{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T14:13:37Z","timestamp":1730211217602,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,24]],"date-time":"2023-05-24T00:00:00Z","timestamp":1684886400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,24]],"date-time":"2023-05-24T00:00:00Z","timestamp":1684886400000},"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":[[2023,5,24]]},"DOI":"10.1109\/cscwd57460.2023.10152574","type":"proceedings-article","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T23:57:23Z","timestamp":1687564643000},"page":"1914-1919","source":"Crossref","is-referenced-by-count":0,"title":["SeAuNet: Semi-Autonomous Encrypted Traffic Classification and Self-labeling"],"prefix":"10.1109","author":[{"given":"Chaofei","family":"Li","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100085"}]},{"given":"Ziyuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100085"}]},{"given":"Ruicheng","family":"Niu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100085"}]},{"given":"Tao","family":"Leng","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100085"}]},{"given":"Dan","family":"Meng","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100085"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.21236\/ada465464"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5220\/0006105602530262"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2020.101863"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISI.2017.8004872"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2019.2899085"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04030-2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155292"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380090"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1800819"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.154"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1126\/science.220.4598.671"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2998145"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2020.08.011"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref17","first-page":"12 310","article-title":"Barlow twins: Self-supervised learning via redundancy reduction","volume-title":"International Conference on Machine Learning","author":"Zbontar"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"issue":"2","key":"ref19","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Workshop on challenges in representation learning, ICML","volume":"3","author":"Lee"},{"article-title":"Proxylessnas: Direct neural architecture search on target task and hardware","year":"2018","author":"Cai","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-46147-8_29"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_32"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299135"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3442520.3442521"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.5220\/0005740704070414"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2991876"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.05.008"},{"issue":"1","key":"ref28","first-page":"3221","article-title":"Accelerating t-sne using tree-based algorithms","volume":"15","author":"Van Der Maaten","year":"2014","journal-title":"The Journal of Machine Learning Research"}],"event":{"name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","start":{"date-parts":[[2023,5,24]]},"location":"Rio de Janeiro, Brazil","end":{"date-parts":[[2023,5,26]]}},"container-title":["2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10152543\/10151991\/10152574.pdf?arnumber=10152574","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T04:30:41Z","timestamp":1706070641000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10152574\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,24]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/cscwd57460.2023.10152574","relation":{},"subject":[],"published":{"date-parts":[[2023,5,24]]}}}