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. 2017
  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. 2018
  4. 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

  5. Published

    Using control charts for online video summarisation

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

    Research output: Contribution to conferencePaperpeer-review

  6. Published

    Comparing Keyframe Summaries of Egocentric Videos: Closest-to-Centroid Baseline

    Kuncheva, L., Yousefi, P. & Almeida, J., 12 Mar 2018, In: International Conference on Image Processing Theory, Tools and Applications (IPTA).

    Research output: Contribution to journalConference articlepeer-review

  7. 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

  8. 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 journalArticlepeer-review

  9. Published

    Restricted Set Classification with prior probabilities: A case study on chessboard recognition

    Kuncheva, L. & Constance, J., Aug 2018, In: Pattern Recognition Letters. 111, p. 36-42 7 p.

    Research output: Contribution to journalArticlepeer-review

  10. Published

    On feature selection protocols for very low-sample-size data

    Kuncheva, L. & Rodriguez, J., Sept 2018, In: Pattern Recognition. 81, p. 660-673 14 p.

    Research output: Contribution to journalArticlepeer-review

  11. 2019
  12. 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

  13. 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