1. Article › Research › Peer-reviewed
2. 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

3. 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

4. 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

5. 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

6. 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

7. Published

   Learn ++.MF: A random subspace approach for the missing feature problem.

   Polikar, R., DePasquale, J., Mohammed, H. S., Brown, G. & Kuncheva, L. I., 1 Nov 2010, In: Pattern Recognition. 43, 11, p. 3817-3832

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

8. Published

   Limits on the majority vote accuracy in classifier fusion.

   Kuncheva, L. I., Whitaker, C. J., Shipp, C. A. & Duin, R. P., 1 Apr 2003, In: Pattern Analysis and Applications. 6, 1, p. 22-31

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

9. Published

   Marine DGNSS availability and continuity.

   Grant, A., Last, D., Kuncheva, L. I. & Ward, N., 1 Sept 2003, In: Journal of Navigation. 56, 3, p. 353-369

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

10. Published

    Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy.

    Kuncheva, L. I. & Whitaker, C. J., 1 May 2003, In: Machine Learning. 51, 2, p. 181-207

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

11. Published

    Moderate diversity for better cluster ensembles.

    Hadjitodorov, S. T., Kuncheva, L. I. & Todorova, L. P., 1 Sept 2006, In: Information Fusion. 7, 3, p. 264-275

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

12. Published

    Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data

    Plumpton, C. O., Kuncheva, L. I., Oosterhof, N. N. & Johnston, S. J., Jun 2012, In: Pattern Recognition. 45, 6, p. 2101-2108

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

13. Published

    Nearest prototype classifier designs: An experimental study.

    Bezdek, J. C. & Kuncheva, L. I., 1 Dec 2001, In: International Journal of Intelligent Systems. 16, 12, p. 1445-1473

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

14. Published

    Object segmentation within microscope images of palynofacies.

    Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jun 2008, In: Computers and Geosciences. 34, 6, p. 688-698

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

15. Published

    Occlusion Handling via Random Subspace Classifiers for Human Detection

    Kuncheva, L. I., Marin, J., Vazquez, D., Lopez, A. M., Amores, J. & Kuncheva L.I., [. V., 6 May 2013, In: IEEE Transactions on Cybernetics. 44, 3, p. 342-354

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

16. 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

17. Published

    On the optimality of Naive Bayes with dependent binary features.

    Kuncheva, L. I., 1 May 2006, In: Pattern Recognition Letters. 27, 7, p. 830-837

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

18. Published

    On the window size for classification in changing environments.

    Kuncheva, L. I. & Žliobaitė, I., 25 Nov 2009, In: Intelligent Data Analysis. 13, 6, p. 861-872

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

19. Published

    PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data

    Kuncheva, L. I. & Faithfull, W. J., 13 Mar 2014, In: IEEE Transactions on Neural Networks and Learning Systems. 25, 1, p. 69-80

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

20. Published

    Prototype Classifiers and the Big Fish. The Case of Prototype (Instance) Selection

    Kuncheva, L., 20 Apr 2020, In: IEEE Systems, Man, and Cybernetics Magazine. 6, 2, p. 49-56

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

21. Published

    ROC curves and video analysis optimization in intestinal capsule endoscopy.

    Vilarino, F., Kuncheva, L. I. & Radeva, P., 1 Jun 2006, In: Pattern Recognition Letters. 27, 8, p. 875-881

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

22. Published

    Random Balance ensembles for multiclass imbalance learning

    Rodriguez, J., Diez-Pastor, J.-F., Arnaiz-Gonzalez, A. & Kuncheva, L., 6 Apr 2020, In: Knowledge-Based Systems. 193, 24 p., 105434.

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

23. Published

    Random Balance: Ensembles of variable priors classifiers for imbalanced data

    Diez-Pastor, J. F., Rodriguez, J. J., Garcia-Osorio, C. & Kuncheva, L. I., 7 May 2015, In: Knowledge-Based Systems. 85, p. 96-111

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

24. 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

25. Published

    Relationships between combination methods and measures of diversity in combining classifiers

    Shipp, C. A. & Kuncheva, L. I., 1 Jan 2003, In: Information Fusion. 3, 2, p. 135-148

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

26. Published

    Restricted Set Classification with prior probabilities: A case study on chessboard recognition

    Kuncheva, L. & Constance, J., Aug 2018, In: Pattern Recognition Letters. 111, p. 36-42 7 p.

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