{"id":"https://openalex.org/W4399040001","doi":"https://doi.org/10.1109/taffc.2024.3405584","title":"Rethinking Inconsistent Context and Imbalanced Regression in Depression Severity Prediction","display_name":"Rethinking Inconsistent Context and Imbalanced Regression in Depression Severity Prediction","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399040001","doi":"https://doi.org/10.1109/taffc.2024.3405584"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2024.3405584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3405584","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective 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/A5071105065","display_name":"Guanhe Huang","orcid":"https://orcid.org/0000-0001-7631-0011"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhe Huang","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-7631-0011","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336774","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-6566-1406"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6566-1406","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639152","display_name":"Heli Lu","orcid":"https://orcid.org/0000-0001-8946-5899"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]},{"id":"https://openalex.org/I4210108480","display_name":"Second Affiliated Hospital of Nanchang University","ror":"https://ror.org/01nxv5c88","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210108480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heli Lu","raw_affiliation_strings":["Department of Psychosomatic Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-8946-5899","affiliations":[{"raw_affiliation_string":"Department of Psychosomatic Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914","https://openalex.org/I4210108480"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ming Guo","orcid":"https://orcid.org/0009-0008-4263-6679"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]},{"id":"https://openalex.org/I4210108480","display_name":"Second Affiliated Hospital of Nanchang University","ror":"https://ror.org/01nxv5c88","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210108480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Guo","raw_affiliation_strings":["Department of Psychosomatic Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0008-4263-6679","affiliations":[{"raw_affiliation_string":"Department of Psychosomatic Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914","https://openalex.org/I4210108480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055627037","display_name":"Shengyong Chen","orcid":"https://orcid.org/0000-0002-6705-3831"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyong Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6705-3831","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3265,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8733932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"4","first_page":"2154","last_page":"2168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T13702","display_name":"Machine Learning in Healthcare","score":0.9143999814987183,"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/T13283","display_name":"Mental Health Research Topics","score":0.9085000157356262,"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/context","display_name":"Context (archaeology)","score":0.6682331562042236},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5942102670669556},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.576958417892456},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5013659000396729},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.49621468782424927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4440382719039917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3806069493293762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3544688820838928},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34522879123687744},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33797192573547363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2563099265098572},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1404697597026825},{"id":"https://openalex.org/keywords/psychotherapist","display_name":"Psychotherapist","score":0.11990490555763245},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09695348143577576}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6682331562042236},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5942102670669556},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.576958417892456},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5013659000396729},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.49621468782424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4440382719039917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3806069493293762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3544688820838928},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34522879123687744},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33797192573547363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2563099265098572},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1404697597026825},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.11990490555763245},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09695348143577576},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2024.3405