Time-frequency transform plus per-slice gradient boosting detects EEG bursts in preterm infants with AUC 0.98, matching multi-feature baselines.
Detecting bursts in the EEG of very and extremely premature infants using a multi-feature approach
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Machine learning without a feature set for detecting bursts in the EEG of preterm infants
Time-frequency transform plus per-slice gradient boosting detects EEG bursts in preterm infants with AUC 0.98, matching multi-feature baselines.