1. Published

   Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy.

   Kuncheva, L. I. & Whitaker, C. J., 1 May 2003, In: Machine Learning. 51, 2, p. 181-207

   Research output: Contribution to journal › Article › peer-review

2. Published

   Moderate diversity for better cluster ensembles.

   Hadjitodorov, S. T., Kuncheva, L. I. & Todorova, L. P., 1 Sept 2006, In: Information Fusion. 7, 3, p. 264-275

   Research output: Contribution to journal › Article › peer-review

3. Published

   Naive Bayes ensembles with a random oracle.

   Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007, p. 450-458.

   Research output: Contribution to conference › Paper

4. Published

   Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data

   Plumpton, C. O., Kuncheva, L. I., Oosterhof, N. N. & Johnston, S. J., Jun 2012, In: Pattern Recognition. 45, 6, p. 2101-2108

   Research output: Contribution to journal › Article › peer-review

5. Published

   Nearest prototype classifier designs: An experimental study.

   Bezdek, J. C. & Kuncheva, L. I., 1 Dec 2001, In: International Journal of Intelligent Systems. 16, 12, p. 1445-1473

   Research output: Contribution to journal › Article › peer-review

6. Published

   Object segmentation within microscope images of palynofacies.

   Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jun 2008, In: Computers and Geosciences. 34, 6, p. 688-698

   Research output: Contribution to journal › Article › peer-review

7. Published

   Occlusion Handling via Random Subspace Classifiers for Human Detection

   Kuncheva, L. I., Marin, J., Vazquez, D., Lopez, A. M., Amores, J. & Kuncheva L.I., N. V., 6 May 2013, In: IEEE Transactions on Cybernetics. 44, 3, p. 342-354

   Research output: Contribution to journal › Article › peer-review

8. Published

   On Optimum Thresholding of Multivariate Change Detectors

   Faithfull, W. J., Kuncheva, L. I., Franti, P. (ed.), Brown, G. (ed.), Loog, M. (ed.), Escolano, F. (ed.) & Pelillo, M. (ed.), 20 Aug 2014, Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science. 2014 ed. Springer Berlin Heidelberg, p. 364-373

   Research output: Chapter in Book/Report/Conference proceeding › Chapter

9. Published

   On feature selection protocols for very low-sample-size data

   Kuncheva, L. & Rodriguez, J., Sept 2018, In: Pattern Recognition. 81, p. 660-673 14 p.

   Research output: Contribution to journal › Article › peer-review

10. Published

    On the optimality of Naive Bayes with dependent binary features.

    Kuncheva, L. I., 1 May 2006, In: Pattern Recognition Letters. 27, 7, p. 830-837

    Research output: Contribution to journal › Article › peer-review