DropoutTS is a sample-adaptive dropout method designed for time series forecasting. Unlike traditional dropout that applies a fixed rate across all samples, DropoutTS dynamically adjusts dropout rates ...
This repository contains the source code, experiment logs, and results for our paper. The proposed model is designed for subject-dependent emotion classification using spatial-temporal modeling of EEG ...
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