1. Published

   Using fuzzy similarities to analyze heavy metal distribution in a marine environment

   Al-Zaidan, A. S. & Kuncheva, L. I., 1 Jan 2001, p. 725-731.

   Research output: Contribution to conference › Paper

2. 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

3. Published

   An evaluation measure of image segmentation based on object centres.

   Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jan 2006, p. 283-294.

   Research output: Contribution to conference › Paper

4. 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

5. Published

   Stability of Kerogen Classification with Regard to Image Segmentation

   Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 May 2009, In: Mathematical Geosciences. 41, 4, p. 475-486

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

6. Published

   Background segmentation in microscope images.

   Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jan 2008.

   Research output: Contribution to conference › Paper

7. Published

   Technological Advancements in Affective Gaming: A Historical Survey

   Christy, T. P., Christy, T. & Kuncheva, L. I., 28 May 2014, In: GSTF Journal on Computing. 3, 4, p. 38

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

8. Published

   A.M.B.E.R. Shark-Fin: An Unobtrusive Affective Mouse

   Christy, T. P., Christy, T. & Kuncheva, L. I., 26 Feb 2013, p. 488-495.

   Research output: Contribution to conference › Paper

9. 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

10. 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

11. Published

    On Optimum Thresholding of Multivariate Change Detectors

    Faithfull, W. J., Kuncheva, L. I., Franti, P. (ed.), Brown, G. (ed.), Loog, M. (ed.), Escolano, F. (ed.) & Pelillo, M. (ed.), 20 Aug 2014, Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science. 2014 ed. Springer Berlin Heidelberg, p. 364-373

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

12. Published

    Combining univariate approaches for ensemble change detection in multivariate data

    Faithfull, W., Rodriguez, J. & Kuncheva, L., 1 Jan 2019, In: Information Fusion. 45, p. 202-214 13 p.

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

13. 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

14. Published

    A taxonomic look at instance-based stream classifier

    Gunn, I., Arnaiz-Gonzalez, A. & Kuncheva, L., 19 Apr 2018, In: Neurocomputing. 286, p. 167–178 12 p.

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

15. Published

    Developmental Biographies of Olympic Super-Elite and Elite Athletes: A Multidisciplinary Pattern Recognition Analysis

    Güllich, A., Hardy, L., Kuncheva, L., Woodman, T., Laing, S., Barlow, M., Lynne, E., Tim, R., Abernethy, B., Côté, J., Chelsea, W. & Wraith, E., Mar 2019, In: Journal of Expertise. 2, 1, p. 23-46 24 p.

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

16. 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

17. Published

    Selecting diversifying heuristics for cluster ensembles.

    Hadjitodorov, S. T. & Kuncheva, L. I., 1 Jan 2007, p. 200-209.

    Research output: Contribution to conference › Paper

18. 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

19. Published

    The Identification of ‘Game Changers’ in England Cricket’s Developmental Pathway for 3 Elite Spin Bowling: A Machine Learning Approach

    Jones, B., Hardy, L., Lawrence, G., Kuncheva, L., Brandon, R., Such, P. & Bobat, M., Jun 2019, In: Journal of Expertise. 2, 2, p. 92-120 29 p.

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

20. 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

21. Published

    A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles

    Kuncheva, L. I., 1 Mar 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 3, p. 494-501

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

22. Published

    Pre-selection of independent binary features: An application to diagnosing scrapie in sheep

    Kuncheva, L. I., Cockcroft, P. D., Whitaker, C. J. & Hoare, Z., 1 Jan 2004, p. 325-332.

    Research output: Contribution to conference › Paper

23. Published

    A fuzzy model of heavy metal loadings in marine environment.

    Kuncheva, L. I., Wrench, J., Jain, L. C., Al-Zaidan, A. S., Ruan, D. (ed.), Kacprzyk, J. (ed.) & Fedrizzi, M. (ed.), 1 Jan 2001, Soft Computing for Risk Assessment and Management. 2001 ed. Unknown, p. 355-371

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

24. 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

25. 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

26. Published

    Using measures of similarity and inclusion for multiple classifier fusion by decision templates

    Kuncheva, L. I., 16 Sept 2001, In: Fuzzy Sets and Systems. 122, 3, p. 401-407

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

27. Published

    `Fuzzy' vs `Non-fuzzy' in combining classifiers designed by boosting.

    Kuncheva, L. I., 1 Dec 2003, In: IEEE Transactions on Fuzzy Systems. 11, 6, p. 729-741

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

28. Published

    `Fuzzy' vs `non-fuzzy' in combining classifiers: an experimental study.

    Kuncheva, L. I., 1 Jan 2001, p. 11-22.

    Research output: Contribution to conference › Paper

29. 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., N. V., 6 May 2013, In: IEEE Transactions on Cybernetics. 44, 3, p. 342-354

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

30. 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

31. 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

32. 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

33. 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

34. 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

35. Published

    Using diversity in cluster ensembles.

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

    Research output: Contribution to conference › Paper

36. 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

37. 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

38. 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

39. 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

40. 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

41. Published

    Error bounds for aggressive and conservative AdaBoost.

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

    Research output: Contribution to conference › Paper

42. 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

43. 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

44. 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

45. 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

46. Published

    Combining Pattern Classifiers: Methods and Algorithms.

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

    Research output: Book/Report › Book

47. 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

48. 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

49. 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

50. 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