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Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation., , , , , , , and . EMBC, page 2010-2013. IEEE, (2017)Improved neonatal seizure detection using adaptive learning., , , , , and . EMBC, page 2810-2813. IEEE, (2017)Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants., , , , , , , , and . IEEE Trans. Biomed. Engineering, 63 (5): 973-983 (2016)Differences in the cerebral hemodynamics regulation mechanisms of premature infants with intra-ventricular hemorrhage assessed by means of phase rectified signal averaging., , , , , , and . EMBC, page 4208-4211. IEEE, (2014)An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation., , , , , , and . Int. J. Neural Syst., 27 (6): 1750023:1-1750023:18 (2017)Automated Respiration Detection from Neonatal Video Data., , , , , , , , , and . ICPRAM (2), page 164-169. SciTePress, (2015)Automatic Burst Detection based on Line Length in the Premature EEG., , , , , , and . BIOSIGNALS, page 105-111. SciTePress, (2013)Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification., , , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy., , , , , , , , , and . EMBC, page 17-20. IEEE, (2012)Prediction of mental development of preterm newborns at birth time using LS-SVM., , , , , , , , and . ESANN, page 167-172. (2002)