{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T11:00:39Z","timestamp":1777374039512,"version":"3.51.4"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100014796","name":"Center of Excellence in Theoretical and Computational Science (TaCS-CoE), King Mongkut\u2019s University of Technology Thonburi","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100014796","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3010099","type":"journal-article","created":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T20:26:01Z","timestamp":1595017561000},"page":"132095-132105","source":"Crossref","is-referenced-by-count":42,"title":["A k-Nearest Neighbours Based Ensemble via Optimal Model Selection for Regression"],"prefix":"10.1109","volume":"8","author":[{"given":"Amjad","family":"Ali","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Hamraz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5463-4581","authenticated-orcid":false,"given":"Poom","family":"Kumam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3919-8136","authenticated-orcid":false,"given":"Dost Muhammad","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Umair","family":"Khalil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4040-6211","authenticated-orcid":false,"given":"Muhammad","family":"Sulaiman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3933-9143","authenticated-orcid":false,"given":"Zardad","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2008.03.005"},{"key":"ref38","first-page":"179","author":"bailey","year":"1994","journal-title":"Smart Exercise Burning Fat Getting Fit"},{"key":"ref33","author":"becker","year":"1988","journal-title":"The New S Language"},{"key":"ref32","author":"freeny","year":"1977","journal-title":"A Portable Linear Regression Package with Test Programs"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2673241"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.12.022"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.cemconcomp.2007.02.001"},{"key":"ref36","article-title":"UCI machine learning repository","author":"bache","year":"2013"},{"key":"ref35","first-page":"68","author":"chatterjee","year":"1977","journal-title":"Regression Analysis by Example"},{"key":"ref34","author":"mosteller","year":"1977","journal-title":"Data Analysis and Regression A Second Course in Statistics"},{"key":"ref28","first-page":"703","article-title":"FeatureBoost: A meta-learning algorithm that improves model robustness","author":"o\u2019sullivan","year":"2000","journal-title":"Proc ICML"},{"key":"ref27","first-page":"148","article-title":"Experiments with a new boosting algorithm","author":"freund","year":"1996","journal-title":"Proc 13th Int Conf Mach Learn"},{"key":"ref29","first-page":"116","article-title":"Ensembles of local linear models for bankruptcy analysis and prediction","volume":"4","author":"kainulainen","year":"2014","journal-title":"Case Studies in Business Industry and Government Statistics"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1080\/00031305.1992.10475879","article-title":"An introduction to kernel and nearest-neighbor nonparametric regression","volume":"46","author":"altman","year":"1992","journal-title":"Amer Statistician"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref20","first-page":"1","article-title":"MKNN: Modified k-nearest neighbor","volume":"1","author":"parvin","year":"2008","journal-title":"Proc World Congr Eng Comput Sci"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/BF01759061"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-005-0005-5"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-25966-4_7"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSET.2002.1015937"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2005.845396"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2976832"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922432"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.09.016"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2988157"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-008-5096-0"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2014.112"},{"key":"ref40","author":"meyer","year":"2017","journal-title":"Misc Functions of the Department of Statistics Probability Theory Group (Formerly E1071) TU Wien"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-015-0227-5"},{"key":"ref13","first-page":"311","article-title":"A note on distance-weighted k-nearest neighbor rules","volume":"smc 8","author":"bailey","year":"1978","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1979.1056066"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102355"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-2053-3_4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1972.1054809"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39964-3_62"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.4304\/jcp.4.3.230-237"},{"key":"ref4","article-title":"Survey of nearest neighbor techniques","author":"bhatia","year":"2010","journal-title":"arXiv 1007 0085"},{"key":"ref3","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S1088-467X(99)00018-9"},{"key":"ref5","first-page":"103","article-title":"Introspection of various K-nearest neighbor techniques","volume":"3","author":"kulkarni","year":"2013","journal-title":"Int J Adv Comp Sci Appl"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334065"},{"key":"ref7","first-page":"319","article-title":"Combining multiple k-neighbor classifiers using feature combinations","volume":"2","author":"kaneko","year":"2000","journal-title":"J IECIE"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2999394"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.02.065"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.6.888"},{"key":"ref45","author":"li","year":"2015","journal-title":"rknn Random KNN Classification and Regression R Package Version 1 2-1"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2880198"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(99)00172-4"},{"key":"ref42","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v011.i09"},{"key":"ref44","author":"beygelzimer","year":"2013","journal-title":"FNN fast nearest neighbor search algorithms and applications R package version 1 1"},{"key":"ref43","year":"2017","journal-title":"R A Language and Environment for Statistical Computing"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09143105.pdf?arnumber=9143105","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T08:23:01Z","timestamp":1723278181000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9143105\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3010099","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}