{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T01:09:34Z","timestamp":1773796174126,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2016,6,1]],"date-time":"2016-06-01T00:00:00Z","timestamp":1464739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100007040","name":"Singapore University of Technology and Design","doi-asserted-by":"publisher","award":["SRG ESD 2012 033"],"award-info":[{"award-number":["SRG ESD 2012 033"]}],"id":[{"id":"10.13039\/501100007040","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007040","name":"Singapore University of Technology and Design","doi-asserted-by":"publisher","award":["SRG ESD 2013 061"],"award-info":[{"award-number":["SRG ESD 2013 061"]}],"id":[{"id":"10.13039\/501100007040","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2016,6]]},"DOI":"10.1109\/tcyb.2015.2444435","type":"journal-article","created":{"date-parts":[[2015,7,7]],"date-time":"2015-07-07T17:30:10Z","timestamp":1436290210000},"page":"1424-1437","source":"Crossref","is-referenced-by-count":47,"title":["Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach"],"prefix":"10.1109","volume":"46","author":[{"given":"Gulsah","family":"Karakaya","sequence":"first","affiliation":[]},{"given":"Stefano","family":"Galelli","sequence":"additional","affiliation":[]},{"given":"Selin Damla","family":"Ahipasaoglu","sequence":"additional","affiliation":[]},{"given":"Riccardo","family":"Taormina","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2298235"},{"key":"ref33","author":"bache","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21551-3_19"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-011-0019-y"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2168604"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025034"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2009.03.002"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2008.10.019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1974.10489157"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2227469"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ADPRL.2011.5967387"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00075"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2010.05.037"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0090949"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14400-4_20"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref18","author":"witten","year":"2005","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.02.032"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00053"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720005001004"},{"key":"ref3","first-page":"1205","article-title":"Efficient feature selection via analysis of relevance and redundancy","volume":"5","author":"yu","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(94)90084-1"},{"key":"ref29","author":"coello","year":"2007","journal-title":"Evolutionary Algorithms for Solving Multi-Objective Problems"},{"key":"ref5","first-page":"249","author":"kira","year":"1992","journal-title":"Proc 9th Int Workshop Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2347372"},{"key":"ref2","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71618-1_27"},{"key":"ref1","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1007\/978-3-642-30278-7_28","article-title":"Comparison of multi-objective algorithms applied to feature selection","author":"t\u00fcrk?en","year":"2013","journal-title":"Towards Advanced Data Analysis by Combining Soft Computing and Statistics"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/10079731X"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.900837"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.10.027"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1002\/wrcr.20339"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0255(01)00144-X"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.06.075"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1109\/TCYB.2013.2269765","article-title":"Extremely high-dimensional feature selection via feature generating samplings","volume":"44","author":"li","year":"2014","journal-title":"IEEE Trans Cybern"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipl.2009.03.029"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/7466429\/07150365.pdf?arnumber=7150365","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:44:57Z","timestamp":1641987897000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7150365\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6]]},"references-count":43,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2015.2444435","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,6]]}}}