{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T15:23:37Z","timestamp":1767972217607,"version":"3.49.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006939","name":"Emory University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006939","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1822378"],"award-info":[{"award-number":["1822378"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/lsp.2021.3060967","type":"journal-article","created":{"date-parts":[[2021,2,22]],"date-time":"2021-02-22T22:43:05Z","timestamp":1614033785000},"page":"568-572","source":"Crossref","is-referenced-by-count":24,"title":["Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4216-026X","authenticated-orcid":false,"given":"Samaneh","family":"Nasiri","sequence":"first","affiliation":[]},{"given":"Gari D.","family":"Clifford","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"Jing xiang, and forrest sheng bao. a. high-performance seizure detection algorithm based on discrete wavelet transform (DWT) and EEG","volume":"12","author":"chen","year":"2017","journal-title":"PLoS ONE"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2018.2826840"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"1669","DOI":"10.1111\/j.1528-1167.2012.03564.x","article-title":"The EPILEPSIAE database: An extensive electroencephalography database of epilepsy patients","volume":"53","author":"klatt","year":"2012","journal-title":"Epilepsia"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3241056","article-title":"Applying deep learning for epilepsy seizure detection and brain mapping visualization","volume":"15","author":"hossain","year":"2019","journal-title":"ACM Trans Multimedia Comput Commun Appl"},{"key":"ref10","article-title":"Epileptic seizure detection using deep learning techniques: A review","author":"shoeibi","year":"2020"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1109\/TNSRE.2012.2206054","article-title":"Automatic seizure detection using wavelet transform and SVM in long-term intracranial EEG","volume":"20","author":"liu","year":"2012","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2016.2611601"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.053"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065715500239"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2585661"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.06.076"},{"key":"ref17","article-title":"Optimal transport applied to transfer learning for P300 detection","author":"gayraud","year":"0","journal-title":"Proc GBCIC"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-018-0693-8"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.2973434"},{"key":"ref28","first-page":"215","volume":"102","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref4","first-page":"178","article-title":"Learning robust features using deep learning for automatic seizure detection","author":"thodoroff","year":"0","journal-title":"Proc Mach Learn Healthcare Conf"},{"key":"ref27","article-title":"Certifiable distributional robustness with principled adversarial training","author":"sinha","year":"2017"},{"key":"ref3","first-page":"457","article-title":"Attentive adversarial network for large-scale sleep staging","author":"nasiri","year":"0","journal-title":"Proc Mach Learn Healthcare Conf"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2018.03.007"},{"key":"ref29","article-title":"Application of machine learning to epileptic seizure onset detection and treatment","author":"shoeb","year":"2009"},{"key":"ref5","article-title":"Subject selection on a Riemannian manifold for unsupervised cross-subject seizure detection","author":"bolagh","year":"2017"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952132"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2014-183"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nrneurol.2009.38"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.01.017"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a022848"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE.2019.8661969"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857755"},{"key":"ref21","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105472"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104016"},{"key":"ref25","first-page":"1","article-title":"Comparison of different input modalities and network structures for deep learning-based seizure detection","volume":"10","author":"kyung-ok","year":"0","journal-title":"Sci Rep"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/97\/9325893\/9360436-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/9325893\/09360436.pdf?arnumber=9360436","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:39Z","timestamp":1652194239000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9360436\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/lsp.2021.3060967","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}