{"id":"https://openalex.org/W2590291869","doi":"https://doi.org/10.1109/icci-cc.2016.7862089","title":"Soft biometric: Give me your favorite images and i will tell your gender","display_name":"Soft biometric: Give me your favorite images and i will tell your gender","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2590291869","doi":"https://doi.org/10.1109/icci-cc.2016.7862089","mag":"2590291869"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2016.7862089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5113788033","display_name":"Samiul Azam","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Samiul Azam","raw_affiliation_strings":["Department of Computer Science, University of Calgary Calgary, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072661451","display_name":"Marina L. Gavrilova","orcid":"https://orcid.org/0000-0002-5338-1834"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marina Gavrilova","raw_affiliation_strings":["Department of Computer Science, University of Calgary Calgary, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113788033"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":1.336,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8749056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9976000189781189,"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":0.9976000189781189,"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/T10057","display_name":"Face and Expression Recognition","score":0.98089998960495,"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/T10828","display_name":"Biometric Identification and Security","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/biometrics","display_name":"Biometrics","score":0.7574900388717651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769023537635803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6679039001464844},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5924232006072998},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.560844898223877},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5221652984619141},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5170115232467651},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4743845760822296},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45426127314567566},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.4422233998775482},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4414583146572113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3784685432910919},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19310951232910156}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7574900388717651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769023537635803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6679039001464844},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5924232006072998},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.560844898223877},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5221652984619141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5170115232467651},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4743845760822296},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45426127314567566},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.4422233998775482},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4414583146572113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3784685432910919},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19310951232910156},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icci-cc.2016.7862089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W181985881","https://openalex.org/W297909767","https://openalex.org/W1511924373","https://openalex.org/W1730693163","https://openalex.org/W1981034026","https://openalex.org/W1994739392","https://openalex.org/W1994830145","https://openalex.org/W1994852517","https://openalex.org/W2003856922","https://openalex.org/W2017337590","https://openalex.org/W2048835603","https://openalex.org/W2062771388","https://openalex.org/W2070602439","https://openalex.org/W2123475527","https://openalex.org/W2126936154","https://openalex.org/W2127730900","https://openalex.org/W2135190479","https://openalex.org/W2146194630","https://openalex.org/W2154259816","https://openalex.org/W2503531746","https://openalex.org/W2546133024","https://openalex.org/W4232637894","https://openalex.org/W4323254212","https://openalex.org/W6607436036","https://openalex.org/W6668350798","https://openalex.org/W6850867317"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W4233349824","https://openalex.org/W4200422973","https://openalex.org/W1530202541"],"abstract_inverted_index":{"Gender":[0],"estimation":[1],"for":[2,16,43],"security":[3],"and":[4,28,47,50,90,100,143],"forensic":[5],"purposes":[6],"is":[7,59,66,119,124,141],"not":[8],"a":[9,60,79,84,92,146,159],"trivial":[10],"task.":[11],"Recently,":[12],"researchers":[13],"provided":[14],"methods":[15],"predicting":[17,44],"gender":[18,77,169],"based":[19,126,171],"on":[20,127,145,172],"face-images,":[21],"fingerprint":[22],"ridge":[23],"density,":[24],"body":[25],"shape,":[26],"voice":[27],"gait.":[29],"No":[30],"research":[31],"to":[32,68,74,164],"date":[33],"have":[34,52],"been":[35],"concerned":[36],"with":[37],"using":[38,98],"one's":[39],"image":[40,87],"aesthetic":[41,55,72,88],"preferences":[42],"gender.":[45],"Cognitively":[46],"psychologically,":[48],"males":[49],"females":[51],"different":[53],"visual":[54],"preferences.":[56],"This":[57,81],"paper":[58],"proof":[61],"of":[62,78,86,94,111,130,136,149],"concept":[63],"that":[64,158],"it":[65],"possible":[67],"use":[69],"image's":[70],"perceptual":[71],"features":[73,89,97],"identify":[75],"the":[76,106,115,128,134],"person.":[80],"article":[82],"identifies":[83],"bag":[85],"selects":[91],"number":[93],"most":[95],"differentiating":[96],"filter":[99],"wrapping":[101],"selection":[102],"methods.":[103],"To":[104],"improve":[105],"classification":[107],"accuracy,":[108],"weighted":[109],"combination":[110],"decisions":[112],"obtained":[113],"by":[114,133],"conventional":[116],"binary":[117],"classifiers":[118],"used.":[120],"The":[121,138],"final":[122],"decision":[123],"made":[125],"fusion":[129],"probabilities":[131],"generated":[132],"mixture":[135],"classifiers.":[137],"prediction":[139,170],"model":[140],"trained":[142],"tested":[144],"database":[147],"consisting":[148],"24000":[150],"images":[151],"from":[152],"120":[153],"Flickr":[154],"users.":[155],"Experiment":[156],"shows":[157],"proper":[160],"weight":[161],"assignments":[162],"allows":[163],"obtain":[165],"77%":[166],"accuracy":[167],"in":[168],"aesthetics":[173],"alone.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}