{"id":"https://openalex.org/W4391092986","doi":"https://doi.org/10.1109/bigdata59044.2023.10386191","title":"Multi-Task Learning Using Facial Features for Mental Health Screening","display_name":"Multi-Task Learning Using Facial Features for Mental Health Screening","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391092986","doi":"https://doi.org/10.1109/bigdata59044.2023.10386191"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5103273204","display_name":"Ricardo Flores","orcid":"https://orcid.org/0000-0002-9466-3993"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ricardo Flores","raw_affiliation_strings":["Worcester Polytechnic Institute,Data Science Department,Worcester,MA,USA","Data Science Department, Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Data Science Department,Worcester,MA,USA","institution_ids":["https://openalex.org/I107077323"]},{"raw_affiliation_string":"Data Science Department, Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032953737","display_name":"Avantika Shrestha","orcid":"https://orcid.org/0000-0002-7263-100X"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avantika Shrestha","raw_affiliation_strings":["Worcester Polytechnic Institute,Data Science Department,Worcester,MA,USA","Data Science Department, Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Data Science Department,Worcester,MA,USA","institution_ids":["https://openalex.org/I107077323"]},{"raw_affiliation_string":"Data Science Department, Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023220887","display_name":"ML Tlachac","orcid":"https://orcid.org/0000-0002-6634-678X"},"institutions":[{"id":"https://openalex.org/I178712713","display_name":"Bryant University","ror":"https://ror.org/01gk44f56","country_code":"US","type":"education","lineage":["https://openalex.org/I178712713"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ml Tlachac","raw_affiliation_strings":["Bryant University,Center for Health and Behavioral Sciences,Department of Information Systems and Analytics,Smithfield,RI,USA","Department of Information Systems and Analytics, Center for Health and Behavioral Sciences, Bryant University, Smithfield, RI, USA"],"affiliations":[{"raw_affiliation_string":"Bryant University,Center for Health and Behavioral Sciences,Department of Information Systems and Analytics,Smithfield,RI,USA","institution_ids":["https://openalex.org/I178712713"]},{"raw_affiliation_string":"Department of Information Systems and Analytics, Center for Health and Behavioral Sciences, Bryant University, Smithfield, RI, USA","institution_ids":["https://openalex.org/I178712713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008269094","display_name":"Elke A. Rundensteiner","orcid":"https://orcid.org/0000-0001-5375-9254"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elke A. Rundensteiner","raw_affiliation_strings":["Worcester Polytechnic Institute,Data Science Department Computer Science Department,Worcester,MA,USA","Data Science Department Computer Science Department, Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Data Science Department Computer Science Department,Worcester,MA,USA","institution_ids":["https://openalex.org/I107077323"]},{"raw_affiliation_string":"Data Science Department Computer Science Department, Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103273204"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":0.369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62102514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4881","last_page":"4890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10242","display_name":"Posttraumatic Stress Disorder Research","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T11334","display_name":"Psychosomatic Disorders and Their Treatments","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6031746864318848},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5962159633636475},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5905259847640991},{"id":"https://openalex.org/keywords/major-depressive-disorder","display_name":"Major depressive disorder","score":0.5825682878494263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5685980319976807},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5533617734909058},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.5201535820960999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5112879276275635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4886391758918762},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.468715101480484},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4381547272205353},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3455407917499542},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3187441825866699},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.2005888819694519},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.17916053533554077}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6031746864318848},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5962159633636475},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5905259847640991},{"id":"https://openalex.org/C2780051608","wikidata":"https://www.wikidata.org/wiki/Q42844","display_name":"Major depressive