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

2014

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.

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