{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:03:05Z","timestamp":1740099785589,"version":"3.37.3"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"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","award":["71671086,61876097"],"award-info":[{"award-number":["71671086,61876097"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2016YFD0702100,2018YFB1402600"],"award-info":[{"award-number":["2016YFD0702100,2018YFB1402600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,30]]},"DOI":"10.1109\/icnsc48988.2020.9238069","type":"proceedings-article","created":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T21:14:02Z","timestamp":1604524442000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Semi-Supervised Incremental Three-Way Decision Using Convolutional Neural Network"],"prefix":"10.1109","author":[{"given":"Yuwei","family":"Liang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaxiong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuohuai","family":"Guan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","article-title":"Going deeper with convolutions","author":"szegedy","year":"2014","journal-title":"CVPR"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.01.015"},{"key":"ref10","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","author":"lee","year":"2013","journal-title":"In ICML"},{"key":"ref11","article-title":"Temporal ensembling for semi-supervised learning","author":"laine","year":"2016","journal-title":"ICLRE"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8546169"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.17"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"3573","DOI":"10.1109\/TNNLS.2017.2732482","article-title":"Cost-sensitive learning of deep feature representations from imbalanced data","volume":"29","author":"khan","year":"2018","journal-title":"IEEE Transactions on Neural Networks"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.195"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2013.2243146"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.09.032"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICNSC.2019.8743205"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2019.2899365"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2017.03.008"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.04.031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.242"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.60"},{"key":"ref7","first-page":"1","article-title":"Semi-supervised learning with ladder networks","volume":"9","author":"rasmus","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","author":"k","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref9","first-page":"1626","article-title":"Discriminative semi-supervised dictionary learning with entropy regularization for pattern classification","author":"yang","year":"2017","journal-title":"In AAAI"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"141","author":"krizhevsky","year":"2012","journal-title":"In NIPS"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1137\/16M1063290"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/COGINF.2011.6016129"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-019-0804-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2018.11.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.01.067"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105243"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.03.009"}],"event":{"name":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","start":{"date-parts":[[2020,10,30]]},"location":"Nanjing, China","end":{"date-parts":[[2020,11,2]]}},"container-title":["2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9238048\/9238049\/09238069.pdf?arnumber=9238069","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:14:33Z","timestamp":1656375273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9238069\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,30]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/icnsc48988.2020.9238069","relation":{},"subject":[],"published":{"date-parts":[[2020,10,30]]}}}