{"id":"https://openalex.org/W4366821940","doi":"https://doi.org/10.1109/tbme.2023.3246599","title":"Correntropy-Based Logistic Regression With Automatic Relevance Determination for Robust Sparse Brain Activity Decoding","display_name":"Correntropy-Based Logistic Regression With Automatic Relevance Determination for Robust Sparse Brain Activity Decoding","publication_year":2023,"publication_date":"2023-04-24","ids":{"openalex":"https://openalex.org/W4366821940","doi":"https://doi.org/10.1109/tbme.2023.3246599","pmid":"https://pubmed.ncbi.nlm.nih.gov/37093731"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2023.3246599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2023.3246599","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100631362","display_name":"Yuanhao Li","orcid":"https://orcid.org/0000-0002-6938-5012"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuanhao Li","raw_affiliation_strings":["Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6938-5012","affiliations":[{"raw_affiliation_string":"Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0003-1710-3818","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033485997","display_name":"Yuxi Shi","orcid":"https://orcid.org/0000-0003-4136-0822"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuxi Shi","raw_affiliation_strings":["Institute of Innovative Research, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Innovative Research, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071286340","display_name":"Natsue Yoshimura","orcid":"https://orcid.org/0000-0002-7495-9113"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Natsue Yoshimura","raw_affiliation_strings":["Institute of Innovative Research, Tokyo Institute of Technology, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7495-9113","affiliations":[{"raw_affiliation_string":"Institute of Innovative Research, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055913048","display_name":"Yasuharu Koike","orcid":"https://orcid.org/0000-0002-8169-0044"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuharu Koike","raw_affiliation_strings":["Institute of Innovative Research, Tokyo Institute of Technology, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8169-0044","affiliations":[{"raw_affiliation_string":"Institute of Innovative Research, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100631362"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":1.3719,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79477741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"70","issue":"8","first_page":"2416","last_page":"2429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9702000021934509,"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":0.9702000021934509,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.010599999688565731,"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":0.005200000014156103,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7273054718971252},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6448993682861328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6030365824699402},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5973743796348572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5791803002357483},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5216051340103149},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5188356637954712},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.44023096561431885},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.4257497787475586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3468080759048462},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2983681857585907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2103731334209442},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18576449155807495}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7273054718971252},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6448993682861328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6030365824699402},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5973743796348572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791803002357483},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5216051340103149},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5188356637954712},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.44023096561431885},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.4257497787475586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3468080759048462},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2983681857585907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2103731334209442},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18576449155807495},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","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":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","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},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2023.3246599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2023.3246599","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:37093731","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37093731","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":