David DeBarr, Ph.D.

Affiliations: 
2013 Computer Science George Mason University, Washington, DC 
Area:
Computer Science, Statistics, Applied Mathematics
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"David DeBarr"

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Harry Wechsler grad student 2013 George Mason
 (Spam, Phishing, and Fraud Detection Using Random Projections, Adversarial Learning, and Semi-Supervised Learning.)
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Publications

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Debarr D, Ramanathan V, Wechsler H. (2013) Phishing detection using traffic behavior, spectral clustering, and random forests Ieee Isi 2013 - 2013 Ieee International Conference On Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 67-72
Debarr D, Sun H, Wechsler H. (2013) Adversarial spam detection using the randomized hough transform-support vector machine Proceedings - 2013 12th International Conference On Machine Learning and Applications, Icmla 2013. 1: 299-304
Debarr D, Wechsler H. (2012) Spam detection using Random Boost Pattern Recognition Letters. 33: 1237-1244
DeBarr D, Wechsler H. (2010) Using social network analysis for spam detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6007: 62-69
DeBarr D, Wechsler H. (2009) Spam detection using clustering, random forests, and active learning 6th Conference On Email and Anti-Spam, Ceas 2009
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