Ludmila I. Kuncheva

110 papers A* 2A 1B 7C 4Misc 1Journal 62Unranked 31
YearRankTypeTitle / Venue / Authors
2025 J jnl
Animal re-identification in video through track clustering.
Pattern Anal. Appl.
Francis J. Williams, Samuel L. Hennessey, Ludmila I. Kuncheva
2025 J jnl
Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals.
CoRR
José-Francisco Díez-Pastor, Francisco Javier Gonzalez-Moya, Pedro Latorre-Carmona, Francisco Javier Perez-Barbería, Ludmila I. Kuncheva, Antonio Canepa-Oneto, Álvar Arnaiz-González, César García-Osorio
2024 — conf
A Constrained Cluster Ensemble Using Hierarchical Clustering Methods.
IS
Francis J. Williams, Samuel L. Hennessey, Ludmila I. Kuncheva, José-Francisco Díez-Pastor, Juan José Rodríguez
2024 — conf
Hierarchical Vs Centroid-Based Constraint Clustering for Animal Video Data.
IS
Samuel L. Hennessey, Francis J. Williams, Ludmila I. Kuncheva
2024 J jnl
Semi-supervised classification with pairwise constraints: A case study on animal identification from video.
Inf. Fusion
Ludmila I. Kuncheva, José Luis Garrido-Labrador, Ismael Ramos-Pérez, Samuel L. Hennessey, Juan José Rodríguez
2023 J jnl
An experiment on animal re-identification from video.
Ecol. Informatics
Ludmila I. Kuncheva, José Luis Garrido-Labrador, Ismael Ramos-Pérez, Samuel L. Hennessey, Juan José Rodríguez
2022 C conf
A Benchmark Database for Animal Re-Identification and Tracking.
IPAS
Ludmila I. Kuncheva, Francis J. Williams, Samuel L. Hennessey, Juan José Rodríguez
2022 C conf
Combination of Object Tracking and Object Detection for Animal Recognition.
IPAS
Francis J. Williams, Ludmila I. Kuncheva, Juan José Rodríguez, Samuel L. Hennessey
2020 J jnl
An experimental evaluation of mixup regression forests.
Expert Syst. Appl.
Juan José Rodríguez, Mario Juez-Gil, Álvar Arnaiz-González, Ludmila I. Kuncheva
2020 J jnl
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale.
CoRR
Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan José Rodríguez
2020 J jnl
Random Balance ensembles for multiclass imbalance learning.
Knowl. Based Syst.
Juan José Rodríguez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, Ludmila I. Kuncheva
2019 J jnl
Bounds for the VC Dimension of 1NN Prototype Sets.
CoRR
Iain A. D. Gunn, Ludmila I. Kuncheva
2019 J jnl
Classification and comparison of on-line video summarisation methods.
Mach. Vis. Appl.
Clare E. Matthews, Ludmila I. Kuncheva, Paria Yousefi
2019 J jnl
Combining univariate approaches for ensemble change detection in multivariate data.
Inf. Fusion
William J. Faithfull, Juan José Rodríguez Diez, Ludmila I. Kuncheva
2019 J jnl
Instance selection improves geometric mean accuracy: a study on imbalanced data classification.
Prog. Artif. Intell.
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn
2018 J jnl
A taxonomic look at instance-based stream classifiers.
Neurocomputing
Iain A. D. Gunn, Álvar Arnaiz-González, Ludmila I. Kuncheva
2018 Misc conf
Budget-Constrained Online Video Summarisation of Egocentric Video Using Control Charts.
ISVC
Paria Yousefi, Clare E. Matthews, Ludmila I. Kuncheva
2018 J jnl
Edited nearest neighbour for selecting keyframe summaries of egocentric videos.
J. Vis. Commun. Image Represent.
Ludmila I. Kuncheva, Paria Yousefi, Jurandy Almeida
2018 J jnl
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification.
CoRR
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn
2018 J jnl
On feature selection protocols for very low-sample-size data.
Pattern Recognit.
Ludmila I. Kuncheva, Juan José Rodríguez Diez
2018 J jnl
Restricted Set Classification with prior probabilities: A case study on chessboard recognition.
Pattern Recognit. Lett.
Ludmila I. Kuncheva, James H. V. Constance
2018 C conf
Selective Keyframe Summarisation for Egocentric Videos Based on Semantic Concept Search.
IPAS
Paria Yousefi, Ludmila I. Kuncheva
2017 J jnl
Bipartite Graph Matching for Keyframe Summary Evaluation.
CoRR
Iain A. D. Gunn, Ludmila I. Kuncheva, Paria Yousefi
2017 — conf
Comparing keyframe summaries of egocentric videos: Closest-to-centroid baseline.
