Prof 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

    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 journalArticlepeer-review

  3. 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 journalArticlepeer-review

  4. Published

    Selection of independent binary features using probabilities: An example from veterinary medicine

    Kuncheva, L. I., Hoare, Z. & Cockcroft, P. D., 1 Jan 2005, In: Journal of Modern Applied Statistical Methods. 4, 2, p. 528-537

    Research output: Contribution to journalArticlepeer-review

  5. Published

    Stability of Kerogen Classification with Regard to Image Segmentation

    Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 May 2009, In: Mathematical Geosciences. 41, 4, p. 475-486

    Research output: Contribution to journalArticlepeer-review

  6. Published

    Switching between selection and fusion in combining classifiers: An experiment

    Kuncheva, L. I., 1 Apr 2002, In: IEEE Transactions on SMC, Part B. 32, 2, p. 146-156

    Research output: Contribution to journalArticlepeer-review

  7. Published

    Technological Advancements in Affective Gaming: A Historical Survey

    Christy, T. P., Christy, T. & Kuncheva, L. I., 28 May 2014, In: GSTF Journal on Computing. 3, 4, p. 38

    Research output: Contribution to journalArticlepeer-review

  8. Published

    That elusive diversity in classifier ensembles.

    Kuncheva, L. I., 1 Jan 2003, In: Pattern Recognitions and Image Analysis: Proceedings. 2652, p. 1126-1138

    Research output: Contribution to journalArticlepeer-review

  9. 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 journalArticlepeer-review

  10. Published

    Using diversity measures for generating error-correcting output codes in classifier ensembles

    Kuncheva, L. I., 1 Jan 2005, In: Pattern Recognition Letters. 26, 1, p. 83-90

    Research output: Contribution to journalArticlepeer-review

  11. Published

    Using measures of similarity and inclusion for multiple classifier fusion by decision templates

    Kuncheva, L. I., 16 Sep 2001, In: Fuzzy Sets and Systems. 122, 3, p. 401-407

    Research output: Contribution to journalArticlepeer-review

  12. Published

    `Fuzzy' vs `Non-fuzzy' in combining classifiers designed by boosting.

    Kuncheva, L. I., 1 Dec 2003, In: IEEE Transactions on Fuzzy Systems. 11, 6, p. 729-741

    Research output: Contribution to journalArticlepeer-review

  13. Chapter › Research › Not peer-reviewed
  14. 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 proceedingChapter

  15. 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 proceedingChapter

  16. 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 proceedingChapter

  17. 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 proceedingChapter

  18. 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 proceedingChapter

  19. Conference contribution › Research › Peer-reviewed
  20. 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 proceedingConference contributionpeer-review

  21. 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 proceedingConference contributionpeer-review

  22. 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 proceedingConference contributionpeer-review

  23. 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 proceedingConference contributionpeer-review

  24. Paper › Research › Not peer-reviewed
  25. 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 conferencePaper

  26. 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 conferencePaper

  27. Published

    A stability index for feature selection.

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

    Research output: Contribution to conferencePaper

  28. 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 conferencePaper

  29. 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 conferencePaper

  30. Published

    An experimental study on Rotation Forest ensembles.

    Kuncheva, L. I. & Rodriguez, J. J., 1 Jan 2007, p. 459-468.

    Research output: Contribution to conferencePaper

  31. 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 conferencePaper

  32. Published

    Background segmentation in microscope images.

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

    Research output: Contribution to conferencePaper

  33. 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 conferencePaper

  34. Published

    Classifier ensembles for changing environments.

    Kuncheva, L. I., 1 Jan 2004, p. 1-15.

    Research output: Contribution to conferencePaper

  35. Published

    Classifier ensembles for detecting concept change in streaming data: Overview and perspectives

    Kuncheva, L. I., 1 Jan 2008, p. 5-10.

    Research output: Contribution to conferencePaper

  36. Published

    Complexity of data subsets generated by the random subspace method: An experimental investigation

    Kuncheva, L. I., Roli, F., Marcialis, G. L. & Shipp, C. A., 1 Jan 2001, p. 349-358.

    Research output: Contribution to conferencePaper

  37. Published

    Data reduction using classifier ensembles.

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

    Research output: Contribution to conferencePaper

  38. Published

    Error bounds for aggressive and conservative AdaBoost.

    Kuncheva, L. I., 1 Jan 2003, p. 25-34.

    Research output: Contribution to conferencePaper

  39. 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 conferencePaper

  40. Published

    Experimental comparison of cluster ensemble methods.

    Kuncheva, L. I., Hadjitodorov, S. T. & Todorova, L. P., 1 Jan 2006.

    Research output: Contribution to conferencePaper

  41. Published

    Feature subsets for classifier combination: An enumerative experiment.

    Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2001, p. 228-237.

    Research output: Contribution to conferencePaper

  42. 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 conferencePaper

  43. Published

    Naive Bayes ensembles with a random oracle.

    Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007, p. 450-458.

    Research output: Contribution to conferencePaper

  44. 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 conferencePaper

  45. Published

    Selecting diversifying heuristics for cluster ensembles.

    Hadjitodorov, S. T. & Kuncheva, L. I., 1 Jan 2007, p. 200-209.

    Research output: Contribution to conferencePaper

  46. 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 conferencePaper

  47. 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 conferencePaper

  48. Published

    Using diversity in cluster ensembles.

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

    Research output: Contribution to conferencePaper

  49. 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 conferencePaper

  50. 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 conferencePaper

  51. Published

    `Fuzzy' vs `non-fuzzy' in combining classifiers: an experimental study.

    Kuncheva, L. I., 1 Jan 2001, p. 11-22.

    Research output: Contribution to conferencePaper

  52. Paper › Research › Peer-reviewed
  53. Published

    Selective keyframe summarisation for egocentric videos based on semantic concept search

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

    Research output: Contribution to conferencePaperpeer-review

  54. Published

    Using control charts for online video summarisation

    Matthews, C., Yousefi, P. & Kuncheva, L., 2018. 10 p.

    Research output: Contribution to conferencePaperpeer-review

  55. 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 conferencePaperpeer-review