{"id":"https://openalex.org/W2979752479","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858911","title":"Explainable AI For Dataset Comparison","display_name":"Explainable AI For Dataset Comparison","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2979752479","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858911","mag":"2979752479"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8858911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","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/A5050475998","display_name":"Akshay Jain","orcid":"https://orcid.org/0000-0003-4217-9320"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Akshay Jain","raw_affiliation_strings":["Department of EECS, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018303984","display_name":"James M. Keller","orcid":"https://orcid.org/0000-0002-0306-7142"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Keller","raw_affiliation_strings":["Department of EECS, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060329217","display_name":"Mihail Popescu","orcid":"https://orcid.org/0000-0002-6145-8096"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihail Popescu","raw_affiliation_strings":["Department of EECS, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050475998"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":0.8293,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73622192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9819999933242798,"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":0.9689000248908997,"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":0.6409800052642822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44873908162117004},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.324131578207016},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07122182846069336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6409800052642822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44873908162117004},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.324131578207016},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07122182846069336}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2019.8858911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W1974081281","https://openalex.org/W2026948419","https://openalex.org/W2039799574","https://openalex.org/W2082717534","https://openalex.org/W2148836549","https://openalex.org/W2150657123","https://openalex.org/W2174992946","https://openalex.org/W2251250813","https://openalex.org/W2345227396","https://openalex.org/W2506467459","https://openalex.org/W2762968537","https://openalex.org/W2783558908","https://openalex.org/W6607976765","https://openalex.org/W6745284871"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"With":[0],"the":[1,65,75,88,96,121],"increasing":[2],"use":[3,42],"of":[4,10,20,43,77,107],"intelligent":[5],"systems":[6,15,36],"to":[7,52,99,128],"make":[8,41],"sense":[9],"data,":[11],"lately,":[12],"explainable":[13,130],"AI":[14,35],"are":[16],"gaining":[17],"a":[18,54,113],"lot":[19],"traction.":[21],"A":[22],"distance":[23,91],"measure":[24],"that":[25,56,82,120],"can":[26,33,57],"distinguish":[27],"data":[28,79],"sets":[29],"in":[30,37,47,67,102,112,125],"linguistic":[31],"terms":[32],"help":[34,76,124],"achieving":[38],"explainability.":[39],"We":[40,70,93,118],"Linguistic":[44],"Protoform":[45],"Summaries":[46],"tandem":[48],"with":[49,74,87],"Fuzzy":[50],"Rules":[51],"design":[53],"system":[55],"compare":[58],"datasets":[59],"numerically,":[60],"as":[61,63],"well":[62],"explain":[64,100],"difference":[66],"Natural":[68],"Language.":[69],"validate":[71],"our":[72],"method":[73,98,122],"synthetic":[78],"and":[80],"show":[81],"it":[83],"produces":[84],"high":[85],"correlation":[86],"well-known":[89],"Euclidean":[90],"measure.":[92],"also":[94],"employ":[95],"proposed":[97],"changes":[101],"daily":[103],"pulse":[104],"rate":[105],"measurements":[106],"an":[108],"elderly":[109],"resident":[110],"living":[111],"sensor":[114],"equipped":[115],"smart":[116],"home.":[117],"postulate":[119],"will":[123],"future":[126],"endeavors":[127],"produce":[129],"pattern":[131],"recognition":[132],"systems.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
