Graph-Based Semisupervised Learning. - Mark Vere Culp; George Michailidis (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

The Ensemble Bridge Algorithm: A New Modeling Tool for Drug Discovery Problems. - Mark Vere Culp; Kjell Johnson; George Michailidis (J. Chem. Inf. Model., 2010)

An iterative semi-supervised approach to software fault prediction. - Huihua Lu; Bojan Cukic; Mark Vere Culp (PROMISE, 2011)

Software defect prediction using semi-supervised learning with dimension reduction. - Huihua Lu; Bojan Cukic; Mark Vere Culp (ASE, 2012)

Joint harmonic functions and their supervised connections. - Mark Vere Culp; Kenneth Joseph Ryan (J. Mach. Learn. Res., 2013)

A Semi-supervised Approach to Software Defect Prediction. - Huihua Lu; Bojan Cukic; Mark Vere Culp (COMPSAC, 2014)

On Clustering Human Gait Patterns. - Brian DeCann; Arun Ross; Mark Vere Culp (ICPR, 2014)

On semi-supervised linear regression in covariate shift problems. - Kenneth Joseph Ryan; Mark Vere Culp (J. Mach. Learn. Res., 2015)

Automated triaging of very large bug repositories. - Sean Banerjee; Zahid A. Syed; Jordan Helmick; Mark Vere Culp; Kenneth Joseph Ryan; Bojan Cukic (Inf. Softw. Technol., 2017)

On Data Integration Problems With Manifolds. - Mark Vere Culp; Kenneth Joseph Ryan; Prithish Banerjee; Michael Morehead (Technometrics, 2019)