{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T08:10:37Z","timestamp":1778227837897,"version":"3.51.4"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001787","name":"National Research Foundation, Singapore, through Industry Alignment Fund pre-Positioning Programme (IAF-PP) in the Advanced Manufacturing and Engineering (AME) Domain","doi-asserted-by":"publisher","award":["A19C1A0018"],"award-info":[{"award-number":["A19C1A0018"]}],"id":[{"id":"10.13039\/501100001787","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tnnls.2022.3183356","type":"journal-article","created":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T19:30:13Z","timestamp":1656012613000},"page":"6839-6850","source":"Crossref","is-referenced-by-count":5,"title":["Autonomous Cross Domain Adaptation Under Extreme Label Scarcity"],"prefix":"10.1109","volume":"34","author":[{"given":"Weiwei","family":"Weng","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6531-5087","authenticated-orcid":false,"given":"Mahardhika","family":"Pratama","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8012-7340","authenticated-orcid":false,"given":"Choiru","family":"Za\u2019in","sequence":"additional","affiliation":[{"name":"School of Information Technology (IT), Monash University, Clayton, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcus","family":"de Carvalho","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rakaraddi","family":"Appan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7126-4412","authenticated-orcid":false,"given":"Andri","family":"Ashfahani","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2315-3152","authenticated-orcid":false,"given":"Edward Yapp Kien","family":"Yee","sequence":"additional","affiliation":[{"name":"Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research (A&#x002A;Star), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983842"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2014.06.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132886"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013478"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357948"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.09.031"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.3018191"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851931"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/350"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2973293"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3017213"},{"key":"ref15","article-title":"Butterfly: One-step approach towards wildly unsupervised domain adaptation","author":"Liu","year":"2019","journal-title":"arXiv:1905.07720"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref17","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","volume":"48","author":"Xie"},{"key":"ref18","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/410"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00128"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357946"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1201\/EBK1439826119-7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2939993"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1018"},{"key":"ref26","article-title":"Efficient estimation of word representations in vector space","author":"Mikolov","year":"2013","journal-title":"arXiv:1301.3781"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"},{"key":"ref28","article-title":"ACDC: Online unsupervised cross-domain adaptation","author":"de Carvalho","year":"2021","journal-title":"arXiv:2110.01326"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3163362"},{"key":"ref30","first-page":"3861","article-title":"Towards K-means-friendly spaces: Simultaneous deep learning and clustering","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Yang"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.88"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00304"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3119965"},{"key":"ref34","article-title":"Understanding self-training for gradual domain adaptation","author":"Kumar","year":"2020","journal-title":"arXiv:2002.11361"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17322"},{"key":"ref36","article-title":"TOHAN: A one-step approach towards few-shot hypothesis adaptation","volume-title":"arXiv:2106.06326","author":"Chi","year":"2021"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10273172\/09804327.pdf?arnumber=9804327","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T03:43:02Z","timestamp":1706758982000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9804327\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":36,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3183356","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10]]}}}