1. Published

   A Concept-Drift Perspective on Prototype Selection and Generation

   Kuncheva, L. & Gunn, I., 29 Jul 2016, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2016) . Vancouver, Canada, p. 16-23 8 p.

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

2. 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

3. 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

4. Published

   Using diversity measures for generating error-correcting output codes in classifier ensembles

   Kuncheva, L. I., 1 Jan 2005, In: Pattern Recognition Letters. 26, 1, p. 83-90

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

5. Published

   Decision templates for multiple classifier fusion: an experimental comparison.

   Kuncheva, L. I., Bezdek, J. C. & Duin, R. P., 1 Feb 2001, In: Pattern Recognition. 34, 2, p. 299-314

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

6. Published

   Random Subspace Ensembles for fMRI Classification.

   Kuncheva, L. I., Rodriguez, J. J., Plumpton, C. O., Linden, D. E. & Johnston, S. J., 1 Feb 2010, In: IEEE Transactions on Medical Imaging. 29, 2, p. 531-542

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

7. Published

   A case-study on naive labelling for the nearest mean and the linear discriminant classifiers

   Kuncheva, L. I., Whitaker, C. J. & Narasimhamurthy, A., 1 Oct 2008, In: Pattern Recognition. 41, 10, p. 3010-3020

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

8. 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

9. 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

10. 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

11. Published

    An experimental study on diversity for bagging and boosting with linear classifiers

    Kuncheva, L. I., Skurichina, M. & Duin, R. P., 1 Jan 2003, In: Information Fusion. 3, 2, p. 245-258

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

12. Published

    Using diversity in cluster ensembles.

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

    Research output: Contribution to conference › Paper

13. 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

14. Published

    Error bounds for aggressive and conservative AdaBoost.

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

    Research output: Contribution to conference › Paper

15. Published

    Selection of independent binary features using probabilities: An example from veterinary medicine

    Kuncheva, L. I., Hoare, Z. & Cockcroft, P. D., 1 Jan 2005, In: Journal of Modern Applied Statistical Methods. 4, 2, p. 528-537

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

16. Published

    Diagnosing scrapie in sheep: A classification experiment.

    Kuncheva, L. I., Vilas, V. J. & Rodriguez, J. J., 1 Aug 2007, In: Computers in Biology and Medicine. 37, 8, p. 1194-1202

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

17. Published

    Combining Pattern Classifiers: Methods and Algorithms.

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

    Research output: Book/Report › Book

18. 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

19. Published

    A theoretical study on six classifier fusion strategies.

    Kuncheva, L. I., 1 Feb 2002, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 24, 2, p. 281-286

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

20. 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

21. 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

22. Published

    Pattern Recognition.

    Kuncheva, L. I., Everitt, B. S. (ed.) & Howell, D. (ed.), 1 Jan 2005, Encyclopedia of Statistics in Behavioral Science. 2005 ed. Wiley, Vol. 3. p. 1532-1535

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

23. 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

24. 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

25. Published

    Automated kerogen classification in microscope images of dispersed kerogen preparation

    Kuncheva, L. I., Charles, J. J., Miles, N., Collins, A., Wells, B. & Lim, I. S., 1 Aug 2008, In: Mathematical Geosciences. 40, 6, p. 639-652

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