{"id":"https://openalex.org/W2995482541","doi":"https://doi.org/10.1145/3377325.3377538","title":"AutoAIViz","display_name":"AutoAIViz","publication_year":2020,"publication_date":"2020-03-04","ids":{"openalex":"https://openalex.org/W2995482541","doi":"https://doi.org/10.1145/3377325.3377538","mag":"2995482541"},"language":"en","primary_location":{"id":"doi:10.1145/3377325.3377538","doi":"https://doi.org/10.1145/3377325.3377538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377325.3377538","pdf_url":null,"source":{"id":"https://openalex.org/S7407086775","display_name":"ACM International Conference on Intelligent User Interfaces (IUI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 25th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.06723","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043572512","display_name":"Daniel Karl I. Weidele","orcid":"https://orcid.org/0000-0001-5253-0511","observed_orcids":["https://orcid.org/0000-0001-5253-0511"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Karl I. Weidele","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011883289","display_name":"Justin D. Weisz","orcid":"https://orcid.org/0000-0003-2228-2398","observed_orcids":["https://orcid.org/0000-0003-2228-2398"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin D. Weisz","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079903977","display_name":"Erick Oduor","orcid":"https://orcid.org/0009-0003-0548-6193","observed_orcids":["https://orcid.org/0009-0003-0548-6193"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erick Oduor","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026028381","display_name":"Michael J. Muller","orcid":"https://orcid.org/0000-0001-7860-163X","observed_orcids":["https://orcid.org/0000-0001-7860-163X"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Muller","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086240513","display_name":"Josh Andr\u00e9s","orcid":"https://orcid.org/0000-0001-5882-3139","observed_orcids":["https://orcid.org/0000-0001-5882-3139"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josh Andres","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005255629","display_name":"Alexander Gray","orcid":"https://orcid.org/0000-0003-0337-7359","observed_orcids":["https://orcid.org/0000-0003-0337-7359"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Gray","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062817658","display_name":"Dakuo Wang","orcid":"https://orcid.org/0000-0001-9371-9441","observed_orcids":["https://orcid.org/0000-0001-9371-9441"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dakuo Wang","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":3.8379,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.94949615,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.5551999807357788,"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":0.5551999807357788,"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":0.322299987077713,"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/T10799","display_name":"Data Visualization and Analytics","score":0.05990000069141388,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/automated-machine-learning","display_name":"automated machine learning","score":0.7609999775886536},{"id":"https://openalex.org/keywords/algorithm-selection","display_name":"algorithm selection","score":0.699999988079071},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.8629999756813049},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"feature engineering","score":0.9210000038146973},{"id":"https://openalex.org/keywords/data-scientists","display_name":"data scientists","score":0.6000000238418579},{"id":"https://openalex.org/keywords/user-evaluation","display_name":"user evaluation","score":0.7400000095367432},{"id":"https://openalex.org/keywords/trust-in-automation","display_name":"trust in automation","score":0.824999988079071},{"id":"https://openalex.org/keywords/explainability","display_name":"explainability","score":0.4880000054836273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8073754906654358},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7127889394760132},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.656238853931427},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5882695317268372},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48106884956359863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4774806499481201},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4653414487838745},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44189149141311646},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4270877540111542},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.42286232113838196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40673747658729553},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3584493398666382},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.14970126748085022},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10502511262893677},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3377325.3377538","doi":"https://doi.org/10.1145/3377325.3377538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377325.3377538","pdf_url":null,"source":{"id":"https://openalex.org/S7407086775","display_name":"ACM International Conference on Intelligent User Interfaces (IUI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 25th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1912.06723","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.06723","pdf_url":"https://arxiv.org/pdf/1912.06723","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1912.06723","doi":"https://doi.org/10.48550/arxiv.1912.06723","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1912.06723","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.06723","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.06723","pdf_url":"https://arxiv.org/pdf/1912.06723","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2995482541.pdf","grobid_xml":"https://content.openalex.org/works/W2995482541.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W50754117","https://openalex.org/W2034694694","https://openalex.org/W2043062223","https://openalex.org/W2047046780","https://openalex.org/W2076962836","https://openalex.org/W2182353144","https://openalex.org/W2295680652","https://openalex.org/W2584335703","https://openalex.org/W2593151843","https://openalex.org/W2621019965","https://openalex.org/W2732547613","https://openalex.org/W2771189628","https://openalex.org/W2784241156","https://openalex.org/W2796040126","https://openalex.org/W2807910285","https://openalex.org/W2888551908","https://openalex.org/W2897042519","https://openalex.org/W2911599914","https://openalex.org/W2913615284","https://openalex.org/W2916292150","https://openalex.org/W2916904544","https://openalex.org/W2922234936","https://openalex.org/W2940731426","https://openalex.org/W2941629559","https://openalex.org/W2941766203","https://openalex.org/W2945976633","https://openalex.org/W2947123069","https://openalex.org/W2952280947","https://openalex.org/W2971867419","https://openalex.org/W2983901715","https://openalex.org/W2997686802","https://openalex.org/W2998732476","https://openalex.org/W2999356315","https://openalex.org/W2999637955","https://openalex.org/W2999765337","https://openalex.org/W3029504795","https://openalex.org/W3122753382","https://openalex.org/W4255692800","https://openalex.org/W4288083705","https://openalex.org/W4288086169"],"related_works":["https://openalex.org/W3011045833","https://openalex.org/W4387130605","https://openalex.org/W4288083546","https://openalex.org/W3002070941","https://openalex.org/W3119210614","https://openalex.org/W4416944610","https://openalex.org/W4311457520","https://openalex.org/W3082511419","https://openalex.org/W4281768672","https://openalex.org/W2894362806"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"can":[3],"now":[4],"automate":[5],"the":[6,34,50,66,72,104,111,120,126],"algorithm":[7],"selection,":[8],"feature":[9],"engineering,":[10],"and":[11,56,115],"hyperparameter":[12],"tuning":[13],"steps":[14],"in":[15,125],"a":[16,80],"machine":[17],"learning":[18],"workflow.":[19],"Commonly":[20],"known":[21],"as":[22],"AutoML":[23],"or":[24],"AutoAI,":[25],"these":[26],"technologies":[27],"aim":[28],"to":[29,46,95,109],"relieve":[30],"data":[31,86,112],"scientists":[32,87],"from":[33],"tedious":[35],"manual":[36],"work.":[37],"However,":[38],"today's":[39],"AutoAI":[40,127],"systems":[41],"often":[42,62],"present":[43],"only":[44],"limited":[45],"no":[47],"information":[48],"about":[49],"process":[51],"of":[52,88,122],"how":[53],"they":[54,70],"select":[55],"generate":[57],"model":[58,98],"results.":[59],"Thus,":[60],"users":[61,108],"do":[63,69],"not":[64],"understand":[65],"process,":[67],"neither":[68],"trust":[71,124],"outputs.":[73],"In":[74],"this":[75],"short":[76],"paper,":[77],"we":[78],"provide":[79],"first":[81],"user":[82],"evaluation":[83],"by":[84],"10":[85],"an":[89],"experimental":[90],"system,":[91],"AutoAIViz,":[92],"that":[93,103],"aims":[94],"visualize":[96],"AutoAI's":[97],"generation":[99],"process.":[100],"We":[101],"find":[102],"proposed":[105],"system":[106],"helps":[107],"complete":[110],"science":[113],"tasks,":[114],"increases":[116],"their":[117],"understanding,":[118],"toward":[119],"goal":[121],"increasing":[123],"system.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":6}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-12-26T00:00:00"}
