{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T04:45:18Z","timestamp":1783399518645,"version":"3.54.6"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"T\u00dcB\u0130TAK, The Scientific and Technological Research Council of Turkey","award":["119E429"],"award-info":[{"award-number":["119E429"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3088717","type":"journal-article","created":{"date-parts":[[2021,6,11]],"date-time":"2021-06-11T19:43:15Z","timestamp":1623440595000},"page":"86083-86095","source":"Crossref","is-referenced-by-count":8,"title":["Deep Convolutional Neural Network Ensembles Using ECOC"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7576-5791","authenticated-orcid":false,"given":"Sara Atito Ali","family":"Ahmed","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6141-2610","authenticated-orcid":false,"given":"Cemre","family":"Zor","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1122-0709","authenticated-orcid":false,"given":"Muhammad","family":"Awais","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7403-7592","authenticated-orcid":false,"given":"Berrin","family":"Yanikoglu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8110-9205","authenticated-orcid":false,"given":"Josef","family":"Kittler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/978-0-387-21579-2_9","article-title":"The boosting approach to machine learning: An overview","author":"schapire","year":"2003","journal-title":"Nonlinear Estimation Classification"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_41"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.06.064"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.07.066"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2167145"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/PCSPA.2010.88"},{"key":"ref37","article-title":"An open access repository of images on plant health to enable the development of mobile disease diagnostics","author":"hughes","year":"2015","journal-title":"arXiv 1511 08060"},{"key":"ref36","first-page":"12","article-title":"Reading digits in natural images with unsupervised feature learning","author":"netzer","year":"2011","journal-title":"Proc NIPS Workshop Deep Learn Unsupervised Feature Learn"},{"key":"ref35","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8882494"},{"key":"ref28","article-title":"Majority vote classifiers: Theory and applications","author":"james","year":"1998"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2307\/1390710"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.266"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2307\/2981392"},{"key":"ref20","first-page":"6638","article-title":"CatBoost: Unbiased boosting with categorical features","author":"prokhorenkova","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","first-page":"56","article-title":"Codes correcteurs d&#x2019;erreurs","volume":"2","author":"hocquenghem","year":"1959","journal-title":"Chiffers"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.104"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1613\/jair.105"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(60)90287-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.09.023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.116"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.104948"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.03.032"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2016.01419"},{"key":"ref52","article-title":"Factorized MultiClass boosting","author":"kuralenok","year":"2019","journal-title":"arXiv 1909 04904"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.09.005"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80023-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.mex.2020.100864"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054223"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-64185-0_28"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2018.00751"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901920"},{"key":"ref16","first-page":"1","article-title":"Image-based plant species identification with deep convolutional neural networks","author":"lasseck","year":"2017","journal-title":"Proc CLEF Working Notes"},{"key":"ref17","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"arXiv 1905 11946"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref19","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","author":"ke","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000015881.36452.6e"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/307400.307429"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50046-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2018.8551518"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1049\/cp:19991200"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.03.027"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899633"},{"key":"ref43","first-page":"149","article-title":"FLIP-ECOC: A greedy optimization of the ECOC matrix","author":"zor","year":"2010","journal-title":"Proc 25th Int Symp Comput Inf Sci (ISCIS)"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09452167.pdf?arnumber=9452167","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:33Z","timestamp":1639770993000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9452167\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3088717","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}