{"id":"https://openalex.org/W3135670473","doi":"https://doi.org/10.7717/peerj-cs.374","title":"The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN","display_name":"The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN","publication_year":2021,"publication_date":"2021-03-02","ids":{"openalex":"https://openalex.org/W3135670473","doi":"https://doi.org/10.7717/peerj-cs.374","mag":"3135670473","pmid":"https://pubmed.ncbi.nlm.nih.gov/33817022"},"language":"en","primary_location":{"id":"doi:10.7717/peerj-cs.374","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.374","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.7717/peerj-cs.374","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003668423","display_name":"Mamunur Rashid","orcid":"https://orcid.org/0000-0003-4958-6041"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mamunur Rashid","raw_affiliation_strings":["Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021879917","display_name":"Bifta Sama Bari","orcid":"https://orcid.org/0000-0001-6102-1823"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Bifta Sama Bari","raw_affiliation_strings":["Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072845740","display_name":"Md Jahid Hasan","orcid":"https://orcid.org/0000-0001-8430-9416"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Md Jahid Hasan","raw_affiliation_strings":["Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia"],"affiliations":[{"raw_affiliation_string":"Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038352672","display_name":"Mohd Azraai Mohd Razman","orcid":"https://orcid.org/0000-0002-3045-2804"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Azraai Mohd Razman","raw_affiliation_strings":["Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia"],"affiliations":[{"raw_affiliation_string":"Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038514283","display_name":"Rabiu Muazu Musa","orcid":"https://orcid.org/0000-0001-5332-1770"},"institutions":[{"id":"https://openalex.org/I157696592","display_name":"Universiti Malaysia Terengganu","ror":"https://ror.org/02474f074","country_code":"MY","type":"education","lineage":["https://openalex.org/I157696592"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Rabiu Muazu Musa","raw_affiliation_strings":["Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia","institution_ids":["https://openalex.org/I157696592"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011996408","display_name":"Ahmad Fakhri Ab. Nasir","orcid":"https://orcid.org/0000-0002-8278-6451"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ahmad Fakhri Ab Nasir","raw_affiliation_strings":["Centre for Software Development & Integrated Computing, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Software Development & Integrated Computing, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]},{"raw_affiliation_string":"Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021226854","display_name":"Anwar P. P. Abdul Majeed","orcid":"https://orcid.org/0000-0002-3094-5596"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Anwar P.P. Abdul Majeed","raw_affiliation_strings":["Centre for Software Development & Integrated Computing, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Software Development & Integrated Computing, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]},{"raw_affiliation_string":"Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5003668423"],"corresponding_institution_ids":["https://openalex.org/I102913810"],"apc_list":{"value":1395,"currency":"USD","value_usd":1395},"apc_paid":{"value":1395,"currency":"USD","value_usd":1395},"fwci":4.5449,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.95503879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"e374","last_page":"e374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8508487939834595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6666349768638611},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6620509028434753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485130786895752},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6357904076576233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6199308633804321},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6150400042533875},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5988073945045471},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5809130668640137},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5554444193840027},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5547142624855042},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5194805860519409},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.491733580827713},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4861857295036316},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47713541984558105},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46009060740470886},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44379955530166626},