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
A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles
Kuncheva, L. I., 1 Mar 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 3, p. 494-501Research output: Contribution to journal › Article › peer-review
- 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
- 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). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
- Published
A case-study on naive labelling for the nearest mean and the linear discriminant classifiers
Kuncheva, L. I., Whitaker, C. J. & Narasimhamurthy, A., 1 Oct 2008, In: Pattern Recognition. 41, 10, p. 3010-3020Research output: Contribution to journal › Article › peer-review
- 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
- 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. 355-371Research output: Chapter in Book/Report/Conference proceeding › Chapter
- 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
- Published
A spatial discrepancy measure between voxel sets in brain imaging
Kuncheva, L. I., Martinez-Rego, D., Yuen, K. S., Linden, D. E. & Johnston, S. J., 15 May 2014, In: Signal, Image and Video Processing. 8, 5, p. 913-922Research output: Contribution to journal › Article › peer-review
- Published
A stability index for feature selection.
Kuncheva, L. I., 1 Jan 2007, p. 390-395.Research output: Contribution to conference › Paper
- 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 journal › Article › peer-review
- Published
A theoretical study on six classifier fusion strategies.
Kuncheva, L. I., 1 Feb 2002, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 24, 2, p. 281-286Research output: Contribution to journal › Article › peer-review
- Published
A weighted voting framework for classifiers ensembles
Kuncheva, L. I. & Rodríguez, J. J., 1 Feb 2014, In: Knowledge and Information Systems. 38, 2, p. 259-275Research output: Contribution to journal › Article › peer-review
- 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
- 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. 510-519Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
- Published
An Experiment on Animal Re-Identification from Video
Kuncheva, L., Garrido-Labrador, J., Ramos-Perez, I., Hennessey, S. & Rodriguez, J., 1 May 2023, In: Ecological Informatics.Research output: Contribution to journal › Article › peer-review
- Published
An Experimental Evaluation of Mixup Regression Forests
Rodriguez, J., Juez-Gil, M., Arnaiz-Gonzalez, A. & Kuncheva, L., 1 Aug 2020, In: Expert Systems with Applications. 151, 113376.Research output: Contribution to journal › Article › peer-review
- 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. 227-237Research output: Contribution to journal › Article › peer-review
- 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
- 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
- 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. 245-258Research output: Contribution to journal › Article › peer-review
- 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
- Published
Animal Reidentification using Restricted Set Classification
Kuncheva, L., May 2021, In: Ecological Informatics. 62, 101225.Research output: Contribution to journal › Article › peer-review
- 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. 639-652Research output: Contribution to journal › Article › peer-review
- 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
- 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