1. Published

   Combining classifiers: Soft computing solutions.

   Kuncheva, L. I., Pal, S. K. (ed.) & Pal, A. (ed.), 1 Jan 2001, Pattern Recognition: From Classical to Modern Approaches. 2001 ed. Unknown, p. 427-452

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

2. Published

   Combining Pattern Classifiers: Methods and Algorithms.

   Kuncheva, L. I., 1 Jan 2004, Wiley.

   Research output: Book/Report › Book

3. Published

   Combination of Object Tracking and Object Detection for Animal Recognition

   Williams, F., Kuncheva, L., Rodriguez, J. & Hennessey, S., 6 Dec 2022, Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE

   Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4. Published

   Classifier ensembles with a random linear oracle.

   Kuncheva, L. I. & Rodriguez, J. J., 1 Apr 2007, In: IEEE Transactions on Knowledge and Data Engineering. 19, 4, p. 500-508

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

5. Published

   Classifier ensembles for fMRI data analysis: an experiment.

   Kuncheva, L. I. & Rodriguez, J. J., 1 May 2010, In: Magnetic Resonance Imaging. 28, 4, p. 583-593

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

6. 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

7. Published

   Classifier ensembles for changing environments.

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

   Research output: Contribution to conference › Paper

8. Published

   Classification and Comparison of On-Line Video Summarisation Methods

   Matthews, C. E., Kuncheva, L. I. & Yousefi, P., Apr 2019, In: Machine Vision and Applications. 30, 3, p. 507-518

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

9. Published

   Change detection in streaming multivariate data using likelihood detectors

   Kuncheva, L. I., 1 May 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 5, p. 1175-1180

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

10. 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