{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T02:36:18Z","timestamp":1725762978552},"reference-count":17,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/bibm.2016.7822568","type":"proceedings-article","created":{"date-parts":[[2017,1,20]],"date-time":"2017-01-20T03:36:10Z","timestamp":1484883370000},"page":"497-500","source":"Crossref","is-referenced-by-count":0,"title":["Prediction of neonatal amplitude-integrated EEG based on LSTM method"],"prefix":"10.1109","author":[{"family":"Lizhe Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiting","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Guitao Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707742"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2400218"},{"journal-title":"Long Short-Term Memory in Recurrent Neural Networks","year":"2001","author":"gers","key":"ref12"},{"key":"ref13","first-page":"115","article-title":"Learning precise timing with LSTM recurrent networks","author":"gers","year":"2002","journal-title":"Journal of Machine Learning Research"},{"key":"ref14","article-title":"Gradient flow in recurrent nets: the difficulty of learning long-term dependencies","author":"hochreiter","year":"2001","journal-title":"A Field Guide to Dynamical Recurrent Neural Networks"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"ref17","article-title":"A theoretically grounded application of dropout in recurrent neural networks","author":"gal","year":"2015","journal-title":"arXiv preprint arXiv 1512 00327"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2012.2237035"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.siny.2006.07.011"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.04.004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2013.6732504"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/978-3-642-24797-2_3","article-title":"Neural Networks","author":"graves","year":"2012","journal-title":"Supervised Sequence Labelling with Recurrent Neural Networks"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2012.12.001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.130.3.260"},{"journal-title":"An empirical exploration of recurrent network architectures","year":"2015","author":"zaremba","key":"ref9"}],"event":{"name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2016,12,15]]},"location":"Shenzhen, China","end":{"date-parts":[[2016,12,18]]}},"container-title":["2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7811899\/7822470\/07822568.pdf?arnumber=7822568","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,17]],"date-time":"2019-09-17T19:52:51Z","timestamp":1568749971000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7822568\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/bibm.2016.7822568","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}