{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T00:07:18Z","timestamp":1792022838011,"version":"4.4.0"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 107-2221-E-009-109-MY2"],"award-info":[{"award-number":["MOST 107-2221-E-009-109-MY2"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 107-2218-E-009-005"],"award-info":[{"award-number":["MOST 107-2218-E-009-005"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2955285","type":"journal-article","created":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T15:40:55Z","timestamp":1575387655000},"page":"170352-170361","source":"Crossref","is-referenced-by-count":103,"title":["Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2724-7199","authenticated-orcid":false,"given":"Chien-Liang","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1992-4214","authenticated-orcid":false,"given":"Bin","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4439-676X","authenticated-orcid":false,"given":"Wen-Hoar","family":"Hsaio","sequence":"additional","affiliation":[{"name":"Information Management Center, National Chung-Shan Institute of Science and Technology, Taoyuan City, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5449-7700","authenticated-orcid":false,"given":"Vincent S.","family":"Tseng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/srep16230"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2013.2282153"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2015.2458982"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.12.065"},{"key":"ref35","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2014.2360798"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.125"},{"key":"ref40","article-title":"Application of machine learning to epileptic seizure onset detection and treatment","author":"shoeb","year":"2009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-25465-X_40"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638952"},{"key":"ref15","first-page":"199","article-title":"Multi-view learning of word embeddings via CCA","author":"dhillon","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/srep25422"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0013-4694(98)00024-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/10.720198"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0013-4694(97)00003-9"},{"key":"ref28","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","first-page":"1247","article-title":"Deep canonical correlation analysis","author":"andrew","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2014-183"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2014.05.022"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022859003006"},{"key":"ref5","article-title":"Bispectrum features and multilayer perceptron classifier to enhance seizure prediction","volume":"8","author":"assi","year":"2018","journal-title":"Sci Rep"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.yebeh.2011.09.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/aww045"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-015-0251-9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.02.022"},{"key":"ref1","first-page":"3366","article-title":"Exploring convolutional neural network structures and optimization techniques for speech recognition","volume":"11","author":"abdel-hamid","year":"2013","journal-title":"InterSpeech"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.06.017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19066-2_48"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/28.3-4.321"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3107411.3107419"},{"key":"ref21","article-title":"Feeding hand-crafted features for enhancing the performance of convolutional neural networks","author":"hosseini","year":"2018","journal-title":"arXiv 1801 07848"},{"key":"ref42","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JVA.2006.17"},{"key":"ref41","first-page":"975","article-title":"Application of machine learning to epileptic seizure detection","author":"shoeb","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref23","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref44","year":"2014","journal-title":"American Epilepsy Society Seizure Prediction Challenge"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1111\/ane.12014"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.06.065"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08910555.pdf?arnumber=8910555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T18:22:01Z","timestamp":1755282121000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8910555\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2955285","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}