Evolutionary Ensemble Creation and Thinning. - Jared Sylvester; Nitesh V. Chawla (IJCNN, 2006)

Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets. - Nitesh V. Chawla; Jared Sylvester (MCS, 2007)

A Simple Oscillatory Short-Term Memory. - James A. Reggia; Jared Sylvester; Scott A. Weems; Michael F. Bunting (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

Plasticity-Induced Symmetry Relationships Between Adjacent Self-Organizing Topographic Maps. - Jared Sylvester; James A. Reggia (Neural Comput., 2009)

Cognitive control as a gated cortical net. - Jared Sylvester; James A. Reggia; Scott A. Weems (BICA, 2011)

Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling. - David Darmon; Jared Sylvester; Michelle Girvan; William Rand (SocialCom, 2013)

Neurocomputational Methods for Autonomous Cognitive Control. - Jared Sylvester (2014)

Engineering neural systems for high-level problem solving. - Jared Sylvester; James A. Reggia (Neural Networks, 2016)

Learning the PE Header, Malware Detection with Minimal Domain Knowledge. - Edward Raff; Jared Sylvester; Charles Nicholas (AISec@CCS, 2017)

Malware Detection by Eating a Whole EXE. - Edward Raff; Jon Barker; Jared Sylvester; Robert Brandon; Bryan Catanzaro; Charles K. Nicholas (AAAI Workshops, 2018)

Fair Forests: Regularized Tree Induction to Minimize Model Bias. - Edward Raff; Jared Sylvester; Steven Mills (AIES, 2018)

Linear Models with Many Cores and CPUs: A Stochastic Atomic Update Scheme. - Edward Raff; Booz Allen Hamilton; Jared Sylvester (IEEE BigData, 2018)

Engineering a Simplified 0-Bit Consistent Weighted Sampling. - Edward Raff; Jared Sylvester; Charles Nicholas (CIKM, 2018)

Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach. - Edward Raff; Jared Sylvester (DSAA, 2018)

What About Applied Fairness? - Jared Sylvester; Edward Raff (CoRR, 2018)

Non-Negative Networks Against Adversarial Attacks. - William Fleshman; Edward Raff; Jared Sylvester; Steven Forsyth; Mark McLean (CoRR, 2018)

Gradient Reversal Against Discrimination. - Edward Raff; Jared Sylvester (CoRR, 2018)

An investigation of byte n-gram features for malware classification. - Edward Raff; Richard Zak; Russell Cox; Jared Sylvester; Paul Yacci; Rebecca Ward; Anna Tracy; Mark McLean; Charles Nicholas (J. Comput. Virol. Hacking Tech., 2018)

Barrage of Random Transforms for Adversarially Robust Defense. - Edward Raff; Jared Sylvester; Steven Forsyth; Mark McLean (CVPR, 2019)

Trimming the Thorns of AI Fairness Research. - Jared Sylvester; Edward Raff (IEEE Data Eng. Bull., 2020)