{"id":"https://openalex.org/W4410550521","doi":"https://doi.org/10.1007/s41060-025-00793-0","title":"FairML: a Julia package for fair classification","display_name":"FairML: a Julia package for fair classification","publication_year":2025,"publication_date":"2025-05-21","ids":{"openalex":"https://openalex.org/W4410550521","doi":"https://doi.org/10.1007/s41060-025-00793-0"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-025-00793-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-025-00793-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-025-00793-0.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s41060-025-00793-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069909932","display_name":"Jan Pablo Burgard","orcid":"https://orcid.org/0000-0002-5771-6179"},"institutions":[{"id":"https://openalex.org/I137932638","display_name":"Trier University of Applied Sciences","ror":"https://ror.org/02e3hdx05","country_code":"DE","type":"education","lineage":["https://openalex.org/I137932638"]},{"id":"https://openalex.org/I89864525","display_name":"Universit\u00e4t Trier","ror":"https://ror.org/02778hg05","country_code":"DE","type":"education","lineage":["https://openalex.org/I89864525"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jan Pablo Burgard","raw_affiliation_strings":["Economic and Social Statistics Department, Trier University, Universit\u00e4tsring 15, 54296, Trier, Rheinland-Pfalz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5771-6179","affiliations":[{"raw_affiliation_string":"Economic and Social Statistics Department, Trier University, Universit\u00e4tsring 15, 54296, Trier, Rheinland-Pfalz, Germany","institution_ids":["https://openalex.org/I89864525","https://openalex.org/I137932638"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098672703","display_name":"Jo\u00e3o Vitor Pamplona","orcid":"https://orcid.org/0009-0002-5862-3465"},"institutions":[{"id":"https://openalex.org/I137932638","display_name":"Trier University of Applied Sciences","ror":"https://ror.org/02e3hdx05","country_code":"DE","type":"education","lineage":["https://openalex.org/I137932638"]},{"id":"https://openalex.org/I89864525","display_name":"Universit\u00e4t Trier","ror":"https://ror.org/02778hg05","country_code":"DE","type":"education","lineage":["https://openalex.org/I89864525"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Vitor Pamplona","raw_affiliation_strings":["Economic and Social Statistics Department, Trier University, Universit\u00e4tsring 15, 54296, Trier, Rheinland-Pfalz, Germany"],"raw_orcid":"https://orcid.org/0009-0002-5862-3465","affiliations":[{"raw_affiliation_string":"Economic and Social Statistics Department, Trier University, Universit\u00e4tsring 15, 54296, Trier, Rheinland-Pfalz, Germany","institution_ids":["https://openalex.org/I89864525","https://openalex.org/I137932638"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069909932"],"corresponding_institution_ids":["https://openalex.org/I137932638","https://openalex.org/I89864525"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.0379,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86916618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"20","issue":"6","first_page":"5703","last_page":"5718"},"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":0.9951000213623047,"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":0.9951000213623047,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.4058106541633606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4058106541633606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41060-025-00793-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-025-00793-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-025-00793-0.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s41060-025-00793-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-025-00793-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-025-00793-0.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318419","display_name":"Universit\u00e4t Trier","ror":"https://ror.org/02778hg05"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410550521.pdf","grobid_xml":"https://content.openalex.org/works/W4410550521.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1989058124","https://openalex.org/W2007178835","https://openalex.org/W2008056655","https://openalex.org/W2045529572","https://openalex.org/W2090075367","https://openalex.org/W2103212156","https://openalex.org/W2123871098","https://openalex.org/W2135805755","https://openalex.org/W2137195266","https://openalex.org/W2290611977","https://openalex.org/W2805069672","https://openalex.org/W2904239671","https://openalex.org/W2964279026","https://openalex.org/W3021503072","https://openalex.org/W3085638346","https://openalex.org/W3157527512","https://openalex.org/W3163715127","https://openalex.org/W3182172753","https://openalex.org/W4289258088","https://openalex.org/W4300895248","https://openalex.org/W4320736487","https://openalex.org/W4379162539","https://openalex.org/W4386990120","https://openalex.org/W6606630924","https://openalex.org/W6630657918","https://openalex.org/W6912178084"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Abstract":[0],"In":[1,18,104],"this":[2,19,85],"paper,":[3],"we":[4,51,87,107,120],"propose":[5],",":[6],"a":[7,10,53,68,81,97],"package":[8],"providing":[9],"framework":[11],"for":[12,115],"fair":[13,22,89,116],"classification":[14,69],"in":[15,43],"machine":[16],"learning.":[17],"framework,":[20],"the":[21,44,48,78,105,109,112,122,125],"learning":[23],"process":[24],"is":[25],"divided":[26],"into":[27],"three":[28],"stages.":[29],"Each":[30],"stage":[31],"aims":[32],"to":[33,96],"reduce":[34],"unfairness,":[35],"such":[36],"as":[37],"disparate":[38,41],"impact":[39],"and":[40,128],"mistreatment,":[42],"final":[45],"prediction.":[46,117],"For":[47,84],"pre-processing":[49],"stage,":[50],"present":[52],"resampling":[54],"method":[55],"that":[56,92],"addresses":[57],"unfairness":[58,95],"coming":[59,76],"from":[60,77],"data":[61],"imbalances.":[62],"The":[63],"in-processing":[64],"phase":[65],"consists":[66],"of":[67,111,124],"method.":[70],"This":[71],"can":[72,93],"be":[73],"either":[74],"one":[75],"package,":[79],"or":[80],"user-defined":[82],"one.":[83],"phase,":[86],"incorporate":[88],"ML":[90],"methods":[91],"handle":[94],"certain":[98],"degree":[99],"through":[100],"their":[101,129],"optimization":[102],"process.":[103],"post-processing,":[106],"discuss":[108],"choice":[110],"cutoff":[113],"value":[114],"With":[118],"simulations,":[119],"show":[121],"performance":[123],"single":[126],"phases":[127],"combinations.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