IPTA
Ludmila I. Kuncheva, Paria Yousefi, Jurandy Almeida
2017 J jnl
On the Evaluation of Video Keyframe Summaries using User Ground Truth.
CoRR
Ludmila I. Kuncheva, Paria Yousefi, Iain A. D. Gunn
2017 J jnl
Restricted set classification: Who is there?
Pattern Recognit.
Ludmila I. Kuncheva, Juan José Rodríguez Diez, Aaron S. Jackson
2016 B conf
A concept-drift perspective on prototype selection and generation.
IJCNN
Ludmila I. Kuncheva, Iain A. D. Gunn
2015 J jnl
Diversity techniques improve the performance of the best imbalance learning ensembles.
Inf. Sci.
José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio, Ludmila I. Kuncheva
2015 J jnl
Random Balance: Ensembles of variable priors classifiers for imbalanced data.
Knowl. Based Syst.
José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio, Ludmila I. Kuncheva
2015 A* conf
Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier.
ICDM
Ludmila I. Kuncheva, Mikel Galar
2014 J jnl
A spatial discrepancy measure between voxel sets in brain imaging.
Signal Image Video Process.
Ludmila I. Kuncheva, David Martínez-Rego, Kenneth S. L. Yuen, David E. J. Linden, Stephen J. Johnston
2014 J jnl
A weighted voting framework for classifiers ensembles.
Knowl. Inf. Syst.
Ludmila I. Kuncheva, Juan José Rodríguez Diez
2014 J jnl
Occlusion Handling via Random Subspace Classifiers for Human Detection.
IEEE Trans. Cybern.
Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Ludmila I. Kuncheva
2014 — conf
On Optimum Thresholding of Multivariate Change Detectors.
S+SSPR
William J. Faithfull, Ludmila I. Kuncheva
2014 J jnl
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data.
IEEE Trans. Neural Networks Learn. Syst.
Ludmila I. Kuncheva, William J. Faithfull
2014 — conf
Who Is Missing? A New Pattern Recognition Puzzle.
S+SSPR
Ludmila I. Kuncheva, Aaron S. Jackson
2013 J jnl
A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles.
IEEE Trans. Knowl. Data Eng.
Ludmila I. Kuncheva
2013 J jnl
Change Detection in Streaming Multivariate Data Using Likelihood Detectors.
IEEE Trans. Knowl. Data Eng.
Ludmila I. Kuncheva
2013 J jnl
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis.
Prog. Artif. Intell.
Ludmila I. Kuncheva, Juan José Rodríguez Diez
2012 J jnl
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air.
Int. J. Knowl. Discov. Bioinform.
Ludmila I. Kuncheva, Juan José Rodríguez, Yasir Iftikhar Syed, Christopher O. Phillips, Keir Edward Lewis
2012 — conf
Evaluation of Feature Ranking Ensembles for High-Dimensional Biomedical Data: A Case Study.
ICDM Workshops
Ludmila I. Kuncheva, Christopher J. Smith, Yasir Iftikhar Syed, Christopher O. Phillips, Keir Edward Lewis
2012 J jnl
Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data.
Pattern Recognit.
Catrin O. Plumpton, Ludmila I. Kuncheva, Nikolaas N. Oosterhof, Stephen J. Johnston
2012 B conf
PCA feature extraction for change detection in multidimensional unlabelled streaming data.
ICPR
Ludmila I. Kuncheva, William J. Faithfull
2011 — conf
Multi-modal Biometric Emotion Recognition Using Classifier Ensembles.
IEA/AIE (1)
Ludmila I. Kuncheva, Thomas Christy, Iestyn Pierce, Sa'ad P. Mansoor
2010 — conf
"Good" and "Bad" Diversity in Majority Vote Ensembles.
MCS
Gavin Brown, Ludmila I. Kuncheva
2010 — conf
Choosing Parameters for Random Subspace Ensembles for fMRI Classification.
MCS
Ludmila I. Kuncheva, Catrin O. Plumpton
2010 J jnl
Full-class set classification using the Hungarian algorithm.
Int. J. Mach. Learn. Cybern.
Ludmila I. Kuncheva
2010 — conf
Identification of Traffic Flows Hiding behind TCP Port 80.
ICC
Alberto Dainotti, Francesco Gargiulo, Ludmila I. Kuncheva, Antonio Pescapè, Carlo Sansone
2010 J jnl
Learn
Pattern Recognit.
Robi Polikar, Joseph DePasquale, Hussein Syed Mohammed, Gavin Brown, Ludmila I. Kuncheva
2010 B conf
On-Line fMRI Data Classification Using Linear and Ensemble Classifiers.
