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 Paper › Research › Not peer-reviewed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

   Classifier ensembles for changing environments.

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

   Research output: Contribution to conference › Paper

3. 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

4. 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

5. Published

   Data reduction using classifier ensembles.

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

   Research output: Contribution to conference › Paper

6. Published

   Error bounds for aggressive and conservative AdaBoost.

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

   Research output: Contribution to conference › Paper

7. 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

8. 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

9. 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

10. 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

11. 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