{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T20:59:43Z","timestamp":1774558783747,"version":"3.50.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100019906","name":"Infineon Technologies AG","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019906","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019906","name":"European Union in thecontext of the Horizon Europe project AIMS5.0 - Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0","doi-asserted-by":"publisher","award":["101112089"],"award-info":[{"award-number":["101112089"]}],"id":[{"id":"10.13039\/501100019906","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tase.2025.3621854","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T18:07:54Z","timestamp":1761588474000},"page":"3818-3828","source":"Crossref","is-referenced-by-count":1,"title":["Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing"],"prefix":"10.1109","volume":"23","author":[{"given":"Adrian","family":"Poniatowski","sequence":"first","affiliation":[{"name":"Infineon Technologies AG, Neubiberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1245-7417","authenticated-orcid":false,"given":"Natalie","family":"Gentner","sequence":"additional","affiliation":[{"name":"Infineon Technologies AG, Neubiberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Barusco","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, University of Padua, Padua, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4741-1021","authenticated-orcid":false,"given":"Davide Dalle","family":"Pezze","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, University of Padua, Padua, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5609-426X","authenticated-orcid":false,"given":"Samuele","family":"Salti","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5739-9639","authenticated-orcid":false,"given":"Gian Antonio","family":"Susto","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, University of Padua, Padua, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3141186"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2021.3127995"},{"key":"ref3","article-title":"Adamatch: A unified approach to semi-supervised learning and domain adaptation","volume-title":"Proc. Int. Conf. Learning Represent.","author":"Roelofs"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109821"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2014.2364237"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN51400.2023.10218065"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISSM.2018.8651174"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ETFA.2019.8869311"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2019.2902657"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2019.2963656"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2022.3159246"},{"issue":"2","key":"ref13","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"3","author":"Lee"},{"key":"ref14","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Sohn"},{"key":"ref15","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Tarvainen"},{"key":"ref16","article-title":"AugMix: A simple data processing method to improve robustness and uncertainty","author":"Hendrycks","year":"2019","journal-title":"arXiv:1912.02781"},{"key":"ref17","article-title":"ReMixMatch: Semi-supervised learning with distribution alignment and augmentation anchoring","author":"Berthelot","year":"2019","journal-title":"arXiv:1911.09785"},{"key":"ref18","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017","journal-title":"arXiv:1708.04552"},{"key":"ref19","article-title":"AdaEmbed: Semi-supervised domain adaptation in the embedding space","author":"Mottaghi","year":"2024","journal-title":"arXiv:2401.12421"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref21","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv:1411.1784"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.463"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/icecai62591.2024.10675013"},{"key":"ref28","article-title":"AVATAR: Adversarial self-superVised domain adaptation network for TARget domain","author":"Kataoka","year":"2023","journal-title":"arXiv:2305.00082"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2021.104914"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.08.005"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-023-06343-8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.110023"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191761"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_40"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref36","article-title":"AutoAugment: Learning augmentation policies from data","author":"Cubuk","year":"2018","journal-title":"arXiv:1805.09501"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8856\/11323516\/11217281.pdf?arnumber=11217281","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T19:53:16Z","timestamp":1774554796000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11217281\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/tase.2025.3621854","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}