1. 2014
2. 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

3. Published

   Who Is Missing? A New Pattern Recognition Puzzle

   Kuncheva, L. I., Kuncheav, L. I., Jackson, A. S., 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. 243-252

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

4. 2015
5. 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

6. 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

7. 2016
8. 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

9. 2017
10. 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

11. 2018
12. Published

    Selective keyframe summarisation for egocentric videos based on semantic concept search

    Yousefi, P. & Kuncheva, L., 2018. 6 p.

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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 2019
20. 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

21. 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

22. 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

23. 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

24. 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

25. 2020
26. 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

27. 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

28. 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

29. 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

30. 2021
31. Published

    Animal Reidentification using Restricted Set Classification

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

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

32. 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

33. 2022
34. Published

    Combination of Object Tracking and Object Detection for Animal Recognition

    Williams, F., Kuncheva, L., Rodriguez, J. & Hennessey, S., 6 Dec 2022, 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