Professor Ludmila Kuncheva

Professor in Computer Science

Contact info

School of Computer Science, Bangor University Dean Street, Bangor, Gwynedd LL57 1UT 

e-mail: l.i.kuncheva@bangor.ac.uk

  1. Article › Research › Peer-reviewed
  2. 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 journalArticlepeer-review

  3. 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 journalArticlepeer-review

  4. Published

    Animal Reidentification using Restricted Set Classification

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

    Research output: Contribution to journalArticlepeer-review

  5. 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 journalArticlepeer-review

  6. Published

    Change detection in streaming multivariate data using likelihood detectors

    Kuncheva, L. I., 1 May 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 5, p. 1175-1180

    Research output: Contribution to journalArticlepeer-review

  7. 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 journalArticlepeer-review

  8. Published

    Classifier ensembles for fMRI data analysis: an experiment.

    Kuncheva, L. I. & Rodriguez, J. J., 1 May 2010, In: Magnetic Resonance Imaging. 28, 4, p. 583-593

    Research output: Contribution to journalArticlepeer-review

  9. 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 journalArticlepeer-review

  10. 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 journalArticlepeer-review

  11. Published

    Decision templates for multiple classifier fusion: an experimental comparison.

    Kuncheva, L. I., Bezdek, J. C. & Duin, R. P., 1 Feb 2001, In: Pattern Recognition. 34, 2, p. 299-314

    Research output: Contribution to journalArticlepeer-review

  12. 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 journalArticlepeer-review

  13. 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 journalArticlepeer-review

  14. Published

    Diversity in multiple classifier systems.

    Kuncheva, L. I., 1 Jan 2005, In: Information Fusion. 6, 1, p. 3-4

    Research output: Contribution to journalArticlepeer-review

  15. 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 journalArticlepeer-review

  16. 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 journalArticlepeer-review

  17. 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 journalArticlepeer-review

  18. 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 journalArticlepeer-review

  19. 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 journalArticlepeer-review

  20. 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 journalArticlepeer-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 journalArticlepeer-review

  22. Published

    Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis

    Kuncheva, L. I. & Rodriguez, J. J., 25 Dec 2012, In: Progress in Artificial Intelligence. 2, 1, p. 65-72

    Research output: Contribution to journalArticlepeer-review

  23. 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 journalArticlepeer-review

  24. 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 journalArticlepeer-review

  25. Published

    Limits on the majority vote accuracy in classifier fusion.

    Kuncheva, L. I., Whitaker, C. J., Shipp, C. A. & Duin, R. P., 1 Apr 2003, In: Pattern Analysis and Applications. 6, 1, p. 22-31

    Research output: Contribution to journalArticlepeer-review

  26. Published

    Marine DGNSS availability and continuity.

    Grant, A., Last, D., Kuncheva, L. I. & Ward, N., 1 Sept 2003, In: Journal of Navigation. 56, 3, p. 353-369

    Research output: Contribution to journalArticlepeer-review