{"id":"https://openalex.org/W4212980275","doi":"https://doi.org/10.1145/3503823.3503858","title":"Towards Discrimination-Free Classification via Fairness-Aware Bagging","display_name":"Towards Discrimination-Free Classification via Fairness-Aware Bagging","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4212980275","doi":"https://doi.org/10.1145/3503823.3503858"},"language":"en","primary_location":{"id":"doi:10.1145/3503823.3503858","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503823.3503858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"25th Pan-Hellenic Conference on Informatics","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/A5029787833","display_name":"Panagiotis Papagiannopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Panagiotis Papagiannopoulos","raw_affiliation_strings":["Code4Thought, Greece and Department of Computer Engineering and Informatics, University of Patras, Greece"],"affiliations":[{"raw_affiliation_string":"Code4Thought, Greece and Department of Computer Engineering and Informatics, University of Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022254764","display_name":"Christos K. Aridas","orcid":"https://orcid.org/0000-0002-5021-1442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christos Aridas","raw_affiliation_strings":["Code4Thought, Greece"],"affiliations":[{"raw_affiliation_string":"Code4Thought, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043102098","display_name":"Yiannis Kanellopoulos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiannis Kanellopoulos","raw_affiliation_strings":["Code4Thought, Greece"],"affiliations":[{"raw_affiliation_string":"Code4Thought, Greece","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087360505","display_name":"Christos Makris","orcid":"https://orcid.org/0000-0003-2571-7449"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Makris","raw_affiliation_strings":["Department of Computer Engineering and Informatics, University of Patras, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Informatics, University of Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029787833"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29954728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"184","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9381999969482422,"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/computer-science","display_name":"Computer science","score":0.7850468158721924},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7654427289962769},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7170387506484985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6651686429977417},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.6644537448883057},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6412503719329834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5905041098594666},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4824236333370209},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1639561951160431},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11044967174530029}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850468158721924},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7654427289962769},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7170387506484985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6651686429977417},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6644537448883057},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6412503719329834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5905041098594666},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4824236333370209},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1639561951160431},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11044967174530029},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503823.3503858","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503823.3503858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"25th Pan-Hellenic Conference on Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2097246321","https://openalex.org/W2116666691","https://openalex.org/W2116984840","https://openalex.org/W2157928966","https://openalex.org/W2158698691","https://openalex.org/W2342249984","https://openalex.org/W2911765495","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2963116854","https://openalex.org/W2963662115","https://openalex.org/W2997591727","https://openalex.org/W2998768810","https://openalex.org/W3035965352","https://openalex.org/W3099878876","https://openalex.org/W6695006161"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W2052515325","https://openalex.org/W4391100477","https://openalex.org/W2402189625","https://openalex.org/W4327779705","https://openalex.org/W4310560702","https://openalex.org/W1513698804"],"abstract_inverted_index":{"One":[0],"of":[1,24,38,50,60,76,96,110,148],"the":[2,51,61,73,94,129,140],"most":[3,49],"common":[4,116],"and":[5,112],"difficult":[6],"problems":[7],"to":[8,66],"tackle":[9],"is":[10,65],"Bias":[11],"or":[12,82,134],"Discrimination":[13,27,47],"in":[14,21,28,31,108,146],"Machine":[15],"Learning,":[16],"which":[17],"affects":[18],"many":[19],"people":[20],"a":[22,77],"plethora":[23],"ways":[25],"(e.g.":[26],"facial":[29],"recognition,":[30],"judicial":[32],"cases,":[33],"etc).":[34],"A":[35],"satisfying":[36],"number":[37],"methods":[39],"has":[40,105],"been":[41,106],"published":[42],"that":[43,70,128],"can":[44,89],"mitigate":[45],"group":[46],"but":[48],"times,":[52],"Accuracy":[53,111],"suffers":[54],"from":[55],"significant":[56],"reduction.":[57],"The":[58,102,124],"aim":[59],"work":[62],"at":[63],"hand":[64],"propose":[67],"an":[68],"approach":[69],"will":[71],"improve":[72],"Fairness":[74],"performance":[75,138],"given":[78],"algorithm":[79],"while":[80,99,142],"retaining":[81],"even":[83,135],"increasing":[84],"its":[85],"predictive":[86,137],"performance.":[87],"That":[88],"be":[90],"achieved":[91],"by":[92],"leveraging":[93],"randomness":[95],"Resampling":[97],"method":[98,104,131],"implementing":[100],"Bagging.":[101],"proposed":[103,130],"validated,":[107],"terms":[109,147],"Fairness,":[113],"on":[114],"three":[115],"benchmark":[117],"datasets":[118],"against":[119],"other":[120],"discrimination":[121],"mitigation":[122],"strategies.":[123],"empirical":[125],"results":[126],"indicate":[127],"achieves":[132],"comparable":[133],"better":[136],"with":[139],"baseline":[141],"it":[143,145],"outperforms":[144],"Fairness.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
