1. 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

2. 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

3. Published

   Effects of hyper-parameters in online constrained clustering: A study on animal videos

   Williams, F. & Kuncheva, L., 5 Dec 2023.

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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. Published

    Data reduction using classifier ensembles.

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

    Research output: Contribution to conference › Paper

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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