2008 |
8 | EE | Ludmila I. Kuncheva,
Christopher J. Whitaker,
Anand M. Narasimhamurthy:
A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers.
Pattern Recognition 41(10): 3010-3020 (2008) |
2004 |
7 | EE | Christopher J. Whitaker,
Ludmila I. Kuncheva,
Peter D. Cockcroft:
A Logodds Criterion for Selection of Diagnostic Tests.
SSPR/SPR 2004: 574-582 |
6 | EE | Ludmila I. Kuncheva,
Christopher J. Whitaker,
Peter D. Cockcroft,
Z. S. J. Hoare:
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in.
UAI 2004: 325-332 |
2003 |
5 | EE | Ludmila I. Kuncheva,
Christopher J. Whitaker:
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy.
Machine Learning 51(2): 181-207 (2003) |
4 | EE | Ludmila I. Kuncheva,
Christopher J. Whitaker,
Catherine A. Shipp:
Limits on the majority vote accuracy in classifier fusion.
Pattern Anal. Appl. 6(1): 22-31 (2003) |
2002 |
3 | EE | Ludmila I. Kuncheva,
Christopher J. Whitaker:
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse.
Multiple Classifier Systems 2002: 81-90 |
2001 |
2 | EE | Ludmila I. Kuncheva,
Christopher J. Whitaker:
Feature Subsets for Classifier Combination: An Enumerative Experiment.
Multiple Classifier Systems 2001: 228-237 |
2000 |
1 | EE | Ludmila I. Kuncheva,
Christopher J. Whitaker,
Catherine A. Shipp,
Robert P. W. Duin:
Is Independence Good For Combining Classifiers?
ICPR 2000: 2168-2171 |