{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T19:30:49Z","timestamp":1769542249067,"version":"3.49.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100017800","name":"UC San Diego Academic Senate","doi-asserted-by":"publisher","award":["RG114404"],"award-info":[{"award-number":["RG114404"]}],"id":[{"id":"10.13039\/100017800","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2512912"],"award-info":[{"award-number":["2512912"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,2,1]]},"DOI":"10.1109\/jiot.2025.3640108","type":"journal-article","created":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:43:44Z","timestamp":1764787424000},"page":"5087-5096","source":"Crossref","is-referenced-by-count":0,"title":["An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5572-4224","authenticated-orcid":false,"given":"Huian","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, UC San Diego, San Diego, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6823-1364","authenticated-orcid":false,"given":"Rajeev","family":"Sahay","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, UC San Diego, San Diego, CA, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2018.8599861"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM47813.2019.9020949"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS.2016.7833571"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSP63128.2024.10605950"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3120419"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2010.2076347"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CCECE.2015.7129415"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2018.2806489"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/26.823550"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2009.12.080883"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2797022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3238995"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2971001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3164935"},{"key":"ref15","first-page":"7034","article-title":"Confidence-aware learning for deep neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Moon"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CISS50987.2021.9400326"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3515802"},{"key":"ref18","first-page":"20063","article-title":"Uncertainty quantification and deep ensembles","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Rahaman"},{"key":"ref19","first-page":"6405","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lakshminarayanan"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF53345.2021.9723384"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3269639"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3138978"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3329685"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2018.2867459"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2934069"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2886017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2868698"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2970922"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2991052"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CompComm.2017.8322633"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2951594"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1049\/icp.2024.0832"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3390038"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0217-y"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2015.7340924"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3208527"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3128395"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3719292"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3114154"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2022.3161138"},{"key":"ref42","article-title":"Explaining and harnessing adversarial examples","author":"Goodfellow","year":"2014","journal-title":"arXiv:1412.6572"},{"issue":"1","key":"ref43","first-page":"1","article-title":"Radio machine learning dataset generation with gnu radio","volume-title":"Proc. GNU Radio Conf.","volume":"1","author":"O\u2019Shea"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3022394"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3010832"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6488907\/11363065\/11275660-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11363065\/11275660.pdf?arnumber=11275660","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T06:02:14Z","timestamp":1769493734000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11275660\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,1]]},"references-count":45,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3640108","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,1]]}}}