Professor Ludmila Kuncheva
Professor in Computer Science
Affiliations
Links
- https://lucykuncheva.co.uk/
Personal website - https://scholar.google.co.uk/citations?user=WIc3assAAAAJ&hl=en
Google Scholar Profile
Contact info
School of Computer Science, Bangor University Dean Street, Bangor, Gwynedd LL57 1UT
e-mail: l.i.kuncheva@bangor.ac.uk
- 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
- 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
- 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. 53-61Research output: Contribution to journal › Article › peer-review
- 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. 593-600Research output: Contribution to journal › Article › peer-review
- 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 journal › Article › peer-review
- 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. 65-72Research output: Contribution to journal › Article › peer-review
- 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. 144-168Research output: Contribution to journal › Article › peer-review
- 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. 3817-3832Research output: Contribution to journal › Article › peer-review
- 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. 22-31Research output: Contribution to journal › Article › peer-review
- 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. 353-369Research output: Contribution to journal › Article › peer-review
- Published
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy.
Kuncheva, L. I. & Whitaker, C. J., 1 May 2003, In: Machine Learning. 51, 2, p. 181-207Research output: Contribution to journal › Article › peer-review
- Published
Moderate diversity for better cluster ensembles.
Hadjitodorov, S. T., Kuncheva, L. I. & Todorova, L. P., 1 Sept 2006, In: Information Fusion. 7, 3, p. 264-275Research output: Contribution to journal › Article › peer-review
- 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
- 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. 2101-2108Research output: Contribution to journal › Article › peer-review
- Published
Nearest prototype classifier designs: An experimental study.
Bezdek, J. C. & Kuncheva, L. I., 1 Dec 2001, In: International Journal of Intelligent Systems. 16, 12, p. 1445-1473Research output: Contribution to journal › Article › peer-review
- Published
Object segmentation within microscope images of palynofacies.
Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jun 2008, In: Computers and Geosciences. 34, 6, p. 688-698Research output: Contribution to journal › Article › peer-review
- Published
Occlusion Handling via Random Subspace Classifiers for Human Detection
Kuncheva, L. I., Marin, J., Vazquez, D., Lopez, A. M., Amores, J. & Kuncheva L.I., N. V., 6 May 2013, In: IEEE Transactions on Cybernetics. 44, 3, p. 342-354Research output: Contribution to journal › Article › peer-review
- 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. 364-373Research output: Chapter in Book/Report/Conference proceeding › Chapter
- 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 journal › Article › peer-review
- Published
On the optimality of Naive Bayes with dependent binary features.
Kuncheva, L. I., 1 May 2006, In: Pattern Recognition Letters. 27, 7, p. 830-837Research output: Contribution to journal › Article › peer-review
- Published
On the window size for classification in changing environments.
Kuncheva, L. I. & Žliobaitė, I., 25 Nov 2009, In: Intelligent Data Analysis. 13, 6, p. 861-872Research output: Contribution to journal › Article › peer-review
- Published
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data
Kuncheva, L. I. & Faithfull, W. J., 13 Mar 2014, In: IEEE Transactions on Neural Networks and Learning Systems. 25, 1, p. 69-80Research output: Contribution to journal › Article › peer-review
- 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. 1532-1535Research output: Chapter in Book/Report/Conference proceeding › Chapter
- 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
- Published
Prototype Classifiers and the Big Fish. The Case of Prototype (Instance) Selection
Kuncheva, L., 20 Apr 2020, In: IEEE Systems, Man, and Cybernetics Magazine. 6, 2, p. 49-56Research output: Contribution to journal › Article › peer-review