Ludmila I. Kuncheva

According to our database1, Ludmila I. Kuncheva
  • authored at least 108 papers between 1990 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
Restricted set classification: Who is there?
Pattern Recognition, 2017

2016
A concept-drift perspective on prototype selection and generation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Getting Lost in the Wealth of Classifier Ensembles?
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015
Random Balance: Ensembles of variable priors classifiers for imbalanced data.
Knowl.-Based Syst., 2015

Diversity techniques improve the performance of the best imbalance learning ensembles.
Inf. Sci., 2015

Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data.
IEEE Trans. Neural Netw. Learning Syst., 2014

Occlusion Handling via Random Subspace Classifiers for Human Detection.
IEEE Trans. Cybernetics, 2014

A spatial discrepancy measure between voxel sets in brain imaging.
Signal, Image and Video Processing, 2014

A weighted voting framework for classifiers ensembles.
Knowl. Inf. Syst., 2014

Who Is Missing? A New Pattern Recognition Puzzle.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

On Optimum Thresholding of Multivariate Change Detectors.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

2013
Change Detection in Streaming Multivariate Data Using Likelihood Detectors.
IEEE Trans. Knowl. Data Eng., 2013

A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles.
IEEE Trans. Knowl. Data Eng., 2013

Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis.
Progress in AI, 2013

2012
Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data.
Pattern Recognition, 2012

Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air.
IJKDB, 2012

Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in Sheep
CoRR, 2012

PCA feature extraction for change detection in multidimensional unlabelled streaming data.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Evaluation of Feature Ranking Ensembles for High-Dimensional Biomedical Data: A Case Study.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Multi-modal Biometric Emotion Recognition Using Classifier Ensembles.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

2010
Random Subspace Ensembles for fMRI Classification.
IEEE Trans. Med. Imaging, 2010

Learn++.MF: A random subspace approach for the missing feature problem.
Pattern Recognition, 2010

Full-class set classification using the Hungarian algorithm.
Int. J. Machine Learning & Cybernetics, 2010

Choosing Parameters for Random Subspace Ensembles for fMRI Classification.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

"Good" and "Bad" Diversity in Majority Vote Ensembles.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

On-Line fMRI Data Classification Using Linear and Ensemble Classifiers.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Identification of Traffic Flows Hiding behind TCP Port 80.
Proceedings of IEEE International Conference on Communications, 2010

2009
On the window size for classification in changing environments.
Intell. Data Anal., 2009

Network Protocol Verification by a Classifier Selection Ensemble.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Determining the Training Window for Small Sample Size Classification with Concept Drift.
Proceedings of the ICDM Workshops 2009, 2009

2008
Fuzzy classifiers.
Scholarpedia, 2008

A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers.
Pattern Recognition, 2008

Error-Dependency Relationships for the Naïve Bayes Classifier with Binary Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Object segmentation within microscope images of palynofacies.
Computers & Geosciences, 2008

Background Segmentation in Microscopy Images.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Combining Online Classification Approaches for Changing Environments.
Proceedings of the Structural, 2008

Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift.
Proceedings of the Structural, 2008

Adaptive Learning Rate for Online Linear Discriminant Classifiers.
Proceedings of the Structural, 2008

Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Classifier Ensembles with a Random Linear Oracle.
IEEE Trans. Knowl. Data Eng., 2007

Diagnosing scrapie in sheep: A classification experiment.
Comp. in Bio. and Med., 2007

Naïve Bayes Ensembles with a Random Oracle.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

An Experimental Study on Rotation Forest Ensembles.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Selecting Diversifying Heuristics for Cluster Ensembles.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Data reduction using classifier ensembles.
Proceedings of the ESANN 2007, 2007

A framework for generating data to simulate changing environments.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

A stability index for feature selection.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006
ROC curves and video analysis optimization in intestinal capsule endoscopy.
Pattern Recognition Letters, 2006

On the optimality of Naïve Bayes with dependent binary features.
Pattern Recognition Letters, 2006

Rotation Forest: A New Classifier Ensemble Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Moderate diversity for better cluster ensembles.
Information Fusion, 2006

An Evaluation Measure of Image Segmentation Based on Object Centres.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

Experimental Comparison of Cluster Ensemble Methods.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Using diversity measures for generating error-correcting output codes in classifier ensembles.
Pattern Recognition Letters, 2005

An ensemble-based method for linear feature extraction for two-class problems.
Pattern Anal. Appl., 2005

