{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T06:04:24Z","timestamp":1759385064932,"version":"3.37.3"},"reference-count":83,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61806070","51737003"],"award-info":[{"award-number":["61806070","51737003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"crossref","award":["F2018202088"],"award-info":[{"award-number":["F2018202088"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:p> Traditional training methods need to collect a large amount of data for every subject to train a subject-specific classifier, which causes subjects fatigue and training burden. This study proposes a novel training method, TrAdaBoost based on cross-validation and an adaptive threshold (CV-T-TAB), to reduce the amount of data required for training by selecting and combining multiple subjects\u2019 classifiers that perform well on a new subject to train a classifier. This method adopts cross-validation to extend the amount of the new subject\u2019s training data and sets an adaptive threshold to select the optimal combination of the classifiers. Twenty-five subjects participated in the N200- and P300-based brain\u2013computer interface. The study compares CV-T-TAB to five traditional training methods by testing them on the training of a support vector machine. The accuracy, information transfer rate, area under the curve, recall and precision are used to evaluate the performances under nine conditions with different amounts of data. CV-T-TAB outperforms the other methods and retains a high accuracy even when the amount of data is reduced to one-third of the original amount. The results imply that CV-T-TAB is effective in improving the performance of a subject-specific classifier with a small amount of data by adopting multiple subjects\u2019 classifiers, which reduces the training cost. <\/jats:p>","DOI":"10.1142\/s0129065720500094","type":"journal-article","created":{"date-parts":[[2019,12,22]],"date-time":"2019-12-22T20:44:05Z","timestamp":1577047445000},"page":"2050009","source":"Crossref","is-referenced-by-count":4,"title":["A TrAdaBoost Method for Detecting Multiple Subjects\u2019 N200 and P300 Potentials Based on Cross-Validation and an Adaptive Threshold"],"prefix":"10.1142","volume":"30","author":[{"given":"Mengfan","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Lin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guizhi","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2020,2,18]]},"reference":[{"key":"S0129065720500094BIB001","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065718500235"},{"key":"S0129065720500094BIB002","doi-asserted-by":"publisher","DOI":"10.1515\/revneuro-2013-0032"},{"key":"S0129065720500094BIB003","doi-asserted-by":"publisher","DOI":"10.1177\/1073858414549015"},{"key":"S0129065720500094BIB004","doi-asserted-by":"publisher","DOI":"10.1142\/S012906571750054X"},{"key":"S0129065720500094BIB005","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065717500332"},{"key":"S0129065720500094BIB006","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2013.12.043"},{"key":"S0129065720500094BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2015.03.014"},{"key":"S0129065720500094BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.10.008"},{"key":"S0129065720500094BIB009","doi-asserted-by":"publisher","DOI":"10.1080\/17470919.2016.1251965"},{"key":"S0129065720500094BIB010","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2010.10.029"},{"key":"S0129065720500094BIB011","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2014.00247"},{"key":"S0129065720500094BIB012","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2010.2049862"},{"key":"S0129065720500094BIB013","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2017.00048"},{"key":"S0129065720500094BIB014","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(88)90149-6"},{"issue":"2","key":"S0129065720500094BIB015","first-page":"223","volume":"30","author":"Wang J.","year":"2013","journal-title":"J. Biomed. Eng."},{"issue":"4","key":"S0129065720500094BIB016","first-page":"762","volume":"31","author":"Wang J.","year":"2014","journal-title":"J. Biomed. Eng."},{"key":"S0129065720500094BIB017","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065711002808"},{"key":"S0129065720500094BIB018","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065714500038"},{"key":"S0129065720500094BIB019","doi-asserted-by":"publisher","DOI":"10.1109\/ENBENG.2017.7889483"},{"key":"S0129065720500094BIB020","doi-asserted-by":"publisher","DOI":"10.1016\/0096-3003(94)90134-1"},{"key":"S0129065720500094BIB021","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab0ab5"},{"key":"S0129065720500094BIB022","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aab2f2"},{"key":"S0129065720500094BIB023","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.125"},{"key":"S0129065720500094BIB024","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0172578"},{"key":"S0129065720500094BIB025","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2015.00146"},{"key":"S0129065720500094BIB026","first-page":"129021","author":"Ding S.-F.","year":"2015","journal-title":"Math. Probl. Eng."},{"key":"S0129065720500094BIB027","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2016.11.002"},{"key":"S0129065720500094BIB028","doi-asserted-by":"publisher","DOI":"10.1002\/brb3.870"},{"key":"S0129065720500094BIB029","doi-asserted-by":"publisher","DOI":"10.1017\/thg.2012.6"},{"key":"S0129065720500094BIB030","doi-asserted-by":"publisher","DOI":"10.1126\/science.887923"},{"key":"S0129065720500094BIB031","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116285"},{"key":"S0129065720500094BIB032","doi-asserted-by":"publisher","DOI":"10.1111\/psyp.12664"},{"key":"S0129065720500094BIB033","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2013.03.026"},{"key":"S0129065720500094BIB034","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"issue":"1","key":"S0129065720500094BIB035","first-page":"145","volume":"13","author":"Han H.","year":"2014","journal-title":"Cancer Inform."