1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. Published

   A logodds criterion for selection of diagnostic tests.

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

   Research output: Contribution to conference › Paper

8. 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

9. Published

   A stability index for feature selection.

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

   Research output: Contribution to conference › Paper

10. 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

11. 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

12. 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

13. Published

    A.M.B.E.R. Shark-Fin: An Unobtrusive Affective Mouse

    Christy, T. P., Christy, T. & Kuncheva, L. I., 26 Feb 2013, p. 488-495.

    Research output: Contribution to conference › Paper

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. Published

    Animal Reidentification using Restricted Set Classification

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

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

23. 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

24. Published

    Background segmentation in microscope images.

    Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jan 2008.

    Research output: Contribution to conference › Paper

25. 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