Machine Learning Approach for Classifying College Scholastic Ability Test Levels With Unsupervised Features From Prefrontal Functional Near-Infrared Spectroscopy Signals - researchr publication

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Jung-Gu Choi, Inhwan Ko, Yoonjin Nah, Bora Kim, Yongwan Park, Jihyun Cha, JongKwan Choi, SangHoon Han. Machine Learning Approach for Classifying College Scholastic Ability Test Levels With Unsupervised Features From Prefrontal Functional Near-Infrared Spectroscopy Signals. IEEE Access, 10:50864-50877, 2022. [doi]

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