1. Article › Research › Peer-reviewed
2. Published

   Diversity in multiple classifier systems.

   Kuncheva, L. I., 1 Jan 2005, In: Information Fusion. 6, 1, p. 3-4

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

3. Published

   Diversity techniques improve the performance of the best imbalance learning ensembles

   Diez-Pastor, J. F., Rodriguez, J. J., Garcia-Osorio, C. I. & Kuncheva, L. I., 11 Jul 2015, In: Information Sciences. 325, p. 98-117

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

4. Published

   Edited nearest neighbour for selecting keyframe summaries of egocentric videos

   Kuncheva, L., Yousefi, P. & Almeida, J., Apr 2018, In: Journal of Visual Communication and Image Representation. 52, p. 118-130 13 p.

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

5. Published

   Error-dependency relationships for the Naive Bayes classifier with binary features

   Kuncheva, L. & Hoare, Z. S., 1 Apr 2008, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 4, p. 735-740

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

6. Published

   Evaluation of stability of k-means cluster ensembles with respect to random initialization

   Kuncheva, L. I. & Vetrov, D. P., 1 Nov 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, 11, p. 1798-1808

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

7. Published

   Full-class set classification using the Hungarian algorithm.

   Kuncheva, L. I., 1 Dec 2010, In: International Journal of Machine Learning and Cybernetics. 1, 1-4, p. 53-61

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

8. Published

   Generating classifier outputs of fixed accuracy and diversity.

   Kuncheva, L. I. & Kountchev, R. K., 1 Mar 2002, In: Pattern Recognition Letters. 23, 5, p. 593-600

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

9. Published

   Instance selection improves geometric mean accuracy: A study on imbalanced data classification

   Kuncheva, L., Arnaiz-Gonzalez, A., Diez-Pastor, J. F. & Gunn, I., 6 Feb 2019, In: Progress in Artificial Intelligence. 2019, 2, 11 p.

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

10. Published

    Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis

    Kuncheva, L. I. & Rodriguez, J. J., 25 Dec 2012, In: Progress in Artificial Intelligence. 2, 1, p. 65-72

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

11. Published

    It Ain’t What You Do—It’s the Way That You Do It: Is Optimizing Challenge Key in the Development of Super-Elite Batsmen?

    Jones, B., Hardy, L., Lawrence, G., Kuncheva, L., Brandon, R., Bobat, M. & Thorpe, G., 13 Jun 2020, In: Journal of Expertise. 3, 2, p. 144-168

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