{"id":"https://openalex.org/W7125913522","doi":"https://doi.org/10.1109/smc58881.2025.11343614","title":"Using Multiple Model Fusion and Attention Mechanism to Recognize Autism based on Facial Images","display_name":"Using Multiple Model Fusion and Attention Mechanism to Recognize Autism based on Facial Images","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125913522","doi":"https://doi.org/10.1109/smc58881.2025.11343614"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5124148589","display_name":"Ru Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ru Chen","raw_affiliation_strings":["Qufu Normal University,School of Cyber Science and Engineering,Qufu,China,273165"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Cyber Science and Engineering,Qufu,China,273165","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101493436","display_name":"Weiyang Chen","orcid":"https://orcid.org/0000-0002-9633-9695"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyang Chen","raw_affiliation_strings":["Qufu Normal University,School of Cyber Science and Engineering,Qufu,China,273165"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Cyber Science and Engineering,Qufu,China,273165","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101919481","display_name":"Yi Pan","orcid":"https://orcid.org/0000-0001-9371-7366"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Pan","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Shenzhen Key Laboratory of Intelligent Bioinformatics,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Shenzhen Key Laboratory of Intelligent Bioinformatics,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I158809036"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124148589"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73720613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3130","last_page":"3135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10106","display_name":"Autism Spectrum Disorder Research","score":0.8974000215530396,"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/T10106","display_name":"Autism Spectrum Disorder Research","score":0.8974000215530396,"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":0.028699999675154686,"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/T11448","display_name":"Face recognition and analysis","score":0.01759999990463257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neurotypical","display_name":"Neurotypical","score":0.7261000275611877},{"id":"https://openalex.org/keywords/autism","display_name":"Autism","score":0.6204000115394592},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5841000080108643},{"id":"https://openalex.org/keywords/autism-spectrum-disorder","display_name":"Autism spectrum disorder","score":0.5364000201225281},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.511900007724762},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43380001187324524},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41589999198913574}],"concepts":[{"id":"https://openalex.org/C2778391849","wikidata":"https://www.wikidata.org/wiki/Q1079090","display_name":"Neurotypical","level":4,"score":0.7261000275611877},{"id":"https://openalex.org/C205778803","wikidata":"https://www.wikidata.org/wiki/Q38404","display_name":"Autism","level":2,"score":0.6204000115394592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193000078201294},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5841000080108643},{"id":"https://openalex.org/C2778538070","wikidata":"https://www.wikidata.org/wiki/Q1436063","display_name":"Autism spectrum disorder","level":3,"score":0.5364000201225281},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.511900007724762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4828000068664551},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42010000348091125},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41589999198913574},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31869998574256897},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3179999887943268},{"id":"https://openalex.org/C2779388368","wikidata":"https://www.wikidata.org/wiki/Q3450985","display_name":"Neurodevelopmental disorder","level":3,"score":0.2867000102996826},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C2778594975","wikidata":"https://www.wikidata.org/wiki/Q3087172","display_name":"Developmental disorder","level":3,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7723848819732666}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1973668307","https://openalex.org/W2008275147","https://openalex.org/W2034279433","https://openalex.org/W2035679731","https://openalex.org/W2096451472","https://openalex.org/W2165244152","https://openalex.org/W2804935296","https://openalex.org/W2899292699","https://openalex.org/W2903594978","https://openalex.org/W2944029723","https://openalex.org/W2982292120","https://openalex.org/W3000742548","https://openalex.org/W3013358449","https://openalex.org/W3100981678","https://openalex.org/W3149983039","https://openalex.org/W3164873450","https://openalex.org/W3186331659","https://openalex.org/W3210155031","https://openalex.org/W3212509968","https://openalex.org/W4205904171","https://openalex.org/W4210658938","https://openalex.org/W4214539404","https://openalex.org/W4226247407","https://openalex.org/W4242121546","https://openalex.org/W4297478850","https://openalex.org/W4365448795","https://openalex.org/W4378376136","https://openalex.org/W4385210511","https://openalex.org/W4385390195"],"related_works":[],"abstract_inverted_index":{"Autism":[0],"Spectrum":[1],"Disorder":[2],"(ASD)":[3],"is":[4],"a":[5,83,113,196],"neurodevelopmental":[6],"condition":[7],"typically":[8],"emerging":[9],"in":[10,16,42,202],"early":[11,32,200],"childhood,":[12],"characterized":[13],"by":[14,52,64],"challenges":[15],"social":[17],"interaction,":[18],"communication":[19],"deficits,":[20],"restricted":[21],"interests,":[22],"and":[23,39,69,109,127,146,151,161,171,174],"repetitive":[24],"behavioral":[25],"patterns.":[26],"While":[27],"no":[28],"complete":[29],"cure":[30],"exists,":[31],"intervention":[33],"remains":[34],"critical":[35],"for":[36,191,199],"symptom":[37],"management":[38],"skill":[40],"development":[41],"affected":[43],"children.":[44],"Traditional":[45],"diagnostic":[46],"approaches":[47],"depend":[48],"on":[49],"clinical":[50],"assessments":[51],"mental":[53],"health":[54],"experts":[55],"following":[56],"established":[57],"criteria,":[58],"yet":[59],"these":[60],"methods":[61],"are":[62],"constrained":[63],"subjectivity,":[65],"prolonged":[66],"evaluation":[67],"periods,":[68],"high":[70],"costs.":[71],"Aiming":[72],"at":[73],"the":[74,79,121,130,154,185],"problem":[75],"that":[76,105],"most":[77],"of":[78,164,187],"existing":[80],"studies":[81],"use":[82],"single":[84],"deep":[85,101,188],"learning":[86,102,190],"model":[87,132,156],"to":[88,134],"classify":[89,135],"autistic":[90,126],"facial":[91,123,139],"images":[92],"with":[93,112],"insufficient":[94],"accuracy,":[95,144],"this":[96],"study":[97],"presents":[98],"an":[99,162],"innovative":[100],"framework":[103],"MFAN":[104,155],"combines":[106],"pre-trained":[107],"VGG16":[108,170],"MobileNetV2":[110,172],"architectures":[111],"Convolutional":[114],"Block":[115],"Attention":[116],"Module":[117],"(CBAM).":[118],"By":[119],"exploiting":[120],"discriminative":[122],"features":[124],"distinguishing":[125],"neurotypical":[128],"individuals,":[129],"proposed":[131],"aims":[133],"ASD":[136,193],"status":[137],"using":[138],"images.":[140],"Evaluation":[141],"metrics":[142],"include":[143],"precision,":[145],"recall.":[147],"After":[148],"rigorous":[149],"training":[150],"validation":[152],"protocols,":[153],"achieved":[157],"92.67%":[158],"test":[159],"accuracy":[160],"AUC-ROC":[163],"0.9635.":[165],"These":[166],"results":[167],"outperform":[168],"standalone":[169],"models":[173],"their":[175],"simple":[176],"combinations,":[177],"demonstrating":[178],"enhanced":[179],"classification":[180],"efficacy.":[181],"The":[182],"findings":[183],"highlight":[184],"potential":[186],"transfer":[189],"scalable":[192],"screening,":[194],"offering":[195],"promising":[197],"tool":[198],"detection":[201],"population-level":[203],"contexts.":[204]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
