{"id":"https://openalex.org/W2997217503","doi":"https://doi.org/10.1109/tsc.2019.2962673","title":"Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization","display_name":"Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization","publication_year":2019,"publication_date":"2019-12-27","ids":{"openalex":"https://openalex.org/W2997217503","doi":"https://doi.org/10.1109/tsc.2019.2962673","mag":"2997217503"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2019.2962673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2019.2962673","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Services Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076368718","display_name":"Hengjin Ke","orcid":"https://orcid.org/0000-0003-3571-0005"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengjin Ke","raw_affiliation_strings":["Institute of Artificial Intelligence and National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444003","display_name":"Dan Chen","orcid":"https://orcid.org/0000-0002-7055-141X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048137853","display_name":"Benyun Shi","orcid":"https://orcid.org/0000-0003-2734-3794"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benyun Shi","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752772","display_name":"Jindong Zhang","orcid":"https://orcid.org/0000-0001-6464-6431"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindong Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence and National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110969049","display_name":"Xianzeng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210124809","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124809"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianzeng Liu","raw_affiliation_strings":["Department of Neurology, Peking University People's Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Neurology, Peking University People's Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210124809","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380942","display_name":"Xinhua Zhang","orcid":"https://orcid.org/0000-0003-4963-7443"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210124809","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124809"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Zhang","raw_affiliation_strings":["Department of Neurology, Peking University People's Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Neurology, Peking University People's Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210124809","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418692","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0003-1359-5130"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Li","raw_affiliation_strings":["National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, P. R. China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5076368718"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":4.0844,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.94658501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"4","first_page":"696","last_page":"708"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8082196712493896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7846070528030396},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.674387514591217},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.649876594543457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6291642189025879},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4517988860607147},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45000317692756653},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4440552294254303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43139657378196716},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4100210666656494},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12461334466934204},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.10718798637390137}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8082196712493896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846070528030396},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.674387514591217},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.649876594543457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291642189025879},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4517988860607147},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45000317692756653},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4440552294254303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43139657378196716},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4100210666656494},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12461334466934204},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.10718798637390137}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2019.2962673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2019.2962673","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1954675122","display_name":null,"funder_award_id":"61977027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2301403321","display_name":null,"funder_award_id":"61772380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5300120560","display_name":null,"funder_award_id":"2017CFA007","funder_id":"https://openalex.org/F4320327654","funder_display_name":"Foundation for Innovative Research Groups of Hubei Province 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/F4320327654","display_name":"Foundation for Innovative Research Groups of Hubei Province of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1725493522","https://openalex.org/W1897123318","https://openalex.org/W1932847118","https://openalex.org/W2002670936","https://openalex.org/W2009902427","https://openalex.org/W2051799084","https://openalex.org/W2097998348","https://openalex.org/W2098477387","https://openalex.org/W2142875089","https://openalex.org/W2170912685","https://openalex.org/W2182594827","https://openalex.org/W2192203593","https://openalex.org/W2194775991","https://openalex.org/W2344750957","https://openalex.org/W2416029023","https://openalex.org/W2487348337","https://openalex.org/W2497816424","https://openalex.org/W2527629189","https://openalex.org/W2557419338","https://openalex.org/W2564914932","https://openalex.org/W2567804583","https://openalex.org/W2584523198","https://openalex.org/W2598673810","https://openalex.org/W2625088583","https://openalex.org/W2772089072","https://openalex.org/W2772147448","https://openalex.org/W2774270830","https://openalex.org/W2779054585","https://openalex.org/W2790567680","https://openalex.org/W2791222159","https://openalex.org/W2795547044","https://openalex.org/W2808422915","https://openalex.org/W2888986465","https://openalex.org/W2891805877","https://openalex.org/W2901051931","https://openalex.org/W2963703618","https://openalex.org/W2963821229","https://openalex.org/W2966042949","https://openalex.org/W3100245404","https://openalex.org/W6651463820","https://openalex.org/W6674385629","https://openalex.org/W6674855086","https://openalex.org/W6743446608","https://openalex.org/W6746582238"],"related_works":["https://openalex.org/W4233965824","https://openalex.org/W2607442583","https://openalex.org/W3199199693","https://openalex.org/W4206951940","https://openalex.org/W4286970057","https://openalex.org/W4293868382","https://openalex.org/W2967237190","https://openalex.org/W4382602594","https://openalex.org/W3028852288","https://openalex.org/W4323366554"],"abstract_inverted_index":{"Online":[0],"electroencephalograph":[1],"(EEG)":[2],"classification":[3,167],"is":[4],"a":[5,70,119,126,180],"core":[6],"service":[7],"of":[8,35,75,80,101],"recently":[9],"booming":[10],"brain":[11,33],"e-health,":[12],"but":[13],"its":[14,89,93],"performance":[15,77,128],"often":[16],"becomes":[17],"unstable":[18],"because":[19],"(1)":[20,109],"conventional":[21,120],"end-to-end":[22],"models":[23],"(e.g.,":[24],"deep":[25],"neural":[26,73],"network,":[27],"DNN)":[28],"largely":[29],"remain":[30],"static,":[31],"while":[32],"states":[34],"diseases":[36],"are":[37,48,158],"highly":[38],"dynamic":[39],"and":[40,44,51,83,132,143,149,153,161,165],"exhibits":[41],"significant":[42,127],"individuality;":[43],"(2)":[45,122],"EEG":[46,105,176],"analytics":[47],"too":[49],"complicated":[50],"have":[52],"to":[53,68,146],"be":[54,169],"sustained":[55],"by":[56],"advanced":[57],"computing":[58],"services.":[59],"This":[60],"study":[61],"adopts":[62],"an":[63],"automatic":[64],"machine":[65],"learning":[66],"method":[67,112],"construct":[69],"dual-CNN":[71,124],"(convolutional":[72],"network)":[74],"high":[76],"in":[78,98,134],"terms":[79],"both":[81],"accuracy":[82],"efficiency.":[84],"The":[85],"model":[86],"can":[87,168],"optimize":[88],"hyperparameters":[90],"continuously":[91],"on":[92],"own":[94],"initiative.":[95],"Experimental":[96],"results":[97],"the":[99,110,123],"evaluation":[100],"depression":[102],"using":[103],"real":[104],"datasets":[106],"indicate":[107],"that":[108],"proposed":[111],"executes":[113],"3.5":[114],"times":[115,173],"faster":[116,174],"compared":[117],"with":[118,140],"counterpart;":[121],"gains":[125],"improvement":[129],"(versus":[130],"CapsuleNet":[131],"Resnet-16)":[133],"identifying":[135],"Major":[136],"Depression":[137],"Disorder":[138],"(MDD)":[139],"accuracy,":[141],"sensitivity,":[142],"specificity":[144],"up":[145],"98.81,":[147],"98.36,":[148],"99.31":[150],"percent":[151,163],"respectively;":[152],"those":[154],"for":[155],"treatment":[156],"outcome":[157],"99.52,":[159],"99.63,":[160],"99.37":[162],"respectively,":[164],"(3)":[166],"completed":[170],"several":[171],"hundred":[172],"than":[175],"being":[177],"collected":[178],"upon":[179],"COTS":[181],"computer.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}