{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T21:27:36Z","timestamp":1788298056898,"version":"build-2803163510"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100005416","name":"Norges Forskningsr\u00e5d","doi-asserted-by":"publisher","award":["308840"],"award-info":[{"award-number":["308840"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Equinor and Lundin"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tii.2022.3154783","type":"journal-article","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T21:46:45Z","timestamp":1646084805000},"page":"296-305","source":"Crossref","is-referenced-by-count":13,"title":["Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8236-7046","authenticated-orcid":false,"given":"Hasan Asy'ari","family":"Arief","sequence":"first","affiliation":[{"name":"NORCE Norwegian Research Centre, Bergen, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter James","family":"Thomas","sequence":"additional","affiliation":[{"name":"NORCE Norwegian Research Centre, Bergen, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5940-8102","authenticated-orcid":false,"given":"Tomasz","family":"Wiktorski","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2021.108070"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013714"},{"key":"ref11","first-page":"751","article-title":"Deep neural nets with interpolating function as output activation","author":"wang","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2496231"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/72.788640"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2019.2908700"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3059023"},{"key":"ref18","first-page":"395","article-title":"Vicinal risk minimization","author":"chapelle","year":"0","journal-title":"Proc 13th Int Conf Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2817538"},{"key":"ref4","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref28","first-page":"4651","article-title":"Perceiver: General perception with iterative attention","author":"jaegle","year":"2021","journal-title":"Int Conf Mach Learn"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s21082801"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.12.010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref8","first-page":"1","article-title":"Mixup: Beyond empirical risk minimization","author":"zhang","year":"0","journal-title":"Proc Int Conf Learn Representation"},{"key":"ref7","first-page":"5815","article-title":"Out-of-distribution generalization via risk extrapolation","author":"krueger","year":"2021","journal-title":"Int Conf Mach Learn"},{"key":"ref2","article-title":"Invariant risk minimization","author":"arjovsky","year":"2019"},{"key":"ref1","article-title":"Likelihood ratios for out-of-distribution detection","author":"ren","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref9","first-page":"6438","article-title":"Manifold Mixup: Better representations by interpolating hidden states","author":"verma","year":"0","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2829867"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.07.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8306.2004.09402009.x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2172\/1525811"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00630"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/9944026\/09722972.pdf?arnumber=9722972","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:44:05Z","timestamp":1670874245000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9722972\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":30,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tii.2022.3154783","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}