A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-15471-3_1
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1. Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses;Sensors;2023-02-19
2. Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses;Lecture Notes in Computer Science;2023
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