Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques
Author:
Publisher
IMR Press
Subject
General Medicine,General Neuroscience
Link
https://jin.imrpress.com/fileup/1757-448X/PDF/1585708657775-85977415.pdf
Cited by 33 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. Exploring Supervised Machine Learning Classifiers for Epileptic Seizure Detection over Two Distinct Preprocessed Datasets;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05
2. Evaluating CNN Methods for Epileptic Seizure Type Classification Using EEG Data;IEEE Access;2024
3. Perinatal Management of Women with Epilepsy;Women with Epilepsy in Child-bearing Age;2024
4. Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHD;2023 IEEE International Conference on Big Data (BigData);2023-12-15
5. EEG Epileptic Seizure Classification Using Hybrid Time-Frequency Attention Deep Network;Communications in Computer and Information Science;2023-11-26
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