584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3405584","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1592249304","display_name":null,"funder_award_id":"62020106004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3822465992","display_name":null,"funder_award_id":"62373280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5370040448","display_name":null,"funder_award_id":"92048301","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W90257252","https://openalex.org/W1522301498","https://openalex.org/W1524375783","https://openalex.org/W1574447377","https://openalex.org/W1902237438","https://openalex.org/W1959608418","https://openalex.org/W1968569056","https://openalex.org/W1970171468","https://openalex.org/W2004312650","https://openalex.org/W2054931962","https://openalex.org/W2058971120","https://openalex.org/W2064675550","https://openalex.org/W2068055929","https://openalex.org/W2080905830","https://openalex.org/W2091936017","https://openalex.org/W2095705004","https://openalex.org/W2101259217","https://openalex.org/W2113669296","https://openalex.org/W2131744502","https://openalex.org/W2132322340","https://openalex.org/W2134431612","https://openalex.org/W2148143831","https://openalex.org/W2162709223","https://openalex.org/W2225156818","https://openalex.org/W2251383488","https://openalex.org/W2295598076","https://openalex.org/W2470673105","https://openalex.org/W2529925562","https://openalex.org/W2531271152","https://openalex.org/W2751214333","https://openalex.org/W2765540322","https://openalex.org/W2766415998","https://openalex.org/W2767030624","https://openalex.org/W2767043218","https://openalex.org/W2767088461","https://openalex.org/W2790748806","https://openalex.org/W2884561390","https://openalex.org/W2889056793","https://openalex.org/W2891155597","https://openalex.org/W2912720349","https://openalex.org/W2921615591","https://openalex.org/W2962933664","https://openalex.org/W2963691377","https://openalex.org/W2964050365","https://openalex.org/W2970603474","https://openalex.org/W2972853497","https://openalex.org/W3000369298","https://openalex.org/W3022187094","https://openalex.org/W3035250245","https://openalex.org/W3043374725","https://openalex.org/W3090162840","https://openalex.org/W3096628760","https://openalex.org/W3098431772","https://openalex.org/W3115771810","https://openalex.org/W3173436521","https://openalex.org/W3175460367","https://openalex.org/W4231510805","https://openalex.org/W6603998576","https://openalex.org/W6631190155","https://openalex.org/W6639619044","https://openalex.org/W6640963894","https://openalex.org/W6674330103","https://openalex.org/W6679775712","https://openalex.org/W6685356407","https://openalex.org/W6687045409","https://openalex.org/W6691669583","https://openalex.org/W6736685754","https://openalex.org/W6748532171","https://openalex.org/W6755207826","https://openalex.org/W6761503234","https://openalex.org/W6761642997","https://openalex.org/W6768920361","https://openalex.org/W6790920653","https://openalex.org/W6997282461"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,42,81,185],"the":[3,48,55,60,67,78,92,95,106,129,139,143,152,159,168,181,188],"world's":[4],"most":[5],"prevalent":[6],"mental":[7],"illnesses,":[8],"depression":[9,35,82,109,112,160],"is":[10,51,63],"not":[11],"easy":[12],"to":[13,54,77,155,158],"detect":[14],"since":[15],"it":[16],"affects":[17],"different":[18,21,163],"people":[19],"in":[20,34,87,101,171,178],"ways.":[22],"Recently,":[23],"linguistic":[24],"features":[25,131,141],"extracted":[26],"from":[27,132,142],"transcribed":[28],"texts":[29],"have":[30],"been":[31],"widely":[32],"explored":[33],"detection":[36,49],"because":[37],"they":[38],"contain":[39],"a":[40,118,174],"variety":[41],"cues":[43],"about":[44],"psychological":[45],"activities.":[46],"However,":[47],"performance":[50],"limited":[52],"due":[53,76],"following":[56],"two":[57],"reasons:":[58],"1)":[59],"dialogue":[61],"structure":[62],"ignored,":[64],"which":[65,126],"causes":[66],"Inconsistent":[68],"Context":[69],"problem;":[70],"and":[71,98,104,111,138,173,183,192],"2)":[72],"Imbalanced":[73],"Regression":[74],"occurs":[75],"long-tailed":[79],"distribution":[80],"datasets.":[83],"To":[84],"this":[85,88],"end,":[86],"paper":[89],"we":[90,116,150],"investigate":[91],"relationship":[93],"between":[94,108],"local":[96,133],"topic":[97],"global":[99,144],"context":[100,145],"interview":[102],"transcripts,":[103],"bridge":[105],"gap":[107],"symptoms":[110],"severity.":[113],"In":[114],"particular,":[115],"propose":[117],"model":[119],"called":[120],"Conditional":[121],"Variational":[122],"Topic-enriched":[123],"Auto-Encoder":[124],"(CVTAE),":[125],"can":[127],"capture":[128],"spatial":[130],"topics":[134],"via":[135],"variational":[136],"inference,":[137],"temporal":[140],"with":[146,162],"attention":[147],"mechanism.":[148],"Besides,":[149],"apply":[151],"re-weighting":[153],"strategies":[154],"assigning":[156],"weights":[157],"labels":[161],"values.":[164],"Extensive":[165],"experiments":[166],"on":[167],"DAIC-WOZ":[169],"dataset":[170],"English":[172],"self-constructed":[175],"database":[176],"NCUDID":[177],"Chinese":[179],"demonstrate":[180],"effectiveness":[182],"robustness":[184],"CVTAE,":[186],"while":[187],"comprehensive":[189],"ablation":[190],"study":[191,194],"case":[193],"show":[195],"its":[196],"interpretability.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
