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Rotation Forest: A New Classifier Ensemble Method

IEEE transactions on pattern analysis and machine intelligence, 2006-10, Vol.28 (10), p.1619-1630

2006

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A theoretical study on six classifier fusion strategies

IEEE transactions on pattern analysis and machine intelligence, 2002-02, Vol.24 (2), p.281-286

Kuncheva, L.I.

2002

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

IEEE transactions on pattern analysis and machine intelligence, 2006-11, Vol.28 (11), p.1798-1808

2006

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Switching between selection and fusion in combining classifiers: an experiment

IEEE transactions on cybernetics, 2002-04, Vol.32 (2), p.146-156

Kuncheva, L.I.

2002

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Classifier Ensembles with a Random Linear Oracle

IEEE transactions on knowledge and data engineering, 2007-04, Vol.19 (4), p.500-508

2007

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

IEEE transactions on fuzzy systems, 2003-12, Vol.11 (6), p.729-741

Kuncheva, L.I.

2003

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Designing classifier fusion systems by genetic algorithms

IEEE transactions on evolutionary computation, 2000-11, Vol.4 (4), p.327-336

2000

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How good are fuzzy If-Then classifiers?

IEEE transactions on cybernetics, 2000-08, Vol.30 (4), p.501-509

Kuncheva, L.I.

2000

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Error-Dependency Relationships for the Naïve Bayes Classifier with Binary Features

IEEE transactions on pattern analysis and machine intelligence, 2008-04, Vol.30 (4), p.735-740

2008

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Random Subspace Ensembles for fMRI Classification

IEEE transactions on medical imaging, 2010-02, Vol.29 (2), p.531-542

2010

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Limits on the majority vote accuracy in classifier fusion

Pattern analysis and applications : PAA, 2003-04, Vol.6 (1), p.22-31

2003

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

Information fusion, 2002-12, Vol.3 (4), p.245-258

2002

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Using diversity in cluster ensembles

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004, Vol.2, p.1214-1219 vol.2

2004

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A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers

Pattern recognition, 2008-10, Vol.41 (10), p.3010-3020

2008

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

Neurocomputing (Amsterdam), 2001-10, Vol.41 (1), p.187-187

Kuncheva, L.I.

2001

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Object segmentation within microscope images of palynofacies

Computers & geosciences, 2008-06, Vol.34 (6), p.688-698

2008

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Will the real iris data please stand up?

IEEE transactions on fuzzy systems, 1999-06, Vol.7 (3), p.368-369

1999

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

IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews, 1998-02, Vol.28 (1), p.160-164

1998

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Clustering-and-selection model for classifier combination

KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), 2000, Vol.1, p.185-188 vol.1

Kuncheva, L.I.

2000

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Experimental Comparison of Cluster Ensemble Methods

2006 9th International Conference on Information Fusion, 2006, p.1-7

2006

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Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling

2008 Eighth IEEE International Conference on Data Mining, 2008, p.869-874

2008

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Is independence good for combining classifiers?

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000, Vol.2, p.168-171 vol.2

2000

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

Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5), 1994, Vol.2, p.467-469 vol.2

1994

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