Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Switching class labels to generate classification ensembles
Pattern Recognition
An on-line signature verification system based on fusion of local and global information
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Ensemble of multiple Palmprint representation
Expert Systems with Applications: An International Journal
Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification
Expert Systems with Applications: An International Journal
Minutiae and modified Biocode fusion for fingerprint-based key generation
Journal of Network and Computer Applications
Reduced Reward-punishment editing for building ensembles of classifiers
Expert Systems with Applications: An International Journal
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Multi-matcher systems based on ensembles of classifiers are presented. We performed an empirical comparison of ensemble methods. The obtained results are very encouraging, our results improved the average predictive accuracy obtained using the individual learners. We show that the method ''random subspace'' outperforms the other ensemble methods tested in this paper. In this work, we study the fusion among the scores obtained by on-line signatures verification methods and the fusion among the scores of the systems submitted to Fingerprint Verification Competition 2004 (FVC2004).