{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:10:06Z","timestamp":1740100206276,"version":"3.37.3"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CCF\u20131733834"],"award-info":[{"award-number":["CCF\u20131733834"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534108","type":"proceedings-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T20:40:52Z","timestamp":1632256852000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Sequential Data Imputation with Evolving Generative Adversarial Networks"],"prefix":"10.1109","author":[{"given":"Haripriya","family":"Chakraborty","sequence":"first","affiliation":[]},{"given":"Priyanka","family":"Samanta","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"UCI Machine Learning Repository","year":"2013","author":"lichman","key":"ref39"},{"key":"ref38","article-title":"Misgan: Learning from incomplete data with generative adversarial networks","author":"li","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/s19081826"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-1501-5_71"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"3521","DOI":"10.1073\/pnas.1611835114","article-title":"Overcoming catastrophic forgetting in neural networks","volume":"114","author":"kirkpatrick","year":"0","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2895748"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.4.473"},{"key":"ref36","first-page":"270","article-title":"A survey on deep transfer learning","author":"tan","year":"2018","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref35","article-title":"A survey of model compression and acceleration for deep neural networks","author":"cheng","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0100467"},{"key":"ref10","first-page":"299","article-title":"Transfer learning for text classification","author":"do","year":"2006","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2015.7415532"},{"key":"ref13","article-title":"Negotiated learning for smart grid agents: entity selection based on dynamic partially observable features","author":"reddy","year":"0","journal-title":"Twenty-Seventh AAAI Conference on Artificial Intelligence"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1998.10473737"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/63.3.581"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2307\/2290664"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9531.2007.00180.x"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.06.021"},{"key":"ref19","first-page":"3","article-title":"Supervised machine learning: A review of classification techniques","volume":"160","author":"kotsiantis","year":"2007","journal-title":"Emerging Artificial Intelligence Applications in Computer Engineering"},{"key":"ref28","article-title":"Lifelong learning with dynamically expandable network","author":"yoon","year":"0","journal-title":"International Conference on Learning Representations The 3rd International Conference for Learning Representations"},{"key":"ref4","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2012.12.007"},{"journal-title":"Centers for Disease Control and Prevention","article-title":"Behavioral risk factor surveillance system operational and user's guide","year":"2006","key":"ref3"},{"key":"ref6","first-page":"5675","article-title":"Gain: Missing data imputation using generative adversarial nets","author":"yoon","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1080\/09540098908915647"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00259"},{"key":"ref8","first-page":"1596","article-title":"Multivariate time series imputation with generative adversarial networks","author":"luo","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Generating multi-categorical samples with generative adversarial networks","author":"camino","year":"0","journal-title":"ICML Workshop"},{"key":"ref2","first-page":"1","article-title":"Design and estimation for the national health interview survey 1985–94","volume":"110","author":"massey","year":"1989","journal-title":"Vital and Health Statistics Series 2 Data Evaluation and Methods Research"},{"key":"ref9","article-title":"Learning with augmented features for heterogeneous domain adaptation","author":"duan","year":"2012","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.01.015"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357863"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1191\/096228099666230705"},{"key":"ref21","first-page":"1","article-title":"mice: Multivariate imputation by chained equations in r","author":"buuren","year":"2010","journal-title":"Journal of Statistical Software"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"6085","DOI":"10.1038\/s41598-018-24271-9","article-title":"Recurrent neural networks for multivariate time series with missing values","volume":"8","author":"che","year":"2018","journal-title":"Scientific Reports"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2796.2010.02274.x"},{"key":"ref26","first-page":"3367","article-title":"Matrix completion and low-rank svd via fast alternating least squares","volume":"16","author":"hastie","year":"2015","journal-title":"The Journal of Machine Learning Research"},{"key":"ref25","article-title":"Maskgan: better text generation via filling in the_","author":"fedus","year":"2018","journal-title":"ArXiv Preprint"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534108.pdf?arnumber=9534108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:18Z","timestamp":1652197578000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534108\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534108","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}