{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T14:12:44Z","timestamp":1730211164998,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T00:00:00Z","timestamp":1651622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T00:00:00Z","timestamp":1651622400000},"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":[[2022,5,4]]},"DOI":"10.1109\/cscwd54268.2022.9776083","type":"proceedings-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T19:39:11Z","timestamp":1653075551000},"page":"113-118","source":"Crossref","is-referenced-by-count":1,"title":["Transfer Learning-enabled Modelling Framework for Digital Twin"],"prefix":"10.1109","author":[{"given":"Chunsheng","family":"Yang","sequence":"first","affiliation":[{"name":"National Research Council Canada,Ottawa,Ontario,Canada"}]},{"given":"Yifeng","family":"Li","sequence":"additional","affiliation":[{"name":"Brock University,Niagara Region,Ontario,Canada"}]},{"given":"Yubin","family":"Yang","sequence":"additional","affiliation":[{"name":"Nanjing University,The State Key Laboratory for Novel Software Technology,Nanjing,China"}]},{"given":"Zheng","family":"Liu","sequence":"additional","affiliation":[{"name":"The University of British Columbia,Okanagan Campus,British Columbia"}]},{"given":"Min","family":"Liao","sequence":"additional","affiliation":[{"name":"National Research Council Canada,Ottawa,Ontario,Canada"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/23744731.2017.1401417"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-016-0714-2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2002.1011518"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2014.2299651"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2010.2085572"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/24.273579"},{"key":"ref16","first-page":"3670","article-title":"Domain adaptation for learning from label proportions using self-training","author":"ardehaly","year":"2016","journal-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.111"},{"key":"ref18","first-page":"1305","article-title":"Active transfer learning under model shift","volume":"32","author":"wang","year":"2014","journal-title":"Machine Learning Research"},{"key":"ref19","article-title":"Transfer joint matching for unsupervised domain adaptation","author":"long","year":"2013","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref4","first-page":"81","article-title":"On-demand regression to improve preciseness of time to failure prediction","author":"l\u00e9toumeau","year":"2007","journal-title":"The Proceedings of the 2007 AAAI Fall Symposium on AI for Prognostics"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1081870.1081929"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1115\/1.4002812"},{"key":"ref5","first-page":"359","article-title":"Correlation-based feature selection for discrete and numeric class machine learning","author":"hall","year":"2000","journal-title":"Proceedings of the 17th International Conference on Machine Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-1083-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2019.01.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfracmech.2019.106793"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1063\/1.5031520"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2017.10.013"},{"key":"ref20","article-title":"Tutorial: Transfer learning with applications","author":"pan","year":"2013","journal-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-13)"},{"key":"ref22","article-title":"Augmented self-labeling for source-free unsupervised domain adaptation","author":"yao","year":"2021","journal-title":"Proceedings of The 32nd British Machine Vision (Conference (BMVC 2021)"},{"key":"ref21","article-title":"Source-free unsupervised domain adaptation with surrogate data generation","author":"yao","year":"2021","journal-title":"Proceedings of NeurIPS 2021 Workshop on Distribution Shifts Connecting Methods and Applications"}],"event":{"name":"2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","start":{"date-parts":[[2022,5,4]]},"location":"Hangzhou, China","end":{"date-parts":[[2022,5,6]]}},"container-title":["2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9775971\/9776016\/09776083.pdf?arnumber=9776083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T21:13:35Z","timestamp":1655154815000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9776083\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,4]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/cscwd54268.2022.9776083","relation":{},"subject":[],"published":{"date-parts":[[2022,5,4]]}}}