Is Independence Good For Combining Classifiers? - Ludmila I. Kuncheva; Christopher J. Whitaker; Catherine A. Shipp; Robert P. W. Duin (ICPR, 2000)

Feature Subsets for Classifier Combination: An Enumerative Experiment. - Ludmila I. Kuncheva; Christopher J. Whitaker (Multiple Classifier Systems, 2001)

Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse. - Ludmila I. Kuncheva; Christopher J. Whitaker (Multiple Classifier Systems, 2002)

Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy. - Ludmila I. Kuncheva; Christopher J. Whitaker (Mach. Learn., 2003)

Limits on the majority vote accuracy in classifier fusion. - Ludmila I. Kuncheva; Christopher J. Whitaker; Catherine A. Shipp; Robert P. W. Duin (Pattern Anal. Appl., 2003)

A Logodds Criterion for Selection of Diagnostic Tests. - Christopher J. Whitaker; Ludmila I. Kuncheva; Peter D. Cockcroft (SSPR/SPR, 2004)

Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in. - Ludmila I. Kuncheva; Christopher J. Whitaker; Peter D. Cockcroft; Z. S. J. Hoare (UAI, 2004)

A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers. - Ludmila I. Kuncheva; Christopher J. Whitaker; Anand M. Narasimhamurthy (Pattern Recognit., 2008)

Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in Sheep - Ludmila Kuncheva; Christopher J. Whitaker; Peter D. Cockcroft; Z. S. J. Hoare (CoRR, 2012)