A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued Classifiers-Reference-Cited by-同舟云学术

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A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued Classifiers

Published:2016-01 Issue:1 Volume:20 Page:108-118
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Peker Musa,Sen Baha,Delen Dursun

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/7369993/7001559.pdf?arnumber=7001559

Cited by 155 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. MD-DCNN: Multi-Scale Dilation-Based Deep Convolution Neural Network for epilepsy detection using electroencephalogram signals;Knowledge-Based Systems;2024-10

2. A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals;IEEE Journal of Biomedical and Health Informatics;2024-06

3. Synchronization analysis of discrete-time coupled complex valued Markov jump neural network systems with two unknown transition probabilities’ Markov chains;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

4. Novel deep learning framework for detection of epileptic seizures using EEG signals;Frontiers in Computational Neuroscience;2024-03-21

5. An efficient feature selection and explainable classification method for EEG-based epileptic seizure detection;Journal of Information Security and Applications;2024-02

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