{"id":"https://openalex.org/W2423050359","doi":"https://doi.org/10.1109/siu.2016.7495858","title":"Exploring gender prediction from digital handwriting","display_name":"Exploring gender prediction from digital handwriting","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2423050359","doi":"https://doi.org/10.1109/siu.2016.7495858","mag":"2423050359"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2016.7495858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","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/A5089055023","display_name":"Meryem Erbilek","orcid":"https://orcid.org/0000-0001-6040-7222"},"institutions":[{"id":"https://openalex.org/I16197041","display_name":"Cyprus International University","ror":"https://ror.org/04mk5mk38","country_code":"CY","type":"education","lineage":["https://openalex.org/I16197041"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Meryem Erbilek","raw_affiliation_strings":["Computer Engineering Department, Cyprus International University Haspolat, Nicosia"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Cyprus International University Haspolat, Nicosia","institution_ids":["https://openalex.org/I16197041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108507324","display_name":"Michael Fairhurst","orcid":null},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Fairhurst","raw_affiliation_strings":["School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100354225","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0001-6110-8099"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089055023"],"corresponding_institution_ids":["https://openalex.org/I16197041"],"apc_list":null,"apc_paid":null,"fwci":0.668,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76493195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"789","last_page":"792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991000294685364,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991000294685364,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9944999814033508,"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/handwriting","display_name":"Handwriting","score":0.9488546848297119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7621091604232788},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5477374196052551},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5252246856689453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45651933550834656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3892884850502014},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3872693181037903},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34835541248321533},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34289121627807617},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33651116490364075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0777851939201355}],"concepts":[{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.9488546848297119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621091604232788},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5477374196052551},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5252246856689453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45651933550834656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3892884850502014},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3872693181037903},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34835541248321533},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34289121627807617},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33651116490364075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0777851939201355},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2016.7495858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"},{"score":0.4099999964237213,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1511652237","https://openalex.org/W1606323814","https://openalex.org/W1981855331","https://openalex.org/W2007317883","https://openalex.org/W2009560607","https://openalex.org/W2025021996","https://openalex.org/W2028259636","https://openalex.org/W2039269157","https://openalex.org/W2057942552","https://openalex.org/W2100755159","https://openalex.org/W2105202313","https://openalex.org/W2105881518","https://openalex.org/W2117489990","https://openalex.org/W2118759301","https://openalex.org/W2126369935","https://openalex.org/W2171649812","https://openalex.org/W2248742568","https://openalex.org/W2603027048","https://openalex.org/W2753552973","https://openalex.org/W4249797471","https://openalex.org/W6736014273","https://openalex.org/W6743978291"],"related_works":["https://openalex.org/W2388180914","https://openalex.org/W2063708026","https://openalex.org/W2507888814","https://openalex.org/W3118925046","https://openalex.org/W2381764175","https://openalex.org/W2561540377","https://openalex.org/W2360066868","https://openalex.org/W3084909207","https://openalex.org/W1694630026","https://openalex.org/W3166464480"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"an":[3],"empirical":[4],"investigation":[5],"which":[6],"directly":[7],"addresses":[8],"and":[9,28,40,54],"explores":[10],"gender":[11,58],"prediction":[12,59],"capacity":[13],"from":[14,18,60],"digitised":[15],"handwriting":[16,62],"data":[17],"several":[19],"different":[20],"perspectives":[21],"-":[22,32],"such":[23],"as":[24],"feature":[25],"type":[26],"(static/dynamic)":[27],"content":[29],"(fixed/variable)":[30],"types":[31],"in":[33],"order":[34],"to":[35,42],"provide":[36],"extensive":[37],"experimental":[38],"evidence":[39],"analysis":[41],"guide":[43],"the":[44,51],"development":[45],"of":[46,50,57],"a":[47],"better":[48],"understanding":[49],"opportunities":[52],"for":[53],"practical":[55],"consequences":[56],"digital":[61],"data.":[63]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}