Research Portal

Professor Ludmila Kuncheva

Professor in Computer Science

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Links

ORCID: 0000-0002-0415-6964

Contact info

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

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

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  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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-review

  5. Published

    Semi-Supervised Classification With Pairwise Constraints: A Case Study on Animal Identification from Video

    Kuncheva, L., Garrido-Labrador, J., Ramos-Perez, I., Hennessey, S. & Rodriguez, J., 1 Apr 2024, In: Information Fusion. 104, 102188.

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

  6. 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 journal › Article › peer-review

  7. 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 journal › Article › peer-review

  8. 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 journal › Article › peer-review

  9. 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 journal › Article › peer-review

  10. 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 journal › Article › peer-review

  11. 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 journal › Article › peer-review

  12. Published

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

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

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

  13. 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 journal › Article › peer-review

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 Chapter › Research › Not peer-reviewed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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Conference contribution › Research › Peer-reviewed
  21. 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

  22. 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

  23. 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

  24. 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

  25. Paper › Research › Not peer-reviewed
  26. 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

  27. 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

  28. Published

    A stability index for feature selection.

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

    Research output: Contribution to conference › Paper

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. Published

    Classifier ensembles for changing environments.

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

    Research output: Contribution to conference › Paper

  36. 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 conference › Paper

  37. 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 conference › Paper

  38. Published

    Data reduction using classifier ensembles.

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

    Research output: Contribution to conference › Paper

  39. Published

    Error bounds for aggressive and conservative AdaBoost.

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

    Research output: Contribution to conference › Paper

  40. 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

  41. Published

    Experimental comparison of cluster ensemble methods.

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

    Research output: Contribution to conference › Paper

  42. 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 conference › Paper

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. Published

    Using diversity in cluster ensembles.

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

    Research output: Contribution to conference › Paper

  50. 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

  51. 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

  52. 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

  53. Paper › Research › Peer-reviewed
  54. 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

  55. 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

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