{"id":"https://openalex.org/W2963399068","doi":"https://doi.org/10.1145/3306618.3314230","title":"Global Explanations of Neural Networks","display_name":"Global Explanations of Neural Networks","publication_year":2019,"publication_date":"2019-01-27","ids":{"openalex":"https://openalex.org/W2963399068","doi":"https://doi.org/10.1145/3306618.3314230","mag":"2963399068"},"language":"en","primary_location":{"id":"doi:10.1145/3306618.3314230","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3306618.3314230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society","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/A5030917007","display_name":"Mark Ibrahim","orcid":"https://orcid.org/0009-0005-2135-7476"},"institutions":[{"id":"https://openalex.org/I1305444813","display_name":"Capital One (United States)","ror":"https://ror.org/00svp7168","country_code":"US","type":"company","lineage":["https://openalex.org/I1305444813"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mark Ibrahim","raw_affiliation_strings":["Center for Machine Learning, Capital One, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Center for Machine Learning, Capital One, New York, NY, USA","institution_ids":["https://openalex.org/I1305444813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059996185","display_name":"Melissa Louie","orcid":null},"institutions":[{"id":"https://openalex.org/I1305444813","display_name":"Capital One (United States)","ror":"https://ror.org/00svp7168","country_code":"US","type":"company","lineage":["https://openalex.org/I1305444813"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melissa Louie","raw_affiliation_strings":["Center for Machine Learning, Capital One, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Center for Machine Learning, Capital One, New York, NY, USA","institution_ids":["https://openalex.org/I1305444813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073724475","display_name":"Ceena Modarres","orcid":null},"institutions":[{"id":"https://openalex.org/I1305444813","display_name":"Capital One (United States)","ror":"https://ror.org/00svp7168","country_code":"US","type":"company","lineage":["https://openalex.org/I1305444813"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ceena Modarres","raw_affiliation_strings":["Center for Machine Learning, Capital One, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Center for Machine Learning, Capital One, New York, NY, USA","institution_ids":["https://openalex.org/I1305444813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110662445","display_name":"John Paisley","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Paisley","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030917007"],"corresponding_institution_ids":["https://openalex.org/I1305444813"],"apc_list":null,"apc_paid":null,"fwci":6.1608,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.97055646,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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":0.9998000264167786,"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":0.987500011920929,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.986299991607666,"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/interpretability","display_name":"Interpretability","score":0.9444856643676758},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.7753700017929077},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6828932762145996},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.662834644317627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6220636963844299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6087923645973206},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.549077033996582},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5125874876976013},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4979133605957031},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4365957975387573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.387255996465683},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1356774866580963}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9444856643676758},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.7753700017929077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6828932762145996},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.662834644317627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6220636963844299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6087923645973206},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.549077033996582},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5125874876976013},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4979133605957031},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4365957975387573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.387255996465683},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1356774866580963},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3306618.3314230","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3306618.3314230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1987971958","https://openalex.org/W2025440555","https://openalex.org/W2028664571","https://openalex.org/W2030326671","https://openalex.org/W2081714563","https://openalex.org/W2083620785","https://openalex.org/W2137362862","https://openalex.org/W2169393322","https://openalex.org/W2184341717","https://openalex.org/W2295598076","https://openalex.org/W2367397349","https://openalex.org/W2510508396","https://openalex.org/W2594475271","https://openalex.org/W2773497437","https://openalex.org/W2949197630","https://openalex.org/W2952688545","https://openalex.org/W2979200397","https://openalex.org/W3102476541","https://openalex.org/W6695661434"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4319993887","https://openalex.org/W4297789176","https://openalex.org/W2768346313","https://openalex.org/W2963249138","https://openalex.org/W2998594699","https://openalex.org/W4396882122","https://openalex.org/W3178016723","https://openalex.org/W4404915278","https://openalex.org/W2968060152"],"abstract_inverted_index":{"A":[0],"barrier":[1],"to":[2,30,87,123],"the":[3,50,63,101,142],"wider":[4],"adoption":[5],"of":[6,12,34,52,65,105,112],"neural":[7,27,53,136],"networks":[8],"is":[9],"their":[10],"lack":[11],"interpretability.":[13],"While":[14],"local":[15],"explanation":[16],"methods":[17],"exist":[18],"for":[19,42,141],"one":[20],"prediction,":[21],"most":[22],"global":[23,44,60,97],"attributions":[24,45],"still":[25],"reduce":[26],"network":[28,54,137],"decisions":[29,138],"a":[31],"single":[32],"set":[33],"features.":[35],"In":[36],"response,":[37],"we":[38],"present":[39],"an":[40],"approach":[41],"generating":[43],"called":[46],"GAM,":[47],"which":[48,74],"explains":[49,71],"landscape":[51],"predictions":[55],"across":[56],"subpopulations.":[57,92],"GAM":[58,132],"augments":[59],"explanations":[61,82,98],"with":[62],"proportion":[64],"samples":[66,75],"that":[67,95],"each":[68,79],"attribution":[69],"best":[70],"and":[72,119],"specifies":[73],"are":[76,121,139],"described":[77],"by":[78],"attribution.":[80],"Global":[81],"also":[83],"have":[84],"tunable":[85],"granularity":[86],"detect":[88],"more":[89,129],"or":[90],"fewer":[91],"We":[93],"demonstrate":[94],"GAM's":[96],"1)":[99],"yield":[100],"known":[102],"feature":[103,110],"importances":[104],"simulated":[106],"data,":[107,118],"2)":[108],"match":[109],"weights":[111],"interpretable":[113],"statistical":[114],"models":[115],"on":[116],"real":[117],"3)":[120],"intuitive":[122],"practitioners":[124],"through":[125],"user":[126],"studies.":[127],"With":[128],"transparent":[130],"predictions,":[131],"can":[133],"help":[134],"ensure":[135],"generated":[140],"right":[143],"reasons.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
