1. Published

   A stability index for feature selection.

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

   Research output: Contribution to conference › Paper

2. 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

3. 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

4. Published

   A weighted voting framework for classifiers ensembles

   Kuncheva, L. I. & Rodríguez, J. J., 1 Feb 2014, In: Knowledge and Information Systems. 38, 2, p. 259-275

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

5. Published

   Change detection in streaming multivariate data using likelihood detectors

   Kuncheva, L. I., 1 May 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 5, p. 1175-1180

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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

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

    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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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

24. Published

    Using diversity in cluster ensembles.

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

    Research output: Contribution to conference › Paper

25. 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

26. Published

    Error bounds for aggressive and conservative AdaBoost.

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

    Research output: Contribution to conference › Paper

27. 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

28. 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

29. Published

    Combining Pattern Classifiers: Methods and Algorithms.

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

    Research output: Book/Report › Book

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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

37. 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

38. Published

    An Experiment on Animal Re-Identification from Video

    Kuncheva, L., Garrido-Labrador, J., Ramos-Perez, I., Hennessey, S. & Rodriguez, J., 1 May 2023, In: Ecological Informatics.

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

39. 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

40. 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

41. Published

    Comparing Keyframe Summaries of Egocentric Videos: Closest-to-Centroid Baseline

    Kuncheva, L., Yousefi, P. & Almeida, J., 12 Mar 2018, In: International Conference on Image Processing Theory, Tools and Applications (IPTA).

    Research output: Contribution to journal › Conference article › peer-review

42. 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

43. 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

44. 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

45. 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

46. Published

    A benchmark database for animal re-identification and tracking

    Kuncheva, L., Hennessey, S., Williams, F. & Rodriguez, J., 6 Dec 2023, Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE

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

47. Published

    Semi-Supervised Classification With Pairwise Constraints: A Case Study on Animal Identification from Video

    Kuncheva, L., Garrido-Labrador, J., Ramos-Perez, I., Hennessey, S. & Rodriguez, J., 1 Apr 2024, In: Information Fusion. 104, 102188.

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

48. Published

    Animal Reidentification using Restricted Set Classification

    Kuncheva, L., May 2021, In: Ecological Informatics. 62, 101225.

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

49. 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

50. Published

    Restricted Set Classification: Who is there?, Pattern Recognition

    Kuncheva, L. I., Rodriguez, J. J. & Jackson, A. S., 1 Mar 2017, In: Pattern Recognition. 63, C, p. 158-170

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