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G525149751","display_name":null,"funder_award_id":"61976175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5268817677","display_name":null,"funder_award_id":"U21A20485","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6169173256","display_name":null,"funder_award_id":"19H05728","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W54422097","https://openalex.org/W1559158193","https://openalex.org/W1903303072","https://openalex.org/W1986585136","https://openalex.org/W1993405482","https://openalex.org/W2004915807","https://openalex.org/W2023182532","https://openalex.org/W2024220357","https://openalex.org/W2034841618","https://openalex.org/W2036084760","https://openalex.org/W2037813632","https://openalex.org/W2041853331","https://openalex.org/W2045185094","https://openalex.org/W2052059892","https://openalex.org/W2053158561","https://openalex.org/W2060919139","https://openalex.org/W2069594387","https://openalex.org/W2073829263","https://openalex.org/W2088622335","https://openalex.org/W2097267381","https://openalex.org/W2101036104","https://openalex.org/W2106006415","https://openalex.org/W2108840547","https://openalex.org/W2113713615","https://openalex.org/W2123923307","https://openalex.org/W2135046866","https://openalex.org/W2135160607","https://openalex.org/W2137823674","https://openalex.org/W2137911812","https://openalex.org/W2144049326","https://openalex.org/W2146571341","https://openalex.org/W2158485497","https://openalex.org/W2170821486","https://openalex.org/W2171980229","https://openalex.org/W2225156818","https://openalex.org/W2341934844","https://openalex.org/W2345444873","https://openalex.org/W2398338688","https://openalex.org/W2512138671","https://openalex.org/W2567611697","https://openalex.org/W2772070950","https://openalex.org/W2781482711","https://openalex.org/W2799995473","https://openalex.org/W2911546748","https://openalex.org/W2924079966","https://openalex.org/W2949064394","https://openalex.org/W2963341661","https://openalex.org/W3041045223","https://openalex.org/W3093527683","https://openalex.org/W3190145833","https://openalex.org/W4230367971","https://openalex.org/W4232944527","https://openalex.org/W4288334315","https://openalex.org/W4301003819","https://openalex.org/W6602193115","https://openalex.org/W6639612093","https://openalex.org/W6680344438","https://openalex.org/W6684942582","https://openalex.org/W6747522841","https://openalex.org/W6763427118"],"related_works":["https://openalex.org/W2384527366","https://openalex.org/W2285494230","https://openalex.org/W31220157","https://openalex.org/W1989621828","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W3083147128","https://openalex.org/W4236479416","https://openalex.org/W2165884543"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Recent":[1],"studies":[2],"have":[3],"used":[4],"sparse":[5,35,69,91,99,198],"classifications":[6],"to":[7,16,42,63,190,194],"predict":[8],"categorical":[9],"variables":[10],"from":[11],"high-dimensional":[12,155],"brain":[13,55,107,199,212],"activity":[14,108,213],"signals":[15],"expose":[17],"human's":[18],"mental":[19],"states":[20],"and":[21,68,126,154,215],"intentions,":[22],"selecting":[23],"the":[24,29,43,50,54,81,86,105,112,143,168,173,178,186,191,210,216],"relevant":[25],"features":[26,166],"automatically":[27],"in":[28,53,72,151,209],"model":[30],"training":[31],"process.":[32],"However,":[33],"existing":[34],"classification":[36,70,92,149,156],"models":[37],"will":[38,183],"likely":[39],"be":[40],"prone":[41],"performance":[44,110],"degradation":[45],"which":[46],"is":[47],"caused":[48],"by":[49],"noise":[51],"inherent":[52],"recordings.":[56],"To":[57,76,103],"address":[58],"this":[59,73,77],"issue,":[60],"we":[61,79,115],"aim":[62],"propose":[64],"a":[65,95,119,127,152,205],"new":[66,96],"robust":[67,98,197],"algorithm":[71],"study.":[74],"METHODS:":[75],"end,":[78],"introduce":[80],"correntropy":[82,174],"learning":[83,175],"framework":[84],"into":[85],"automatic":[87,179],"relevance":[88,180],"determination":[89,181],"based":[90],"model,":[93],"proposing":[94],"correntropy-based":[97],"logistic":[100],"regression":[101],"algorithm.":[102,201],"demonstrate":[104],"superior":[106],"decoding":[109,169,200,214],"of":[111],"proposed":[113,144],"algorithm,":[114],"evaluate":[116],"it":[117,160],"on":[118],"synthetic":[120],"dataset,":[121,125],"an":[122],"electroencephalogram":[123],"(EEG)":[124],"functional":[128],"magnetic":[129],"resonance":[130],"imaging":[131],"(fMRI)":[132],"dataset.":[133],"RESULTS:":[134],"The":[135],"extensive":[136],"experimental":[137],"results":[138],"confirm":[139],"that":[140],"not":[141],"only":[142],"method":[145],"can":[146],"achieve":[147],"higher":[148],"accuracy":[150],"noisy":[153],"task,":[157],"but":[158],"also":[159],"would":[161],"select":[162],"those":[163],"more":[164,195,206],"informative":[165],"for":[167],"tasks.":[170],"CONCLUSION:":[171],"Integrating":[172],"approach":[176,208],"with":[177,188],"technique":[182],"significantly":[184],"improve":[185],"robustness":[187],"respect":[189],"noise,":[192],"leading":[193],"adequate":[196],"SIGNIFICANCE:":[202],"It":[203],"provides":[204],"powerful":[207],"real-world":[211],"brain-computer":[217],"interfaces.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}