{"id":"https://openalex.org/W4402856308","doi":"https://doi.org/10.48550/arxiv.2407.14210","title":"Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based\n Undersampling Method for Bias Reduction","display_name":"Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based\n Undersampling Method for Bias Reduction","publication_year":2024,"publication_date":"2024-07-19","ids":{"openalex":"https://openalex.org/W4402856308","doi":"https://doi.org/10.48550/arxiv.2407.14210"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.14210","pdf_url":"http://arxiv.org/pdf/2407.14210","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2407.14210","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026926139","display_name":"Jos\u00e9 Daniel Pascual-Triana","orcid":"https://orcid.org/0000-0003-4106-3182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pascual-Triana, Jos\u00e9 Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107410873","display_name":"Alberto Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-1241-1646"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fern\u00e1ndez, Alberto","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048119697","display_name":"Paulo Nov\u00e1is","orcid":"https://orcid.org/0000-0002-3549-0754"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Novais, Paulo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5045016749","display_name":"Francisco Herrera","orcid":"https://orcid.org/0000-0002-7283-312X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herrera, Francisco","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":77},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9648,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9648,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/morphology","display_name":"Morphology","score":0.42854026}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9258213},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5926742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48831436},{"id":"https://openalex.org/C499950583","wikidata":"https://www.wikidata.org/wiki/Q183252","display_name":"Morphology (biology)","level":2,"score":0.42854026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42642656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42572623},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40440154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26069337},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19889954},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1259849},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.083983034}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.14210","pdf_url":"http://arxiv.org/pdf/2407.14210","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.14210","pdf_url":"http://arxiv.org/pdf/2407.14210","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389292014","https://openalex.org/W4249381695","https://openalex.org/W2887783772","https://openalex.org/W2534887053","https://openalex.org/W2394059563","https://openalex.org/W2352590024","https://openalex.org/W2109073422","https://openalex.org/W2101754595","https://openalex.org/W2080076470","https://openalex.org/W2026172757"],"abstract_inverted_index":{"Given":[0],"the":[1,12,90,99,102,105,124,128,134,147,156,160,164,174,186,195],"magnitude":[2],"of":[3,14,83,116,127,136,155,159,167],"data":[4,21,47,125,130],"generation":[5],"currently,":[6],"both":[7],"in":[8,40,45,51,89,146],"quantity":[9],"and":[10,58,85,138,170,180],"speed,":[11],"use":[13],"machine":[15],"learning":[16,82],"is":[17,38,95],"increasingly":[18],"important.":[19],"When":[20,92],"include":[22],"protected":[23,86,139],"features":[24],"that":[25,122,185],"might":[26],"give":[27],"rise":[28],"to":[29,60,71,98,142,172],"discrimination,":[30],"special":[31],"care":[32],"must":[33],"be":[34,49,108],"taken.":[35],"Data":[36],"quality":[37],"critical":[39],"these":[41],"cases,":[42],"as":[43,163],"biases":[44],"training":[46],"can":[48,79],"reflected":[50],"classification":[52],"models.":[53],"This":[54,110],"has":[55],"devastating":[56],"consequences":[57],"fails":[59],"comply":[61],"with":[62,191],"current":[63],"regulations.":[64],"Data-Centric":[65],"Artificial":[66],"Intelligence":[67],"proposes":[68,112],"dataset":[69],"modifications":[70],"improve":[72],"its":[73],"quality.":[74],"Instance":[75],"selection":[76],"via":[77],"undersampling":[78,94,120,145,179],"foster":[80],"balanced":[81],"classes":[84,137],"feature":[87,140],"values":[88],"classifier.":[91],"such":[93,162],"done":[96],"close":[97],"decision":[100],"boundary,":[101],"effect":[103],"on":[104,194],"classifier":[106],"would":[107],"bolstered.":[109],"work":[111],"Fair":[113],"Overlap":[114],"Number":[115],"Balls":[117],"(Fair-ONB),":[118],"an":[119],"method":[121,188],"harnesses":[123],"morphology":[126],"different":[129],"groups":[131],"(obtained":[132],"from":[133],"combination":[135],"values)":[141],"perform":[143],"guided":[144],"areas":[148,177],"where":[149],"they":[150],"overlap.":[151],"It":[152],"employs":[153],"attributes":[154],"ball":[157],"coverage":[158],"groups,":[161],"radius,":[165],"number":[166],"covered":[168],"instances":[169],"density,":[171],"select":[173],"most":[175],"suitable":[176],"for":[178],"reduce":[181],"bias.":[182],"Results":[183],"show":[184],"Fair-ONB":[187],"reduces":[189],"bias":[190],"low":[192],"impact":[193],"classifier's":[196],"predictive":[197],"performance.":[198]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4402856308","counts_by_year":[],"updated_date":"2025-04-23T22:10:08.961954","created_date":"2024-09-26"}