{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T04:53:38Z","timestamp":1769835218795,"version":"3.49.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191587","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Generalization Across Subjects and Sessions for EEG-based Emotion Recognition Using Multi-source Attention-based Dynamic Residual Transfer"],"prefix":"10.1109","author":[{"given":"Wanqing","family":"Jiang","sequence":"first","affiliation":[{"name":"University of Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaofeng","family":"Meng","sequence":"additional","affiliation":[{"name":"Institute of Automation,Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianzi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Brainnetome Center &#x0026; NLPR, Institute of Automation, Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nianming","family":"Zuo","sequence":"additional","affiliation":[{"name":"Brainnetome Center &#x0026; NLPR, Institute of Automation, Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2988257.2988258"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/2326263X.2014.912881"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1631111.1631118"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/9780470511923"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24955-6_87"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SPIN.2015.7095376"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1214\/13-AOS1140"},{"key":"ref11","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"International Conference on Machine Learning","author":"Long","year":"2015"},{"key":"ref12","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2904052"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01085"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9542"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.778488"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref19","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size","author":"Iandola","year":"2016","journal-title":"arXiv preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2015.2431497"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2797176"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2013.6611075"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2922912"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857499"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci11060696"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04221-9_36"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2019.2949306"},{"key":"ref30","article-title":"Condconv: Conditionally parameterized convolutions for efficient inference","volume":"32","author":"Yang","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2945942"},{"issue":"11","key":"ref32","first-page":"37","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van Der Maaten","year":"2008","journal-title":"Journal of machine learning research"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(87)80084-9"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","location":"Gold Coast, Australia","start":{"date-parts":[[2023,6,18]]},"end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191587.pdf?arnumber=10191587","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T15:28:18Z","timestamp":1709306898000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191587\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191587","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}