{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T16:29:51Z","timestamp":1782750591237,"version":"3.54.5"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Minnesota\u2019s Discovery, Research, and InnoVation Economy (MnDRIVE) program through the research area of Robotics, Sensors, and Advanced Manufacturing"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2872801","type":"journal-article","created":{"date-parts":[[2018,10,2]],"date-time":"2018-10-02T18:31:39Z","timestamp":1538505099000},"page":"56870-56884","source":"Crossref","is-referenced-by-count":81,"title":["Ensemble Feature Selection for Plant Phenotyping: A Journey From Hyperspectral to Multispectral Imaging"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9249-8365","authenticated-orcid":false,"given":"Ali","family":"Moghimi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ce","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter M.","family":"Marchetto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Ensemble feature selection for high dimensional data: A new method and a comparative study","author":"ben brahim","year":"2017","journal-title":"Advances in Data Analysis and Classification"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref33","first-page":"359","article-title":"Correlation-based feature selection for discrete and numeric class machine learning","author":"hall","year":"2000","journal-title":"Proc 17th Int Conf Mach Learn"},{"key":"ref32","article-title":"Hyperspectral image dataset for salt stress phenotyping of wheat","author":"moghimi","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2642479"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2209657"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008280620621"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-247-2.50037-1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/rcs.1897"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btp630"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.19.1.010901"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1021\/acs.analchem.7b04039"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpharm.2017.03.022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2018.01182"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/srep22482"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10658-011-9878-z"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm344"},{"key":"ref18","author":"tang","year":"2014","journal-title":"Feature Selection for Classification A Review"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/978-3-540-87481-2_21","article-title":"Robust feature selection using ensemble feature selection techniques","author":"saeys","year":"2008","journal-title":"Proc Eur Conf Mach Learn Knowl Discovery Databases"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/198363"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.06.020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2007.905116"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2462125"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2017.08.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2008.02.011"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12303-017-0078-5"},{"key":"ref8","article-title":"Hyperspectral imaging to identify salt-tolerant wheat lines","volume":"10218","author":"moghimi","year":"0","journal-title":"Proc SPIE"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s13068-018-1090-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s13007-018-0313-8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s120100162"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.02.003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1111\/tgis.12268"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/jxb\/erj100"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.7763\/IJMLC.2012.V2.124"},{"key":"ref42","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.postharvbio.2017.03.007"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1002\/9781118914564.ch9"},{"key":"ref23","first-page":"1200","article-title":"A review of feature selection methods with applications","author":"jovi?","year":"2015","journal-title":"Proc Int Conv Inf Commun Technol Electron Microelectron (MIPRO)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/srep21476"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.02.024"},{"key":"ref43","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-48318-9","author":"hwang","year":"1981","journal-title":"Multiple Attribute Decision Making Theory and Methods"},{"key":"ref25","author":"nagasubramanian","year":"2017","journal-title":"Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08479334.pdf?arnumber=8479334","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T18:02:37Z","timestamp":1643220157000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8479334\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2872801","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}