{"id":"https://openalex.org/W3128898807","doi":"https://doi.org/10.3390/s21041262","title":"Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition","display_name":"Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition","publication_year":2021,"publication_date":"2021-02-10","ids":{"openalex":"https://openalex.org/W3128898807","doi":"https://doi.org/10.3390/s21041262","mag":"3128898807","pmid":"https://pubmed.ncbi.nlm.nih.gov/33578835"},"language":"en","primary_location":{"id":"doi:10.3390/s21041262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21041262","pdf_url":"https://www.mdpi.com/1424-8220/21/4/1262/pdf?version=1614044021","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/4/1262/pdf?version=1614044021","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077286943","display_name":"Fangyao Shen","orcid":"https://orcid.org/0000-0003-3130-1140"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyao Shen","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056881797","display_name":"Yong Peng","orcid":"https://orcid.org/0000-0003-1208-972X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]},{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Peng","raw_affiliation_strings":["MoE Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Anhui Polytechnic University, Wuhu 241000, China","School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0003-1208-972X","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Anhui Polytechnic University, Wuhu 241000, China","institution_ids":["https://openalex.org/I70908550"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003649465","display_name":"Wanzeng Kong","orcid":"https://orcid.org/0000-0002-0113-6968"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzeng Kong","raw_affiliation_strings":["Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou 310018, China","School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-0113-6968","affiliations":[{"raw_affiliation_string":"Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou 310018, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075312748","display_name":"Guojun Dai","orcid":"https://orcid.org/0000-0002-1572-3450"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guojun Dai","raw_affiliation_strings":["Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou 310018, China","School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou 310018, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075312748"],"corresponding_institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I50760025"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.8238,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91068363,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"21","issue":"4","first_page":"1262","last_page":"1262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.713089108467102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585572957992554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6203033924102783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6053748726844788},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5932247638702393},{"id":"https://openalex.org/keywords/radio-spectrum","display_name":"Radio spectrum","score":0.5560735464096069},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.518279492855072},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.517663300037384},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.513354480266571},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4972672760486603},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44489210844039917},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4339006543159485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3608173727989197},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09177368879318237}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.713089108467102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585572957992554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6203033924102783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6053748726844788},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5932247638702393},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.5560735464096069},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.518279492855072},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.517663300037384},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.513354480266571},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4972672760486603},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44489210844039917},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4339006543159485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3608173727989197},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09177368879318237},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21041262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21041262","pdf_url":"https://www.mdpi.com/1424-8220/21/4/1262/pdf?version=1614044021","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33578835","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33578835","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7916620","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7916620","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a2efb22aab744d95936132a1e7f7a567","is_oa":true,"landing_page_url":"https://doaj.org/article/a2efb22aab744d95936132a1e7f7a567","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 4, p 1262 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/4/1262/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21041262","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 21; Issue 4; Pages: 