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 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 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 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

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 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

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

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 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

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

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

Diagnosing scrapie in sheep: A classification experiment.

Kuncheva, L. I., Vilas, V. J. & Rodriguez, J. J., 1 Aug 2007, In: Computers in Biology and Medicine. 37, 8, p. 1194-1202

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

Published

Diversity in multiple classifier systems.

Kuncheva, L. I., 1 Jan 2005, In: Information Fusion. 6, 1, p. 3-4

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

Published

Diversity techniques improve the performance of the best imbalance learning ensembles

Diez-Pastor, J. F., Rodriguez, J. J., Garcia-Osorio, C. I. & Kuncheva, L. I., 11 Jul 2015, In: Information Sciences. 325, p. 98-117

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

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 journal › Article › peer-review

Published

Error-dependency relationships for the Naive Bayes classifier with binary features

Kuncheva, L. & Hoare, Z. S., 1 Apr 2008, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 4, p. 735-740

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

Published

Evaluation of stability of k-means cluster ensembles with respect to random initialization

Kuncheva, L. I. & Vetrov, D. P., 1 Nov 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, 11, p. 1798-1808

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

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. 53-61

Research 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. 593-600

Research 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. 65-72

Research 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. 144-168

Research 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. 3817-3832

Research 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. 22-31

Research 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. 353-369

Research 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. 181-207

Research 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. 264-275

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

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. 2101-2108

Research 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. 1445-1473

Research 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. 688-698

Research 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. 342-354

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

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. 830-837

Research 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. 861-872

Research 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. 69-80

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

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. 49-56

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

Published

ROC curves and video analysis optimization in intestinal capsule endoscopy.

Vilarino, F., Kuncheva, L. I. & Radeva, P., 1 Jun 2006, In: Pattern Recognition Letters. 27, 8, p. 875-881

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

Published

Random Balance ensembles for multiclass imbalance learning

Rodriguez, J., Diez-Pastor, J-F., Arnaiz-Gonzalez, A. & Kuncheva, L., 6 Apr 2020, In: Knowledge-Based Systems. 193, 24 p., 105434.

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

Published

Random Balance: Ensembles of variable priors classifiers for imbalanced data

Diez-Pastor, J. F., Rodriguez, J. J., Garcia-Osorio, C. & Kuncheva, L. I., 7 May 2015, In: Knowledge-Based Systems. 85, p. 96-111

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

Published

Random Subspace Ensembles for fMRI Classification.

Kuncheva, L. I., Rodriguez, J. J., Plumpton, C. O., Linden, D. E. & Johnston, S. J., 1 Feb 2010, In: IEEE Transactions on Medical Imaging. 29, 2, p. 531-542

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

Published

Relationships between combination methods and measures of diversity in combining classifiers

Shipp, C. A. & Kuncheva, L. I., 1 Jan 2003, In: Information Fusion. 3, 2, p. 135-148

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

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 journal › Article › peer-review

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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