Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification

Rebeca Méndez, Beatriz Remeseiro, Diego Peteiro-Barral, Manuel G. Penedo

2013

Abstract

Dry eye is an increasingly popular syndrome in modern society which can be diagnosed through an automatic technique for tear film lipid layer classification. Previous studies related to this multi-class problem lack of analysis focus on class binarization techniques, feature selection and artificial neural networks. Also, all of them just use the accuracy of the machine learning algorithms as performance measure. This paper presents a methodology to evaluate different performance measures over these unexplored areas using the multiple criteria decision making method called TOPSIS. The results obtained demonstrate the effectiveness of the methodology proposed in this research.

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Paper Citation


in Harvard Style

Méndez R., Remeseiro B., Peteiro-Barral D. and G. Penedo M. (2013). Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, pages 62-70. DOI: 10.5220/0004224300620070


in Bibtex Style

@conference{icaart13,
author={Rebeca Méndez and Beatriz Remeseiro and Diego Peteiro-Barral and Manuel G. Penedo},
title={Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2013},
pages={62-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004224300620070},
isbn={978-989-8565-39-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification
SN - 978-989-8565-39-6
AU - Méndez R.
AU - Remeseiro B.
AU - Peteiro-Barral D.
AU - G. Penedo M.
PY - 2013
SP - 62
EP - 70
DO - 10.5220/0004224300620070