首页|Boston University Reports Findings in Machine Learning (NiReject: toward automat ed bad channel detection in functional near-infrared spectroscopy)
Boston University Reports Findings in Machine Learning (NiReject: toward automat ed bad channel detection in functional near-infrared spectroscopy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Boston, United States, b y NewsRx journalists, research stated, “The increasing samplesizes and channel densities in functional near-infrared spectroscopy (fNIRS) necessitate precise a nd scalableidentification of signals that do not permit reliable analysis to ex clude them. Despite the relevance ofdetecting these ‘bad channels,’ little is k nown about the behavior of fNIRS detection methods, and thepotential of unsuper vised and semi-supervised machine learning remains unexplored.”
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