{"id":"https://openalex.org/W7116763759","doi":"https://doi.org/10.1186/s13040-025-00498-x","title":"SBT-Net: a tri-cue guided multimodal fusion framework for depression recognition","display_name":"SBT-Net: a tri-cue guided multimodal fusion framework for depression recognition","publication_year":2025,"publication_date":"2025-12-22","ids":{"openalex":"https://openalex.org/W7116763759","doi":"https://doi.org/10.1186/s13040-025-00498-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/41430717"},"language":"en","primary_location":{"id":"doi:10.1186/s13040-025-00498-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-025-00498-x","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13040-025-00498-x.pdf","source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioData Mining","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s13040-025-00498-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020641943","display_name":"Yujie Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yujie Huo","raw_affiliation_strings":["Faculty of Computing, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Johor, 81310, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Johor, 81310, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047121335","display_name":"Weng Howe Chan","orcid":"https://orcid.org/0000-0003-0612-3661"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Weng Howe Chan","raw_affiliation_strings":["Faculty of Computing, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Johor, 81310, Malaysia. cwenghowe@utm.my","UTM Big Data Centre, Ibnu Sina Institute for Scientific and Industrial Resarch Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Johor, 81310, Malaysia. cwenghowe@utm.my"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Johor, 81310, Malaysia. cwenghowe@utm.my","institution_ids":["https://openalex.org/I4576418"]},{"raw_affiliation_string":"UTM Big Data Centre, Ibnu Sina Institute for Scientific and Industrial Resarch Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Johor, 81310, Malaysia. cwenghowe@utm.my","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095691378","display_name":"Ahmad Najmi Bin Amerhaider Nuar","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ahmad Najmi Bin Amerhaider Nuar","raw_affiliation_strings":["Faculty of Computing, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Johor, 81310, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Universiti Teknologi Malaysia, UTM Skudai, Johor Bahru, Johor, 81310, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120994674","display_name":"Hongyu Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyu Gao","raw_affiliation_strings":["Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, Chengdu, Sichuan Province, 611731, China. gaohongyu926@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, Chengdu, Sichuan Province, 611731, China. gaohongyu926@gmail.com","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047121335","https://openalex.org/A5120994674"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4576418"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.4758,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87758874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":"1","first_page":"86","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8508999943733215,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8508999943733215,"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"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.08749999850988388,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.032099999487400055,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/benchmark","display_name":"Benchmark (surveying)","score":0.6796000003814697},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6046000123023987},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.48429998755455017},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4438000023365021},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.3458999991416931},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.32510000467300415},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.31119999289512634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754800021648407},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6796000003814697},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6046000123023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.538100004196167},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4438000023365021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39800000190734863},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3869999945163727},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.27730000019073486}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s13040-025-00498-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-025-00498-x","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13040-025-00498-x.pdf","source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioData Mining","raw_type":"journal-article"},{"id":"pmid:41430717","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41430717","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":"BioData mining","raw_type":null},{"id":"pmh:oai:doaj.org/article:075c115c4f3b41d7ae3b6aa7011e7875","is_oa":true,"landing_page_url":"https://doaj.org/article/075c115c4f3b41d7ae3b6aa7011e7875","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BioData Mining, Vol 18, Iss 1, Pp 1-32 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12723886","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12723886/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BioData Min","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s13040-025-00498-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-025-00498-x","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13040-025-00498-x.pdf","source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioData