{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T16:59:13Z","timestamp":1772989153519,"version":"3.50.1"},"reference-count":78,"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":[{"DOI":"10.13039\/100005156","name":"Georg Forster Research Fellowship for Experienced Researchers from the Alexander von Humboldt-Stiftung\/Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005156","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"German Research Foundation (DFG) on Crosssmodal Learning","doi-asserted-by":"publisher","award":["TRR169"],"award-info":[{"award-number":["TRR169"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004386","name":"Impact Oriented Interdisciplinary Research Grant (IIRG) from the University of Malaya","doi-asserted-by":"publisher","award":["IIRG002C-19HWB"],"award-info":[{"award-number":["IIRG002C-19HWB"]}],"id":[{"id":"10.13039\/501100004386","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3072120","type":"journal-article","created":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T19:42:26Z","timestamp":1617997346000},"page":"61513-61531","source":"Crossref","is-referenced-by-count":21,"title":["Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8833-2189","authenticated-orcid":false,"given":"Wei Shiung","family":"Liew","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7867-2665","authenticated-orcid":false,"given":"Chu Kiong","family":"Loo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1343-4775","authenticated-orcid":false,"given":"Stefan","family":"Wermter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1080\/01969727308546046"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2921832"},{"key":"ref70","first-page":"373","article-title":"Two level clustering for quality improvement using fuzzy subtractive clustering and self-organizing map","volume":"15","author":"lisangan","year":"2015","journal-title":"Indonesian J Electr Eng Comput Sci"},{"key":"ref76","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952681"},{"key":"ref74","first-page":"583","article-title":"Cluster ensembles&#x2014;A knowledge reuse framework for combining multiple partitions","volume":"3","author":"strehl","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29934-6_29"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/BF01908075"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1186\/2190-8532-1-20"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683290"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/info10070239"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2910499"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2311044"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CW.2010.37"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2017.2728521"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2000.888768"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/72.159059"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2931874"},{"key":"ref60","first-page":"1","article-title":"The class imbalance problem: Significance and strategies","volume":"56","author":"japkowicz","year":"2000","journal-title":"Proc Int Conf Artif Intell"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-2010-0438"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2018.00078"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-014-1632-y"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISDA.2015.7489211"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2046173"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2019.8925516"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0146116"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0138-9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.3014842"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.900234"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2880224"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.10.011"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(19)30123-2"},{"key":"ref1","article-title":"Mastering chess and shogi by self-play with a general reinforcement learning algorithm","author":"silver","year":"2017","journal-title":"arXiv 1712 01815"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.246"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2797176"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-2581"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/sym12010021"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCT.2015.72"},{"key":"ref26","first-page":"4765","article-title":"A unified approach to interpreting model predictions","author":"lundberg","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358160"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2515084"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/s18113744"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.19026\/rjaset.9.2604"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3910-6"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1166\/asl.2011.1537"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-016-2179-2"},{"key":"ref54","first-page":"92","article-title":"An improved SMOTE algorithm based on genetic algorithm for imbalanced data classification","volume":"14","author":"gu","year":"2016","journal-title":"J Digit Inf Manage"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.07.070"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-52237-7_19"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.15"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2688239"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-011-9265-3"},{"key":"ref12","article-title":"AMIGOS: A dataset for affect, personality and mood research on individuals and groups","author":"correa","year":"2018","journal-title":"IEEE Trans Affect Comput"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1037\/h0077714"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2008.08.015"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195169157.001.0001","author":"coan","year":"2007","journal-title":"Handbook of Emotion Elicitation and Assessment"},{"key":"ref16","first-page":"3113","article-title":"A survey on EEG based emotion analysis using various feature extraction techniques","volume":"3","author":"preethi","year":"2014","journal-title":"Int J Sci Eng Technol Res"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.11.007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3143014"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3321509"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v38i3.2741"},{"key":"ref3","article-title":"One-shot learning with memory-augmented neural networks","author":"santoro","year":"2016","journal-title":"arXiv 1605 06065"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"210","DOI":"10.23919\/MIPRO.2018.8400040","article-title":"Explainable artificial intelligence: A survey","author":"do\u0161ilovi?","year":"2018","journal-title":"Proc 41st Int Conv Inf Commun Technol Electron Microelectron (MIPRO)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2018.8490433"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1037\/emo0000226"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2011.03.004"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-6602-3_3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2018.06.009"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.09.012"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000012008"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-017-0517-y"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/1439-7641(20020315)3:3<285::AID-CPHC285>3.0.CO;2-A"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.10.032"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2016.7844554"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s11571-015-9333-5"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09399868.pdf?arnumber=9399868","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T00:43:08Z","timestamp":1724805788000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9399868\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":78,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3072120","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}