{"id":"https://openalex.org/W4395057347","doi":"https://doi.org/10.1145/3638884.3638921","title":"EMAA: An Ensemble Multimodal Approach based on Auto-decoder for Depression Detection","display_name":"EMAA: An Ensemble Multimodal Approach based on Auto-decoder for Depression Detection","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4395057347","doi":"https://doi.org/10.1145/3638884.3638921"},"language":"en","primary_location":{"id":"doi:10.1145/3638884.3638921","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638884.3638921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Communication and Information Processing","raw_type":"proceedings-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/A5032604356","display_name":"Yuhang Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Pan","raw_affiliation_strings":["School of Biomedical Engineering, Hainan University, China"],"raw_orcid":"https://orcid.org/0009-0002-4618-3394","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Hainan University, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011024314","display_name":"Jingwei Jiang","orcid":"https://orcid.org/0009-0001-4714-9975"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Jiang","raw_affiliation_strings":["School of Biomedical Engineering, Hainan University, China"],"raw_orcid":"https://orcid.org/0009-0001-4714-9975","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Hainan University, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069861608","display_name":"Chinan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chinan Wang","raw_affiliation_strings":["School of Biomedical Engineering, Hainan University, China"],"raw_orcid":"https://orcid.org/0000-0003-4441-8807","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Hainan University, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001652521","display_name":"Jing Jie","orcid":"https://orcid.org/0000-0002-7437-0069"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Jie","raw_affiliation_strings":["School of Biomedical Engineering, Hainan University, China"],"raw_orcid":"https://orcid.org/0000-0002-7437-0069","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Hainan University, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103031967","display_name":"Ming Yin","orcid":"https://orcid.org/0000-0002-6140-7758"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yin","raw_affiliation_strings":["School of Biomedical Engineering, Hainan University, China"],"raw_orcid":"https://orcid.org/0000-0002-6140-7758","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Hainan University, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23311594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"250","last_page":"255"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9984999895095825,"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":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.7055937051773071},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6387453079223633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6292919516563416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5549333691596985},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5474773049354553},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5209149718284607},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48451465368270874},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.41869229078292847},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3802536129951477},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13243147730827332},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.0680873692035675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7055937051773071},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6387453079223633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6292919516563416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5549333691596985},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5474773049354553},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5209149718284607},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48451465368270874},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.41869229078292847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3802536129951477},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13243147730827332},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0680873692035675},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638884.3638921","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638884.3638921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Communication and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7400000095367432,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G6726061094","display_name":null,"funder_award_id":"Nos.32200892 and 32160204","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G8914335098","display_name":null,"funder_award_id":"No. ZDKJ2021032","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1980122010","https://openalex.org/W1994108308","https://openalex.org/W2040232951","https://openalex.org/W2057428050","https://openalex.org/W2068503723","https://openalex.org/W2497216955","https://openalex.org/W2589719932","https://openalex.org/W2884131962","https://openalex.org/W2921970009","https://openalex.org/W3003417734","https://openalex.org/W3004605627","https://openalex.org/W3046632025","https://openalex.org/W3116201721","https://openalex.org/W4205622176","https://openalex.org/W4224247713","https://openalex.org/W4225581311"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2914170859","https://openalex.org/W2889342546","https://openalex.org/W2106231951","https://openalex.org/W2032664813"],"abstract_inverted_index":{"Depression":[0],"has":[1],"become":[2],"a":[3,55,170],"major":[4],"disease":[5],"in":[6,58,107],"recent":[7],"years,":[8],"causing":[9],"many":[10],"people":[11],"to":[12,39,62,83,89,124],"commit":[13],"suicide.":[14],"The":[15,132],"use":[16],"of":[17,27,34,146,151],"non-invasive":[18],"electroencephalography":[19],"(EEG)":[20],"is":[21],"crucial":[22],"for":[23,42,173],"the":[24,31,75,90,100,116,126,149],"automated":[25,164],"detection":[26],"depressive":[28],"disorders.":[29],"However,":[30],"current":[32],"accuracies":[33],"EEG-based":[35,178],"diagnostic":[36],"methods":[37],"need":[38],"be":[40,169],"improved":[41],"real-world":[43],"applications.":[44],"To":[45],"address":[46],"this":[47,159],"challenge,":[48],"we":[49,97,161],"used":[50],"Common":[51],"Spatial":[52],"Patterns":[53],"(CSP),":[54],"common":[56],"technique":[57],"brain-computer":[59],"interfaces":[60],"(BCI),":[61],"extract":[63,99],"features":[64],"from":[65,111],"event-related":[66],"potential":[67],"data":[68],"and":[69,138,153],"classify":[70,125],"depression/health":[71],"instances.":[72],"We":[73],"proposed":[74],"Ensemble":[76],"Multimodal":[77],"Approach":[78],"based":[79],"on":[80],"Auto-decoder":[81],"(EMAA)":[82],"promote":[84],"depression":[85,180],"recognition":[86],"accuracy.":[87],"According":[88],"feature":[91,101,109,120],"subsets":[92,155],"generated":[93],"by":[94],"text":[95],"matching,":[96],"then":[98],"vectors":[102,121],"that":[103,135,167],"exhibit":[104],"outstanding":[105],"performance":[106],"multimodal":[108],"fusion":[110,150],"their":[112,129],"corresponding":[113],"subsets.":[114],"Finally,":[115],"LightGBM":[117],"classifier":[118],"utilized":[119],"as":[122],"input":[123],"participants":[127,140],"into":[128],"respective":[130],"classes.":[131],"results":[133],"showed":[134],"severely":[136],"depressed":[137],"healthy":[139],"were":[141],"recognised":[142],"with":[143],"an":[144,163],"accuracy":[145],"91.34%":[147],"through":[148],"happy":[152],"sad":[154],"using":[156],"EMAA.":[157],"In":[158],"work,":[160],"presented":[162],"processing":[165],"method":[166],"could":[168],"valuable":[171],"reference":[172],"studies":[174],"aimed":[175],"at":[176],"detecting":[177],"mild":[179],"detection.":[181]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}