{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:33:13Z","timestamp":1753601593328,"version":"3.37.3"},"reference-count":20,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1850546","IIS-2008973","CNS-1951974"],"award-info":[{"award-number":["IIS-1850546","IIS-2008973","CNS-1951974"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005626","name":"University Corporation for Atmospheric Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005626","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,6,1]]},"DOI":"10.1109\/tkde.2020.3019038","type":"journal-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T20:37:27Z","timestamp":1598387847000},"page":"2912-2920","source":"Crossref","is-referenced-by-count":8,"title":["Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8115-1115","authenticated-orcid":false,"given":"Wenchong","family":"He","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Alabama, Tuscaloosa, AL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3576-6976","authenticated-orcid":false,"given":"Zhe","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Alabama, Tuscaloosa, AL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-60195-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi4042306"},{"article-title":"Semi-supervised learning literature survey","year":"2005","author":"Zhu","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21236\/ada295618"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.895416"},{"article-title":"Learning from labeled and unlabeled data with label propagation","year":"2002","author":"Zhu","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143863"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2228275"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.06.017"},{"article-title":"The Bayesian structural EM algorithm","year":"2013","author":"Friedman","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1515\/strm-2017-0021"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220053"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2866809"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2930518"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330878"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3002887"},{"key":"ref18","article-title":"Data and imagery from noaa\u2019s national geodetic survey"},{"year":"2018","key":"ref19","article-title":"LIDAR Based Elevation Data for North Carolina"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.1995.tb00338.x"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/69\/9765561\/9177326-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9765561\/09177326.pdf?arnumber=9177326","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:04:34Z","timestamp":1704841474000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9177326\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,1]]},"references-count":20,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2020.3019038","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"type":"print","value":"1041-4347"},{"type":"electronic","value":"1558-2191"},{"type":"electronic","value":"2326-3865"}],"subject":[],"published":{"date-parts":[[2022,6,1]]}}}