disorder","level":3,"score":0.5825682878494263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5685980319976807},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5533617734909058},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.5201535820960999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5112879276275635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4886391758918762},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.468715101480484},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4381547272205353},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3455407917499542},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3187441825866699},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.2005888819694519},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.17916053533554077},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W46663288","https://openalex.org/W1974665640","https://openalex.org/W1979128545","https://openalex.org/W1985765492","https://openalex.org/W2003502731","https://openalex.org/W2004312650","https://openalex.org/W2021247507","https://openalex.org/W2031250362","https://openalex.org/W2031495602","https://openalex.org/W2045875109","https://openalex.org/W2074736258","https://openalex.org/W2094767740","https://openalex.org/W2122538988","https://openalex.org/W2132322340","https://openalex.org/W2135596338","https://openalex.org/W2136939460","https://openalex.org/W2141569438","https://openalex.org/W2145151645","https://openalex.org/W2157331557","https://openalex.org/W2164254606","https://openalex.org/W2168490582","https://openalex.org/W2171662288","https://openalex.org/W2174561539","https://openalex.org/W2252180568","https://openalex.org/W2280348718","https://openalex.org/W2346454595","https://openalex.org/W2358113125","https://openalex.org/W2402965079","https://openalex.org/W2465603925","https://openalex.org/W2499796191","https://openalex.org/W2529925562","https://openalex.org/W2530431529","https://openalex.org/W2531271152","https://openalex.org/W2597655663","https://openalex.org/W2624871570","https://openalex.org/W2762895284","https://openalex.org/W2787427645","https://openalex.org/W2793141922","https://openalex.org/W2794506852","https://openalex.org/W2804589182","https://openalex.org/W2804823968","https://openalex.org/W2884420074","https://openalex.org/W2953212444","https://openalex.org/W2972968667","https://openalex.org/W2981660166","https://openalex.org/W2981677410","https://openalex.org/W3043278179","https://openalex.org/W3047855687","https://openalex.org/W3048791385","https://openalex.org/W3089876420","https://openalex.org/W3094502228","https://openalex.org/W3119802963","https://openalex.org/W3129219638","https://openalex.org/W3132754210","https://openalex.org/W3136750845","https://openalex.org/W3139349917","https://openalex.org/W3180190113","https://openalex.org/W3184613005","https://openalex.org/W3196974791","https://openalex.org/W3205969292","https://openalex.org/W3211189476","https://openalex.org/W3214493799","https://openalex.org/W4206632984","https://openalex.org/W4210320615","https://openalex.org/W4214853627","https://openalex.org/W4220859110","https://openalex.org/W4235968416","https://openalex.org/W4239943352","https://openalex.org/W4283027815","https://openalex.org/W4284889556","https://openalex.org/W4294975644","https://openalex.org/W4297686483","https://openalex.org/W4299522758","https://openalex.org/W4310350210","https://openalex.org/W4310350299","https://openalex.org/W4312788611","https://openalex.org/W4317418916","https://openalex.org/W4318148230","https://openalex.org/W4366967766","https://openalex.org/W4366967890","https://openalex.org/W4378715872","https://openalex.org/W4385245566","https://openalex.org/W6601957410","https://openalex.org/W6633711746","https://openalex.org/W6676218802","https://openalex.org/W6680230698","https://openalex.org/W6680303999","https://openalex.org/W6691669583","https://openalex.org/W6695433766","https://openalex.org/W6719863274","https://openalex.org/W6735377749","https://openalex.org/W6739365718","https://openalex.org/W6739901393","https://openalex.org/W6746503718","https://openalex.org/W6752178629","https://openalex.org/W6784333009","https://openalex.org/W6798598497"],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W2011264131","https://openalex.org/W4306353150","https://openalex.org/W2026860389","https://openalex.org/W8219677","https://openalex.org/W3216879894","https://openalex.org/W2890132085","https://openalex.org/W3207883763","https://openalex.org/W2168054807","https://openalex.org/W2058990474"],"abstract_inverted_index":{"Major":[0],"depressive":[1],"disorder":[2,7],"(MDD)":[3],"and":[4,17,23,74,103],"post-traumatic":[5],"stress":[6],"(PTSD)":[8],"are":[9,21,65],"prevalent":[10],"mental":[11,32,82,202],"health":[12,83],"conditions":[13],"with":[14,115],"severe":[15],"physical":[16],"social":[18],"impacts.":[19],"They":[20],"expensive":[22],"detection":[24],"is":[25,108],"difficult,":[26],"requiring":[27],"substantial":[28],"time":[29],"from":[30,52,127],"trained":[31,48],"professionals.":[33],"To":[34,85],"alleviate":[35],"this":[36],"issue,":[37],"recent":[38],"studies":[39],"explore":[40],"the":[41,71,81,146,159,168,177,199],"diagnostic":[42],"potential":[43],"of":[44,70,77,167,188,201],"deep":[45,62],"learning":[46,63,144,157,164],"models":[47,64],"on":[49,110,122],"modalities":[50],"extracted":[51,126],"clinical":[53,131],"interview":[54,132],"videos,":[55],"conducted":[56,134],"by":[57,135,181],"a":[58,111,136,185],"virtual":[59,137],"agent.":[60,138],"However,":[61],"challenging":[66],"to":[67,99,129,150,184],"train":[68],"because":[69],"long":[72],"sequences":[73],"small":[75],"number":[76],"participants":[78],"common":[79],"in":[80,190],"community.":[84],"combat":[86],"these":[87],"challenges,":[88],"we":[89],"leverage":[90],"multi-task":[91,106,120,143,156],"learning,":[92],"using":[93],"temporal":[94,123,206],"facial":[95,124,207],"features":[96,125],"as":[97],"input,":[98],"screen":[100],"for":[101,165,198],"MDD":[102,154,178],"PTSD.":[104],"The":[105,139],"architecture":[107],"based":[109],"bidirectional":[112],"GRU":[113],"model":[114,121,175],"self-attention.":[116],"We":[117],"evaluate":[118],"our":[119,173],"responses":[128],"15":[130,169],"questions":[133],"results":[140],"suggest":[141],"that":[142],"increases":[145],"generalization":[147],"performance":[148],"compared":[149],"single-task":[151,163],"learning.":[152],"For":[153],"screening,":[155],"improved":[158],"balanced":[160,186],"accuracy":[161,187],"over":[162],"11":[166],"datasets.":[170],"In":[171],"fact,":[172],"multi-learning":[174],"increased":[176],"screening":[179,203],"ability":[180],"25":[182],"percent":[183],"0.87":[189],"some":[191],"scenarios.":[192],"This":[193],"work":[194],"provides":[195],"valuable":[196],"findings":[197],"future":[200],"applications":[204],"leveraging":[205],"features.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
