Combination of Classifiers using the Fuzzy Integral for Uncertainty Identification and Subject Specific Optimization - Application to Brain-Computer Interface

Francesco Cavrini, Lucia Rita Quitadamo, Luigi Bianchi, Giovanni Saggio

Abstract

In this paper we propose a framework for combination of classifiers using fuzzy measures and integrals that aims at providing researchers and practitioners with a simple and structured approach to deal with two issues that often arise in many pattern recognition applications: (i) the need for an automatic and user-specific selection of the best performing classifier or, better, ensemble of classifiers, out of the available ones; (ii) the need for uncertainty identification which should result in an abstention rather than an unreliable decision. We evaluate the framework within the context of Brain-Computer Interface, a field in which abstention and intersubject variability have a remarkable impact. Analysis of experimental data relative to five subjects shows that the proposed system is able to answer such needs.

References

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Paper Citation


in Harvard Style

Cavrini F., Quitadamo L., Bianchi L. and Saggio G. (2014). Combination of Classifiers using the Fuzzy Integral for Uncertainty Identification and Subject Specific Optimization - Application to Brain-Computer Interface . In Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014) ISBN 978-989-758-053-6, pages 14-24. DOI: 10.5220/0005035900140024


in Bibtex Style

@conference{fcta14,
author={Francesco Cavrini and Lucia Rita Quitadamo and Luigi Bianchi and Giovanni Saggio},
title={Combination of Classifiers using the Fuzzy Integral for Uncertainty Identification and Subject Specific Optimization - Application to Brain-Computer Interface},
booktitle={Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)},
year={2014},
pages={14-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005035900140024},
isbn={978-989-758-053-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)
TI - Combination of Classifiers using the Fuzzy Integral for Uncertainty Identification and Subject Specific Optimization - Application to Brain-Computer Interface
SN - 978-989-758-053-6
AU - Cavrini F.
AU - Quitadamo L.
AU - Bianchi L.
AU - Saggio G.
PY - 2014
SP - 14
EP - 24
DO - 10.5220/0005035900140024