1. Paper › Research › Not peer-reviewed
2. Published

   An evaluation measure of image segmentation based on object centres.

   Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jan 2006, p. 283-294.

   Research output: Contribution to conference › Paper

3. Published

   An experimental study on Rotation Forest ensembles.

   Kuncheva, L. I. & Rodriguez, J. J., 1 Jan 2007, p. 459-468.

   Research output: Contribution to conference › Paper

4. Published

   An investigation into how AdaBoost affects classifier diversity.

   Shipp, C. A. & Kuncheva, L. I., 1 Jan 2002, p. 203-208.

   Research output: Contribution to conference › Paper

5. Published

   Background segmentation in microscope images.

   Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jan 2008.

   Research output: Contribution to conference › Paper

6. Published

   Bagging and Boosting for the nearest mean classifier: Effects of sample size on diversity and accuracy

   Skurichina, M., Kuncheva, L. I. & Duin, R. P., 1 Jan 2002, p. 62-71.

   Research output: Contribution to conference › Paper

7. Published

   Classifier ensembles for changing environments.

   Kuncheva, L. I., 1 Jan 2004, p. 1-15.

   Research output: Contribution to conference › Paper

8. Published

   Classifier ensembles for detecting concept change in streaming data: Overview and perspectives

   Kuncheva, L. I., 1 Jan 2008, p. 5-10.

   Research output: Contribution to conference › Paper

9. Published

   Complexity of data subsets generated by the random subspace method: An experimental investigation

   Kuncheva, L. I., Roli, F., Marcialis, G. L. & Shipp, C. A., 1 Jan 2001, p. 349-358.

   Research output: Contribution to conference › Paper

10. Published

    Data reduction using classifier ensembles.

    Sanchez, J. S. & Kuncheva, L. I., 1 Jan 2007.

    Research output: Contribution to conference › Paper

11. Published

    Error bounds for aggressive and conservative AdaBoost.

    Kuncheva, L. I., 1 Jan 2003, p. 25-34.

    Research output: Contribution to conference › Paper

12. Published

    Examining the relationship between majority vote accuracy and diversity in bagging and boosting

    Whitaker, C. J. & Kuncheva, L. I., 1 Jan 2003.

    Research output: Contribution to conference › Paper

13. Published

    Experimental comparison of cluster ensemble methods.

    Kuncheva, L. I., Hadjitodorov, S. T. & Todorova, L. P., 1 Jan 2006.

    Research output: Contribution to conference › Paper

14. Published

    Feature subsets for classifier combination: An enumerative experiment.

    Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2001, p. 228-237.

    Research output: Contribution to conference › Paper

15. Published

    Four measures of data complexity for bootstrapping, splitting and feature sampling

    Shipp, C. A. & Kuncheva, L. I., 1 Jan 2001, p. 429-435.

    Research output: Contribution to conference › Paper

16. 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

17. Published

    Pre-selection of independent binary features: An application to diagnosing scrapie in sheep

    Kuncheva, L. I., Cockcroft, P. D., Whitaker, C. J. & Hoare, Z., 1 Jan 2004, p. 325-332.

    Research output: Contribution to conference › Paper

18. Published

    Selecting diversifying heuristics for cluster ensembles.

    Hadjitodorov, S. T. & Kuncheva, L. I., 1 Jan 2007, p. 200-209.

    Research output: Contribution to conference › Paper

19. Published

    Ten measures of diversity in classifier ensembles: Limits for two classifiers.

    Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2001.

    Research output: Contribution to conference › Paper

20. Published

    Time series classification: Decision forests and SVM on interval and DTW features

    Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007.

    Research output: Contribution to conference › Paper

21. Published

    Using diversity in cluster ensembles.

    Kuncheva, L. I. & Hadjitodorov, S. T., 1 Jan 2004, p. 1214-1219.

    Research output: Contribution to conference › Paper

22. Published

    Using diversity with three variants of boosting: aggressive, conservative and inverse

    Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2002, p. 81-90.

    Research output: Contribution to conference › Paper

23. Published

    Using fuzzy similarities to analyze heavy metal distribution in a marine environment

    Al-Zaidan, A. S. & Kuncheva, L. I., 1 Jan 2001, p. 725-731.

    Research output: Contribution to conference › Paper

24. Published

    `Fuzzy' vs `non-fuzzy' in combining classifiers: an experimental study.

    Kuncheva, L. I., 1 Jan 2001, p. 11-22.

    Research output: Contribution to conference › Paper

25. Paper › Research › Peer-reviewed
26. Published

    A Constrained Cluster Ensemble Using Hierarchical Clustering Methods

    Williams, F., Kuncheva, L., Hennessey, S., Diez-Pastor, J. & Rodriguez, J., Aug 2024.

    Research output: Contribution to conference › Paper › peer-review

27. Published

    Effects of hyper-parameters in online constrained clustering: A study on animal videos

    Williams, F. & Kuncheva, L., 5 Dec 2023.

    Research output: Contribution to conference › Paper › peer-review