On Feature Selection, Bias-Variance, and Bagging. - M. Arthur Munson; Rich Caruana (ECML/PKDD (2), 2009)

COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. - Justin D. Basilico; M. Arthur Munson; Tamara G. Kolda; Kevin R. Dixon; W. Philip Kegelmeyer (ICDM, 2011)

A study on the importance of and time spent on different modeling steps. - M. Arthur Munson (SIGKDD Explor., 2011)

Reframing Threat Detection: Inside esINSIDER. - M. Arthur Munson; Jason Kichen; Dustin Hillard; Ashley Fidler; Peiter Zatko (CoRR, 2019)