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Engineering a Simplified 0-Bit Consistent Weighted Sampling


Oct 23, 2018
Edward Raff, Jared Sylvester, Charles Nicholas

* In Proceedings of the 27th ACM International Conference on Information and Knowledge Management. (2018) 1203-1212 

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Gradient Reversal Against Discrimination


Jul 01, 2018
Edward Raff, Jared Sylvester

* Proceedings of the 5'th Workshop on Fairness, Accountability and Transparency in Machine Learning, 2018 

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Non-Negative Networks Against Adversarial Attacks


Jun 15, 2018
William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean


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What About Applied Fairness?


Jun 13, 2018
Jared Sylvester, Edward Raff

* Machine Learning: The Debates (ML-D), at ICML Stockholm, Sweden, 2018 
* Accepted at Machine Learning: The Debates (ML-D), at ICML Stockholm, Sweden, 2018. 5 pages 

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Fair Forests: Regularized Tree Induction to Minimize Model Bias


Dec 21, 2017
Edward Raff, Jared Sylvester, Steven Mills

* To appear in the first AAAI / ACM conference on Artificial Intelligence, Ethics, and Society (AIES) 2018 

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Learning the PE Header, Malware Detection with Minimal Domain Knowledge


Nov 11, 2017
Edward Raff, Jared Sylvester, Charles Nicholas

* Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security (2017) 121-132 

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Malware Detection by Eating a Whole EXE


Oct 25, 2017
Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles Nicholas


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Understanding the Predictive Power of Computational Mechanics and Echo State Networks in Social Media


Aug 23, 2013
David Darmon, Jared Sylvester, Michelle Girvan, William Rand


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