{"id":"https://openalex.org/W2556340658","doi":"https://doi.org/10.1109/mlsp.2016.7738872","title":"A model explanation system","display_name":"A model explanation system","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2556340658","doi":"https://doi.org/10.1109/mlsp.2016.7738872","mag":"2556340658"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2016.7738872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5103550405","display_name":"Ryan Turner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138135","display_name":"Northrop Grumman (Germany)","ror":"https://ror.org/043wc6127","country_code":"DE","type":"company","lineage":["https://openalex.org/I2948394018","https://openalex.org/I4210138135"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ryan Turner","raw_affiliation_strings":["Northrop Grumman Corporation"],"affiliations":[{"raw_affiliation_string":"Northrop Grumman Corporation","institution_ids":["https://openalex.org/I4210138135"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103550405"],"corresponding_institution_ids":["https://openalex.org/I4210138135"],"apc_list":null,"apc_paid":null,"fwci":15.4343,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.9897784,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9957000017166138,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9957000017166138,"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":0.9909999966621399,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9900000095367432,"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":0.756544828414917},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6780694723129272},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.6157097220420837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5749644637107849},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5629286766052246},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5339518785476685},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4271708130836487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14596131443977356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756544828414917},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6780694723129272},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.6157097220420837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5749644637107849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5629286766052246},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5339518785476685},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4271708130836487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14596131443977356},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2016.7738872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W327991062","https://openalex.org/W814282759","https://openalex.org/W1559922687","https://openalex.org/W1560724230","https://openalex.org/W1645937837","https://openalex.org/W1849277567","https://openalex.org/W1982032418","https://openalex.org/W1988645907","https://openalex.org/W2025533349","https://openalex.org/W2063046703","https://openalex.org/W2080581973","https://openalex.org/W2090026354","https://openalex.org/W2119387367","https://openalex.org/W2130259898","https://openalex.org/W2135046866","https://openalex.org/W2149706766","https://openalex.org/W2163614729","https://openalex.org/W2168934042","https://openalex.org/W3123427206","https://openalex.org/W4236137412","https://openalex.org/W6639204139","https://openalex.org/W6684547848"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W4300101996","https://openalex.org/W2165950148","https://openalex.org/W4253593777","https://openalex.org/W2951497643","https://openalex.org/W4403053866","https://openalex.org/W2047881532","https://openalex.org/W2142393343"],"abstract_inverted_index":{"We":[0,13,75],"propose":[1],"a":[2,33,50],"new":[3],"methodology":[4,94],"for":[5,53,85],"explaining":[6],"the":[7,15,63,69],"predictions":[8,35],"of":[9,22,71],"black":[10,86],"box":[11,87],"classifiers.":[12],"use":[14],"motivating":[16],"paradigm":[17],"that":[18],"predictive":[19],"performance":[20],"is":[21,95],"primary":[23],"importance":[24],"but":[25],"human":[26],"analysts":[27],"(e.g.,":[28],"in":[29,101],"fraud":[30],"detection)":[31],"desire":[32],"classifier's":[34],"to":[36,67,82,98],"be":[37,43],"augmented":[38],"with":[39,89],"useful":[40],"explanations.":[41],"To":[42],"truly":[44],"general":[45],"and":[46,104],"principled,":[47],"we":[48],"derive":[49,76],"scoring":[51],"system":[52],"finding":[54],"explanations":[55,64,84],"based":[56],"on":[57],"formal":[58],"requirements.":[59],"In":[60],"this":[61],"system,":[62],"are":[65],"assumed":[66],"take":[68],"form":[70],"simple":[72],"logical":[73],"statements.":[74],"an":[77],"efficient":[78],"Monte":[79],"Carlo":[80],"algorithm":[81],"find":[83],"classifiers":[88],"finite":[90],"sample":[91],"guarantees.":[92],"The":[93],"then":[96],"applied":[97],"interesting":[99],"examples":[100],"facial":[102],"recognition":[103],"credit":[105],"data.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}