{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:13:08Z","timestamp":1778346788139,"version":"3.51.4"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506633","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T21:08:41Z","timestamp":1629752921000},"page":"264-268","source":"Crossref","is-referenced-by-count":4,"title":["Eeg Based Visual Classification With Multi-Feature Joint Learning"],"prefix":"10.1109","author":[{"given":"Xin","family":"Ma","sequence":"first","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China"}]},{"given":"Yiping","family":"Duan","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China"}]},{"given":"Shuzhan","family":"Hu","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China"}]},{"given":"Xiaoming","family":"Tao","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China"}]},{"given":"Ning","family":"Ge","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Electronic Engineering,Beijing,China"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Deep feature learning for eeg recordings","author":"stober","year":"2015","journal-title":"arXiv preprint arXiv 1511 04484"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0135697"},{"key":"ref12","article-title":"Decoding brain representations by multimodal learning of neural activity and visual features","author":"palazzo","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.479"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2934425"},{"key":"ref16","article-title":"Subjective video quality assessment methods for multimedia applications","year":"1999","journal-title":"International Telecommunication Union"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.06.065"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.tins.2007.05.001"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1126\/science.1117593","article-title":"Fast readout of object identity from macaque inferior temporal cortex","volume":"310","author":"hung","year":"2005","journal-title":"Science"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727334"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/14\/1\/016003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-02681-7"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2008.2003381"},{"key":"ref8","article-title":"Identifying stable patterns over time for emotion recognition from eeg","author":"zheng","year":"2017","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref7","first-page":"1","article-title":"A deep learning approach for parkinson’s disease diagnosis from eeg signals","author":"oh","year":"2018","journal-title":"Neural Computing and Applications"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2714671"},{"key":"ref1","author":"niedermeyer","year":"2005","journal-title":"Electroencephalography Basic Principles Clinical Applications and Related Fields"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.09.017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.3160410705"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","location":"Anchorage, AK, USA","start":{"date-parts":[[2021,9,19]]},"end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506633.pdf?arnumber=9506633","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T23:58:50Z","timestamp":1670371130000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506633\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506633","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}