Comments on "Stacking ensemble based deep neural networks modeling for effective epileptic seizure

被引:3
作者
Tama, Bayu Adhi [1 ]
Lee, Seungchul [2 ,3 ]
机构
[1] Inst Basic Sci IBS, Ctr Math & Computat Sci, Data Sci Grp, 55 Expo Ro, Daejeon 34126, South Korea
[2] Pohang Univ Sci & Technol POSTECH, Dept Mech Engn, Ind Artificial Intelligence Lab, 77 Cheongam Ro, Gyeongbuk 37673, South Korea
[3] Pohang Univ Sci & Technol POSTECH, Grad Sch Artificial Intelligence, 77 Cheongam Ro, Gyeongbuk 37673, South Korea
基金
新加坡国家研究基金会;
关键词
Stacking ensemble; Deep neural network; Epileptic seizure; Ensemble learning; CLASSIFIER ENSEMBLES;
D O I
10.1016/j.eswa.2021.115488
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This short communication provides a discourse emerged after reading "Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection, Expert Systems with Applications, 148, 113239, 2020."The discussed paper proposes a novel application of stacking-based ensemble for seizure detection, where several deep neural networks were used as base classifiers. The ensemble design and experimental results presented by the author show some weaknesses, which is indicated by, one of which, an inability of the proposed model to outperform previous studies. In this note, controversy of the discussed paper is explained and an improved version of stacking-based deep neural network is also further introduced and detailed to prevent it in the future.
引用
收藏
页数:3
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