{"id":"https://openalex.org/W3047749755","doi":"https://doi.org/10.3389/fninf.2020.00029","title":"Sparse Logistic Regression With L1/2 Penalty for Emotion Recognition in Electroencephalography Classification","display_name":"Sparse Logistic Regression With L1/2 Penalty for Emotion Recognition in Electroencephalography Classification","publication_year":2020,"publication_date":"2020-08-07","ids":{"openalex":"https://openalex.org/W3047749755","doi":"https://doi.org/10.3389/fninf.2020.00029","mag":"3047749755","pmid":"https://pubmed.ncbi.nlm.nih.gov/32848688","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7427509"},"language":"en","primary_location":{"id":"doi:10.3389/fninf.2020.00029","doi":"https://doi.org/10.3389/fninf.2020.00029","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fninf.2020.00029","pdf_url":"https://www.frontiersin.org/articles/10.3389/fninf.2020.00029/pdf","source":{"id":"https://openalex.org/S179816892","display_name":"Frontiers in Neuroinformatics","issn_l":"1662-5196","issn":["1662-5196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neuroinformatics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fninf.2020.00029/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101560864","display_name":"Dongwei Chen","orcid":"https://orcid.org/0000-0003-1956-7683","observed_orcids":["https://orcid.org/0000-0003-1956-7683"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong-Wei Chen","raw_affiliation_strings":["School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103104886","display_name":"Rui Miao","orcid":"https://orcid.org/0000-0001-5292-4377","observed_orcids":["https://orcid.org/0000-0001-5292-4377"]},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Rui Miao","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026151478","display_name":"Zhaoyong Deng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao-Yong Deng","raw_affiliation_strings":["School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101189114","display_name":"Yueyue Lu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue-Yue Lu","raw_affiliation_strings":["School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083841358","display_name":"Yong Qi Liang","orcid":"https://orcid.org/0000-0002-2858-2810","observed_orcids":["https://orcid.org/0000-0002-2858-2810"]},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yong Liang","raw_affiliation_strings":["State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070754234","display_name":"Lan Huang","orcid":"https://orcid.org/0000-0002-3140-4687","observed_orcids":["https://orcid.org/0000-0002-3140-4687"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lan Huang","raw_affiliation_strings":["School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070754234"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":1.075,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.73515875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":null,"first_page":"29","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.5551999807357788,"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":0.5551999807357788,"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":0.25679999589920044,"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/T10136","display_name":"Statistical Methods and Inference","score":0.041099999099969864,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eeg-based-emotion-recognition","display_name":"EEG-based emotion recognition","score":0.9729999899864197},{"id":"https://openalex.org/keywords/sparse-logistic-regression","display_name":"sparse logistic regression","score":0.9340000152587891},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.6899999976158142},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"coordinate descent","score":0.7350000143051147},{"id":"https://openalex.org/keywords/brain-computer-interface","display_name":"brain-computer interface","score":0.7889999747276306},{"id":"https://openalex.org/keywords/high-dimensional-low-sample-size-data","display_name":"high-dimensional small-sample data","score":0.8640000224113464},{"id":"https://openalex.org/keywords/eeg-classification","display_name":"EEG classification","score":0.5339999794960022}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7401239275932312},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7348346710205078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770541667938232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003578901290894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5820382237434387},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5775333046913147},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.5632053017616272},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.482927531003952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3827119767665863},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1128290593624115},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fninf.2020.00029","doi":"https://doi.org/10.3389/fninf.2020.00029","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fninf.2020.00029","pdf_url":"https://www.frontiersin.org/articles/10.3389/fninf.2020.00029/pdf","source":{"id":"https://openalex.org/S179816892","display_name":"Frontiers in Neuroinformatics","issn_l":"1662-5196","issn":["1662-5196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neuroinformatics","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7427509","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7427509","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Front Neuroinform","raw_type":"Text"},{"id":"pmid:32848688","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32848688","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,"listed_in":[],"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":"Frontiers in