{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T17:06:57Z","timestamp":1780074417446,"version":"3.54.0"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T00:00:00Z","timestamp":1541030400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/tcyb.2017.2765665","type":"journal-article","created":{"date-parts":[[2017,11,1]],"date-time":"2017-11-01T21:03:45Z","timestamp":1509570225000},"page":"3080-3091","source":"Crossref","is-referenced-by-count":6,"title":["Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework"],"prefix":"10.1109","volume":"48","author":[{"given":"Yingjie","family":"Xia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liqiang","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2281451"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2393400"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015425"},{"key":"ref32","first-page":"608","article-title":"Mapping and revising Markov logic networks for transfer learning","author":"mihalkova","year":"2007","journal-title":"Proc Nat Conf Artif Intell"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553402"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"ref37","first-page":"540","article-title":"Transferring naive bayes classifiers for text classification","author":"dai","year":"2007","journal-title":"Proc Nat Conf Artif Intell"},{"key":"ref36","first-page":"4","article-title":"An improved categorization of classifier&#x2019;s sensitivity on sample selection bias","author":"fan","year":"2005","journal-title":"Proc IEEE Int Conf Data Min"},{"key":"ref35","first-page":"1433","article-title":"Direct importance estimation with model selection and its application to covariate shift adaptation","author":"sugiyama","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","first-page":"601","article-title":"Correcting sample selection bias by unlabeled data","author":"huang","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015382"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390182"},{"key":"ref29","first-page":"153","article-title":"Multi-task Gaussian process prediction","author":"bonilla","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref2","year":"2014","journal-title":"One in Seven People With Skin Disease Suffer Silently With &#x2018;Severe Pain&#x2019; Survey"},{"key":"ref1","first-page":"187","article-title":"Diagnosing skin diseases using an artificial neural network","author":"kabari","year":"2009","journal-title":"Proc Int Conf Adapt Sci Technol"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2360894"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-35428-1_20","article-title":"Supervised image segmentation across scanner protocols: A transfer learning approach","author":"van opbroek","year":"2012","journal-title":"Machine Learning in Medical Imaging"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"ref24","first-page":"41","article-title":"Multi-task feature learning","author":"argyriou","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273592"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273558"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2285219"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2039566"},{"key":"ref57","first-page":"2860","article-title":"Latent domains modeling for visual domain adaptation","author":"xiong","year":"2014","journal-title":"Proc Assoc Advance Artif Intell"},{"key":"ref56","first-page":"1286","article-title":"Reshaping visual datasets for domain adaptation","author":"gong","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33709-3_50"},{"key":"ref54","first-page":"122","article-title":"Source free transfer learning for text classification","author":"lu","year":"2014","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148253"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2399298"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICACC.2013.48"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IECBES.2012.6498195"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2311014"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS.2003.1562298"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1975.5408436"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2007.904579"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882344"},{"key":"ref16","first-page":"4801","article-title":"Automated detection of skin diseases using texture features","volume":"3","author":"mittra","year":"2011","journal-title":"Int J Eng Sci Technol"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0846.2009.00413.x"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2010.648.652"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0129-0657(00)00002-8"},{"key":"ref4","article-title":"Automating skin disease diagnosis using image classification","author":"okuboyejo","year":"2013","journal-title":"Proc Int Conf Model Health Adv"},{"key":"ref3","first-page":"1","article-title":"A diagnostic software tool for skin diseases with basic and weighted K-NN","author":"\u00e7ataloluk","year":"2012","journal-title":"Proc Int Symp Innov Intell Syst Appl"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2008.4649385"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2010.5626242"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35428-1_33"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2311033"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540018"},{"key":"ref9","first-page":"1675","article-title":"Dermatological disease diagnosis using color-skin images","author":"arifin","year":"2012","journal-title":"Proc Int Conf Mach Learn Cybern"},{"key":"ref46","first-page":"1391","article-title":"A least-squares approach to direct importance estimation","volume":"10","author":"kanamori","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2356136"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.49"},{"key":"ref47","author":"quionero-candela","year":"2009","journal-title":"Dataset Shift in Machine Learning"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2180868.2180875"},{"key":"ref41","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2245890"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2336697"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/8491743\/08093746.pdf?arnumber=8093746","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T19:30:27Z","timestamp":1643225427000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8093746\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":57,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2017.2765665","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11]]}}}