Ludmila I. Kuncheva

Proceedings of the Structural, 2008

Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift.

[BibT_eX]

[DOI]

Indre Zliobaite

Proceedings of the Structural, 2008

Adaptive Learning Rate for Online Linear Discriminant Classifiers.

[BibT_eX]

[DOI]

Catrin O. Plumpton

Proceedings of the Structural, 2008

Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling.

[BibT_eX]

[DOI]

J. Salvador Sánchez

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Classifier Ensembles with a Random Linear Oracle.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2007

Diagnosing scrapie in sheep: A classification experiment.

[BibT_eX]

[DOI]

Victor J. del Rio Vilas

Juan J. Rodríguez Diez

Comput. Biol. Medicine, 2007

Naïve Bayes Ensembles with a Random Oracle.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

An Experimental Study on Rotation Forest Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Selecting Diversifying Heuristics for Cluster Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Data reduction using classifier ensembles.

[BibT_eX]

[DOI]

J. Salvador Sánchez

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

A framework for generating data to simulate changing environments.

[BibT_eX]

Anand M. Narasimhamurthy

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

A stability index for feature selection.

[BibT_eX]

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006

ROC curves and video analysis optimization in intestinal capsule endoscopy.

[BibT_eX]

[DOI]

Fernando Vilariño

Petia Radeva

Pattern Recognit. Lett., 2006

On the optimality of Naïve Bayes with dependent binary features.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2006

Rotation Forest: A New Classifier Ensemble Method.

[BibT_eX]

[DOI]

Carlos J. Alonso

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization.

[BibT_eX]

[DOI]

Dmitry P. Vetrov

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Moderate diversity for better cluster ensembles.

[BibT_eX]

[DOI]

Ludmila P. Todorova

Inf. Fusion, 2006

An Evaluation Measure of Image Segmentation Based on Object Centres.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

Experimental Comparison of Cluster Ensemble Methods.

[BibT_eX]

[DOI]

Ludmila P. Todorova

Proceedings of the 9th International Conference on Information Fusion, 2006

2005

Using diversity measures for generating error-correcting output codes in classifier ensembles.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2005

An ensemble-based method for linear feature extraction for two-class problems.

[BibT_eX]

[DOI]

David Masip

Jordi Vitrià

Pattern Anal. Appl., 2005

Diversity in multiple classifier systems.

[BibT_eX]

[DOI]

Inf. Fusion, 2005

2004

Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in.

[BibT_eX]

[DOI]

Peter D. Cockcroft

Z. S. J. Hoare

Proceedings of the UAI '04, 2004

A Logodds Criterion for Selection of Diagnostic Tests.

[BibT_eX]

[DOI]

Peter D. Cockcroft

Proceedings of the Structural, 2004

Using diversity in cluster ensembles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2004

Classifier Ensembles for Changing Environments.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Combining Pattern Classifiers: Methods and Algorithms.

[BibT_eX]

[DOI]

Wiley, ISBN: 9780471660262, 2004

2003

"Fuzzy" versus "nonfuzzy" in combining classifiers designed by Boosting.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2003

Limits on the majority vote accuracy in classifier fusion.

[BibT_eX]

[DOI]

Catherine A. Shipp

Pattern Anal. Appl., 2003

Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy.

[BibT_eX]

[DOI]

Mach. Learn., 2003

Error Bounds for Aggressive and Conservative AdaBoost.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

That Elusive Diversity in Classifier Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002

Switching between selection and fusion in combining classifiers: an experiment.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2002

Generating classifier outputs of fixed accuracy and diversity.

[BibT_eX]

[DOI]

Roumen K. Kounchev

Pattern Recognit. Lett., 2002

A Theoretical Study on Six Classifier Fusion Strategies.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2002

Relationships between combination methods and measures of diversity in combining classifiers.

[BibT_eX]

[DOI]

Catherine A. Shipp

Inf. Fusion, 2002

An experimental study on diversity for bagging and boosting with linear classifiers.

[BibT_eX]

[DOI]

Marina Skurichina

Inf. Fusion, 2002

Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy.

[BibT_eX]

[DOI]

Marina Skurichina

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

2001

Decision templates for multiple classifier fusion: an experimental comparison.

[BibT_eX]

[DOI]

Pattern Recognit., 2001

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

[BibT_eX]

[DOI]

Neurocomputing, 2001

Nearest prototype classifier designs: An experimental study.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2001

Using measures of similarity and inclusion for multiple classifier fusion by decision templates.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2001

Feature Subsets for Classifier Combination: An Enumerative Experiment.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000

Fuzzy Classifier Design

[BibT_eX]

[DOI]

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

How good are fuzzy If-Then classifiers?

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2000

Designing classifier fusion systems by genetic algorithms.

[BibT_eX]

[DOI]

Lakhmi C. Jain

IEEE Trans. Evol. Comput., 2000

A fuzzy model of heavy metal loadings in Liverpool bay.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2000

Some Notes on Twenty One (21) Nearest Prototype Classifiers.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ameena S. Al-Zaidan

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Is Independence Good For Combining Classifiers?

[BibT_eX]

[DOI]

Catherine A. Shipp

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

Presupervised and post-supervised prototype classifier design.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1999

Will the real iris data please stand up?

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 1999

Nearest neighbor classifier: Simultaneous editing and feature selection.

[BibT_eX]

[DOI]

Lakhmi C. Jain

Pattern Recognit. Lett., 1999

Fuzzy diagnosis.

[BibT_eX]

[DOI]

Friedrich Steimann

Artif. Intell. Medicine, 1999

1998

Nearest prototype classification: clustering, genetic algorithms, or random search?

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part C, 1998

An Integrated Framework for Generalized Nearest Prototype Classifier Design.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998

1997

Fitness functions in editing k-NN reference set by genetic algorithms.

[BibT_eX]

[DOI]

Pattern Recognit., 1997

Initializing of an RBF network by a genetic algorithm.

[BibT_eX]

[DOI]

Neurocomputing, 1997

1996

On the Equivalence between fuzzy and Statistical Classifiers.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1996

A fuzzy consensus aggregation operator.

[BibT_eX]

[DOI]

Raghu Krishnapuram

Fuzzy Sets Syst., 1996

An RBF network with tunable function shape.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995

Editing for the k-nearest neighbors rule by a genetic algorithm.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 1995

Experimental Investigation on Editing for the k-NN Rule through a Genetic Algorithm.

[BibT_eX]

[DOI]

Yordan K. Yotzov

Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

On Feature Selection via Rough Sets.

[BibT_eX]

[DOI]

Roumen K. Kounchev

Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

1994

A two-level classification scheme trained by a fuzzy neural network.

[BibT_eX]

[DOI]

Sushmita Mitra

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993

'Change-glasses' approach in pattern recognition.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 1993

Genetic Algorithm for Feature Selection for Parallel Classifiers.

[BibT_eX]

[DOI]

Inf. Process. Lett., 1993

A combination Scheme of Artificial Intelligence and Fuzzy Pattern Recognition in Medical Diagnosis.

[BibT_eX]

[DOI]

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".

[BibT_eX]

[DOI]

Pattern Recognit., 1992

1991

A Decision Making System in Aviation Medicine.

[BibT_eX]

[DOI]

Rumen Z. Zlatev

Vania Raicheva

Proceedings of the Medical Informatics Europe 1991, 1991

1990

Using key features in pattern classification.

[BibT_eX]

[DOI]

Vesselin Kissiov