{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T07:26:15Z","timestamp":1779261975185,"version":"3.51.4"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"University of Sydney SOAR Prize"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/jbhi.2020.2984128","type":"journal-article","created":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T20:40:41Z","timestamp":1585860041000},"page":"2844-2851","source":"Crossref","is-referenced-by-count":74,"title":["Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1664-5212","authenticated-orcid":false,"given":"Tennison","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4350-8026","authenticated-orcid":false,"given":"Nhan Duy","family":"Truong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Armin","family":"Nikpour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luping","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2753-5553","authenticated-orcid":false,"given":"Omid","family":"Kavehei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MeMeA.2018.8438785"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.bios.2017.03.016"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319535"},{"key":"ref10","first-page":"975","article-title":"Application of machine learning to epileptic seizure detection","author":"shoeb","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref11","article-title":"Deep residual learning for automatic seizure detection","author":"golmohammadi","year":"2018","journal-title":"Proc 26th Conf Intell Sys Mol Biol"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.04.018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.protcy.2013.12.152"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2014.03.001"},{"key":"ref15","article-title":"Machine learning for seizure type classification: Setting the benchmark","author":"roy","year":"2019"},{"key":"ref16","article-title":"SeizureNet: Multi-spectral deep feature learning for seizure type classification","author":"asif","year":"2019"},{"key":"ref17","article-title":"Neural memory networks for seizure type classification","author":"ahmedt-aristizabal","year":"2019"},{"key":"ref18","first-page":"2547","article-title":"A convolutional neural network based framework for classification of seizure types","author":"temel","year":"0","journal-title":"IEEE Eng Med Biol Soc Int Conf"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31865-1_25"},{"key":"ref4","first-page":"392","article-title":"Overview of drugs used for epilepsy and seizures: Etiology, diagnosis, and treatment","volume":"35","author":"goldenberg","year":"2010","journal-title":"Pharmacology & Therapeutics"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8513031"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1097\/WNP.0b013e3181b2f2da"},{"key":"ref6","article-title":"Clinical aspects of the diagnosis of epileptic seizures and epileptic syndromes","author":"panayiotopoulos","year":"2005","journal-title":"The Epilepsies Seizures Syndromes and Management"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/adhm.201601159"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/ana.22345"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(18)30143-1"},{"key":"ref7","article-title":"Optimal use of the eeg in the diagnosis and management of epilepsies","author":"panayiotopoulos","year":"2005","journal-title":"The Epilepsies Seizures Syndromes and Management"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/epi.13670"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.aci.2015.01.001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0013-9580.2005.66104.x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.01.008"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2010.08.011"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2018.00083"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2017939"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1201\/1\/012065"},{"key":"ref25","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9216186\/09055195.pdf?arnumber=9055195","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:19:57Z","timestamp":1651079997000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9055195\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":32,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.2984128","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10]]}}}