{"id":"https://openalex.org/W4321608005","doi":"https://doi.org/10.1109/tim.2023.3248101","title":"Cross-Subject Seizure Detection by Joint-Probability-Discrepancy-Based Domain Adaptation","display_name":"Cross-Subject Seizure Detection by Joint-Probability-Discrepancy-Based Domain Adaptation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321608005","doi":"https://doi.org/10.1109/tim.2023.3248101"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3248101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3248101","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5011881007","display_name":"Xiaonan Cui","orcid":"https://orcid.org/0000-0003-2595-0451"},"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":true,"raw_author_name":"Xiaonan Cui","raw_affiliation_strings":["Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2595-0451","affiliations":[{"raw_affiliation_string":"Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075474564","display_name":"Tianlei Wang","orcid":"https://orcid.org/0000-0002-4498-4326"},"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":"Tianlei Wang","raw_affiliation_strings":["Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4498-4326","affiliations":[{"raw_affiliation_string":"Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002975495","display_name":"Xiaoping Lai","orcid":"https://orcid.org/0000-0002-5878-5563"},"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":"Xiaoping Lai","raw_affiliation_strings":["Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5878-5563","affiliations":[{"raw_affiliation_string":"Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058788603","display_name":"Tiejia Jiang","orcid":"https://orcid.org/0000-0003-3688-8366"},"institutions":[{"id":"https://openalex.org/I4210113495","display_name":"Children's Hospital of Zhejiang University","ror":"https://ror.org/025fyfd20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210113495"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejia Jiang","raw_affiliation_strings":["Department of Neurology, The Children&#x2019;s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3688-8366","affiliations":[{"raw_affiliation_string":"Department of Neurology, The Children&#x2019;s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China","institution_ids":["https://openalex.org/I4210113495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011995304","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0003-4907-7212"},"institutions":[{"id":"https://openalex.org/I4210113495","display_name":"Children's Hospital of Zhejiang University","ror":"https://ror.org/025fyfd20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210113495"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["Department of Neurology, The Children&#x2019;s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4907-7212","affiliations":[{"raw_affiliation_string":"Department of Neurology, The Children&#x2019;s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China","institution_ids":["https://openalex.org/I4210113495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074063024","display_name":"Jiuwen Cao","orcid":"https://orcid.org/0000-0002-6480-5794"},"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":"Jiuwen Cao","raw_affiliation_strings":["Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China","Research and Development Department, Hangzhou Neuro Science and Technology Company Ltd., Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6480-5794","affiliations":[{"raw_affiliation_string":"Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"Research and Development Department, Hangzhou Neuro Science and Technology Company Ltd., Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5011881007"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":1.8833,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84728064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7285699248313904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6823830008506775},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.620675265789032},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6200360655784607},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6049768328666687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5553963780403137},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5020947456359863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4856768846511841},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.4763636589050293},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4529229700565338},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4257318377494812},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33784645795822144},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15983420610427856},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15193253755569458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12948289513587952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285699248313904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6823830008506775},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.620675265789032},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6200360655784607},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6049768328666687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5553963780403137},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5020947456359863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4856768846511841},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.4763636589050293},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4529229700565338},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