{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:49:07Z","timestamp":1773931747935,"version":"3.50.1"},"reference-count":21,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Regione Veneto project VIR2EM"},{"DOI":"10.13039\/501100003407","name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","doi-asserted-by":"publisher","award":["232\/2016"],"award-info":[{"award-number":["232\/2016"]}],"id":[{"id":"10.13039\/501100003407","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1109\/lra.2021.3091012","type":"journal-article","created":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T19:34:15Z","timestamp":1625513655000},"page":"6100-6107","source":"Crossref","is-referenced-by-count":8,"title":["AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data"],"prefix":"10.1109","volume":"6","author":[{"given":"Nicolo","family":"Bargellesi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2252-2179","authenticated-orcid":false,"given":"Alessandro","family":"Beghi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mirco","family":"Rampazzo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5739-9639","authenticated-orcid":false,"given":"Gian Antonio","family":"Susto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2020.104614"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.3014574"},{"key":"ref12","first-page":"1898","article-title":"Enhancing scalability of virtual metrology: A deep learning-based approach for domain adaptation","author":"gentner","year":"0","journal-title":"Proc IEEE Winter Simul Conf"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2018.03.003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2951622"},{"key":"ref15","first-page":"1068","article-title":"Neural audio synthesis of musical notes with wavenet autoencoders","author":"engel","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","article-title":"Dive into deep learning 2020","author":"zhang","year":"2020"},{"key":"ref18","first-page":"1","article-title":"N-beats: Neural basis expansion analysis for interpretable time series forecasting","author":"oreshkin","year":"2020","journal-title":"Int Conf Learn Representations"},{"key":"ref19","volume":"1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2496231"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2950716"},{"key":"ref6","author":"dong","year":"2018","journal-title":"Feature Engineering for Machine Learning and Data Analytics"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2809730"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2019.103922"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2008.05.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2917384"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2013.2288279"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2984443"},{"key":"ref20","article-title":"Interpretable machine learning","author":"molnar","year":"2020","journal-title":"Lulu Com"},{"key":"ref21","article-title":"Wavenet: A generative model for raw audio","author":"oord","year":"2016","journal-title":"arXiv 1609 03499"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9399748\/09461648.pdf?arnumber=9461648","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:02Z","timestamp":1652194442000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9461648\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":21,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/lra.2021.3091012","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}