Improving Classification Performance with Discretization on Biomedical Datasets. - Jonathan L. Lustgarten; Vanathi Gopalakrishnan; Himanshu Grover; Shyam Visweswaran (AMIA, 2008)

Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. - Himanshu Grover; Jonathan L. Lustgarten; Shyam Visweswaran; Vanathi Gopalakrishnan (BCBGC, 2008)

An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. - Jonathan L. Lustgarten; Shyam Visweswaran; Himanshu Grover; Vanathi Gopalakrishnan (BIOCOMP, 2008)

EPO-KB: a searchable knowledge base of biomarker to protein links. - Jonathan L. Lustgarten; Chad Kimmel; Henrik Ryberg; William R. Hogan (Bioinform., 2008)

Measuring Stability of Feature Selection in Biomedical Datasets. - Jonathan L. Lustgarten; Vanathi Gopalakrishnan; Shyam Visweswaran (AMIA, 2009)

Distinguishing Historical from Current Problems in Clinical Reports - Which Textual Features Help? - Danielle L. Mowery; Henk Harkema; John N. Dowling; Jonathan L. Lustgarten; Wendy W. Chapman (BioNLP@HLT-NAACL, 2009)

Knowledge-based variable selection for learning rules from proteomic data. - Jonathan L. Lustgarten; Shyam Visweswaran; Robert P. Bowser; William R. Hogan; Vanathi Gopalakrishnan (BMC Bioinform., 2009)

Bayesian rule learning for biomedical data mining. - Vanathi Gopalakrishnan; Jonathan L. Lustgarten; Shyam Visweswaran; Gregory F. Cooper (Bioinform., 2010)

Application of an efficient Bayesian discretization method to biomedical data. - Jonathan L. Lustgarten; Shyam Visweswaran; Vanathi Gopalakrishnan; Gregory F. Cooper (BMC Bioinform., 2011)

Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. - Jonathan L. Lustgarten; Jeya Balaji Balasubramanian; Shyam Visweswaran; Vanathi Gopalakrishnan (Data, 2017)