{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T23:19:50Z","timestamp":1773098390350,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61806078"],"award-info":[{"award-number":["61806078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076094"],"award-info":[{"award-number":["62076094"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976091"],"award-info":[{"award-number":["61976091"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61902126"],"award-info":[{"award-number":["61902126"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Major Scientific and Technological Special Project for \u201cSignificant New Drugs Development\u201d","award":["2019ZX09201004"],"award-info":[{"award-number":["2019ZX09201004"]}]},{"name":"Shanghai Science and Technology Program \u201cDistributed and Generative Few-Shot Algorithm and Theory Research\u201d","award":["20511100600"],"award-info":[{"award-number":["20511100600"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Dev. Syst."],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/tcds.2021.3051465","type":"journal-article","created":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T09:00:59Z","timestamp":1612861259000},"page":"885-897","source":"Crossref","is-referenced-by-count":38,"title":["EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks"],"prefix":"10.1109","volume":"13","author":[{"given":"Dongdong","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Chai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3759-2041","authenticated-orcid":false,"given":"Zhe","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1161-4337","authenticated-orcid":false,"given":"Hai","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2676-6341","authenticated-orcid":false,"given":"Wenli","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2016.7822545"},{"key":"ref38","first-page":"1286","article-title":"Robust EEG emotion classification using segment level decision fusion","author":"rozgi?","year":"2013","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process ICASSP"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2797176"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489331"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2840973"},{"key":"ref30","first-page":"811","article-title":"Multimodal emotion recognition using deep neural networks","author":"tang","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2019.11.003"},{"key":"ref36","author":"liu","year":"2019","journal-title":"Multimodal emotion recognition using deep canonical correlation analysis"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2916015"},{"key":"ref34","first-page":"433","article-title":"Continuous convolutional neural network with 3D input for EEG-based emotion recognition","author":"yang","year":"2018","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2016.2587290"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107626"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/3076324"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2922912"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2018.2868121"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2788081"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.10.096"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2817622"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2017.2685338"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-017-9533-x"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2897651"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2688239"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2011.05.001"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.15"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2007.893452"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0106-19.2019"},{"key":"ref29","author":"bazgir","year":"2019","journal-title":"Emotion recognition with machine learning using EEG signals"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5664\/JCSM.1346"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2013.05.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00279"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CW.2010.37"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512718"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-011-0479-9"},{"key":"ref20","first-page":"2319","article-title":"PNN for EEG-based emotion recognition","author":"zhang","year":"2016","journal-title":"Proc IEEE Int Conf Syst Man Cybern (SMC)"},{"key":"ref22","author":"yu","year":"2015","journal-title":"Multi-scale context aggregation by dilated convolutions"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/NER.2013.6695876"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2676239"},{"key":"ref24","first-page":"971","article-title":"Self-normalizing neural networks","author":"klambauer","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2877663"},{"key":"ref23","author":"agarap","year":"2018","journal-title":"Deep Learning using Rectified Linear Units (ReLU)"},{"key":"ref26","author":"yoshida","year":"2017","journal-title":"Spectral Norm Regularization for Improving the Generalizability of Deep Learning"},{"key":"ref25","author":"konda","year":"2015","journal-title":"Dropout as data augmentation"}],"container-title":["IEEE Transactions on Cognitive and Developmental Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274989\/9645278\/09321553.pdf?arnumber=9321553","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:25Z","timestamp":1652194465000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9321553\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":42,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcds.2021.3051465","relation":{},"ISSN":["2379-8920","2379-8939"],"issn-type":[{"value":"2379-8920","type":"print"},{"value":"2379-8939","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12]]}}}