1262","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21041262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21041262","pdf_url":"https://www.mdpi.com/1424-8220/21/4/1262/pdf?version=1614044021","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1050857325","display_name":null,"funder_award_id":"U1909202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1136559603","display_name":null,"funder_award_id":"2017YFE0116800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1926699777","display_name":null,"funder_award_id":"LY21F030005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3372851421","display_name":null,"funder_award_id":"2018C04012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3474571101","display_name":"\u9762\u5411\u8de8\u88ab\u8bd5\u4e0e\u8de8\u65f6\u6bb5\u8111\u7535\u60c5\u611f\u8bc6\u522b\u7684\u77e5\u8bc6\u8fc1\u79fb\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3990346214","display_name":null,"funder_award_id":"2017YFE0118200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4912150717","display_name":null,"funder_award_id":"GK209907299001-008","funder_id":"https://openalex.org/F4554350417","funder_display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang"},{"id":"https://openalex.org/G542653801","display_name":null,"funder_award_id":"2017YFE0116800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5662423528","display_name":"\u4efb\u52a1\u65e0\u5173\u8111\u7eb9\u8bc6\u522b\u7684\u82e5\u5e72\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61671193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5814600031","display_name":null,"funder_award_id":"2018C04012","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G7620745380","display_name":null,"funder_award_id":"2017YFE0118200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328637","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null},{"id":"https://openalex.org/F4554350417","display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3128898807.pdf","grobid_xml":"https://content.openalex.org/works/W3128898807.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W69300324","https://openalex.org/W1534477342","https://openalex.org/W1565746575","https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W1974758710","https://openalex.org/W1996202672","https://openalex.org/W2002055708","https://openalex.org/W2002565627","https://openalex.org/W2019771222","https://openalex.org/W2031390949","https://openalex.org/W2032254851","https://openalex.org/W2038610431","https://openalex.org/W2119073761","https://openalex.org/W2120070835","https://openalex.org/W2128541811","https://openalex.org/W2132467081","https://openalex.org/W2132889650","https://openalex.org/W2134050473","https://openalex.org/W2144004426","https://openalex.org/W2150732043","https://openalex.org/W2157401020","https://openalex.org/W2160410052","https://openalex.org/W2170883741","https://openalex.org/W2296319761","https://openalex.org/W2585528949","https://openalex.org/W2625929003","https://openalex.org/W2762143655","https://openalex.org/W2771280538","https://openalex.org/W2772766867","https://openalex.org/W2784257003","https://openalex.org/W2786768213","https://openalex.org/W2896297654","https://openalex.org/W2901337091","https://openalex.org/W2904251885","https://openalex.org/W2912668808","https://openalex.org/W2926366943","https://openalex.org/W2970601791","https://openalex.org/W2990947759","https://openalex.org/W3000369298","https://openalex.org/W3090070438","https://openalex.org/W3117672266","https://openalex.org/W4241727697","https://openalex.org/W4250589301","https://openalex.org/W4251262969","https://openalex.org/W6677870239","https://openalex.org/W6678776232","https://openalex.org/W6744621443","https://openalex.org/W6760844617"],"related_works":["https://openalex.org/W1550318927","https://openalex.org/W4305042383","https://openalex.org/W2546649374","https://openalex.org/W2773396412","https://openalex.org/W4380854332","https://openalex.org/W2184859701","https://openalex.org/W4380370144","https://openalex.org/W2009950829","https://openalex.org/W4386232293","https://openalex.org/W2382178633"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,16,46,98,220,240],"has":[2],"a":[3,33,86,120],"wide":[4],"range":[5],"of":[6,42,131,175,198,214],"potential":[7],"applications":[8],"in":[9],"the":[10,14,24,28,38,68,78,129,153,166,181,185,190,212,218,223,237,251,264],"real":[11],"world.":[12],"Among":[13],"emotion":[15,45,58,97,219,239],"data":[17,163,169,192],"sources,":[18],"electroencephalography":[19],"(EEG)":[20],"signals":[21],"can":[22,257],"record":[23],"neural":[25],"activities":[26],"across":[27],"human":[29],"brain,":[30],"providing":[31],"us":[32],"reliable":[34],"way":[35,61],"to":[36,95,146,150,235,247,261],"recognize":[37],"emotional":[39],"states.":[40],"Most":[41],"existing":[43],"EEG-based":[44],"studies":[47],"directly":[48,227],"concatenated":[49],"features":[50],"extracted":[51],"from":[52,99],"all":[53,64,106,132,229],"EEG":[54,100],"frequency":[55,65,89,107,215,230],"bands":[56,66,90,108,216,231],"for":[57,200],"classification.":[59],"This":[60],"assumes":[62],"that":[63,211,226],"share":[67],"same":[69],"importance":[70],"by":[71,134],"default;":[72],"however,":[73],"it":[74,194],"cannot":[75,232],"always":[76,233],"obtain":[77,236],"optimal":[79],"performance.":[80,154,241,265],"In":[81],"this":[82],"paper,":[83],"we":[84,103,118,127],"present":[85],"novel":[87],"multi-scale":[88],"ensemble":[91],"learning":[92,139,255],"(MSFBEL)":[93],"method":[94,140,157,256],"perform":[96],"signals.":[101],"Concretely,":[102],"first":[104],"re-organize":[105],"into":[109],"several":[110],"local":[111],"scales":[112,133,149,243],"and":[113,178,250],"one":[114],"global":[115,224],"scale.":[116,125],"Then":[117],"train":[119],"base":[121],"classifier":[122],"on":[123,160,180],"each":[124,248],"Finally":[126],"fuse":[128,259],"results":[130,209],"designing":[135],"an":[136],"adaptive":[137,253],"weight":[138,254],"which":[141],"automatically":[142],"assigns":[143],"larger":[144],"weights":[145],"more":[147],"important":[148],"further":[151,262],"improve":[152],"The":[155,207],"proposed":[156,252],"is":[158],"validated":[159],"two":[161],"public":[162],"sets.":[164],"For":[165,189],"\"SEED":[167],"IV\"":[168],"set,":[170,193],"MSFBEL":[171],"achieves":[172],"average":[173,196],"accuracies":[174],"82.75%,":[176],"87.87%,":[177],"78.27%":[179],"three":[182],"sessions":[183],"under":[184,203],"within-session":[186],"experimental":[187,208],"paradigm.":[188],"\"DEAP\"":[191],"obtains":[195],"accuracy":[197],"74.22%":[199],"four-category":[201],"classification":[202],"5-fold":[204],"cross":[205],"validation.":[206],"demonstrate":[210],"scale":[213,225],"influences":[217],"rate,":[221],"while":[222],"concatenating":[228],"guarantee":[234],"best":[238],"Different":[242],"provide":[244],"complementary":[245],"information":[246],"other,":[249],"effectively":[258],"them":[260],"enhance":[263]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":4}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}