1. Paper › Research › Not peer-reviewed
2. 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

3. 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

4. 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

5. 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

6. Published

   Using diversity in cluster ensembles.

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

   Research output: Contribution to conference › Paper

7. 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

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. Conference contribution › Research › Peer-reviewed
11. 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

12. 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

13. 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

14. 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

15. Chapter › Research › Not peer-reviewed
16. 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

17. Published

    Combining classifiers: Soft computing solutions.

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

18. 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

19. 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

20. 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

21. Article › Research › Peer-reviewed
22. 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

23. 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

24. Published

    A spatial discrepancy measure between voxel sets in brain imaging

    Kuncheva, L. I., Martinez-Rego, D., Yuen, K. S., Linden, D. E. & Johnston, S. J., 15 May 2014, In: Signal, Image and Video Processing. 8, 5, p. 913-922

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

25. 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

26. 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

27. 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

28. 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

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