4257318377494812},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33784645795822144},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15983420610427856},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15193253755569458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12948289513587952},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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":1,"locations":[{"id":"doi:10.1109/tim.2023.3248101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3248101","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1327000608","display_name":null,"funder_award_id":"2021YFE0100100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2007197253","display_name":null,"funder_award_id":"LZ22F030002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7151297541","display_name":null,"funder_award_id":"U1909209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1588282782","https://openalex.org/W2039930961","https://openalex.org/W2052466231","https://openalex.org/W2054573701","https://openalex.org/W2057266281","https://openalex.org/W2062152791","https://openalex.org/W2073788174","https://openalex.org/W2096943734","https://openalex.org/W2100664256","https://openalex.org/W2104068492","https://openalex.org/W2115403315","https://openalex.org/W2129094939","https://openalex.org/W2165698076","https://openalex.org/W2616287544","https://openalex.org/W2750599140","https://openalex.org/W2800380319","https://openalex.org/W2801477643","https://openalex.org/W2810229480","https://openalex.org/W2883876833","https://openalex.org/W2884771968","https://openalex.org/W2889690008","https://openalex.org/W2894170005","https://openalex.org/W2934856817","https://openalex.org/W2955547856","https://openalex.org/W2963275094","https://openalex.org/W2979867157","https://openalex.org/W2996787432","https://openalex.org/W3005778357","https://openalex.org/W3013050153","https://openalex.org/W3042375331","https://openalex.org/W3081651508","https://openalex.org/W3083495197","https://openalex.org/W3090414386","https://openalex.org/W3103969290","https://openalex.org/W3135182665","https://openalex.org/W3150889630","https://openalex.org/W3165065619","https://openalex.org/W3194903594","https://openalex.org/W4205346155","https://openalex.org/W4210868295","https://openalex.org/W4212944856","https://openalex.org/W4221078089","https://openalex.org/W4285145762","https://openalex.org/W4285162718","https://openalex.org/W4292387244","https://openalex.org/W4309408902","https://openalex.org/W4312400158","https://openalex.org/W4312480640"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W2145868540","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W4287263085","https://openalex.org/W3186065094","https://openalex.org/W3204418343","https://openalex.org/W3093803318","https://openalex.org/W3095487414"],"abstract_inverted_index":{"Detection":[0],"of":[1,9,45,60,66,129,221,243],"epileptic":[2,16,88,205],"seizure":[3,17,89,206],"from":[4,35,52,109],"offline":[5],"electroencephalogram":[6],"(EEG)":[7],"is":[8,123,163,189,212],"great":[10],"significance":[11],"in":[12,42],"clinical":[13],"diagnosis.":[14],"Traditional":[15],"detection":[18,90,207,236],"methods":[19],"are":[20,33,134,142],"usually":[21],"based":[22,209],"on":[23,64,96,210,214],"the":[24,28,38,43,48,57,93,148,158,167,171,181,204,215,229,240],"basic":[25],"assumption":[26],"that":[27,133,179,228],"training":[29,145],"and":[30,56,140,185,200],"testing":[31],"data":[32,50,65],"sampled":[34],"datasets":[36],"with":[37,99,112,170,197],"same":[39],"distribution.":[40],"However,":[41],"context":[44],"epilepsy":[46],"diagnosis,":[47],"EEG":[49,101,131],"vary":[51],"subject":[53],"to":[54,73,91,125,165,191],"subject,":[55],"generalization":[58],"performance":[59,95],"a":[61,82,127,153,193],"classifier":[62,195],"trained":[63],"multiple":[67,110],"subjects":[68,98,111],"typically":[69],"degrades":[70],"when":[71],"applied":[72],"new":[74,97],"subjects.":[75],"To":[76],"address":[77],"this":[78],"issue,":[79],"we":[80],"propose":[81],"cross-subject":[83,235],"transfer":[84,138],"learning":[85,139],"framework":[86,208],"for":[87,137,147],"improve":[92],"classification":[94],"unlabeled":[100],"samples":[102,132,146],"(target":[103],"domain)":[104],"by":[105],"transferring":[106],"useful":[107],"information":[108],"labeled":[113],"EEGs":[114],"(source":[115],"domain).":[116],"In":[117],"detail,":[118],"first,":[119],"an":[120],"adversarial":[121],"strategy":[122],"used":[124],"identify":[126],"set":[128],"source-domain":[130],"most":[135],"suitable":[136],"thus":[141],"selected":[143],"as":[144],"follow-up":[149],"domain":[150,155,160],"adaptation.":[151],"Second,":[152],"novel":[154],"adaptation":[156,161],"method,":[157],"joint-probability-discrepancy-based":[159],"(JPDDA),":[162],"proposed":[164,190,230],"predict":[166],"labels":[168],"associated":[169],"target-domain":[172],"samples.":[173],"Specifically,":[174],"joint":[175],"probability":[176],"distribution":[177],"discrepancy":[178],"measures":[180],"transferability":[182,242],"between":[183,187],"domains":[184],"discriminability":[186],"classes":[188],"learn":[192],"domain-invariant":[194],"jointly":[196],"structural":[198],"risk":[199],"manifold":[201],"consistency.":[202],"Third,":[203],"JPDDA":[211,231],"validated":[213],"Children\u2019s":[216],"Hospital,":[217],"Zhejiang":[218],"University":[219],"School":[220],"Medicine":[222],"(CHZU)":[223],"dataset.":[224],"Experimental":[225],"results":[226],"show":[227],"can":[232],"achieve":[233],"high":[234],"accuracy,":[237],"which":[238],"reveals":[239],"good":[241],"JPDDA.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
