{"id":"https://openalex.org/W2607750223","doi":"https://doi.org/10.1109/icpr.2016.7899605","title":"Multimodal fusion of audio, scene, and face features for first impression estimation","display_name":"Multimodal fusion of audio, scene, and face features for first impression estimation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2607750223","doi":"https://doi.org/10.1109/icpr.2016.7899605","mag":"2607750223"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5023346445","display_name":"Furkan G\u00fcrp\u0131nar","orcid":"https://orcid.org/0000-0001-8270-9969"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Furkan Gurpinar","raw_affiliation_strings":["Program of Computational Science and Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Program of Computational Science and Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050585145","display_name":"Heysem Kaya","orcid":"https://orcid.org/0000-0001-7947-5508"},"institutions":[{"id":"https://openalex.org/I125454184","display_name":"Nam\u0131k Kemal University","ror":"https://ror.org/01a0mk874","country_code":"TR","type":"education","lineage":["https://openalex.org/I125454184"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Heysem Kaya","raw_affiliation_strings":["Namik Kemal Universitesi, Tekirdag, TR"],"affiliations":[{"raw_affiliation_string":"Namik Kemal Universitesi, Tekirdag, TR","institution_ids":["https://openalex.org/I125454184"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105769246","display_name":"Albert Ali Salah","orcid":"https://orcid.org/0000-0001-6342-428X"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Albert Ali Salah","raw_affiliation_strings":["Department of Computer Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023346445"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":5.7455,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.95857036,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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/T11448","display_name":"Face recognition and analysis","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.6967397332191467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6836340427398682},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6114157438278198},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.5716428160667419},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5361224412918091},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.521143913269043},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.5199602842330933},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5183500051498413},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4588066339492798},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.45819219946861267},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4245074987411499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37640663981437683},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3564775288105011},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21356290578842163},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08809271454811096},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07645437121391296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967397332191467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6836340427398682},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6114157438278198},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.5716428160667419},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5361224412918091},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.521143913269043},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.5199602842330933},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5183500051498413},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4588066339492798},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.45819219946861267},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4245074987411499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37640663981437683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3564775288105011},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21356290578842163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08809271454811096},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07645437121391296},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W55356581","https://openalex.org/W147964346","https://openalex.org/W1501506202","https://openalex.org/W1501669607","https://openalex.org/W1686810756","https://openalex.org/W1964597636","https://openalex.org/W1970723433","https://openalex.org/W1989538527","https://openalex.org/W2022074610","https://openalex.org/W2026131661","https://openalex.org/W2040612739","https://openalex.org/W2041616772","https://openalex.org/W2051895218","https://openalex.org/W2059371522","https://openalex.org/W2085662862","https://openalex.org/W2134603844","https://openalex.org/W2144005487","https://openalex.org/W2157285372","https://openalex.org/W2245421092","https://openalex.org/W2275596573","https://openalex.org/W2298393688","https://openalex.org/W2325939864","https://openalex.org/W2344338892","https://openalex.org/W2411161539","https://openalex.org/W2483369080","https://openalex.org/W2522578306","https://openalex.org/W2548717229","https://openalex.org/W2573228361","https://openalex.org/W2573933330","https://openalex.org/W2574753167","https://openalex.org/W2744909235","https://openalex.org/W2993129827","https://openalex.org/W3104974011","https://openalex.org/W6661087397","https://openalex.org/W6679935922","https://openalex.org/W6681409903","https://openalex.org/W6694398157","https://openalex.org/W6700903540","https://openalex.org/W6704493439","https://openalex.org/W6729849083","https://openalex.org/W6731977065"],"related_works":["https://openalex.org/W2327021330","https://openalex.org/W2397440126","https://openalex.org/W2316594088","https://openalex.org/W2409084359","https://openalex.org/W68571419","https://openalex.org/W1976986774","https://openalex.org/W2317327847","https://openalex.org/W2989908193","https://openalex.org/W2321292392","https://openalex.org/W2418778636"],"abstract_inverted_index":{"Affective":[0],"computing,":[1],"particularly":[2],"emotion":[3,19,61],"and":[4,20,39,62,84,105],"personality":[5,21,135],"trait":[6],"recognition,":[7],"is":[8,112],"of":[9,18,128],"increasing":[10],"interest":[11],"in":[12,24],"many":[13],"research":[14],"disciplines.":[15],"The":[16,109],"interplay":[17],"shows":[22],"itself":[23],"the":[25,33,37,42,89,115,123,132],"first":[26],"impression":[27],"left":[28],"on":[29,118],"other":[30],"people.":[31],"Moreover,":[32],"ambient":[34,63],"information,":[35],"e.g.":[36],"environment":[38],"objects":[40],"surrounding":[41],"subject,":[43],"also":[44,72],"affect":[45],"these":[46],"impressions.":[47],"In":[48],"this":[49],"work,":[50],"we":[51],"employ":[52],"pre-trained":[53],"Deep":[54],"Convolutional":[55],"Neural":[56],"Networks":[57],"to":[58,114],"extract":[59],"facial":[60],"information":[64],"from":[65,78],"images":[66],"for":[67],"predicting":[68],"apparent":[69],"personality.":[70],"We":[71,94],"investigate":[73],"Local":[74],"Gabor":[75],"Binary":[76],"Patterns":[77],"Three":[79],"Orthogonal":[80],"Planes":[81],"video":[82],"descriptor":[83],"acoustic":[85],"features":[86,98],"extracted":[87],"via":[88],"popularly":[90],"used":[91],"openSMILE":[92],"tool.":[93],"subsequently":[95],"propose":[96],"classifying":[97],"using":[99],"a":[100],"Kernel":[101],"Extreme":[102],"Learning":[103],"Machine":[104],"fusing":[106],"their":[107],"predictions.":[108],"proposed":[110],"system":[111],"applied":[113],"ChaLearn":[116],"Challenge":[117],"First":[119],"Impression":[120],"Recognition,":[121],"achieving":[122],"winning":[124],"test":[125],"set":[126],"accuracy":[127],"0.913,":[129],"averaged":[130],"over":[131],"\u201cBig":[133],"Five\u201d":[134],"traits.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
