{"id":"https://openalex.org/W4407892990","doi":"https://doi.org/10.1007/s10462-025-11137-6","title":"Leveraging generative AI synthetic and social media data for content generalizability to overcome data constraints in vision deep learning","display_name":"Leveraging generative AI synthetic and social media data for content generalizability to overcome data constraints in vision deep learning","publication_year":2025,"publication_date":"2025-02-24","ids":{"openalex":"https://openalex.org/W4407892990","doi":"https://doi.org/10.1007/s10462-025-11137-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-025-11137-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11137-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11137-6.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11137-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043103961","display_name":"Panteha Alipour","orcid":"https://orcid.org/0000-0002-7005-3330"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Panteha Alipour","raw_affiliation_strings":["Department of Systems Engineering, Colorado State University, 6029 Campus Delivery, Fort Collins, CO, 80523, USA"],"raw_orcid":"https://orcid.org/0000-0002-7005-3330","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, Colorado State University, 6029 Campus Delivery, Fort Collins, CO, 80523, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106371217","display_name":"Erika E. Gallegos","orcid":"https://orcid.org/0000-0001-5009-9916"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erika Gallegos","raw_affiliation_strings":["Department of Systems Engineering, Colorado State University, 6029 Campus Delivery, Fort Collins, CO, 80523, USA"],"raw_orcid":"https://orcid.org/0000-0001-5009-9916","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, Colorado State University, 6029 Campus Delivery, Fort Collins, CO, 80523, USA","institution_ids":["https://openalex.org/I92446798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043103961"],"corresponding_institution_ids":["https://openalex.org/I92446798"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":3.3997,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91337547,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"58","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9959999918937683,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9951000213623047,"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/generalizability-theory","display_name":"Generalizability theory","score":0.924990177154541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103662133216858},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.677079439163208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6246708035469055},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5763896703720093},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5405188798904419},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5087254643440247},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5032784342765808},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48034703731536865},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4201241731643677},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33776819705963135},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12721025943756104},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10047760605812073}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.924990177154541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103662133216858},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.677079439163208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6246708035469055},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5763896703720093},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5405188798904419},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5087254643440247},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5032784342765808},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48034703731536865},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4201241731643677},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33776819705963135},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12721025943756104},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10047760605812073},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-025-11137-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11137-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11137-6.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-025-11137-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11137-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11137-6.