Ludmila I. Kuncheva

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 26

Top Venues

Publications

Ludmila I. Kuncheva, José Luis Garrido-Labrador, Ismael Ramos-Pérez, Samuel L. Hennessey, Juan José Rodríguez
Semi-supervised classification with pairwise constraints: A case study on animal identification from video. Inf. Fusion 104 (2024)
Ludmila I. Kuncheva, José Luis Garrido-Labrador, Ismael Ramos-Pérez, Samuel L. Hennessey, Juan J. Rodríguez
An experiment on animal re-identification from video. Ecol. Informatics 74 (2023)
Francis Williams, Ludmila I. Kuncheva, Juan José Rodríguez, Samuel Hennessey
Combination of Object Tracking and Object Detection for Animal Recognition. IPAS (2022)
Ludmila I. Kuncheva, Francis Williams, Samuel Hennessey, Juan J. Rodríguez
A Benchmark Database for Animal Re-Identification and Tracking. IPAS (2022)
Juan José Rodríguez, Mario Juez-Gil, Álvar Arnaiz-González, Ludmila I. Kuncheva
An experimental evaluation of mixup regression forests. Expert Syst. Appl. 151 (2020)
Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan José Rodríguez
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale. CoRR (2020)
Juan José Rodríguez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, Ludmila I. Kuncheva
Random Balance ensembles for multiclass imbalance learning. Knowl. Based Syst. 193 (2020)
Clare E. Matthews, Ludmila I. Kuncheva, Paria Yousefi
Classification and comparison of on-line video summarisation methods. Mach. Vis. Appl. 30 (3) (2019)
Iain A. D. Gunn, Ludmila I. Kuncheva
Bounds for the VC Dimension of 1NN Prototype Sets. CoRR (2019)
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn
Instance selection improves geometric mean accuracy: a study on imbalanced data classification. Prog. Artif. Intell. 8 (2) (2019)
William J. Faithfull, Juan José Rodríguez Diez, Ludmila I. Kuncheva
Combining univariate approaches for ensemble change detection in multivariate data. Inf. Fusion 45 (2019)
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification. CoRR (2018)
Ludmila I. Kuncheva, Paria Yousefi, Jurandy Almeida
Edited nearest neighbour for selecting keyframe summaries of egocentric videos. J. Vis. Commun. Image Represent. 52 (2018)
Iain A. D. Gunn, Álvar Arnaiz-González, Ludmila I. Kuncheva
A taxonomic look at instance-based stream classifiers. Neurocomputing 286 (2018)
Ludmila I. Kuncheva, James H. V. Constance
Restricted Set Classification with prior probabilities: A case study on chessboard recognition. Pattern Recognit. Lett. 111 (2018)
Ludmila I. Kuncheva, Juan José Rodríguez Diez
On feature selection protocols for very low-sample-size data. Pattern Recognit. 81 (2018)
Paria Yousefi, Ludmila I. Kuncheva
Selective Keyframe Summarisation for Egocentric Videos Based on Semantic Concept Search. IPAS (2018)
Paria Yousefi, Clare E. Matthews, Ludmila I. Kuncheva
Budget-Constrained Online Video Summarisation of Egocentric Video Using Control Charts. ISVC (2018)
Ludmila I. Kuncheva, Juan José Rodríguez Diez, Aaron S. Jackson
Restricted set classification: Who is there? Pattern Recognit. 63 (2017)
Ludmila I. Kuncheva, Paria Yousefi, Jurandy Almeida
Comparing keyframe summaries of egocentric videos: Closest-to-centroid baseline. IPTA (2017)
Iain A. D. Gunn, Ludmila I. Kuncheva, Paria Yousefi
Bipartite Graph Matching for Keyframe Summary Evaluation. CoRR (2017)
Ludmila I. Kuncheva, Paria Yousefi, Iain A. D. Gunn
On the Evaluation of Video Keyframe Summaries using User Ground Truth. CoRR (2017)
Ludmila I. Kuncheva, Iain A. D. Gunn
A concept-drift perspective on prototype selection and generation. IJCNN (2016)
