Enhancing classification accuracy of HRF signals in fNIRS using semi-supervised learning and filtering
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This paper introduces a novel approach to enhance the classification accuracy of hemodynamic response function (HRF) signals acquired through functional near-infrared spectroscopy (fNIRS). Leveraging a semi-supervised learning (SSL) framework alongside a filte... ...
