"Machine Learning Approach for Classifying College Scholastic Ability Test ..."

Jung-Gu Choi et al. (2022)

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DOI: 10.1109/ACCESS.2022.3173629

access: open

type: Journal Article

metadata version: 2024-10-06

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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)

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