José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio, Ludmila I. Kuncheva
Random Balance: Ensembles of variable priors classifiers for imbalanced data. Knowl. Based Syst. 85 (2015)
Ludmila I. Kuncheva, Mikel Galar
Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier. ICDM (2015)
José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio, Ludmila I. Kuncheva
Diversity techniques improve the performance of the best imbalance learning ensembles. Inf. Sci. 325 (2015)
Ludmila I. Kuncheva, Juan José Rodríguez Diez
A weighted voting framework for classifiers ensembles. Knowl. Inf. Syst. 38 (2) (2014)
Ludmila I. Kuncheva, William J. Faithfull
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Ludmila I. Kuncheva
Occlusion Handling via Random Subspace Classifiers for Human Detection. IEEE Trans. Cybern. 44 (3) (2014)
Ludmila I. Kuncheva, David Martínez-Rego, Kenneth S. L. Yuen, David E. J. Linden, Stephen J. Johnston
A spatial discrepancy measure between voxel sets in brain imaging. Signal Image Video Process. 8 (5) (2014)
William J. Faithfull, Ludmila I. Kuncheva
On Optimum Thresholding of Multivariate Change Detectors. S+SSPR (2014)
Ludmila I. Kuncheva, Aaron S. Jackson
Who Is Missing? A New Pattern Recognition Puzzle. S+SSPR (2014)
Ludmila I. Kuncheva, Juan José Rodríguez Diez
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis. Prog. Artif. Intell. 2 (1) (2013)
Ludmila I. Kuncheva
A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles. IEEE Trans. Knowl. Data Eng. 25 (3) (2013)
Ludmila I. Kuncheva
Change Detection in Streaming Multivariate Data Using Likelihood Detectors. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Catrin O. Plumpton, Ludmila I. Kuncheva, Nikolaas N. Oosterhof, Stephen J. Johnston
Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data. Pattern Recognit. 45 (6) (2012)
Ludmila I. Kuncheva, Juan José Rodríguez, Yasir Iftikhar Syed, Christopher O. Phillips, Keir Edward Lewis
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air. Int. J. Knowl. Discov. Bioinform. 3 (2) (2012)
Ludmila I. Kuncheva, William J. Faithfull
PCA feature extraction for change detection in multidimensional unlabelled streaming data. ICPR (2012)
Ludmila I. Kuncheva, Christopher J. Smith, Yasir Iftikhar Syed, Christopher O. Phillips, Keir Edward Lewis
Evaluation of Feature Ranking Ensembles for High-Dimensional Biomedical Data: A Case Study. ICDM Workshops (2012)
Ludmila I. Kuncheva, Thomas Christy, Iestyn Pierce, Sa'ad P. Mansoor
Multi-modal Biometric Emotion Recognition Using Classifier Ensembles. IEA/AIE (1) (2011)
Gavin Brown, Ludmila I. Kuncheva
"Good" and "Bad" Diversity in Majority Vote Ensembles. MCS (2010)
Ludmila I. Kuncheva
Full-class set classification using the Hungarian algorithm. Int. J. Mach. Learn. Cybern. 1 (1-4) (2010)
Robi Polikar, Joseph DePasquale, Hussein Syed Mohammed, Gavin Brown, Ludmila I. Kuncheva
.MF: A random subspace approach for the missing feature problem. Pattern Recognit. 43 (11) (2010)
Catrin O. Plumpton, Ludmila I. Kuncheva, David E. J. Linden, Stephen J. Johnston
On-Line fMRI Data Classification Using Linear and Ensemble Classifiers. ICPR (2010)
Alberto Dainotti, Francesco Gargiulo, Ludmila I. Kuncheva, Antonio Pescapè, Carlo Sansone
Identification of Traffic Flows Hiding behind TCP Port 80. ICC (2010)
Ludmila I. Kuncheva, Juan José Rodríguez Diez, Catrin O. Plumpton, David E. J. Linden, Stephen J. Johnston
Random Subspace Ensembles for fMRI Classification. IEEE Trans. Medical Imaging 29 (2) (2010)
Ludmila I. Kuncheva, Catrin O. Plumpton
