| Malware detection by eating a whole exe E Raff, J Barker, J Sylvester, R Brandon, B Catanzaro, CK Nicholas Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 676 | 2018 |
| An investigation of byte n-gram features for malware classification E Raff, R Zak, R Cox, J Sylvester, P Yacci, R Ward, A Tracy, M McLean, ... Journal of Computer Virology and Hacking Techniques 14 (1), 1-20, 2018 | 194 | 2018 |
| Barrage of random transforms for adversarially robust defense E Raff, J Sylvester, S Forsyth, M McLean Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 187 | 2019 |
| Learning the PE Header, Malware Detection with Minimal Domain Knowledge E Raff, J Sylvester, C Nicholas Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017 | 165 | 2017 |
| Fair forests: Regularized tree induction to minimize model bias E Raff, J Sylvester, S Mills Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 243-250, 2018 | 82 | 2018 |
| Exploiting diversity in ensembles: Improving the performance on unbalanced datasets NV Chawla, J Sylvester International Workshop on Multiple Classifier Systems, 397-406, 2007 | 65 | 2007 |
| Evolutionary ensemble creation and thinning J Sylvester, NV Chawla The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 48 | 2006 |
| Gradient Reversal Against Discrimination: A Fair Neural Network Learning Approach E Raff, J Sylvester 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 44 | 2018 |
| Non-Negative Networks Against Adversarial Attacks W Fleshman, E Raff, J Sylvester, S Forsyth, M McLean arXiv preprint arXiv:1806.06108, 2018 | 38 | 2018 |
| The Computational Explanatory Gap JA Reggia, D Monner, J Sylvester | 31 | 2013 |
| Controlling working memory with learned instructions JC Sylvester, JA Reggia, SA Weems, MF Bunting Neural Networks 41, 23-38, 2013 | 30 | 2013 |
| Predictability of user behavior in social media: Bottom-up v. top-down modeling D Darmon, J Sylvester, M Girvan, W Rand 2013 International Conference on Social Computing, 102-107, 2013 | 26 | 2013 |
| Gradient Reversal Against Discrimination E Raff, J Sylvester arXiv preprint arXiv:1807.00392, 2018 | 25 | 2018 |
| Engineering neural systems for high-level problem solving J Sylvester, J Reggia Neural Networks 79, 37-52, 2016 | 25 | 2016 |
| Evolutionary ensembles: Combining learning agents using genetic algorithms J Sylvester, NV Chawla AAAI Workshop on Multiagent Learning, 46-51, 2005 | 25 | 2005 |
| What About Applied Fairness? J Sylvester, E Raff arXiv preprint arXiv:1806.05250, 2018 | 15 | 2018 |
| A temporally asymmetric hebbian network for sequential working memory JC Sylvester, JA Reggia, SA Weems, M Bunting Proc. 10th int’l conf. cognitive modeling, 241-246, 2010 | 8 | 2010 |
| Cognitive control as a gated cortical net JC Sylvester, JA Reggia, S Weems Proceedings second international conference on Biologically Inspired …, 2011 | 7 | 2011 |
| Engineering a Simplified 0-Bit Consistent Weighted Sampling E Raff, J Sylvester, C Nicholas Proceedings of the 27th ACM International Conference on Information and …, 2018 | 6 | 2018 |
| Understanding the Predictive Power of Computational Mechanics and Echo State Networks in Social Media D Darmon, J Sylvester, M Girvan, W Rand HUMAN 2 (1), pp. 13-24, 2013 | 5 | 2013 |
Edward RaffBooz Allen Hamilton, UMBC在 bah.com 的电子邮件经过验证
