{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T12:39:32Z","timestamp":1764333572210,"version":"build-2065373602"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"20","license":[{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Swiss Federal Institute of Metrology"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,10,15]]},"DOI":"10.1109\/jiot.2025.3597150","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T18:41:11Z","timestamp":1754678471000},"page":"42559-42572","source":"Crossref","is-referenced-by-count":1,"title":["Efficient Unsupervised Domain Adaptation Regression for Spatial\u2013Temporal Sensor Fusion"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0311-5877","authenticated-orcid":false,"given":"Keivan","family":"Faghih Niresi","sequence":"first","affiliation":[{"name":"Intelligent Maintenance and Operations Systems Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7351-6214","authenticated-orcid":false,"given":"Ismail","family":"Nejjar","sequence":"additional","affiliation":[{"name":"Intelligent Maintenance and Operations Systems Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9546-1488","authenticated-orcid":false,"given":"Olga","family":"Fink","sequence":"additional","affiliation":[{"name":"Intelligent Maintenance and Operations Systems Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s40726-019-00118-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ese.2023.100330"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.05.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s42162-023-00259-2"},{"volume-title":"Low-cost sensors for the measurement of atmospheric composition: Overview of topic and future applications","year":"2018","author":"Lewis","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2748987"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2965283"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5194\/amt-10-3575-2017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaerosci.2021.105833"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.001.2300112"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3239626"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3333824"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2950416"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117921"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02587-w"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3434732"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3381002"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106746"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SENSORS56945.2023.10325090"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2024.3355750"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3400066"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16846"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/378"},{"key":"ref25","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5692"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00846"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3122899"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1_10"},{"key":"ref30","first-page":"1749","article-title":"Representation subspace distance for domain adaptation regression","volume-title":"Proc. ICML","author":"Chen"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01130"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2023.3333824"},{"key":"ref33","article-title":"Layer by layer: Uncovering hidden representations in language models","author":"Skean","year":"2025","journal-title":"arXiv:2502.02013"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.6028\/jres.045.026"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3443141"},{"key":"ref37","first-page":"1","article-title":"How powerful are graph neural networks?","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xu"},{"key":"ref38","first-page":"7052","article-title":"On the equivalence between temporal and static equivariant graph representations","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","author":"Gao"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01588-5"},{"key":"ref40","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Veli\u010dkovi\u0107"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2018.09.257"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.107127"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/data4010014"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.03.005"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref46","first-page":"179","article-title":"Domain generalization via nuclear norm regularization","volume-title":"Proc. Conf. Parsimony Learn.","author":"Shi"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3144250"},{"key":"ref48","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref49","article-title":"Unsupervised domain adaptation through self-supervision","author":"Sun","year":"2019","journal-title":"arXiv:1909.11825"},{"key":"ref50","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Ganin"},{"key":"ref51","article-title":"Uncertainty-guided alignment for unsupervised domain adaptation in regression","author":"Nejjar","year":"2024","journal-title":"arXiv:2401.13721"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/wics.1375"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11197149\/11121069.pdf?arnumber=11121069","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:55:23Z","timestamp":1760032523000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11121069\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,15]]},"references-count":52,"journal-issue":{"issue":"20"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3597150","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"type":"electronic","value":"2327-4662"},{"type":"electronic","value":"2372-2541"}],"subject":[],"published":{"date-parts":[[2025,10,15]]}}}