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David DeBarr

Dave DeBarr 0001

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affiliation: George Mason University, Department of Computer Science, Fairfax, VA, USA

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Books and Theses

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2014
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David DeBarr:
Spam, Phishing, and Fraud Detection Using Random Projections, Adversarial Learning, and Semi-Supervised Learning. George Mason University, Fairfax, Virginia, USA, 2014

Journal Articles

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2012
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Dave DeBarr, Harry Wechsler:
Spam detection using Random Boost. Pattern Recognit. Lett. 33(10): 1237-1244 (2012)
2006
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Dave DeBarr, Zachary Eyler-Walker:
Closing the gap: automated screening of tax returns to identify egregious tax shelters. SIGKDD Explor. 8(1): 11-16 (2006)

Conference and Workshop Papers

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2013
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Javier Hernandez, Zicheng Liu, Geoff Hulten, Dave DeBarr, Kyle Krum, Zhengyou Zhang:
Measuring the engagement level of TV viewers. FG 2013: 1-7
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Dave DeBarr, Hao Sun, Harry Wechsler:
Adversarial Spam Detection Using the Randomized Hough Transform-Support Vector Machine. ICMLA (1) 2013: 299-304
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Dave DeBarr, Venkatesh Ramanathan, Harry Wechsler:
Phishing detection using traffic behavior, spectral clustering, and random forests. ISI 2013: 67-72
2010
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Dave DeBarr, Harry Wechsler:
Using Social Network Analysis for Spam Detection. SBP 2010: 62-69
2008
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Jessica Lin, David Etter, David DeBarr:
Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data. SDM 2008: 656-667

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