{"id":"https://openalex.org/W4412107770","doi":"https://doi.org/10.1145/3736733.3736735","title":"Interactive Coreset Selection for Tabular Data: Fairness-Aware, Explainable, and User-Guided","display_name":"Interactive Coreset Selection for Tabular Data: Fairness-Aware, Explainable, and User-Guided","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4412107770","doi":"https://doi.org/10.1145/3736733.3736735"},"language":"en","primary_location":{"id":"doi:10.1145/3736733.3736735","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736733.3736735","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736733.3736735","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3736733.3736735","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039498975","display_name":"Adva Hadar","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Aviv Hadar","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110095410","display_name":"Tova Milo","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tova Milo","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044808853","display_name":"Kathy Razmadze","orcid":"https://orcid.org/0000-0002-9165-2025"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Kathy Razmadze","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039498975"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":2.5222,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90567638,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9977999925613403,"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":0.9977999925613403,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9911999702453613,"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":0.9603999853134155,"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":0.7890305519104004},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6380605697631836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19932550191879272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890305519104004},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6380605697631836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19932550191879272}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3736733.3736735","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736733.3736735","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736733.3736735","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3736733.3736735","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736733.3736735","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736733.3736735","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412107770.pdf","grobid_xml":"https://content.openalex.org/works/W4412107770.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1819662813","https://openalex.org/W2014352947","https://openalex.org/W2045964207","https://openalex.org/W2100960835","https://openalex.org/W2295598076","https://openalex.org/W3171842281","https://openalex.org/W3181414820","https://openalex.org/W4288359825","https://openalex.org/W4409231202","https://openalex.org/W6638208828"],"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":{"We":[0,100],"present":[1],"a":[2,7,22,27,79],"human-centric":[3],"extension":[4],"of":[5,26,82],"CoreTab,":[6],"novel":[8],"coreset":[9,73,98],"algorithm":[10],"for":[11,97,107],"tabular":[12],"data":[13,61,84,112],"recently":[14],"accepted":[15],"to":[16],"VLDB":[17],"2025.":[18],"A":[19],"core-set":[20],"is":[21,70],"compact,":[23],"representative":[24],"subset":[25],"dataset":[28],"that":[29,54],"approximates":[30],"full-data":[31],"training":[32],"performance":[33],"while":[34],"greatly":[35],"reducing":[36],"computational":[37],"cost.":[38],"While":[39],"CoreTab":[40,69],"already":[41],"achieves":[42],"state-of-the-art":[43],"accuracy":[44],"and":[45,59,67,104,110],"efficiency,":[46],"this":[47],"demonstration":[48],"focuses":[49],"on":[50],"its":[51],"interactive":[52],"components":[53],"let":[55],"users":[56],"audit,":[57],"adjust,":[58],"guide":[60],"selection\u2014addressing":[62],"real-world":[63],"concerns":[64],"like":[65],"fairness":[66],"representativeness.":[68],"the":[71,93],"first":[72,94],"method":[74],"with":[75],"built-in":[76],"explainability,":[77],"offering":[78],"decision-tree-based":[80],"view":[81],"which":[83],"regions":[85],"were":[86],"included":[87],"or":[88],"excluded.":[89],"It":[90],"also":[91],"introduces":[92],"human-in-the-loop":[95],"interface":[96],"refinement.":[99],"highlight":[101],"design":[102],"insights":[103],"open":[105],"challenges":[106],"building":[108],"transparent":[109],"responsible":[111],"sampling":[113],"workflows.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}