{"id":"https://openalex.org/W7140271791","doi":"https://doi.org/10.48550/arxiv.2603.23003","title":"On the use of Aggregation Operators to improve Human Identification using Dental Records","display_name":"On the use of Aggregation Operators to improve Human Identification using Dental Records","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7140271791","doi":"https://doi.org/10.48550/arxiv.2603.23003"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.23003","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23003","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.23003","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130545790","display_name":"Antonio D. Villegas-Yeguas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Villegas-Yeguas, Antonio D.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119475113","display_name":"Guillermo R-Garc\u00eda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R-Garc\u00eda, Guillermo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003352824","display_name":"Tzipi Kahana","orcid":"https://orcid.org/0000-0003-2845-8593"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kahana, Tzipi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130573822","display_name":"Jorge Pinares Toledo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toledo, Jorge Pinares","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054801253","display_name":"Esi Sharon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharon, Esi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130004334","display_name":"\u00d3scar Ib\u00e1\u00f1ez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iba\u00f1ez, Oscar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004148014","display_name":"\u00d3scar Cord\u00f3n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cord\u00f3n, Oscar","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5130545790"],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.030700000002980232,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10751","display_name":"Forensic and Genetic Research","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9025999903678894},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6568999886512756},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6208999752998352},{"id":"https://openalex.org/keywords/lexicographical-order","display_name":"Lexicographical order","score":0.5640000104904175},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.41830000281333923},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.36340001225471497}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9025999903678894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152000069618225},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6568999886512756},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6208999752998352},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.590499997138977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5899999737739563},{"id":"https://openalex.org/C159254197","wikidata":"https://www.wikidata.org/wiki/Q1144915","display_name":"Lexicographical order","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339999794960022},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.36340001225471497},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.2987000048160553},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2662000060081482},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.23003","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23003","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.23003","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23003","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.4772135019302368,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,159],"comparison":[1,26],"of":[2,18,47,55,73,87,125,166,188,196],"dental":[3,88],"records":[4,89],"is":[5,27,66],"a":[6,28,39,60],"standardized":[7],"technique":[8],"in":[9,20],"forensic":[10,150],"dentistry":[11],"used":[12,36],"to":[13,30,37,70,79,83,178,182],"speed":[14],"up":[15],"the":[16,24,52,56,71,99,111,123,164,184,192,197],"identification":[17],"individuals":[19],"multiple-comparison":[21],"scenarios.":[22],"Specifically,":[23],"odontogram":[25],"procedure":[29],"compute":[31],"criteria":[32],"that":[33,90],"will":[34],"be":[35,92],"perform":[38],"ranking.":[40],"State-of-the-art":[41],"automatic":[42],"methods":[43,136],"either":[44],"make":[45],"use":[46,165],"simple":[48],"techniques,":[49],"without":[50,190],"utilizing":[51],"full":[53],"potential":[54],"information":[57],"obtained":[58,161],"from":[59,152,176],"comparison,":[61],"or":[62],"their":[63],"internal":[64],"behavior":[65],"not":[67],"known":[68],"due":[69],"lack":[72],"peer-reviewed":[74],"publications.":[75],"This":[76],"work":[77],"aims":[78],"design":[80],"aggregation":[81,108,135,143,172],"mechanisms":[82],"automatically":[84],"compare":[85],"pairs":[86],"can":[91],"understood":[93],"and":[94,137,194],"validated":[95],"by":[96],"experts,":[97],"improving":[98],"current":[100],"methods.":[101],"To":[102,145],"do":[103],"so,":[104],"we":[105,121],"introduce":[106],"different":[107,117,154],"approaches":[109],"using":[110],"state-of-the-art":[112,185],"codification,":[113],"based":[114],"on":[115],"seven":[116],"criteria.":[118],"In":[119],"particular,":[120],"study":[122],"performance":[124],"i)":[126],"data-driven":[127],"lexicographical":[128],"order-based":[129],"aggregations,":[130],"ii)":[131],"well-known":[132],"fuzzy":[133],"logic":[134],"iii)":[138],"machine":[139,168],"learning":[140,169],"techniques":[141,170],"as":[142,171],"mechanisms.":[144],"validate":[146],"our":[147],"proposals,":[148],"215":[149],"cases":[151],"two":[153],"populations":[155],"have":[156],"been":[157],"used.":[158],"results":[160],"show":[162],"how":[163],"white-box":[167],"models":[173],"(average":[174,186],"ranking":[175,187],"2.02":[177],"2.21)":[179],"are":[180],"able":[181],"improve":[183],"3.91)":[189],"compromising":[191],"explainability":[193],"interpretability":[195],"method.":[198]},"counts_by_year":[],"updated_date":"2026-03-26T06:10:45.909354","created_date":"2026-03-26T00:00:00"}