Ludmila Kuncheva - Research outputs

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. 494-501

Research 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). IEEE

Research 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. 3010-3020

Research 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. 355-371

Research 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. 913-922

Research 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. 281-286

Research 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. 259-275

Research 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. 510-519

Research 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. 227-237

Research 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. 245-258

Research 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. 639-652

Research 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

Published

Change detection in streaming multivariate data using likelihood detectors

Kuncheva, L. I., 1 May 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 5, p. 1175-1180

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

Published

Classification and Comparison of On-Line Video Summarisation Methods

Matthews, C. E., Kuncheva, L. I. & Yousefi, P., Apr 2019, In: Machine Vision and Applications. 30, 3, p. 507-518

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

Published

Classifier ensembles for changing environments.

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

Research output: Contribution to conference › Paper

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

Published

Classifier ensembles for fMRI data analysis: an experiment.

Kuncheva, L. I. & Rodriguez, J. J., 1 May 2010, In: Magnetic Resonance Imaging. 28, 4, p. 583-593

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

Published

Classifier ensembles with a random linear oracle.

Kuncheva, L. I. & Rodriguez, J. J., 1 Apr 2007, In: IEEE Transactions on Knowledge and Data Engineering. 19, 4, p. 500-508

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

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

Published

Combining Pattern Classifiers: Methods and Algorithms.

Kuncheva, L. I., 1 Jan 2004, Wiley.

Research output: Book/Report › Book

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

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 journal › Article › peer-review

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 journal › Conference article › peer-review

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

Published

Data reduction using classifier ensembles.

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

Research output: Contribution to conference › Paper

Published

Decision templates for multiple classifier fusion: an experimental comparison.

Kuncheva, L. I., Bezdek, J. C. & Duin, R. P., 1 Feb 2001, In: Pattern Recognition. 34, 2, p. 299-314

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

Published

Developmental Biographies of Olympic Super-Elite and Elite Athletes: A Multidisciplinary Pattern Recognition Analysis

Güllich, A., Hardy, L., Kuncheva, L., Woodman, T., Laing, S., Barlow, M., Lynne, E., Tim, R., Abernethy, B., Côté, J., Chelsea, W. & Wraith, E., Mar 2019, In: Journal of Expertise. 2, 1, p. 23-46 24 p.

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

Published