School of Computer Science, Bangor University Dean Street, Bangor, Gwynedd LL57 1UT 

e-mail: l.i.kuncheva@bangor.ac.uk

ICP1016 Mathematics for Computing

ICP2021 Algorithm Design with MATLAB

ICP3083 Pattern Recognition and Neural Networks

ICP3099 Final Year Project

Pattern Recognition, Machine Learning

2024

• PublishedA Constrained Cluster Ensemble Using Hierarchical Clustering Methods
  Williams, F., Kuncheva, L., Hennessey, S., Diez-Pastor, J. & Rodriguez, J., Aug 2024.
  Research output: Contribution to conference › Paper › peer-review
• PublishedHierarchical Vs Centroid-Based Constraint Clustering for Animal Video Data
  Hennessey, S., Williams, F. & Kuncheva, L., 29 Aug 2024. 6 p.
  Research output: Contribution to conference › Paper › peer-review
• PublishedSemi-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

2023

• PublishedA 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
• PublishedAn 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
• PublishedEffects of hyper-parameters in online constrained clustering: A study on animal videos
  Williams, F. & Kuncheva, L., 5 Dec 2023.
  Research output: Contribution to conference › Paper › peer-review

2022

• PublishedCombination 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

2021

• PublishedAnimal Reidentification using Restricted Set Classification
  Kuncheva, L., May 2021, In: Ecological Informatics. 62, 101225.
  Research output: Contribution to journal › Article › peer-review
• PublishedVisualisation Data Modelling Graphics (VDMG) at Bangor
  Roberts, J. C., Ritsos, P. D., Kuncheva, L., Vidal, F., Lim, I. S., Ap Cenydd, L., Teahan, W., Mansoor, S., Gray, C. & Perkins, D., May 2021. 2 p.
  Research output: Contribution to conference › Paper › peer-review

2020

• PublishedAn 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
• PublishedIt 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
• SubmittedJISC/Bangor University Learning Analytics Project Summary & Case Study
  Gray, C., Perkins, D., Ritsos, P. D. & Kuncheva, L., 20 May 2020, (Submitted) 8 p.
  Research output: Book/Report › Commissioned report
• PublishedPrototype 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
• PublishedRandom 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

2019

• PublishedClassification 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
• PublishedCombining 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
• PublishedDevelopmental 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
• PublishedInstance 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
• PublishedThe 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., Du Preez, T., 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

2018

• PublishedA 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
• PublishedComparing 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
• PublishedEdited 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
• PublishedOn 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
• PublishedRestricted 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
• PublishedSelective keyframe summarisation for egocentric videos based on semantic concept search
  Yousefi, P. & Kuncheva, L., 2018. 6 p.
  Research output: Contribution to conference › Paper › peer-review
• PublishedUsing control charts for online video summarisation
  Matthews, C., Yousefi, P. & Kuncheva, L., 2018. 10 p.
  Research output: Contribution to conference › Paper › peer-review

2017

• PublishedRestricted 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

2016

• PublishedA 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

2015

• PublishedDiversity 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
• PublishedRandom 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

2014

• PublishedA 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
• PublishedA 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
• PublishedOn Optimum Thresholding of Multivariate Change Detectors
  Faithfull, W. J., Kuncheva, L. I., Franti, P. (Editor), Brown, G. (Editor), Loog, M. (Editor), Escolano, F. (Editor) & Pelillo, M. (Editor), 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
• PublishedPCA 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
• PublishedTechnological 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
• PublishedWho Is Missing? A New Pattern Recognition Puzzle
  Kuncheva, L. I., Kuncheav, L. I., Jackson, A. S., Franti, P. (Editor), Brown, G. (Editor), Loog, M. (Editor), Escolano, F. (Editor) & Pelillo, M. (Editor), 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

2013

• PublishedA 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
• PublishedA.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
• PublishedChange 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
• PublishedOcclusion Handling via Random Subspace Classifiers for Human Detection
  Kuncheva, L. I., Marin, J., Vazquez, D., Lopez, A. M., Amores, J. & Kuncheva L.I., [. V., 6 May 2013, In: IEEE Transactions on Cybernetics. 44, 3, p. 342-354
  Research output: Contribution to journal › Article › peer-review

2012

• PublishedInterval 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
• PublishedNaive 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

2010

• PublishedClassifier 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
• PublishedFull-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
• PublishedLearn ++.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
• PublishedRandom 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

2009

• PublishedOn 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
• PublishedStability 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

2008

• PublishedA 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
• PublishedAdaptive 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
• PublishedAutomated 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
• PublishedBackground segmentation in microscope images.
  Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jan 2008.
  Research output: Contribution to conference › Paper
• PublishedClassifier 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
• PublishedError-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
• PublishedObject 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

