anomaly Detection on Social Data
by Hanbo, Dai, Ph.D.  Singapore Management University (Singapore). 2013: 146 pages; 3601348.
27.
Measuring and Analyzing Typosquatting Toward Fighting Abusive Domain Registrations
by Szurdi, Janos, Ph.D.  Carnegie Mellon University. 2020: 148 pages; 27994260.
28.
Training trust in automation within a NextGen environment
by Higham, Tiana-Lynn M., M.S.  California State University, Long Beach. 2013: 77 pages; 1524202.
30.
Mining social media communities and content
by Java, Akshay, Ph.D.  University of Maryland, Baltimore County. 2008: 186 pages; 3339175.
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