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Feature Selection for Automatic Burst Detection in Neonatal Electroencephalogram.

, , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 1 (4): 469-479 (2011)

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Feature Selection for Automatic Burst Detection in Neonatal Electroencephalogram., , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 1 (4): 469-479 (2011)A novel frame skipping method in transcoder, with motion information, buffer fullness and scene change consideration., and . EUSIPCO, page 1814-1818. IEEE, (2009)Automated Burst Detection in Neonatal EEG., , , , , and . BIOSIGNALS, page 15-21. SciTePress, (2011)Detection of artifacts from high energy bursts in neonatal EEG., , , , , , and . Comput. Biol. Medicine, 43 (11): 1804-1814 (2013)Couplet Supertree Based Species Tree Estimation., and . ISBRA, volume 9096 of Lecture Notes in Computer Science, page 48-59. Springer, (2015)COSPEDTree: COuplet Supertree by Equivalence Partitioning of Taxa Set and DAG Formation., and . IEEE ACM Trans. Comput. Biol. Bioinform., 12 (3): 590-603 (2015)COSPEDTree-II: Improved couplet based phylogenetic supertree., and . BIBM, page 98-101. IEEE Computer Society, (2016)Automated detection of newborn sleep apnea using video monitoring system., , , , , and . ICAPR, page 1-6. IEEE, (2015)Android application for therapeutic feed and fluid calculation in neonatal care - a way to fast, accurate and safe health-care delivery., , , , , and . BIBM, page 938-945. IEEE Computer Society, (2016)Accumulated Coalescence Rank and Excess Gene Count for Species Tree Inference., and . AlCoB, volume 9702 of Lecture Notes in Computer Science, page 93-105. Springer, (2016)