{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T15:26:17Z","timestamp":1748273177288,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892920","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-7","source":"Crossref","is-referenced-by-count":5,"title":["TESANet: Self-attention network for olfactory EEG classification"],"prefix":"10.1109","author":[{"given":"Chengxuan","family":"Tong","sequence":"first","affiliation":[{"name":"Nanyang Technological University,School of Computer Science and Engineering,Singapore"}]},{"given":"Yi","family":"Ding","sequence":"additional","affiliation":[{"name":"Nanyang Technological University,School of Computer Science and Engineering,Singapore"}]},{"given":"Kevin Lim","family":"Jun Liang","sequence":"additional","affiliation":[{"name":"Wilmar International,Singapore"}]},{"given":"Zhuo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research,Agency for Science, Technology and Research,Singapore"}]},{"given":"Haihong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research,Agency for Science, Technology and Research,Singapore"}]},{"given":"Cuntai","family":"Guan","sequence":"additional","affiliation":[{"name":"Nanyang Technological University,School of Computer Science and Engineering,Singapore"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.10.027"},{"key":"ref38","first-page":"1","article-title":"BCI Competition 2008-Graz data set A","volume":"16","author":"brunner","year":"2008","journal-title":"Institute for Knowledge Discovery (Laboratory of Brain-Computer Interfaces) Graz University of Technology"},{"key":"ref33","article-title":"Attention is All you Need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206750"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref30","article-title":"A Critical Review of Recurrent Neural Networks for Sequence Learning","volume":"abs 1506 19","author":"lipton","year":"2015","journal-title":"CoRR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fneng.2014.00030"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.apmr.2014.08.008"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giz002"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00055"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/chemse\/bjab044"},{"key":"ref40","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1155\/2017\/5869315","article-title":"The Effectiveness of Aromatherapy for Depressive Symptoms: A Systematic Review","volume":"2017","author":"s\u00e1nchez-vida\u00f1a","year":"2017","journal-title":"Evidence-based Complementary and Alternative Medicine ECAM"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/0301006616685576"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.physbeh.2005.06.031"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.tifs.2019.09.018"},{"journal-title":"Brain-Computer Interfaces for Post-Stroke Motor Rehabilitation A Meta-Analysis","year":"2017","author":"cervera","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aba162"},{"key":"ref17","first-page":"2390","article-title":"Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface","author":"ang","year":"2008","journal-title":"2008 IEEE in-ternational joint conference on neural networks (IEEE world congress on computational intelligence)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2906824"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00966"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1835-13.2013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7591732"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2013.00066"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0149-7634(03)00050-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/chemse\/bjn011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodqual.2020.103959"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0146652"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.anorl.2010.09.007"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/681304"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.94.8.4119"},{"key":"ref20","article-title":"FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface","volume":"abs 2104 1233","author":"mane","year":"2021","journal-title":"CoRR"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857673"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICOT.2017.8336114"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2217495"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2637287"},{"key":"ref41","first-page":"3145","article-title":"Learning Important Features through Propagating Activation Differences","author":"shrikumar","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning - Volume 70"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2015.2496310"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28419-4_23"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2012.6263860"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892920.pdf?arnumber=9892920","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:58:26Z","timestamp":1667516306000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892920\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892920","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}