},{"key":"S0129065720500094BIB036","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2011.08.978"},{"key":"S0129065720500094BIB037","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.398"},{"key":"S0129065720500094BIB038","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_13"},{"key":"S0129065720500094BIB039","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2011.09.007"},{"key":"S0129065720500094BIB040","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00391"},{"key":"S0129065720500094BIB041","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"S0129065720500094BIB042","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2859836"},{"issue":"4","key":"S0129065720500094BIB043","first-page":"713","volume":"43","author":"Zhang Q.","year":"2014","journal-title":"J. China Univ. Min Technol."},{"key":"S0129065720500094BIB044","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2863198"},{"key":"S0129065720500094BIB045","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2017.11.032"},{"key":"S0129065720500094BIB046","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab386d"},{"issue":"3","key":"S0129065720500094BIB047","first-page":"415","volume":"48","author":"Ma Z.","year":"2008","journal-title":"J. Tsinghua Univ. (Sci. Technol.)"},{"key":"S0129065720500094BIB048","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065715500112"},{"key":"S0129065720500094BIB049","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/10\/2\/026001"},{"key":"S0129065720500094BIB050","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2009.06.026"},{"key":"S0129065720500094BIB051","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065715500392"},{"key":"S0129065720500094BIB052","doi-asserted-by":"publisher","DOI":"10.1007\/s11571-016-9382-4"},{"key":"S0129065720500094BIB053","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/4\/2\/R01"},{"key":"S0129065720500094BIB054","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2018.02.061"},{"volume-title":"Pattern Recognition","year":"2000","author":"Bian Z.","key":"S0129065720500094BIB055"},{"key":"S0129065720500094BIB056","doi-asserted-by":"publisher","DOI":"10.1016\/S0301-0511(03)00073-5"},{"key":"S0129065720500094BIB057","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2019.1620238"},{"key":"S0129065720500094BIB058","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-15373-x"},{"key":"S0129065720500094BIB059","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2003.814799"},{"key":"S0129065720500094BIB061","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2009.2015197"},{"key":"S0129065720500094BIB062","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2009.2022557"},{"key":"S0129065720500094BIB063","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2082539"},{"key":"S0129065720500094BIB064","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.05.012"},{"key":"S0129065720500094BIB065","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0102504"},{"key":"S0129065720500094BIB066","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065716500106"},{"key":"S0129065720500094BIB067","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-72926-8_16"},{"key":"S0129065720500094BIB068","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00430"},{"key":"S0129065720500094BIB069","doi-asserted-by":"publisher","DOI":"10.1177\/1550059419842707"},{"key":"S0129065720500094BIB070","doi-asserted-by":"publisher","DOI":"10.1016\/j.bandc.2019.02.001"},{"key":"S0129065720500094BIB071","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2018.04.075"},{"key":"S0129065720500094BIB072","doi-asserted-by":"publisher","DOI":"10.1063\/1.5018824"},{"key":"S0129065720500094BIB073","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065718500570"},{"key":"S0129065720500094BIB074","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2919143"},{"key":"S0129065720500094BIB075","doi-asserted-by":"publisher","DOI":"10.1016\/S1388-2457(00)00418-1"},{"key":"S0129065720500094BIB076","doi-asserted-by":"publisher","DOI":"10.1016\/j.yebeh.2014.10.001"},{"key":"S0129065720500094BIB077","doi-asserted-by":"publisher","DOI":"10.1177\/1550059413480504"},{"key":"S0129065720500094BIB078","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-2010-0345"},{"key":"S0129065720500094BIB079","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065717500058"},{"key":"S0129065720500094BIB080","doi-asserted-by":"publisher","DOI":"10.1142\/S012906571850003X"},{"key":"S0129065720500094BIB081","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-1031-5"},{"key":"S0129065720500094BIB082","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-015-0353-9"},{"key":"S0129065720500094BIB083","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2682102"},{"key":"S0129065720500094BIB084","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065719500023"}],"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065720500094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T05:03:07Z","timestamp":1583125387000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065720500094"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,18]]},"references-count":83,"journal-issue":{"issue":"03","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["10.1142\/S0129065720500094"],"URL":"https:\/\/doi.org\/10.1142\/s0129065720500094","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"type":"print","value":"0129-0657"},{"type":"electronic","value":"1793-6462"}],"subject":[],"published":{"date-parts":[[2020,2,18]]}}}