Improvement in the automatic classification of Alzheimer’s disease using EEG after feature selection-Reference-Cited by-同舟云学术

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Improvement in the automatic classification of Alzheimer’s disease using EEG after feature selection

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
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Author:

Tavares Guilherme,San-Martin Rodrigo,Ianof Jessica N.,Anghinah Renato,Fraga Francisco J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8906183/8913838/08914006.pdf?arnumber=8914006

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine and Deep Learning Trends in EEG-Based Detection and Diagnosis of Alzheimer’s Disease: A Systematic Review;Eng;2024-07-16

2. An LSTM Framework for the Effective Screening of Dementia for Deployment on Edge Devices;Communications in Computer and Information Science;2024

3. A Review of EEG-Based Computer-Aided Detection of Brain Disorders Using a Different Strategy;Transformational Interventions for Business, Technology, and Healthcare;2023-10-16

4. A novel method for diagnosing Alzheimer's disease using deep pyramid CNN based on EEG signals;Heliyon;2023-04

5. A Systematic Study About EEG Signal Data and Computer Aided Models for the Diagnosis of Alzheimer's Disease;Computational Methods and Data Engineering;2022-09-09

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