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k-nearest neighbors directed noise injection in multilayer perceptron training

IEEE transactions on neural networks, 2000-03, Vol.11 (2), p.504-511

2000

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Bagging, Boosting and the Random Subspace Method for Linear Classifiers

Pattern analysis and applications : PAA, 2002-06, Vol.5 (2), p.121-135

2002

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Autofluorescence and Raman microspectroscopy of tissue sections of oral lesions

Lasers in medical science, 2005-04, Vol.19 (4), p.203-209

2005

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Autofluorescence and diffuse reflectance spectroscopy for oral oncology

Lasers in surgery and medicine, 2005-06, Vol.36 (5), p.356-364

2005

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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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Bagging for linear classifiers

Pattern recognition, 1998-07, Vol.31 (7), p.909-930

1998

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Optical Spectroscopy for the Classification of Malignant Lesions of the Bronchial Tree

Chest, 2006-04, Vol.129 (4), p.995-1001

2006

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Combining Feature Subsets in Feature Selection

Lecture notes in computer science, 2005, p.165-175

2005

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Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy

Journal of Biomedical Optics, 2004-09, Vol.9 (5), p.940-950

2004

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Autofluorescence characteristics of healthy oral mucosa at different anatomical sites

Lasers in surgery and medicine, 2003-01, Vol.32 (5), p.367-376

2003

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Combining dissimilarity-based one-class classifiers

Lecture notes in computer science, 2004, p.122-133

2004

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

Lecture notes in computer science, 2002, p.62-71

2002

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A discussion on the Classifier Projection Space for Classifier combining

Lecture notes in computer science, 2002, p.137-148

2002

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Selection/extraction of spectral regions for autofluorescence spectra measured in the oral cavity

Lecture notes in computer science, 2004, p.1096-1104

2004

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Combining Fisher linear discriminants for dissimilarity representations

Lecture notes in computer science, 2000, p.117-126

2000

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Stabilizing classifiers for very small sample sizes

Proceedings of 13th International Conference on Pattern Recognition, 1996, Vol.2, p.891-896 vol.2

1996

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Regularisation of Linear Classifiers by Adding Redundant Features

Pattern analysis and applications : PAA, 1999-01, Vol.2 (1), p.44-52

1999

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Boosting in Linear Discriminant Analysis

Lecture notes in computer science, 2000, Vol.1857, p.190-199

2000

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The Role of Combining Rules in Bagging and Boosting

Advances in Pattern Recognition, 2000, p.631-640

2000

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PD.121 Autofluorescence spectroscopy for classification of oral lesions

Oral oncology. Supplement, 2005, Vol.1 (1), p.102-102

2005

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Regularization by adding redundant features

Advances in Pattern Recognition, 2005, p.564-572

2005

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The role of subclasses in machine diagnostics

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000, Vol.2, p.668-671 vol.2

2000

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Improving the specificity of fluorescence bronchoscopy for the analysis of neoplastic lesions of the bronchial tree by combination with optical spectroscopy: preliminary communication

Lung cancer (Amsterdam, Netherlands), 2005, Vol.47 (1), p.41-47

2005

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k-nearest neighbors directed noise injection in multilayer perceptron training

Bagging, Boosting and the Random Subspace Method for Linear Classifiers

Autofluorescence and Raman microspectroscopy of tissue sections of oral lesions

Autofluorescence and diffuse reflectance spectroscopy for oral oncology

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

Bagging for linear classifiers

Optical Spectroscopy for the Classification of Malignant Lesions of the Bronchial Tree

Combining Feature Subsets in Feature Selection

Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy

Autofluorescence characteristics of healthy oral mucosa at different anatomical sites

Combining dissimilarity-based one-class classifiers

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

A discussion on the Classifier Projection Space for Classifier combining

Selection/extraction of spectral regions for autofluorescence spectra measured in the oral cavity

Combining Fisher linear discriminants for dissimilarity representations

Stabilizing classifiers for very small sample sizes

Regularisation of Linear Classifiers by Adding Redundant Features

Boosting in Linear Discriminant Analysis

The Role of Combining Rules in Bagging and Boosting

PD.121 Autofluorescence spectroscopy for classification of oral lesions

Regularization by adding redundant features

The role of subclasses in machine diagnostics

Improving the specificity of fluorescence bronchoscopy for the analysis of neoplastic lesions of the bronchial tree by combination with optical spectroscopy: preliminary communication

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