neuroinformatics","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:8ab598d41cbc4f86b6c3d1666e68432b","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/8ab598d41cbc4f86b6c3d1666e68432b","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,"listed_in":[],"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":"Frontiers in Neuroinformatics, Vol 14 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fninf.2020.00029","doi":"https://doi.org/10.3389/fninf.2020.00029","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fninf.2020.00029","pdf_url":"https://www.frontiersin.org/articles/10.3389/fninf.2020.00029/pdf","source":{"id":"https://openalex.org/S179816892","display_name":"Frontiers in Neuroinformatics","issn_l":"1662-5196","issn":["1662-5196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neuroinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323292","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3047749755.pdf","grobid_xml":"https://content.openalex.org/works/W3047749755.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1947251450","https://openalex.org/W1980405727","https://openalex.org/W1990100008","https://openalex.org/W2001725812","https://openalex.org/W2002055708","https://openalex.org/W2005791255","https://openalex.org/W2017335671","https://openalex.org/W2018255931","https://openalex.org/W2021970732","https://openalex.org/W2024311320","https://openalex.org/W2032254851","https://openalex.org/W2036498800","https://openalex.org/W2041891835","https://openalex.org/W2045185094","https://openalex.org/W2049222570","https://openalex.org/W2056201402","https://openalex.org/W2056636001","https://openalex.org/W2061463569","https://openalex.org/W2068049759","https://openalex.org/W2081700482","https://openalex.org/W2094089229","https://openalex.org/W2100471394","https://openalex.org/W2106006415","https://openalex.org/W2109773980","https://openalex.org/W2122825543","https://openalex.org/W2131174347","https://openalex.org/W2132889650","https://openalex.org/W2135046866","https://openalex.org/W2136380442","https://openalex.org/W2143350951","https://openalex.org/W2145302786","https://openalex.org/W2158822377","https://openalex.org/W2247338144","https://openalex.org/W2346848267","https://openalex.org/W2509948470","https://openalex.org/W2540507509","https://openalex.org/W2772551569","https://openalex.org/W2792304146","https://openalex.org/W2811235198","https://openalex.org/W2898884875","https://openalex.org/W2913789442","https://openalex.org/W2932154953","https://openalex.org/W2963953338","https://openalex.org/W2964564532","https://openalex.org/W3195149063","https://openalex.org/W4294541781","https://openalex.org/W6748028658"],"related_works":["https://openalex.org/W2801423304","https://openalex.org/W3172482233","https://openalex.org/W2525190350","https://openalex.org/W3009079392","https://openalex.org/W7065375530","https://openalex.org/W2797419573","https://openalex.org/W3003873167","https://openalex.org/W4226069122","https://openalex.org/W2976991423","https://openalex.org/W4360956568"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,257],"based":[2],"on":[3,175],"electroencephalography":[4],"(EEG)":[5],"signals":[6],"is":[7,20,36,81,120,185,220,251],"a":[8,101,157,162],"current":[9],"focus":[10],"in":[11,71,146,258],"brain-computer":[12],"interface":[13],"research.":[14],"However,":[15],"the":[16,24,52,65,76,143,203,248],"classification":[17,200,260],"of":[18,27,32,51,121],"EEG":[19,56,72,152,217,226],"difficult":[21],"owing":[22],"to":[23,38,41,112,133,166,232],"large":[25],"amounts":[26],"data":[28,179],"and":[29,67,84,129,155,161,177,207,228,236],"high":[30],"levels":[31],"noise.":[33],"Therefore,":[34,240],"it":[35,108],"important":[37,47,62,222],"determine":[39],"how":[40],"effectively":[42,60],"extract":[43,61],"features":[44,63],"that":[45,107,181,243],"include":[46],"information.":[48],"Regularization,":[49],"one":[50],"effective":[53,253],"methods":[54],"for":[55,150,223,255],"signal":[57,66],"processing,":[58],"can":[59,109,229],"from":[64],"has":[68,100,130],"potential":[69],"applications":[70],"emotion":[73,153,256],"recognition.":[74],"Currently,":[75],"most":[77],"popular":[78],"regularization":[79,94,99,119,190,210],"technique":[80,254],"Lasso":[82],"(L_1)":[83],"L2.":[85],"In":[86,96,138],"recent":[87],"years,":[88],"researchers":[89,231],"have":[90,134],"proposed":[91,183],"many":[92,135],"other":[93,188],"terms.":[95],"theory,":[97],"Lq-type":[98],"lower":[102],"$q$":[103],"value,":[104],"which":[105],"means":[106],"be":[110],"used":[111,156],"find":[113],"solutions":[114],"with":[115,195,247],"better":[116,186],"sparsity.":[117],"L1/2":[118,168,196,249],"L_q":[122],"type":[123],"(0":[124],"<":[125,127],"q":[126],"1)":[128],"been":[131],"shown":[132],"attractive":[136],"properties.":[137],"this":[139],"work,":[140],"we":[141,241],"studied":[142],"L_1/2":[144],"penalty":[145,169,197,250],"sparse":[147,244],"logistic":[148,170,193,245],"regression":[149,194,246],"three-classification":[151],"recognition,":[154],"coordinate":[158],"descent":[159],"algorithm":[160],"univariate":[163],"semi-threshold":[164],"operator":[165],"implement":[167],"regression.":[171],"The":[172],"experimental":[173],"results":[174],"simulation":[176],"real":[178],"demonstrate":[180],"our":[182],"method":[184],"than":[187,202],"existing":[189],"methods.":[191],"Sparse":[192],"achieves":[198],"higher":[199],"accuracy":[201],"conventional":[204],"L1,":[205],"L2,":[206],"elastic":[208],"network":[209],"methods,":[211],"using":[212],"fewer":[213],"but":[214],"more":[215],"informative":[216],"signals.":[218],"This":[219],"very":[221],"high-dimensional":[224],"small-sample":[225],"data,":[227],"help":[230],"reduce":[233],"computational":[234,238],"complexity":[235],"improve":[237],"accuracy.":[239],"propose":[242],"an":[252],"practical":[259],"problems.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2020-08-13T00:00:00"}