1. 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

2. Published

   Using diversity in cluster ensembles.

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

   Research output: Contribution to conference › Paper

3. 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

4. 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

5. 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

6. 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

7. 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

8. Published

   Error bounds for aggressive and conservative AdaBoost.

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

   Research output: Contribution to conference › Paper

9. 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

10. 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

11. 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

12. 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

13. Published

    Combining Pattern Classifiers: Methods and Algorithms.

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

    Research output: Book/Report › Book

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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

26. 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

27. 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

28. 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

29. Published

    Animal Reidentification using Restricted Set Classification

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

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

30. 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

31. Published

    Adaptive Learning Rate for Online Linear Discriminant Classifiers

    Kuncheva, L. I. & Plumpton, C. O., 4 Dec 2008, Proceedings of the IAPR Workshop on Statistical, Structural and Syntactic Pattern Recognition (S+SSPR 2008). Orlando, Florida, USA, p. 510-519

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

32. 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

33. Published

    Using control charts for online video summarisation

    Matthews, C., Yousefi, P. & Kuncheva, L., 2018. 10 p.

    Research output: Contribution to conference › Paper › peer-review

34. Published

    Classification and Comparison of On-Line Video Summarisation Methods

    Matthews, C. E., Kuncheva, L. I. & Yousefi, P., Apr 2019, In: Machine Vision and Applications. 30, 3, p. 507-518

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

35. 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

36. 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

37. 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

38. Published

    Visualisation Data Modelling Graphics (VDMG) at Bangor

    Roberts, J. C., Ritsos, P. D., Kuncheva, L., Vidal, F., Lim, I. S., Ap Cenydd, L., Teahan, W., Mansoor, S., Gray, C. & Perkins, D., May 2021. 2 p.

    Research output: Contribution to conference › Paper › peer-review

39. 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

40. 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

41. 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

42. 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

43. Published

    An Experimental Evaluation of Mixup Regression Forests

    Rodriguez, J., Juez-Gil, M., Arnaiz-Gonzalez, A. & Kuncheva, L., 1 Aug 2020, In: Expert Systems with Applications. 151, 113376.

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

44. Published

    Data reduction using classifier ensembles.

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

    Research output: Contribution to conference › Paper

45. 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

46. 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

47. 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

48. 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

49. 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

50. 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