"Influence sketching": Finding influential samples in large-scale regressions. - Michael Wojnowicz; Ben Cruz; Xuan Zhao 008; Brian Wallace; Matt Wolff; Jay Luan; Caleb Crable (IEEE BigData, 2016)

Projecting "Better Than Randomly": How to Reduce the Dimensionality of Very Large Datasets in a Way That Outperforms Random Projections. - Michael Wojnowicz; Di Zhang; Glenn Chisholm; Xuan Zhao 008; Matt Wolff (DSAA, 2016)

Evaluating randomness in cyber attack textual artifacts. - Xuan Zhao 008; Jay Luan; Matt Wolff (eCrime, 2016)

Wavelet decomposition of software entropy reveals symptoms of malicious code. - Michael Wojnowicz; Glenn Chisholm; Matt Wolff; Xuan Zhao 008 (J. Innov. Digit. Ecosyst., 2016)

Lazy Stochastic Principal Component Analysis. - Michael Wojnowicz; Dinh Nguyen; Li Li; Xuan Zhao 008 (ICDM Workshops, 2017)

SUSPEND: Determining software suspiciousness by non-stationary time series modeling of entropy signals. - Michael Wojnowicz; Glenn Chisholm; Brian Wallace; Matt Wolff; Xuan Zhao 008; Jay Luan (Expert Syst. Appl., 2017)

PROPS: Probabilistic personalization of black-box sequence models. - Michael Thomas Wojnowicz; Xuan Zhao 008 (IEEE BigData, 2018)