Mining","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W7116763759.pdf"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1878508373","https://openalex.org/W1892403428","https://openalex.org/W1981020864","https://openalex.org/W1999165454","https://openalex.org/W2037263999","https://openalex.org/W2064675550","https://openalex.org/W2067495470","https://openalex.org/W2069499091","https://openalex.org/W2132322340","https://openalex.org/W2148822124","https://openalex.org/W2157331557","https://openalex.org/W2199126578","https://openalex.org/W2504538113","https://openalex.org/W2531569042","https://openalex.org/W2562319768","https://openalex.org/W2781785418","https://openalex.org/W2800418807","https://openalex.org/W2805970382","https://openalex.org/W2889097229","https://openalex.org/W2964216663","https://openalex.org/W3083323904","https://openalex.org/W3110392656","https://openalex.org/W3128412859","https://openalex.org/W3154219437","https://openalex.org/W3164957041","https://openalex.org/W3194197436","https://openalex.org/W3197055506","https://openalex.org/W3214432797","https://openalex.org/W3214493799","https://openalex.org/W4211263234","https://openalex.org/W4213206766","https://openalex.org/W4224924082","https://openalex.org/W4226151733","https://openalex.org/W4244342515","https://openalex.org/W4281382989","https://openalex.org/W4294811355","https://openalex.org/W4312199940","https://openalex.org/W4313443450","https://openalex.org/W4317553424","https://openalex.org/W4318053977","https://openalex.org/W4377088196","https://openalex.org/W4378364420","https://openalex.org/W4383371658","https://openalex.org/W4385695854","https://openalex.org/W4386702994","https://openalex.org/W4386813249","https://openalex.org/W4388666562","https://openalex.org/W4388686529","https://openalex.org/W4389520112","https://openalex.org/W4390226844","https://openalex.org/W4390972939","https://openalex.org/W4391721128","https://openalex.org/W4392904615","https://openalex.org/W4392909502","https://openalex.org/W4393036504","https://openalex.org/W4393353070","https://openalex.org/W4395467463","https://openalex.org/W4396610489","https://openalex.org/W4396773505","https://openalex.org/W4400673177","https://openalex.org/W4401905360","https://openalex.org/W4402158569","https://openalex.org/W4402727412","https://openalex.org/W4402917192","https://openalex.org/W4403352318","https://openalex.org/W4403427719","https://openalex.org/W4403791559","https://openalex.org/W4404035171","https://openalex.org/W4405686157","https://openalex.org/W4405726868","https://openalex.org/W4405988167","https://openalex.org/W4406090302","https://openalex.org/W4406774349","https://openalex.org/W4406919848","https://openalex.org/W4407030995","https://openalex.org/W4407318735","https://openalex.org/W4409127134","https://openalex.org/W4409187168","https://openalex.org/W4409205395","https://openalex.org/W4409209942","https://openalex.org/W4409212483","https://openalex.org/W4410358595","https://openalex.org/W4411863858"],"related_works":[],"abstract_inverted_index":{"Early":[0],"detection":[1,43,181],"of":[2,100,145,159,167],"depression":[3,42,180],"is":[4],"vital":[5],"for":[6,40],"public":[7],"health,":[8],"yet":[9],"current":[10],"multimodal":[11,179],"methods":[12],"often":[13],"struggle":[14],"with":[15],"challenges":[16],"such":[17],"as":[18],"modality":[19,66],"incompleteness,":[20],"semantic":[21,71,169],"inconsistency,":[22],"and":[23,46,84,88,118,141,156,173],"emotional":[24,102,174],"temporal":[25,98],"fluctuation.":[26],"To":[27],"address":[28],"these":[29],"issues,":[30],"this":[31],"paper":[32],"proposes":[33],"SBT-Net,":[34],"a":[35,55,73],"novel":[36],"Semantic-Bias-Trend":[37],"guided":[38,57],"framework":[39],"robust":[41],"from":[44],"audio":[45],"text":[47],"data.":[48],"The":[49,183],"model":[50],"integrates":[51],"three":[52],"innovative":[53],"modules:":[54],"semantically":[56],"cross-modal":[58],"gating":[59],"(SGCMG)":[60],"mechanism":[61,79],"that":[62,80,95,127],"dynamically":[63],"filters":[64],"effective":[65],"features":[67],"based":[68],"on":[69],"global":[70],"cues,":[72],"bias-guided":[74],"tensor":[75],"product":[76],"attention":[77],"(BG-TPA)":[78],"enhances":[81],"fine-grained":[82],"fusion":[83],"alignment":[85],"between":[86],"modalities,":[87],"an":[89],"emotion":[90],"trend":[91,175],"modeling":[92,176],"(ETM)":[93],"module":[94],"captures":[96],"the":[97,148,154,165],"evolution":[99],"depressive":[101],"states.We":[103],"evaluate":[104],"SBT-Net":[105,128],"using":[106],"two":[107],"widely":[108],"adopted":[109],"benchmark":[110],"datasets:":[111],"DAIC-WOZ,":[112],"which":[113,146],"contains":[114],"189":[115],"interview":[116],"sessions,":[117],"EATD-Corpus,":[119],"comprising":[120],"162":[121],"conversational":[122],"samples.":[123],"Experimental":[124],"results":[125],"show":[126],"achieves":[129],"excellent":[130],"performance":[131],"in":[132],"multiple":[133],"indicators,":[134],"including":[135],"93.0%":[136],"accuracy,":[137],"0.93":[138],"F1":[139],"score,":[140],"0.92":[142],"recall,":[143],"all":[144],"surpass":[147],"competitive":[149],"baselines.Ablation":[150],"studies":[151],"further":[152],"validate":[153],"individual":[155],"synergistic":[157],"contributions":[158],"each":[160],"proposed":[161],"module.These":[162],"findings":[163],"highlight":[164],"potential":[166],"integrating":[168],"guidance,":[170],"bias-aware":[171],"fusion,":[172],"to":[177],"advance":[178],"solutions.":[182],"source":[184],"code":[185],"can":[186],"be":[187],"found":[188],"at":[189],"https://github.com/ghy-yhg/SBT-Net":[190],".":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-12-22T00:00:00"}
