{"id":"https://openalex.org/W2307164728","doi":"https://doi.org/10.1109/siu.2015.7130012","title":"Analyzing effects of face modalities","display_name":"Analyzing effects of face modalities","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2307164728","doi":"https://doi.org/10.1109/siu.2015.7130012","mag":"2307164728"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2015.7130012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089596663","display_name":"B\u00fc\u015fra \u00c7anak","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Busra Canak","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009982931","display_name":"Haz\u0131m Kemal Ekenel","orcid":"https://orcid.org/0000-0003-3697-8548"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hazim Kemal Ekenel","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"1046","last_page":"1049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9922000169754028,"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/T12496","display_name":"Color perception and design","score":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.9249354600906372},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6968023777008057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6814365983009338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49100568890571594},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.48947203159332275},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4751424789428711},{"id":"https://openalex.org/keywords/face-to-face","display_name":"Face-to-face","score":0.4470486640930176},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4324694573879242},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.42566680908203125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3678699731826782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35306698083877563},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.14554381370544434}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.9249354600906372},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6968023777008057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6814365983009338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49100568890571594},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.48947203159332275},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4751424789428711},{"id":"https://openalex.org/C2777359053","wikidata":"https://www.wikidata.org/wiki/Q2463823","display_name":"Face-to-face","level":2,"score":0.4470486640930176},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4324694573879242},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.42566680908203125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3678699731826782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35306698083877563},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.14554381370544434},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2015.7130012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/36070","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/36070","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W76104505","https://openalex.org/W1545641654","https://openalex.org/W1593989786","https://openalex.org/W2020944503","https://openalex.org/W2033419168","https://openalex.org/W2096061497","https://openalex.org/W2101392314","https://openalex.org/W2118664399","https://openalex.org/W2118755929","https://openalex.org/W2145310492","https://openalex.org/W2147278565","https://openalex.org/W2148517791","https://openalex.org/W2149494055","https://openalex.org/W2153635508","https://openalex.org/W2165723227","https://openalex.org/W2534023444","https://openalex.org/W6728601258"],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W4306353150","https://openalex.org/W2026860389","https://openalex.org/W8219677","https://openalex.org/W3216879894","https://openalex.org/W2168054807","https://openalex.org/W2058990474","https://openalex.org/W3207883763","https://openalex.org/W1552490587","https://openalex.org/W3035701170"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"investigate":[4],"the":[5,14,26,86,96,103,106,114],"effect":[6,15,53,87],"of":[7,16,25,28,75,88,92],"face":[8,17,41,48,107,115],"modalities":[9,18],"on":[10],"each":[11,35,40,82],"other.":[12],"Analysing":[13],"is":[19,58,65,78],"a":[20],"difficult":[21],"research":[22],"problem,":[23],"because":[24],"lack":[27],"publicly":[29],"available":[30],"annotated":[31],"databases,":[32],"in":[33],"which":[34],"sample":[36],"has":[37],"labels":[38],"for":[39],"mode.":[42],"We":[43],"selected":[44],"gender":[45],"and":[46,63,70],"age":[47],"modes":[49,108,116],"to":[50,80,84,95,99],"analyse":[51],"their":[52],"between":[54,68,105],"them.":[55],"The":[56],"database":[57],"divided":[59],"into":[60],"groups":[61],"uniformly":[62],"there":[64],"no":[66],"overlap":[67],"training":[69,76,93],"testing":[71],"sets.":[72],"Same":[73],"amount":[74,91],"samples":[77,94],"used":[79],"train":[81],"model":[83],"avoid":[85],"having":[89],"different":[90],"results.":[97],"According":[98],"obtained":[100],"results,":[101],"utilising":[102],"correlation":[104],"provided":[109],"better":[110],"results":[111],"than":[112],"using":[113],"alone.":[117]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
