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A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures
In order to capture essential seizure patterns, this paper leverages an attention mechanism and a bidirectional long short-term memory (BiLSTM) to exploit both spatial and temporal discriminating features and overcome seizure variabilities.
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