{"id":"https://openalex.org/W2942089484","doi":"https://doi.org/10.1109/btas.2018.8698583","title":"Mind the Gap: A Practical Framework for Classifiers in a Forensic Context","display_name":"Mind the Gap: A Practical Framework for Classifiers in a Forensic Context","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2942089484","doi":"https://doi.org/10.1109/btas.2018.8698583","mag":"2942089484"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2018.8698583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2018.8698583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ris.utwente.nl/ws/files/114629794/08698583.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032162834","display_name":"Chris Zeinstra","orcid":"https://orcid.org/0000-0002-8245-561X"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Chris Zeinstra","raw_affiliation_strings":["University of Twente, Faculty of EEMCS, DMB Group, P.O. Box 217, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Faculty of EEMCS, DMB Group, P.O. Box 217, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059798411","display_name":"Didier Meuwly","orcid":"https://orcid.org/0000-0002-4829-9086"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Didier Meuwly","raw_affiliation_strings":["University of Twente, Faculty of EEMCS, DMB Group, P.O. Box 217, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Faculty of EEMCS, DMB Group, P.O. Box 217, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031138348","display_name":"Raymond Veldhuis","orcid":"https://orcid.org/0000-0002-0381-5235"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Raymond Veldhuis","raw_affiliation_strings":["University of Twente, Faculty of EEMCS, DMB Group, P.O. Box 217, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Faculty of EEMCS, DMB Group, P.O. Box 217, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105827280","display_name":"Luuk Spreeuwers","orcid":"https://orcid.org/0000-0001-8481-560X"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Luuk Spreeuwers","raw_affiliation_strings":["University of Twente, Faculty of EEMCS, DMB Group, P.O. Box 217, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Faculty of EEMCS, DMB Group, P.O. Box 217, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":0.5412,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65909965,"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":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9994000196456909,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7710229158401489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7506968379020691},{"id":"https://openalex.org/keywords/forensic-science","display_name":"Forensic science","score":0.7038944363594055},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.666539192199707},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.45826253294944763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45113545656204224},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4456002116203308},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4267590045928955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32557666301727295}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7710229158401489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506968379020691},{"id":"https://openalex.org/C140505726","wikidata":"https://www.wikidata.org/wiki/Q495304","display_name":"Forensic science","level":2,"score":0.7038944363594055},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.666539192199707},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.45826253294944763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45113545656204224},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4456002116203308},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4267590045928955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32557666301727295},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/btas.2018.8698583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2018.8698583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/6f20e01a-040a-4c59-b609-b50477bc9eb1","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/6f20e01a-040a-4c59-b609-b50477bc9eb1","pdf_url":"https://ris.utwente.nl/ws/files/114629794/08698583.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ris.utwente.nl:publications/6f20e01a-040a-4c59-b609-b50477bc9eb1","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire/6f20e01a-040a-4c59-b609-b50477bc9eb1","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/6f20e01a-040a-4c59-b609-b50477bc9eb1","pdf_url":"https://ris.utwente.nl/ws/files/114629794/08698583.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942089484.pdf","grobid_xml":"https://content.openalex.org/works/W2942089484.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W88615296","https://openalex.org/W297909767","https://openalex.org/W1523682477","https://openalex.org/W1585383348","https://openalex.org/W1639795441","https://openalex.org/W1796263212","https://openalex.org/W1911456698","https://openalex.org/W1936981920","https://openalex.org/W1993513931","https://openalex.org/W2008076339","https://openalex.org/W2023238506","https://openalex.org/W2055492845","https://openalex.org/W2085388325","https://openalex.org/W2087681821","https://openalex.org/W2092545044","https://openalex.org/W2118020555","https://openalex.org/W2135847672","https://openalex.org/W2144653558","https://openalex.org/W2144991152","https://openalex.org/W2150514752","https://openalex.org/W2152690956","https://openalex.org/W2156665852","https://openalex.org/W2166290812","https://openalex.org/W2185510051","https://openalex.org/W2345079061","https://openalex.org/W2556880357","https://openalex.org/W2572865299","https://openalex.org/W2751855247","https://openalex.org/W4230579564","https://openalex.org/W6603619898","https://openalex.org/W6634847347","https://openalex.org/W6640316281","https://openalex.org/W6704672841"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2062586268","https://openalex.org/W2379932303","https://openalex.org/W4300873085","https://openalex.org/W2019582947","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W3212688212","https://openalex.org/W1524372968"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,124],"present":[4,110],"a":[5,37,64],"practical":[6],"framework":[7,97,115],"that":[8,14],"addresses":[9],"six,":[10],"mostly":[11],"forensic,":[12],"aspects":[13,70],"can":[15,125],"be":[16,61],"considered":[17],"during":[18],"the":[19,27,46,72,76,96,101,114,122],"design":[20,102],"and":[21,54,57,74,79,83,85,91,103,128],"evaluation":[22,35,86,104],"of":[23,29,48,50,52,66,87,95,113],"biometric":[24,77],"classifiers":[25],"for":[26],"purpose":[28],"forensic":[30,41,81,118],"evidence":[31,34,51],"evaluation.":[32],"Forensic":[33],"is":[36,98],"central":[38],"activity":[39],"in":[40,63,131],"case":[42],"work,":[43],"it":[44],"includes":[45],"assessment":[47],"strength":[49],"trace":[53],"reference":[55],"specimens":[56],"its":[58,80],"outcome":[59],"may":[60],"used":[62],"court":[65],"law.":[67],"The":[68,93],"addressed":[69],"consider":[71],"modality":[73],"features,":[75],"score":[78],"use,":[82],"choice":[84],"several":[88],"performance":[89],"characteristics":[90],"metrics.":[92],"aim":[94],"to":[99,117],"make":[100],"choices":[105],"more":[106],"transparent.":[107],"We":[108],"also":[109],"two":[111],"applications":[112],"pertaining":[116],"face":[119],"recognition.":[120],"Using":[121],"framework,":[123],"demonstrate":[126],"large":[127],"explainable":[129],"variations":[130],"discriminating":[132],"power":[133],"between":[134],"subjects.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}