1. 2001
2. 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. (Editor), Kacprzyk, J. (Editor) & Fedrizzi, M. (Editor), 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

3. Published

   Combining classifiers: Soft computing solutions.

   Kuncheva, L. I., Pal, S. K. (Editor) & Pal, A. (Editor), 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

4. 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

5. Published

   Feature subsets for classifier combination: An enumerative experiment.

   Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2001, p. 228-237.

   Research output: Contribution to conference › Paper

6. Published

   Four measures of data complexity for bootstrapping, splitting and feature sampling

   Shipp, C. A. & Kuncheva, L. I., 1 Jan 2001, p. 429-435.

   Research output: Contribution to conference › Paper

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 2002
14. Published

    An investigation into how AdaBoost affects classifier diversity.

    Shipp, C. A. & Kuncheva, L. I., 1 Jan 2002, p. 203-208.

    Research output: Contribution to conference › Paper

15. 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

16. Published

    Using diversity with three variants of boosting: aggressive, conservative and inverse

    Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2002, p. 81-90.

    Research output: Contribution to conference › Paper

17. 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

18. 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

19. Published

    Switching between selection and fusion in combining classifiers: An experiment

    Kuncheva, L. I., 1 Apr 2002, In: IEEE Transactions on SMC, Part B. 32, 2, p. 146-156

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

20. 2003
21. 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

22. Published

    Error bounds for aggressive and conservative AdaBoost.

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

    Research output: Contribution to conference › Paper

23. Published

    Examining the relationship between majority vote accuracy and diversity in bagging and boosting

    Whitaker, C. J. & Kuncheva, L. I., 1 Jan 2003.

    Research output: Contribution to conference › Paper

24. 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

25. Published

    That elusive diversity in classifier ensembles.

    Kuncheva, L. I., 1 Jan 2003, In: Pattern Recognitions and Image Analysis: Proceedings. 2652, p. 1126-1138

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

26. 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

27. 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

28. 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

29. 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

30. 2004
31. Published

    A logodds criterion for selection of diagnostic tests.

    Whitaker C.J., [. V., Kuncheva, L. I. & Cockcroft, P. D., 1 Jan 2004, p. 575-582.

    Research output: Contribution to conference › Paper

32. Published

    Classifier ensembles for changing environments.

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

    Research output: Contribution to conference › Paper

33. Published

    Combining Pattern Classifiers: Methods and Algorithms.

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

    Research output: Book/Report › Book

34. 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

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. 2005
37. 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

38. Published

    Pattern Recognition.

    Kuncheva, L. I., Everitt, B. S. (Editor) & Howell, D. (Editor), 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

39. 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

40. 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

41. Published

    An ensemble-based method for linear feature extraction for two-class problems.

    Masip, D., Kuncheva, L. I. & Vitria, J., 1 Dec 2005, In: Pattern Analysis and Applications. 8, 3, p. 227-237

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

42. 2006
43. 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

44. 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

45. 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

46. 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

47. 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

48. Published

    Rotation forest: A new classifier ensemble method.

    Rodriguez, J. J. & Kuncheva, L. I., 1 Oct 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, 10, p. 1619-1630

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

49. 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

50. 2007
51. Published

    A framework for generating data to simulate changing environments.

    Narasimhamurthy, A. & Kuncheva, L. I., 1 Jan 2007, p. 384-389.

    Research output: Contribution to conference › Paper

52. Published

    A stability index for feature selection.

    Kuncheva, L. I., 1 Jan 2007, p. 390-395.

    Research output: Contribution to conference › Paper

53. 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

54. Published

    Data reduction using classifier ensembles.

    Sanchez, J. S. & Kuncheva, L. I., 1 Jan 2007.

    Research output: Contribution to conference › Paper

55. Published

    Naive Bayes ensembles with a random oracle.

    Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007, p. 450-458.

    Research output: Contribution to conference › Paper

56. 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

57. Published

    Time series classification: Decision forests and SVM on interval and DTW features

    Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007.

    Research output: Contribution to conference › Paper