Choosing Parameters for Random Subspace Ensembles for fMRI Classification. MCS (2010)
Indre Zliobaite, Ludmila I. Kuncheva
Determining the Training Window for Small Sample Size Classification with Concept Drift. ICDM Workshops (2009)
Ludmila I. Kuncheva, Indre Zliobaite
On the window size for classification in changing environments. Intell. Data Anal. 13 (6) (2009)
Francesco Gargiulo, Ludmila I. Kuncheva, Carlo Sansone
Network Protocol Verification by a Classifier Selection Ensemble. MCS (2009)
Juan José Rodríguez, Ludmila I. Kuncheva
Combining Online Classification Approaches for Changing Environments. SSPR/SPR (2008)
Ludmila I. Kuncheva, Catrin O. Plumpton
Adaptive Learning Rate for Online Linear Discriminant Classifiers. SSPR/SPR (2008)
Ludmila I. Kuncheva
Fuzzy classifiers. Scholarpedia 3 (1) (2008)
Ludmila I. Kuncheva, Indre Zliobaite
Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift. SSPR/SPR (2008)
J. J. Charles, Ludmila I. Kuncheva, B. Wells, Ik Soo Lim
Object segmentation within microscope images of palynofacies. Comput. Geosci. 34 (6) (2008)
Ludmila I. Kuncheva, J. Salvador Sánchez
Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling. ICDM (2008)
Ludmila I. Kuncheva, Christopher J. Whitaker, Anand M. Narasimhamurthy
A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers. Pattern Recognit. 41 (10) (2008)
J. J. Charles, Ludmila I. Kuncheva, B. Wells, Ik Soo Lim
Background Segmentation in Microscopy Images. VISAPP (1) (2008)
Ludmila I. Kuncheva
A stability index for feature selection. Artificial Intelligence and Applications (2007)
Ludmila I. Kuncheva, Juan José Rodríguez
An Experimental Study on Rotation Forest Ensembles. MCS (2007)
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
Selecting Diversifying Heuristics for Cluster Ensembles. MCS (2007)
J. Salvador Sánchez, Ludmila I. Kuncheva
Data reduction using classifier ensembles. ESANN (2007)
Ludmila I. Kuncheva, Juan José Rodríguez
Classifier Ensembles with a Random Linear Oracle. IEEE Trans. Knowl. Data Eng. 19 (4) (2007)
Ludmila I. Kuncheva, Victor J. del Rio Vilas, Juan J. Rodríguez Diez
Diagnosing scrapie in sheep: A classification experiment. Comput. Biol. Medicine 37 (8) (2007)
Anand M. Narasimhamurthy, Ludmila I. Kuncheva
A framework for generating data to simulate changing environments. Artificial Intelligence and Applications (2007)
Juan José Rodríguez, Ludmila I. Kuncheva
Naïve Bayes Ensembles with a Random Oracle. MCS (2007)
J. J. Charles, Ludmila I. Kuncheva, B. Wells, Ik Soo Lim
An Evaluation Measure of Image Segmentation Based on Object Centres. ICIAR (1) (2006)
Fernando Vilariño, Ludmila I. Kuncheva, Petia Radeva
ROC curves and video analysis optimization in intestinal capsule endoscopy. Pattern Recognit. Lett. 27 (8) (2006)
Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso
Rotation Forest: A New Classifier Ensemble Method. IEEE Trans. Pattern Anal. Mach. Intell. 28 (10) (2006)
Ludmila I. Kuncheva
On the optimality of Naïve Bayes with dependent binary features. Pattern Recognit. Lett. 27 (7) (2006)
Ludmila I. Kuncheva, Dmitry P. Vetrov
Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization. IEEE Trans. Pattern Anal. Mach. Intell. 28 (11) (2006)
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva, Ludmila P. Todorova
Moderate diversity for better cluster ensembles. Inf. Fusion 7 (3) (2006)
Ludmila I. Kuncheva, Stefan Todorov Hadjitodorov, Ludmila P. Todorova
Experimental Comparison of Cluster Ensemble Methods. FUSION (2006)
Ludmila I. Kuncheva