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407892990.pdf"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1965947362","https://openalex.org/W2035372623","https://openalex.org/W2103943262","https://openalex.org/W2106115875","https://openalex.org/W2160068737","https://openalex.org/W2531409750","https://openalex.org/W2603777577","https://openalex.org/W2744790096","https://openalex.org/W2799041689","https://openalex.org/W2894737833","https://openalex.org/W2921230249","https://openalex.org/W2954984627","https://openalex.org/W2962770929","https://openalex.org/W2963352069","https://openalex.org/W2971641579","https://openalex.org/W2980669002","https://openalex.org/W2993587506","https://openalex.org/W2995831381","https://openalex.org/W2998061714","https://openalex.org/W3021346002","https://openalex.org/W3035574324","https://openalex.org/W3096831136","https://openalex.org/W3112734613","https://openalex.org/W3114052338","https://openalex.org/W3120084484","https://openalex.org/W3122625437","https://openalex.org/W3124054989","https://openalex.org/W3137434326","https://openalex.org/W3138357254","https://openalex.org/W3173241699","https://openalex.org/W3182245398","https://openalex.org/W3183903096","https://openalex.org/W3187532107","https://openalex.org/W3192706046","https://openalex.org/W3197418972","https://openalex.org/W3197438232","https://openalex.org/W3201313642","https://openalex.org/W3202132355","https://openalex.org/W4214588288","https://openalex.org/W4224307605","https://openalex.org/W4241886362","https://openalex.org/W4281484041","https://openalex.org/W4283159491","https://openalex.org/W4283654572","https://openalex.org/W4285250231","https://openalex.org/W4293203052","https://openalex.org/W4295413959","https://openalex.org/W4312056919","https://openalex.org/W4312252681","https://openalex.org/W4312761866","https://openalex.org/W4318475704","https://openalex.org/W4319878478","https://openalex.org/W4321496408","https://openalex.org/W4383955446","https://openalex.org/W4390507962","https://openalex.org/W4390873137","https://openalex.org/W4392106982","https://openalex.org/W4392202259","https://openalex.org/W4392751693","https://openalex.org/W4399189200","https://openalex.org/W4400064933","https://openalex.org/W4400527362","https://openalex.org/W4400529244","https://openalex.org/W4401250052","https://openalex.org/W4401384485","https://openalex.org/W4401672000","https://openalex.org/W4402201761","https://openalex.org/W4402497535","https://openalex.org/W4402553424","https://openalex.org/W4402723344","https://openalex.org/W4402986861","https://openalex.org/W4403344044","https://openalex.org/W4403360640","https://openalex.org/W4403392038","https://openalex.org/W4405115694","https://openalex.org/W4405119378"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"Generalizing":[0],"deep":[1],"learning":[2],"models":[3,49,105],"across":[4,196],"diverse":[5,126,198],"content":[6,41,134,176],"types":[7],"is":[8,113],"a":[9,56,63,151,157],"persistent":[10],"challenge":[11],"in":[12,55,154,160],"domains":[13],"like":[14],"facial":[15,80],"emotion":[16],"recognition":[17],"(FER),":[18],"where":[19],"datasets":[20],"often":[21],"fail":[22],"to":[23,82,93,135,146,189],"reflect":[24],"the":[25,38,85,181],"wide":[26],"range":[27],"of":[28,40,87,183],"emotional":[29,98],"responses":[30],"triggered":[31],"by":[32,43],"different":[33,89],"stimuli.":[34],"This":[35,119],"study":[36],"addresses":[37],"issue":[39],"generalizability":[42,137],"comparing":[44],"FER":[45,104,191],"model":[46],"performance":[47],"between":[48],"trained":[50],"on":[51,79],"video":[52],"data":[53,60,70,90,124,131,188],"collected":[54],"controlled":[57],"laboratory":[58],"environment,":[59],"extracted":[61],"from":[62],"social":[64,166],"media":[65,167],"platform":[66],"(YouTube),":[67],"and":[68,84,100,122,141,156,168,174,186,199],"synthetic":[69,169,185],"generated":[71],"using":[72,115],"Generative":[73],"Adversarial":[74],"Networks.":[75],"The":[76],"videos":[77],"focus":[78],"reactions":[81],"advertisements,":[83],"integration":[86],"these":[88],"sources":[91],"seeks":[92],"address":[94],"underrepresented":[95],"advertisement":[96,127],"genres,":[97],"reactions,":[99],"individual":[101],"diversity.":[102],"Our":[103],"leverage":[106],"Convolutional":[107],"Neural":[108],"Networks":[109],"Xception":[110],"architecture,":[111],"which":[112],"fine-tuned":[114],"category":[116],"based":[117],"sampling.":[118],"ensures":[120],"training":[121],"validation":[123],"represent":[125],"categories,":[128],"while":[129],"testing":[130],"includes":[132],"novel":[133],"evaluate":[136],"rigorously.":[138],"Precision\u2013recall":[139],"curves":[140],"ROC-AUC":[142],"metrics":[143],"are":[144],"used":[145],"assess":[147],"performance.":[148],"Results":[149],"indicate":[150],"7%":[152],"improvement":[153],"accuracy":[155],"12%":[158],"increase":[159],"precision\u2013recall":[161],"AUC":[162],"when":[163],"combining":[164],"real-world":[165,187],"data,":[170],"demonstrating":[171],"reduced":[172],"overfitting":[173],"enhanced":[175],"generalizability.":[177],"These":[178],"findings":[179],"highlight":[180],"effectiveness":[182],"integrating":[184],"build":[190],"systems":[192],"that":[193],"perform":[194],"reliably":[195],"more":[197],"representative":[200],"content.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