ICPR
Catrin O. Plumpton, Ludmila I. Kuncheva, David E. J. Linden, Stephen J. Johnston
2010 J jnl
Random Subspace Ensembles for fMRI Classification.
IEEE Trans. Medical Imaging
Ludmila I. Kuncheva, Juan José Rodríguez Diez, Catrin O. Plumpton, David E. J. Linden, Stephen J. Johnston
2009 — conf
Determining the Training Window for Small Sample Size Classification with Concept Drift.
ICDM Workshops
Indre Zliobaite, Ludmila I. Kuncheva
2009 — conf
Network Protocol Verification by a Classifier Selection Ensemble.
MCS
Francesco Gargiulo, Ludmila I. Kuncheva, Carlo Sansone
2009 J jnl
On the window size for classification in changing environments.
Intell. Data Anal.
Ludmila I. Kuncheva, Indre Zliobaite
2008 J jnl
A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers.
Pattern Recognit.
Ludmila I. Kuncheva, Christopher J. Whitaker, Anand M. Narasimhamurthy
2008 — conf
Adaptive Learning Rate for Online Linear Discriminant Classifiers.
SSPR/SPR
Ludmila I. Kuncheva, Catrin O. Plumpton
2008 — conf
Background Segmentation in Microscopy Images.
VISAPP (1)
J. J. Charles, Ludmila I. Kuncheva, B. Wells, Ik Soo Lim
2008 — conf
Combining Online Classification Approaches for Changing Environments.
SSPR/SPR
Juan José Rodríguez, Ludmila I. Kuncheva
2008 J jnl
Fuzzy classifiers.
Scholarpedia
Ludmila I. Kuncheva
2008 — conf
Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift.
SSPR/SPR
Ludmila I. Kuncheva, Indre Zliobaite
2008 A* conf
Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling.
ICDM
Ludmila I. Kuncheva, J. Salvador Sánchez
2008 J jnl
Object segmentation within microscope images of palynofacies.
Comput. Geosci.
J. J. Charles, Ludmila I. Kuncheva, B. Wells, Ik Soo Lim
2007 — conf
A framework for generating data to simulate changing environments.
Artificial Intelligence and Applications
Anand M. Narasimhamurthy, Ludmila I. Kuncheva
2007 — conf
A stability index for feature selection.
Artificial Intelligence and Applications
Ludmila I. Kuncheva
2007 — conf
An Experimental Study on Rotation Forest Ensembles.
MCS
Ludmila I. Kuncheva, Juan José Rodríguez
2007 J jnl
Classifier Ensembles with a Random Linear Oracle.
IEEE Trans. Knowl. Data Eng.
Ludmila I. Kuncheva, Juan José Rodríguez
2007 B conf
Data reduction using classifier ensembles.
ESANN
J. Salvador Sánchez, Ludmila I. Kuncheva
2007 J jnl
Diagnosing scrapie in sheep: A classification experiment.
Comput. Biol. Medicine
Ludmila I. Kuncheva, Victor J. del Rio Vilas, Juan J. Rodríguez Diez
2007 — conf
Naïve Bayes Ensembles with a Random Oracle.
MCS
Juan José Rodríguez, Ludmila I. Kuncheva
2007 — conf
Selecting Diversifying Heuristics for Cluster Ensembles.
MCS
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
2006 — conf
An Evaluation Measure of Image Segmentation Based on Object Centres.
ICIAR (1)
J. J. Charles, Ludmila I. Kuncheva, B. Wells, Ik Soo Lim
2006 J jnl
Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization.
IEEE Trans. Pattern Anal. Mach. Intell.
Ludmila I. Kuncheva, Dmitry P. Vetrov
2006 C conf
Experimental Comparison of Cluster Ensemble Methods.
FUSION
Ludmila I. Kuncheva, Stefan Todorov Hadjitodorov, Ludmila P. Todorova
2006 J jnl
Moderate diversity for better cluster ensembles.
Inf. Fusion
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva, Ludmila P. Todorova
2006 J jnl
On the optimality of Naïve Bayes with dependent binary features.
Pattern Recognit. Lett.
Ludmila I. Kuncheva
2006 J jnl
ROC curves and video analysis optimization in intestinal capsule endoscopy.
Pattern Recognit. Lett.
Fernando Vilariño, Ludmila I. Kuncheva, Petia Radeva
2006 J jnl
Rotation Forest: A New Classifier Ensemble Method.
IEEE Trans. Pattern Anal. Mach. Intell.
Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso
2005 J jnl
Diversity in multiple classifier systems.
Inf. Fusion
Ludmila I. Kuncheva
2005 J jnl
Using diversity measures for generating error-correcting output codes in classifier ensembles.
Pattern Recognit. Lett.