Diversity in multiple classifier systems.
Information Fusion, 2005

2004
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in.
Proceedings of the UAI '04, 2004

A Logodds Criterion for Selection of Diagnostic Tests.
Proceedings of the Structural, 2004

Using diversity in cluster ensembles.
Proceedings of the IEEE International Conference on Systems, 2004

Classifier Ensembles for Changing Environments.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

2003
"Fuzzy" versus "nonfuzzy" in combining classifiers designed by Boosting.
IEEE Trans. Fuzzy Systems, 2003

Limits on the majority vote accuracy in classifier fusion.
Pattern Anal. Appl., 2003

Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy.
Machine Learning, 2003

Error Bounds for Aggressive and Conservative AdaBoost.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

That Elusive Diversity in Classifier Ensembles.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Switching between selection and fusion in combining classifiers: an experiment.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Generating classifier outputs of fixed accuracy and diversity.
Pattern Recognition Letters, 2002

A Theoretical Study on Six Classifier Fusion Strategies.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Relationships between combination methods and measures of diversity in combining classifiers.
Information Fusion, 2002

An experimental study on diversity for bagging and boosting with linear classifiers.
Information Fusion, 2002

Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

2001
Decision templates for multiple classifier fusion: an experimental comparison.
Pattern Recognition, 2001

Fuzzy Logic with Engineering Applications, Timothy J. Ross, (Ed.); McGraw Hill, New York, 1995, pp 592, ISBN 0-07-053917-0.
Neurocomputing, 2001

Nearest prototype classifier designs: An experimental study.
Int. J. Intell. Syst., 2001

Using measures of similarity and inclusion for multiple classifier fusion by decision templates.
Fuzzy Sets and Systems, 2001

Feature Subsets for Classifier Combination: An Enumerative Experiment.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000
Fuzzy Classifier Design
Studies in Fuzziness and Soft Computing 49, Springer, ISBN: 978-3-7908-2472-8, 2000

How good are fuzzy If-Then classifiers?
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2000

Designing classifier fusion systems by genetic algorithms.
IEEE Trans. Evolutionary Computation, 2000

A fuzzy model of heavy metal loadings in Liverpool bay.
Environmental Modelling and Software, 2000

Some Notes on Twenty One (21) Nearest Prototype Classifiers.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Clustering-and-selection model for classifier combination.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Selecting fuzzy connectives to represent heavy metal distribution in Liverpool Bay.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Is Independence Good For Combining Classifiers?
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Presupervised and post-supervised prototype classifier design.
IEEE Trans. Neural Networks, 1999

Will the real iris data please stand up?
IEEE Trans. Fuzzy Systems, 1999

Nearest neighbor classifier: Simultaneous editing and feature selection.
Pattern Recognition Letters, 1999

Fuzzy diagnosis.
Artificial Intelligence in Medicine, 1999

1998
Nearest prototype classification: clustering, genetic algorithms, or random search?
IEEE Trans. Systems, Man, and Cybernetics, Part C, 1998

An Integrated Framework for Generalized Nearest Prototype Classifier Design.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998

1997
Fitness functions in editing k-NN reference set by genetic algorithms.
Pattern Recognition, 1997

Initializing of an RBF network by a genetic algorithm.
Neurocomputing, 1997

1996
On the Equivalence between fuzzy and Statistical Classifiers.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1996

A fuzzy consensus aggregation operator.
Fuzzy Sets and Systems, 1996

An RBF network with tunable function shape.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
Editing for the k-nearest neighbors rule by a genetic algorithm.
Pattern Recognition Letters, 1995

Experimental Investigation on Editing for the k-NN Rule through a Genetic Algorithm.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

On Feature Selection via Rough Sets.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

1993
'Change-glasses' approach in pattern recognition.
Pattern Recognition Letters, 1993

Genetic Algorithm for Feature Selection for Parallel Classifiers.
Inf. Process. Lett., 1993

A combination Scheme of Artificial Intelligence and Fuzzy Pattern Recognition in Medical Diagnosis.
Proceedings of the Fuzzy Logic in Artificial Intelligence, 1993

1992
A critical comment on the paper "designing of classification procedures with the use of equality and difference operators".
Pattern Recognition, 1992

1991
A Decision Making System in Aviation Medicine.
Proceedings of the Medical Informatics Europe 1991, 1991

1990
Using key features in pattern classification.
Pattern Recognition Letters, 1990


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