{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:14:24Z","timestamp":1771024464046,"version":"3.50.1"},"reference-count":23,"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":"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/lsp.2021.3095761","type":"journal-article","created":{"date-parts":[[2021,7,8]],"date-time":"2021-07-08T19:24:26Z","timestamp":1625772266000},"page":"1505-1509","source":"Crossref","is-referenced-by-count":24,"title":["MACRO: Multi-Attention Convolutional Recurrent Model for Subject-Independent ERP Detection"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6112-9279","authenticated-orcid":false,"given":"Zhen","family":"Lan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9995-4239","authenticated-orcid":false,"given":"Chao","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zixing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dengqing","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1525-6231","authenticated-orcid":false,"given":"Xiaojia","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2971600"},{"key":"ref11","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_49"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2906824"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.3025777"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref17","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref18","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.568000"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1117\/12.2007557"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2015.2446499"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2946869"},{"key":"ref5","first-page":"124","article-title":"A brain-computer interface (BCI) for the detection of mine-like objects in side scan sonar imagery","volume":"40","author":"barngrover","year":"2016","journal-title":"IEEE J Ocean Eng"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269259"},{"key":"ref7","first-page":"513","article-title":"Subject independent EEG-based BCI decoding","volume":"22","author":"fazli","year":"2009","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2013.08.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2892967"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39454-6_36"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.12.002"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/9325893\/09478217.pdf?arnumber=9478217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:33Z","timestamp":1652194233000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9478217\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/lsp.2021.3095761","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}