{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T11:09:19Z","timestamp":1771844959141,"version":"3.50.1"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100006261","name":"Taif University","doi-asserted-by":"publisher","award":["1-438-5730"],"award-info":[{"award-number":["1-438-5730"]}],"id":[{"id":"10.13039\/501100006261","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2018.2886315","type":"journal-article","created":{"date-parts":[[2018,12,11]],"date-time":"2018-12-11T19:53:12Z","timestamp":1544557992000},"page":"1107-1117","source":"Crossref","is-referenced-by-count":33,"title":["Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6638-7039","authenticated-orcid":false,"given":"Sami","family":"Bourouis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9519-3391","authenticated-orcid":false,"given":"Atef","family":"Zaguia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nizar","family":"Bouguila","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roobaea","family":"Alroobaea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70716"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.162"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/NCA.2013.16"},{"key":"ref32","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref31","volume":"1","author":"vapnik","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-5808-9"},{"key":"ref37","first-page":"487","article-title":"Exploiting generative models in discriminative classifiers","author":"jaakkola","year":"1999","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","first-page":"545","article-title":"Classification with hybrid generative\/discriminative models","author":"raina","year":"2004","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.12.010"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref60","first-page":"267","article-title":"Zoom-in-net: Deep mining lesions for diabetic retinopathy detection","author":"wang","year":"2017","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ISM.2016.0049"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2016.0140"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2015.12.006"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/AICCSA.2017.108"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2294635"},{"key":"ref27","author":"mclachlan","year":"2004","journal-title":"Finite Mixture Models"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/52\/24\/012"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2007.4353456"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2015.03.018"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238371"},{"key":"ref68","first-page":"181","article-title":"An effective approach to detect lesions in color retinal images","volume":"2","author":"wang","year":"2000","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.01.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2707578"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2794988"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2193126"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2008.08.009"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2228665"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2064333"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2007.898551"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2012.03.009"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2205687"},{"key":"ref50","author":"vapnik","year":"2013","journal-title":"The Nature of Statistical Learning Theory"},{"key":"ref51","first-page":"1385","article-title":"A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications","author":"moreno","year":"2004","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1186\/s41074-017-0023-6"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.10.017"},{"key":"ref57","first-page":"287","article-title":"Fast-bow: Scaling bag-of-visual-words generation","author":"singh","year":"2018","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","article-title":"Speeded-up robust features (SURF)","volume":"110","author":"bay","year":"2008","journal-title":"Comput Vis Image Understand"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/18.61115"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24672-5_34"},{"key":"ref53","article-title":"A family of probabilistic kernels based on information divergence","author":"chan","year":"2004"},{"key":"ref52","first-page":"57","article-title":"Bhattacharyya and expected likelihood kernels","author":"jebara","year":"2003","journal-title":"Proc 16th Annu Conf Kernel Mach (COLT)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2008.2007493"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/09500340903118517"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2004.04.003"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2011.05.004"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2013.05.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2227119"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.12.017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-008-9154-8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-011-9663-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2037146"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2008.920619"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopha.2017.11.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2752701"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2815345"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2017.01.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1136\/bjo.2007.119453"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2337\/dc07-1312"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2010.03.046"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.133"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT.2017.7915513"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1007\/978-3-319-93000-8_78","article-title":"Hybrid statistical framework for diabetic retinopathy detection","author":"bourouis","year":"2018","journal-title":"Proc Int Conf Image Anal Recognit (ICIAR)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(78)90005-5"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/34.824819"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93000-8_46"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.04.031"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08572693.pdf?arnumber=8572693","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T01:38:16Z","timestamp":1643161096000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8572693\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2886315","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}