Adaptive Hybrid Feature Selection-Based Classifier Ensemble for Epileptic Seizure Classification

Adaptive Hybrid Feature Selection-Based Classifier Ensemble for Epileptic Seizure Classification

Feature selection and ensemble learning can be used to improve the accuracy and robustness of epileptic seizure detection and classification. Unfortunately, a few studies have fully utilized feature selection and ensemble learning. In this paper, we present an adaptive hybrid feature selection-based...

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Bibliographic Details
Main Authors: Farrikh Alzami, Juan Tang, Zhiwen Yu, Si Wu, C. L. Philip Chen, Jane You, Jun Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Epileptic seizure detection and classification
discrete wavelet transform
hybrid feature selection
classifier ensemble
bagging
rank aggregation
Online Access:https://ieeexplore.ieee.org/document/8364532/

Internet

https://ieeexplore.ieee.org/document/8364532/

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