{"id":"https://openalex.org/W3092640921","doi":"https://doi.org/10.1109/sisy50555.2020.9217095","title":"Investigation of an Innovative Approach for Identifying Human Face-Profile Using Explainable Artificial Intelligence","display_name":"Investigation of an Innovative Approach for Identifying Human Face-Profile Using Explainable Artificial Intelligence","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3092640921","doi":"https://doi.org/10.1109/sisy50555.2020.9217095","mag":"3092640921"},"language":"en","primary_location":{"id":"doi:10.1109/sisy50555.2020.9217095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sisy50555.2020.9217095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Symposium on Intelligent Systems and Informatics (SISY)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/149469/2/Binder2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084336105","display_name":"Nikhil Sarathy","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nikhil Sarathy","raw_affiliation_strings":["FEIT, SEDE, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FEIT, SEDE, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012157612","display_name":"Mohammad Alsawwaf","orcid":"https://orcid.org/0000-0003-0359-9808"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I76571253","display_name":"Imam Abdulrahman Bin Faisal University","ror":"https://ror.org/038cy8j79","country_code":"SA","type":"education","lineage":["https://openalex.org/I76571253"]}],"countries":["AU","SA"],"is_corresponding":false,"raw_author_name":"Mohammad Alsawwaf","raw_affiliation_strings":["College of CS & IT, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia","FEIT, SEDE, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of CS & IT, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia","institution_ids":["https://openalex.org/I76571253"]},{"raw_affiliation_string":"FEIT, SEDE, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016675373","display_name":"Zenon Chaczko","orcid":"https://orcid.org/0000-0002-2816-7510"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zenon Chaczko","raw_affiliation_strings":["FEIT, SEDE, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FEIT, SEDE, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3916,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62687407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"155","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9936000108718872,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.983299970626831,"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/face","display_name":"Face (sociological concept)","score":0.752139687538147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.743777871131897},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7284358143806458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7130608558654785},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.663702130317688},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.581743597984314},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.578632116317749},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5728949904441833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.544098436832428},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5353417992591858},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5019235610961914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3971186876296997},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34793275594711304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15697738528251648}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.752139687538147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743777871131897},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7284358143806458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7130608558654785},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.663702130317688},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.581743597984314},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.578632116317749},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5728949904441833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.544098436832428},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5353417992591858},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5019235610961914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3971186876296997},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34793275594711304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15697738528251648},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sisy50555.2020.9217095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sisy50555.2020.9217095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Symposium on Intelligent Systems and Informatics (SISY)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/149469","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/149469","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/149469/2/Binder2.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/149469","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/149469","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/149469/2/Binder2.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3092640921.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W2003118627","https://openalex.org/W2065429801","https://openalex.org/W2084964113","https://openalex.org/W2123619251","https://openalex.org/W2127770870","https://openalex.org/W2151816796","https://openalex.org/W2165019583","https://openalex.org/W2559791628","https://openalex.org/W2606181163","https://openalex.org/W2744972750","https://openalex.org/W2755506759","https://openalex.org/W2799930024","https://openalex.org/W2942265585","https://openalex.org/W2963150697","https://openalex.org/W3010040303","https://openalex.org/W3010281715","https://openalex.org/W3122663073","https://openalex.org/W6743979669","https://openalex.org/W6761981288"],"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/W2211301776","https://openalex.org/W1995418324","https://openalex.org/W2060905804","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Human":[0],"identification":[1,54,63],"is":[2,153],"a":[3,40,123,138],"well-researched":[4],"topic":[5],"that":[6,22,127],"keeps":[7],"evolving.":[8],"Advancement":[9],"in":[10],"technology":[11],"has":[12],"made":[13],"it":[14,36],"easy":[15],"to":[16,27,38,50,101],"train":[17],"models":[18],"or":[19],"use":[20,97],"ones":[21],"have":[23,137],"been":[24],"already":[25],"created":[26],"detect":[28],"several":[29],"features":[30,73],"of":[31,98,109,149,177],"the":[32,44,52,60,71,76,96,107,128,150],"human":[33,41,61],"face.":[34],"When":[35],"comes":[37],"identifying":[39],"face":[42,62,143],"from":[43,118],"side,":[45],"there":[46],"are":[47,87],"many":[48],"opportunities":[49],"advance":[51],"biometric":[53],"research":[55,105],"further.":[56],"This":[57,104],"paper":[58],"investigates":[59],"based":[64,121],"on":[65,122,141],"their":[66],"side":[67],"profile":[68],"by":[69],"extracting":[70],"facial":[72],"and":[74,166],"diagnosing":[75],"feature":[77,90],"sets":[78],"with":[79],"geometric":[80,84],"ratio":[81,85],"expressions.":[82],"These":[83],"expressions":[86],"computed":[88],"into":[89],"vectors.":[91],"The":[92],"last":[93],"stage":[94],"involves":[95],"weighted":[99],"means":[100],"measure":[102],"similarity.":[103],"addresses":[106],"problem":[108],"using":[110,155],"an":[111,173],"eXplainable":[112],"Artificial":[113],"Intelligence":[114],"(XAI)":[115],"approach.":[116],"Findings":[117],"this":[119],"research,":[120],"small":[124],"data-set,":[125],"conclude":[126],"used":[129],"approach":[130],"offers":[131],"encouraging":[132],"results.":[133],"Further":[134],"investigation":[135],"could":[136],"significant":[139],"impact":[140],"how":[142],"profiles":[144],"can":[145],"be":[146],"identified.":[147],"Performance":[148],"proposed":[151],"system":[152],"validated":[154],"metrics":[156],"such":[157],"as":[158],"Precision,":[159],"False":[160,163],"Acceptance":[161],"Rate,":[162],"Rejection":[164],"Rate":[165,176],"True":[167],"Positive":[168],"Rate.":[169],"Multiple":[170],"simulations":[171],"indicate":[172],"Equal":[174],"Error":[175],"0.89.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}