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4285440146923065},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.42288535833358765},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.1010843813419342}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8508487939834595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666349768638611},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6620509028434753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485130786895752},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6357904076576233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6199308633804321},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6150400042533875},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5988073945045471},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5809130668640137},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5554444193840027},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5547142624855042},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5194805860519409},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.491733580827713},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4861857295036316},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47713541984558105},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46009060740470886},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44379955530166626},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4285440146923065},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.42288535833358765},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.1010843813419342},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.7717/peerj-cs.374","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.374","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},{"id":"pmid:33817022","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33817022","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ. Computer science","raw_type":null},{"id":"pmh:oai:doaj.org/article:dbcff2702718451b84c3cb4b1be4f39a","is_oa":true,"landing_page_url":"https://doaj.org/article/dbcff2702718451b84c3cb4b1be4f39a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PeerJ Computer Science, Vol 7, p e374 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7959631","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7959631","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PeerJ Comput Sci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.7717/peerj-cs.374","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.374","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7155610285","display_name":null,"funder_award_id":"RDU180321","funder_id":"https://openalex.org/F4320323310","funder_display_name":"Universiti Malaysia Pahang"}],"funders":[{"id":"https://openalex.org/F4320323310","display_name":"Universiti Malaysia Pahang","ror":"https://ror.org/01704wp68"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W1497310198","https://openalex.org/W1594031697","https://openalex.org/W2028124740","https://openalex.org/W2039590377","https://openalex.org/W2039975619","https://openalex.org/W2054220916","https://openalex.org/W2101629643","https://openalex.org/W2102819635","https://openalex.org/W2105271344","https://openalex.org/W2106006415","https://openalex.org/W2113242816","https://openalex.org/W2128909182","https://openalex.org/W2137340504","https://openalex.org/W2142280324","https://openalex.org/W2163756472","https://openalex.org/W2165892205","https://openalex.org/W2181164912","https://openalex.org/W2188934299","https://openalex.org/W2288494694","https://openalex.org/W2461423132","https://openalex.org/W2507528282","https://openalex.org/W2542065864","https://openalex.org/W2557301950","https://openalex.org/W2559036943","https://openalex.org/W2578579882","https://openalex.org/W2591868566","https://openalex.org/W2736583283","https://openalex.org/W2767333869","https://openalex.org/W2783339817","https://openalex.org/W2783844538","https://openalex.org/W2789950121","https://openalex.org/W2794345050","https://openalex.org/W2796435388","https://openalex.org/W2802324393","https://openalex.org/W2806431766","https://openalex.org/W2808098316","https://openalex.org/W2883540729","https://openalex.org/W2887868454","https://openalex.org/W2888874411","https://openalex.org/W2894424125","https://openalex.org/W2898291782","https://openalex.org/W2898720151","https://openalex.org/W2900786131","https://openalex.org/W2901655790","https://openalex.org/W2910261017","https://openalex.org/W2911969890","https://openalex.org/W2913246999","https://openalex.org/W2913374038","https://openalex.org/W2924079966","https://openalex.org/W2927212007","https://openalex.org/W2942801196","https://openalex.org/W2945001056","https://openalex.org/W2945994694","https://openalex.org/W2955714720","https://openalex.org/W2960585436","https://openalex.org/W2963283402","https://openalex.org/W2967286151","https://openalex.org/W2967744086","https://openalex.org/W2969513333","https://openalex.org/W2969848733","https://openalex.org/W2970707101","https://openalex.org/W2980522203","https://openalex.org/W2980874176","https://openalex.org/W2982130226","https://openalex.org/W2989658305","https://openalex.org/W2990199568","https://openalex.org/W2997129568","https://openalex.org/W2998852862","https://openalex.org/W3000463835","https://openalex.org/W3000565810","https://openalex.org/W3004430252","https://openalex.org/W3010360429","https://openalex.org/W3033186461","https://openalex.org/W3034845153","https://openalex.org/W3035824791","https://openalex.org/W3037633128","https://openalex.org/W3049464275","https://openalex.org/W3082143837","https://openalex.org/W3090993127","https://openalex.org/W3093172598","https://openalex.org/W4246552548","https://openalex.org/W6602605597","https://openalex.org/W6629875544","https://openalex.org/W6664034848","https://openalex.org/W6675233730","https://openalex.org/W6675797105","https://openalex.org/W6722967064","https://openalex.org/W6730068765","https://openalex.org/W6734263829","https://openalex.org/W6755854970","https://openalex.org/W6757819389","https://openalex.org/W6761583013","https://openalex.org/W6761817298","https://openalex.org/W6774310644"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W2052615004","https://openalex.org/W2046975922","https://openalex.org/W4361733484","https://openalex.org/W4256395896","https://openalex.org/W2057416691","https://openalex.org/W1760344465","https://openalex.org/W2770076983","https://openalex.org/W4205397888","https://openalex.org/W4388700830"],"abstract_inverted_index":{"Brain-computer":[0],"interface":[1],"(BCI)":[2],"is":[3,245],"a":[4,63],"viable":[5],"alternative":[6],"communication":[7],"strategy":[8],"for":[9,185,230,233,236,240],"patients":[10],"of":[11,19,27,34,111,128,179,288],"neurological":[12],"disorders":[13],"as":[14,42,44],"it":[15,244],"facilitates":[16],"the":[17,32,35,45,68,87,102,105,109,126,129,167,174,208,219,222,226,249,256,264,269,275,280,286],"translation":[18],"human":[20],"intent":[21],"into":[22],"device":[23],"commands.":[24],"The":[25,92,272],"performance":[26],"BCIs":[28],"primarily":[29],"depends":[30],"on":[31],"efficacy":[33,127],"feature":[36,39,55,115,251,265],"extraction":[37],"and":[38,108,156,183,189,207,238],"selection":[40,116,252],"techniques,":[41],"well":[43],"classification":[46,74,176,215],"algorithms":[47],"employed.":[48],"More":[49],"often":[50],"than":[51],"not,":[52],"high":[53],"dimensional":[54],"set":[56],"contains":[57],"redundant":[58],"features":[59,103],"that":[60,166,248,279],"may":[61,283],"degrade":[62],"given":[64],"classifier's":[65],"performance.":[66],"In":[67,122,211],"present":[69,257,276],"investigation,":[70],"an":[71,132],"ensemble":[72],"learning-based":[73],"algorithm,":[75],"namely":[76,196],"random":[77,112,169,203],"subspace":[78,170],"<i>k</i>-nearest":[79],"neighbour":[80],"(<i>k</i>-NN)":[81],"has":[82,97,118,135],"been":[83,98,120,136],"proposed":[84,130,223,281],"to":[85,100,124,261],"classify":[86],"motor":[88],"imagery":[89],"(MI)":[90],"data.":[91],"common":[93],"spatial":[94],"pattern":[95],"(CSP)":[96],"applied":[99],"extract":[101],"from":[104,274],"MI":[106,142,289],"response,":[107],"effectiveness":[110],"forest":[113],"(RF)-based":[114],"algorithm":[117],"also":[119],"investigated.":[121],"order":[123],"evaluate":[125],"method,":[131],"experimental":[133],"study":[134,258,277],"implemented":[137],"using":[138],"four":[139],"publicly":[140],"available":[141],"dataset":[143,147,150,153,160],"(BCI":[144],"Competition":[145,158],"III":[146],"1":[148],"(data-1),":[149],"IIIA":[151],"(data-2),":[152],"IVA":[154],"(data-3)":[155],"BCI":[157],"IV":[159],"II":[161],"(data-4)).":[162],"It":[163],"was":[164,259],"shown":[165],"ensemble-based":[168],"<i>k</i>-NN":[171],"approach":[172],"achieved":[173],"superior":[175],"accuracy":[177,227,287],"(CA)":[178],"99.21%,":[180],"93.19%,":[181],"93.57%":[182],"90.32%":[184],"data-1,":[186,231],"data-2,":[187,234],"data-3":[188,237],"data-4,":[190,241],"respectively":[191],"against":[192],"other":[193,214],"models":[194],"evaluated,":[195],"linear":[197],"discriminant":[198],"analysis,":[199],"support":[200],"vector":[201],"machine,":[202],"forest,":[204],"Na\u00efve":[205],"Bayes":[206],"conventional":[209],"<i>k</i>-NN.":[210],"comparison":[212],"with":[213],"approaches":[216],"reported":[217],"in":[218,255],"recent":[220],"studies,":[221],"method":[224,282],"enhanced":[225],"by":[228],"2.09%":[229],"1.29%":[232],"4.95%":[235],"5.71%":[239],"respectively.":[242],"Moreover,":[243],"worth":[246],"highlighting":[247],"RF":[250],"technique":[253],"employed":[254],"able":[260],"significantly":[262,284],"reduce":[263],"dimension":[266],"without":[267],"compromising":[268],"overall":[270],"CA.":[271],"outcome":[273],"implies":[278],"enhance":[285],"data":[290],"classification.":[291]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10}],"updated_date":"2025-11-25T14:43:58.451035","created_date":"2025-10-10T00:00:00"}