Using diversity measures for generating error-correcting output codes in classifier ensembles. Pattern Recognit. Lett. 26 (1) (2005)
Ludmila I. Kuncheva
Diversity in multiple classifier systems. Inf. Fusion 6 (1) (2005)
Ludmila I. Kuncheva
Classifier Ensembles for Changing Environments. Multiple Classifier Systems (2004)
Ludmila I. Kuncheva, Stefan Todorov Hadjitodorov
Using diversity in cluster ensembles. SMC (2) (2004)
Ludmila I. Kuncheva, Christopher J. Whitaker, Peter D. Cockcroft, Z. S. J. Hoare
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in. UAI (2004)
Christopher J. Whitaker, Ludmila I. Kuncheva, Peter D. Cockcroft
A Logodds Criterion for Selection of Diagnostic Tests. SSPR/SPR (2004)
Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin
Limits on the majority vote accuracy in classifier fusion. Pattern Anal. Appl. 6 (1) (2003)
Ludmila I. Kuncheva
"Fuzzy" versus "nonfuzzy" in combining classifiers designed by Boosting. IEEE Trans. Fuzzy Syst. 11 (6) (2003)
Ludmila I. Kuncheva, Christopher J. Whitaker
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy. Mach. Learn. 51 (2) (2003)
Ludmila I. Kuncheva
Error Bounds for Aggressive and Conservative AdaBoost. Multiple Classifier Systems (2003)
Ludmila I. Kuncheva
Switching between selection and fusion in combining classifiers: an experiment. IEEE Trans. Syst. Man Cybern. Part B 32 (2) (2002)
Ludmila I. Kuncheva, Christopher J. Whitaker
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse. Multiple Classifier Systems (2002)
Ludmila I. Kuncheva, Fabio Roli, Gian Luca Marcialis, Catherine A. Shipp
Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation. Multiple Classifier Systems (2001)
Ludmila I. Kuncheva, Christopher J. Whitaker
Feature Subsets for Classifier Combination: An Enumerative Experiment. Multiple Classifier Systems (2001)
Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin
Is Independence Good For Combining Classifiers? ICPR (2000)
Ludmila I. Kuncheva
Clustering-and-selection model for classifier combination. KES (2000)
Ameena S. Al-Zaidan, Ludmila I. Kuncheva
Selecting fuzzy connectives to represent heavy metal distribution in Liverpool Bay. KES (2000)
Ludmila I. Kuncheva
How good are fuzzy If-Then classifiers? IEEE Trans. Syst. Man Cybern. Part B 30 (4) (2000)
James C. Bezdek, James M. Keller, Raghu Krishnapuram, Ludmila I. Kuncheva, Nikhil R. Pal
Will the real iris data please stand up? IEEE Trans. Fuzzy Syst. 7 (3) (1999)
Ludmila I. Kuncheva, James C. Bezdek
Presupervised and post-supervised prototype classifier design. IEEE Trans. Neural Networks 10 (5) (1999)
Ludmila I. Kuncheva, James C. Bezdek
An Integrated Framework for Generalized Nearest Prototype Classifier Design. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6 (5) (1998)
Ludmila I. Kuncheva, James C. Bezdek
Nearest prototype classification: clustering, genetic algorithms, or random search? IEEE Trans. Syst. Man Cybern. Part C 28 (1) (1998)
Ludmila I. Kuncheva
Fitness functions in editing k-NN reference set by genetic algorithms. Pattern Recognit. 30 (6) (1997)
Ludmila I. Kuncheva, Raghu Krishnapuram
A fuzzy consensus aggregation operator. Fuzzy Sets Syst. 79 (3) (1996)
Ludmila I. Kuncheva
On the Equivalence between fuzzy and Statistical Classifiers. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 4 (3) (1996)
Ludmila I. Kuncheva
Editing for the k-nearest neighbors rule by a genetic algorithm. Pattern Recognit. Lett. 16 (8) (1995)
Ludmila I. Kuncheva, Sushmita Mitra
A two-level classification scheme trained by a fuzzy neural network. ICPR (2) (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ludmila I. Kuncheva