{"id":"https://openalex.org/W4206635431","doi":"https://doi.org/10.1109/bigdata52589.2021.9671677","title":"Improving Algorithmic Decision\u2013Making in the Presence of Untrustworthy Training Data","display_name":"Improving Algorithmic Decision\u2013Making in the Presence of Untrustworthy Training Data","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4206635431","doi":"https://doi.org/10.1109/bigdata52589.2021.9671677"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671677","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031483487","display_name":"Wenting Qi","orcid":"https://orcid.org/0000-0002-5931-9855"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenting Qi","raw_affiliation_strings":["University at Albany, SUNY,Department of Computer Science,Albany,New York,USA","Department of Computer Science, University at Albany, SUNY, Albany, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany, SUNY,Department of Computer Science,Albany,New York,USA","institution_ids":["https://openalex.org/I392282"]},{"raw_affiliation_string":"Department of Computer Science, University at Albany, SUNY, Albany, New York, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021442429","display_name":"Charalampos Chelmis","orcid":"https://orcid.org/0000-0002-5920-1451"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charalampos Chelmis","raw_affiliation_strings":["University at Albany, SUNY,Department of Computer Science,Albany,New York,USA","Department of Computer Science, University at Albany, SUNY, Albany, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany, SUNY,Department of Computer Science,Albany,New York,USA","institution_ids":["https://openalex.org/I392282"]},{"raw_affiliation_string":"Department of Computer Science, University at Albany, SUNY, Albany, New York, USA","institution_ids":["https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I392282"],"apc_list":null,"apc_paid":null,"fwci":0.7326,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7464589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1102","last_page":"1108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9937000274658203,"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":0.7564468383789062},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.6863853931427002},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6654538512229919},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6115677356719971},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5188001990318298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.518189013004303},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4211091101169586},{"id":"https://openalex.org/keywords/loan","display_name":"Loan","score":0.41652336716651917},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.10386988520622253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564468383789062},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.6863853931427002},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6654538512229919},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6115677356719971},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5188001990318298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.518189013004303},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4211091101169586},{"id":"https://openalex.org/C2777764128","wikidata":"https://www.wikidata.org/wiki/Q189539","display_name":"Loan","level":2,"score":0.41652336716651917},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.10386988520622253},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671677","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W18156408","https://openalex.org/W1489991816","https://openalex.org/W1572720249","https://openalex.org/W1585680390","https://openalex.org/W1666942233","https://openalex.org/W1898031563","https://openalex.org/W1986760892","https://openalex.org/W2022479766","https://openalex.org/W2035913342","https://openalex.org/W2080562691","https://openalex.org/W2090026354","https://openalex.org/W2101493650","https://openalex.org/W2105621451","https://openalex.org/W2130486630","https://openalex.org/W2165594756","https://openalex.org/W2172059508","https://openalex.org/W2282821441","https://openalex.org/W2296452361","https://openalex.org/W2597603852","https://openalex.org/W2614087582","https://openalex.org/W2761434131","https://openalex.org/W2788403449","https://openalex.org/W2799870441","https://openalex.org/W2902554683","https://openalex.org/W2920490282","https://openalex.org/W2945151003","https://openalex.org/W2945295328","https://openalex.org/W2953945697","https://openalex.org/W2962862931","https://openalex.org/W2963125461","https://openalex.org/W3036674813","https://openalex.org/W3094613840","https://openalex.org/W3101981467","https://openalex.org/W3104149808","https://openalex.org/W3124373176","https://openalex.org/W3170340849","https://openalex.org/W3181414820","https://openalex.org/W4256060553","https://openalex.org/W4288287918","https://openalex.org/W6639540558","https://openalex.org/W6735632633","https://openalex.org/W6737947904","https://openalex.org/W6756786608","https://openalex.org/W6784161558","https://openalex.org/W6966940381"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W3025615835","https://openalex.org/W4384133558","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3003410553","https://openalex.org/W3028847759","https://openalex.org/W2393688264"],"abstract_inverted_index":{"Although":[0],"data":[1,18],"quality":[2],"is":[3],"of":[4,36,66,94,105],"paramount":[5],"importance":[6],"in":[7,41,63],"algorithmic":[8,37],"decision\u2013making,":[9],"most":[10],"existing":[11],"methods":[12],"for":[13,33],"supervised":[14,61],"classification":[15,62],"use":[16],"training":[17],"without":[19],"ever":[20],"questioning":[21],"their":[22],"fidelity.":[23],"At":[24],"the":[25,64,92,95,103],"same":[26],"time,":[27],"counterfactual":[28],"explanation":[29,35],"approaches":[30],"widely":[31],"used":[32],"post\u2013hoc":[34],"decisions":[38],"may":[39],"result":[40],"unrealistic":[42],"recommendations":[43],"when":[44,73],"left":[45],"unconstrained.":[46],"This":[47],"work":[48],"highlights":[49],"a":[50,56],"significant":[51],"research":[52],"problem,":[53],"and":[54,98],"introduces":[55],"novel":[57],"framework":[58],"to":[59],"improve":[60],"presence":[65],"untrustworthy":[67],"data,":[68],"while":[69],"offering":[70],"actionable":[71],"suggestions":[72],"an":[74],"undesirable":[75],"decision":[76],"has":[77],"been":[78],"made":[79],"(e.g.,":[80],"loan":[81],"application":[82],"rejection).":[83],"Evaluation":[84],"results":[85],"spanning":[86],"datasets":[87],"from":[88],"different":[89],"domains":[90],"demonstrate":[91],"superiority":[93],"proposed":[96],"approach,":[97],"its":[99],"comparative":[100],"advantage":[101],"as":[102],"percentage":[104],"mislabeled":[106],"instances":[107],"increases.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