Ludmila I. Kuncheva
2004 — conf
A Logodds Criterion for Selection of Diagnostic Tests.
SSPR/SPR
Christopher J. Whitaker, Ludmila I. Kuncheva, Peter D. Cockcroft
2004 — conf
Classifier Ensembles for Changing Environments.
Multiple Classifier Systems
Ludmila I. Kuncheva
2004 — book
Combining Pattern Classifiers: Methods and Algorithms.
Ludmila I. Kuncheva
2004 A conf
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in.
UAI
Ludmila I. Kuncheva, Christopher J. Whitaker, Peter D. Cockcroft, Z. S. J. Hoare
2004 — conf
Using diversity in cluster ensembles.
SMC (2)
Ludmila I. Kuncheva, Stefan Todorov Hadjitodorov
2003 J jnl
"Fuzzy" versus "nonfuzzy" in combining classifiers designed by Boosting.
IEEE Trans. Fuzzy Syst.
Ludmila I. Kuncheva
2003 — conf
Error Bounds for Aggressive and Conservative AdaBoost.
Multiple Classifier Systems
Ludmila I. Kuncheva
2003 J jnl
Limits on the majority vote accuracy in classifier fusion.
Pattern Anal. Appl.
Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin
2003 J jnl
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy.
Mach. Learn.
Ludmila I. Kuncheva, Christopher J. Whitaker
2002 J jnl
Switching between selection and fusion in combining classifiers: an experiment.
IEEE Trans. Syst. Man Cybern. Part B
Ludmila I. Kuncheva
2002 — conf
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse.
Multiple Classifier Systems
Ludmila I. Kuncheva, Christopher J. Whitaker
2001 — conf
Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation.
Multiple Classifier Systems
Ludmila I. Kuncheva, Fabio Roli, Gian Luca Marcialis, Catherine A. Shipp
2001 — conf
Feature Subsets for Classifier Combination: An Enumerative Experiment.
Multiple Classifier Systems
Ludmila I. Kuncheva, Christopher J. Whitaker
2000 B conf
Clustering-and-selection model for classifier combination.
KES
Ludmila I. Kuncheva
2000 — book
Fuzzy Classifier Design
Ludmila I. Kuncheva
2000 J jnl
How good are fuzzy If-Then classifiers?
IEEE Trans. Syst. Man Cybern. Part B
Ludmila I. Kuncheva
2000 B conf
Is Independence Good For Combining Classifiers?
ICPR
Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin
2000 B conf
Selecting fuzzy connectives to represent heavy metal distribution in Liverpool Bay.
KES
Ameena S. Al-Zaidan, Ludmila I. Kuncheva
1999 J jnl
Presupervised and post-supervised prototype classifier design.
IEEE Trans. Neural Networks
Ludmila I. Kuncheva, James C. Bezdek
1999 J jnl
Will the real iris data please stand up?
IEEE Trans. Fuzzy Syst.
James C. Bezdek, James M. Keller, Raghu Krishnapuram, Ludmila I. Kuncheva, Nikhil R. Pal
1998 J jnl
An Integrated Framework for Generalized Nearest Prototype Classifier Design.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Ludmila I. Kuncheva, James C. Bezdek
1998 J jnl
Nearest prototype classification: clustering, genetic algorithms, or random search?
IEEE Trans. Syst. Man Cybern. Part C
Ludmila I. Kuncheva, James C. Bezdek
1997 J jnl
Fitness functions in editing k-NN reference set by genetic algorithms.
Pattern Recognit.
Ludmila I. Kuncheva
1996 J jnl
A fuzzy consensus aggregation operator.
Fuzzy Sets Syst.
Ludmila I. Kuncheva, Raghu Krishnapuram
1996 J jnl
On the Equivalence between fuzzy and Statistical Classifiers.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Ludmila I. Kuncheva
1995 J jnl
Editing for the k-nearest neighbors rule by a genetic algorithm.
Pattern Recognit. Lett.
Ludmila I. Kuncheva
1994 — conf
A two-level classification scheme trained by a fuzzy neural network.
ICPR (2)
Ludmila I. Kuncheva, Sushmita Mitra
1993 J jnl
'Change-glasses' approach in pattern recognition.
Pattern Recognit. Lett.
Ludmila I. Kuncheva
1992 J jnl
A critical comment on the paper "designing of classification procedures with the use of equality and difference operators".
Pattern Recognit.
Ludmila I. Kuncheva
1991 — conf
A Decision Making System in Aviation Medicine.
MIE
Ludmila I. Kuncheva, Rumen Z. Zlatev, Vania Raicheva
1990 J jnl
Using key features in pattern classification.
Pattern Recognit. Lett.
Vesselin Kissiov, Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva