{"id":"https://openalex.org/W4285210797","doi":"https://doi.org/10.1142/s0218213022410020","title":"Machine Learning Methods for Automatic Gender Detection","display_name":"Machine Learning Methods for Automatic Gender Detection","publication_year":2022,"publication_date":"2022-05-01","ids":{"openalex":"https://openalex.org/W4285210797","doi":"https://doi.org/10.1142/s0218213022410020"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213022410020","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022410020","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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/A5047745431","display_name":"Dami\u00e1n Morales S\u00e1nchez","orcid":"https://orcid.org/0000-0001-9297-3552"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Dami\u00e1n Morales S\u00e1nchez","raw_affiliation_strings":["GRLMC, Universitat Rovira i Virgili, Av. Catalunya, 35, Tarragona, 43002, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GRLMC, Universitat Rovira i Virgili, Av. Catalunya, 35, Tarragona, 43002, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770728","display_name":"Antonio Moreno","orcid":"https://orcid.org/0000-0003-3945-2314"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Moreno","raw_affiliation_strings":["ITAKA, Universitat Rovira i Virgili, Av. Pa\u00efsos Catalans 26, Tarragona, 43007, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITAKA, Universitat Rovira i Virgili, Av. Pa\u00efsos Catalans 26, Tarragona, 43007, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079948428","display_name":"M. Dolores Jim\u00e9nez\u2010L\u00f3pez","orcid":null},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Dolores Jim\u00e9nez L\u00f3pez","raw_affiliation_strings":["GRLMC, Universitat Rovira i Virgili, Av. Catalunya, 35, Tarragona, 43002, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GRLMC, Universitat Rovira i Virgili, Av. Catalunya, 35, Tarragona, 43002, Spain","institution_ids":["https://openalex.org/I55952717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55952717"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60001298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9394999742507935,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9394999742507935,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/interpretability","display_name":"Interpretability","score":0.8665533065795898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.845374345779419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7788742780685425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7625370025634766},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.614876925945282},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5759523510932922},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5438767671585083},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4692891538143158},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44429564476013184},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.42940717935562134}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8665533065795898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.845374345779419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7788742780685425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7625370025634766},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.614876925945282},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5759523510932922},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5438767671585083},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4692891538143158},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44429564476013184},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42940717935562134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213022410020","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022410020","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4311431240","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W4383681494"],"abstract_inverted_index":{"Automatic":[0],"gender":[1,20,61,86,113],"detection":[2,21],"has":[3,22,55],"attracted":[4],"the":[5,67,98,101,108],"attention":[6],"of":[7,69,100],"many":[8],"research":[9],"fields":[10],"such":[11,37,77],"as":[12,25,38,78],"forensic":[13],"linguistics":[14],"or":[15],"marketing.":[16],"Within":[17],"these":[18],"areas,":[19],"been":[23,50,83],"approached":[24],"a":[26,57,95],"classification":[27],"problem":[28],"and,":[29],"for":[30,85],"this":[31,104],"reason,":[32],"supervised":[33],"Machine":[34],"Learning":[35,71,90],"algorithms":[36],"Na\u00efve":[39],"Bayes,":[40],"Logistic":[41],"Regression":[42],"and":[43],"Support":[44],"Vector":[45],"Machines,":[46],"among":[47],"others,":[48],"have":[49,82,92],"employed.":[51],"The":[52],"latter":[53],"algorithm":[54],"exhibited":[56],"better":[58],"performance":[59],"on":[60,112],"detection.":[62,87,114],"In":[63,103],"recent":[64],"years,":[65],"with":[66],"development":[68],"Deep":[70,89],"methods,":[72],"various":[73],"neural":[74],"networks":[75],"structures":[76],"Convolutional":[79],"Neural":[80],"Networks":[81],"designed":[84],"However,":[88],"methods":[91],"led":[93],"to":[94],"loss":[96],"in":[97],"interpretability":[99],"models.":[102],"article,":[105],"we":[106],"review":[107],"AI":[109],"techniques":[110],"applied":[111]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}