{"id":"https://openalex.org/W4414511309","doi":"https://doi.org/10.1145/3761939","title":"Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation","display_name":"Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation","publication_year":2025,"publication_date":"2025-09-25","ids":{"openalex":"https://openalex.org/W4414511309","doi":"https://doi.org/10.1145/3761939"},"language":"en","primary_location":{"id":"doi:10.1145/3761939","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761939","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3761939","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029438736","display_name":"Mario Villaiz\u00e1n-Vallelado","orcid":"https://orcid.org/0009-0002-0754-1742"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Mario Villaiz\u00e1n-Vallelado","raw_affiliation_strings":["Universidad de Valladolid, Valladolid, Spain and Telef\u00f3nica Scientific Research, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Valladolid, Valladolid, Spain and Telef\u00f3nica Scientific Research, Madrid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039099751","display_name":"Matteo Salvatori","orcid":"https://orcid.org/0000-0003-1499-6024"},"institutions":[{"id":"https://openalex.org/I4210097190","display_name":"Telef\u00f3nica (Spain)","ror":"https://ror.org/012f7tj07","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190"]},{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Matteo Salvatori","raw_affiliation_strings":["Telef\u00f3nica Scientific Research, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Telef\u00f3nica Scientific Research, Madrid, Spain","institution_ids":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118176564","display_name":"Carlos Segura","orcid":"https://orcid.org/0000-0001-5867-281X"},"institutions":[{"id":"https://openalex.org/I4210097190","display_name":"Telef\u00f3nica (Spain)","ror":"https://ror.org/012f7tj07","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190"]},{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Segura","raw_affiliation_strings":["Telef\u00f3nica Scientific Research, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Telef\u00f3nica Scientific Research, Madrid, Spain","institution_ids":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015760420","display_name":"Ioannis Arapakis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097190","display_name":"Telef\u00f3nica (Spain)","ror":"https://ror.org/012f7tj07","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190"]},{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ioannis Arapakis","raw_affiliation_strings":["Telef\u00f3nica Scientific Research, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Telef\u00f3nica Scientific Research, Madrid, Spain","institution_ids":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029438736"],"corresponding_institution_ids":["https://openalex.org/I108103353"],"apc_list":null,"apc_paid":null,"fwci":11.7842,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98289305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"19","issue":"8","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.07909999787807465,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.07909999787807465,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.07150000333786011,"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/T13398","display_name":"Data Analysis with R","score":0.028300000354647636,"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/imputation","display_name":"Imputation (statistics)","score":0.6848999857902527},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.6291000247001648},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3075000047683716},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.2759000062942505},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.27459999918937683}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6848999857902527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6427000164985657},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.6291000247001648},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5856999754905701},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.320499986410141},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28700000047683716},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2709999978542328}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3761939","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761939","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3761939","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761939","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"is":[1],"a":[2],"corrigendum":[3],"for":[4,9],"the":[5],"article":[6],"\u201cDiffusion":[7],"Models":[8],"Tabular":[10],"Data":[11,15,23],"Imputation":[12],"and":[13],"Synthetic":[14],"Generation\u201d":[16],"published":[17],"in":[18],"ACM":[19],"Trans.":[20],"Knowl.":[21],"Discov.":[22],"19(6):":[24],"125:1-125:32":[25],"(2025).":[26]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
