{"id":"https://openalex.org/W4200470330","doi":"https://doi.org/10.1145/3446331","title":"Estimating Degradation of Machine Learning Data Assets","display_name":"Estimating Degradation of Machine Learning Data Assets","publication_year":2021,"publication_date":"2021-12-11","ids":{"openalex":"https://openalex.org/W4200470330","doi":"https://doi.org/10.1145/3446331"},"language":"en","primary_location":{"id":"doi:10.1145/3446331","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446331","pdf_url":null,"source":{"id":"https://openalex.org/S110189822","display_name":"Journal of Data and Information Quality","issn_l":"1936-1955","issn":["1936-1955","1936-1963"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Data and Information Quality","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2434/890056","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058810729","display_name":"Lara Mauri","orcid":"https://orcid.org/0000-0002-4024-1015"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lara Mauri","raw_affiliation_strings":["Computer Science Department, Universit\u00e0 degli Studi di Milano, Milano MI, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4024-1015","affiliations":[{"raw_affiliation_string":"Computer Science Department, Universit\u00e0 degli Studi di Milano, Milano MI, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075830877","display_name":"Ernesto Damiani","orcid":"https://orcid.org/0000-0002-9557-6496"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ernesto Damiani","raw_affiliation_strings":["Center for Cyber-Physical Systems (C2PS), Khalifa University, Abu Dhabi"],"raw_orcid":"https://orcid.org/0000-0002-9557-6496","affiliations":[{"raw_affiliation_string":"Center for Cyber-Physical Systems (C2PS), Khalifa University, Abu Dhabi","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6378,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86769145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"2","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9993000030517578,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9993000030517578,"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":0.9969000220298767,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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":0.7965409159660339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5991560220718384},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.587425947189331},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.566261887550354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5043188333511353},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4978153705596924},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.4895130395889282},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48591890931129456},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.43725740909576416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34702348709106445},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.2675819396972656},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1563917100429535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10865125060081482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7965409159660339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5991560220718384},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.587425947189331},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.566261887550354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5043188333511353},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4978153705596924},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.4895130395889282},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48591890931129456},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.43725740909576416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34702348709106445},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.2675819396972656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1563917100429535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10865125060081482},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3446331","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446331","pdf_url":null,"source":{"id":"https://openalex.org/S110189822","display_name":"Journal of Data and Information Quality","issn_l":"1936-1955","issn":["1936-1955","1936-1963"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Data and Information Quality","raw_type":"journal-article"},{"id":"pmh:oai:air.unimi.it:2434/890056","is_oa":true,"landing_page_url":"http://hdl.handle.net/2434/890056","pdf_url":null,"source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"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":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:air.unimi.it:2434/890056","is_oa":true,"landing_page_url":"http://hdl.handle.net/2434/890056","pdf_url":null,"source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"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":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W194005232","https://openalex.org/W1971991854","https://openalex.org/W1973792703","https://openalex.org/W2060907774","https://openalex.org/W2115881827","https://openalex.org/W2125908420","https://openalex.org/W2133059825","https://openalex.org/W2153504150","https://openalex.org/W2154561958","https://openalex.org/W2169967557","https://openalex.org/W2250482657","https://openalex.org/W2481159763","https://openalex.org/W2499827563","https://openalex.org/W2514173981","https://openalex.org/W2767983543","https://openalex.org/W2797545445","https://openalex.org/W2889855695","https://openalex.org/W2981423273","https://openalex.org/W2999144473","https://openalex.org/W3030764521","https://openalex.org/W3082196996","https://openalex.org/W3110400169","https://openalex.org/W3116410977","https://openalex.org/W4247200422","https://openalex.org/W4299551239"],"related_works":["https://openalex.org/W2162899405","https://openalex.org/W3113091479","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2519167559","https://openalex.org/W2075065631","https://openalex.org/W4288358396","https://openalex.org/W4311248832"],"abstract_inverted_index":{"Large-scale":[0],"adoption":[1],"of":[2,23,39,42,52,56,97],"Artificial":[3],"Intelligence":[4],"and":[5,81],"Machine":[6],"Learning":[7],"(AI-ML)":[8],"models":[9,25],"fed":[10],"by":[11],"heterogeneous,":[12],"possibly":[13],"untrustworthy":[14],"data":[15,32,86],"sources":[16],"has":[17],"spurred":[18],"interest":[19],"in":[20],"estimating":[21],"degradation":[22],"such":[24],"due":[26],"to":[27],"spurious,":[28],"adversarial,":[29],"or":[30],"low-quality":[31],"assets.":[33],"We":[34,69],"propose":[35],"a":[36,61,101],"quantitative":[37],"estimate":[38],"the":[40,50,53,57,95],"severity":[41],"classifiers\u2019":[43],"training":[44],"set":[45],"degradation:":[46],"an":[47,66,91],"index":[48,73,99],"expressing":[49],"deformation":[51],"convex":[54],"hulls":[55],"classes":[58],"computed":[59],"on":[60,100],"held-out":[62],"dataset":[63],"generated":[64],"via":[65],"unsupervised":[67],"technique.":[68],"show":[70],"that":[71],"our":[72,98],"is":[74],"computationally":[75],"light,":[76],"can":[77],"be":[78],"calculated":[79],"incrementally":[80],"complements":[82],"well":[83],"existing":[84],"ML":[85],"assets\u2019":[87],"quality":[88],"measures.":[89],"As":[90],"experimentation,":[92],"we":[93],"present":[94],"computation":[96],"benchmark":[102],"convolutional":[103],"image":[104],"classifier.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}