{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T02:28:03Z","timestamp":1730255283298,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/icpr.2016.7900201","type":"proceedings-article","created":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T21:12:47Z","timestamp":1493068367000},"page":"3650-3654","source":"Crossref","is-referenced-by-count":0,"title":["Semi-supervised learning competence of classifiers based on graph for dynamic classifier selection"],"prefix":"10.1109","author":[{"family":"Cuiqin Hou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Yingju Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Zhuoran Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Jun Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/KES.2000.885788"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2478\/v10006-012-0063-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-008-0137-7"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/34.588027"},{"key":"ref14","first-page":"305","article-title":"Dynamic selection for effective mining from noisy data streams","author":"zhu","year":"2004","journal-title":"Proc 4th IEEE Int Conf Data Mining"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.03.027"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2011.03.007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIF.2007.4408123"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.10.015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2013.04.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/34.667881"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.78"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2004.04.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2004.04.008"},{"key":"ref7","first-page":"239","volume":"137","author":"zhou","year":"2002","journal-title":"Ensembling neural networks Many could be better than all Artificial Intelligence"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/0471660264"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/34.824819"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2006.09.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"journal-title":"UCI machine learning repository URL","year":"2007","author":"asuncion","key":"ref21"}],"event":{"name":"2016 23rd International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2016,12,4]]},"location":"Cancun","end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 23rd International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7893644\/7899596\/07900201.pdf?arnumber=7900201","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,5]],"date-time":"2017-06-05T20:49:32Z","timestamp":1496695772000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7900201\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icpr.2016.7900201","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}