2007

• PublishedA 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
• PublishedAn experimental study on Rotation Forest ensembles.
  Kuncheva, L. I. & Rodriguez, J. J., 1 Jan 2007, p. 459-468.
  Research output: Contribution to conference › Paper
• PublishedA stability index for feature selection.
  Kuncheva, L. I., 1 Jan 2007, p. 390-395.
  Research output: Contribution to conference › Paper
• PublishedClassifier 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
• PublishedData reduction using classifier ensembles.
  Sanchez, J. S. & Kuncheva, L. I., 1 Jan 2007.
  Research output: Contribution to conference › Paper
• PublishedDiagnosing 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
• PublishedNaive Bayes ensembles with a random oracle.
  Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007, p. 450-458.
  Research output: Contribution to conference › Paper
• PublishedSelecting diversifying heuristics for cluster ensembles.
  Hadjitodorov, S. T. & Kuncheva, L. I., 1 Jan 2007, p. 200-209.
  Research output: Contribution to conference › Paper
• PublishedTime series classification: Decision forests and SVM on interval and DTW features
  Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007.
  Research output: Contribution to conference › Paper

2006

• PublishedAn 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
• PublishedEvaluation 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
• PublishedExperimental comparison of cluster ensemble methods.
  Kuncheva, L. I., Hadjitodorov, S. T. & Todorova, L. P., 1 Jan 2006.
  Research output: Contribution to conference › Paper
• PublishedModerate 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
• PublishedOn 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
• PublishedROC 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
• PublishedRotation 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

2005

• PublishedAn 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
• PublishedDiversity 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
• PublishedPattern Recognition.
  Kuncheva, L. I., Everitt, B. S. (Editor) & Howell, D. (Editor), 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
• PublishedSelection 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
• PublishedUsing 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

2004

• PublishedA logodds criterion for selection of diagnostic tests.
  Whitaker C.J., [. V., Kuncheva, L. I. & Cockcroft, P. D., 1 Jan 2004, p. 575-582.
  Research output: Contribution to conference › Paper
• PublishedClassifier ensembles for changing environments.
  Kuncheva, L. I., 1 Jan 2004, p. 1-15.
  Research output: Contribution to conference › Paper
• PublishedCombining Pattern Classifiers: Methods and Algorithms.
  Kuncheva, L. I., 1 Jan 2004, Wiley.
  Research output: Book/Report › Book
• PublishedPre-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
• PublishedUsing diversity in cluster ensembles.
  Kuncheva, L. I. & Hadjitodorov, S. T., 1 Jan 2004, p. 1214-1219.
  Research output: Contribution to conference › Paper

2003

• PublishedAn 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
• PublishedError bounds for aggressive and conservative AdaBoost.
  Kuncheva, L. I., 1 Jan 2003, p. 25-34.
  Research output: Contribution to conference › Paper
• PublishedExamining the relationship between majority vote accuracy and diversity in bagging and boosting
  Whitaker, C. J. & Kuncheva, L. I., 1 Jan 2003.
  Research output: Contribution to conference › Paper
• 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
• PublishedLimits 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
• PublishedMarine 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
• PublishedMeasures 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
• PublishedRelationships 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
• PublishedThat 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

2002

• PublishedAn 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
• PublishedA 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
• PublishedBagging 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
• PublishedGenerating 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
• PublishedSwitching 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
• PublishedUsing diversity with three variants of boosting: aggressive, conservative and inverse
  Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2002, p. 81-90.
  Research output: Contribution to conference › Paper

2001

• PublishedA fuzzy model of heavy metal loadings in marine environment.
  Kuncheva, L. I., Wrench, J., Jain, L. C., Al-Zaidan, A. S., Ruan, D. (Editor), Kacprzyk, J. (Editor) & Fedrizzi, M. (Editor), 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
• PublishedCombining classifiers: Soft computing solutions.
  Kuncheva, L. I., Pal, S. K. (Editor) & Pal, A. (Editor), 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
• PublishedComplexity 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
• PublishedDecision 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
• PublishedFeature 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
• PublishedFour 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`Fuzzy' vs `non-fuzzy' in combining classifiers: an experimental study.
  Kuncheva, L. I., 1 Jan 2001, p. 11-22.
  Research output: Contribution to conference › Paper
• PublishedNearest 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
• PublishedTen measures of diversity in classifier ensembles: Limits for two classifiers.
  Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2001.
  Research output: Contribution to conference › Paper
• PublishedUsing fuzzy similarities to analyze heavy metal distribution in a marine environment
  Al-Zaidan, A. S. & Kuncheva, L. I., 1 Jan 2001, p. 725-731.
  Research output: Contribution to conference › Paper
• PublishedUsing 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

• Prototype Selection from Streaming, Drifting and Partly Labelled Data

  01/12/2015 – 01/08/2019 (Finished)

• Feature selection for COPD diagnosis

  01/07/2011 – 31/07/2012 (Finished)

• Ktp With Semantise Ltd.

  01/06/2006 – 01/10/2010 (Finished)