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Adhi Tama, Bayu
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Comments on “Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection”

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Title
Comments on “Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection”
Author(s)
Bayu Adhi Tama; Seungchul Lee
Publication Date
2021-12
Journal
Expert Systems with Applications, v.184
Publisher
Elsevier Ltd
Abstract
© 2021 Elsevier LtdThis 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.
URI
https://pr.ibs.re.kr/handle/8788114/10408
DOI
10.1016/j.eswa.2021.115488
ISSN
0957-4174
Appears in Collections:
Pioneer Research Center for Mathematical and Computational Sciences(수리 및 계산과학 연구단) > Data Science Group(데이터 사이언스 그룹) > 1. Journal Papers (저널논문)
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