{"id":"https://openalex.org/W3181485491","doi":"https://doi.org/10.1145/3449726.3459460","title":"An evolutionary approach to interpretable learning","display_name":"An evolutionary approach to interpretable learning","publication_year":2021,"publication_date":"2021-07-07","ids":{"openalex":"https://openalex.org/W3181485491","doi":"https://doi.org/10.1145/3449726.3459460","mag":"3181485491"},"language":"en","primary_location":{"id":"doi:10.1145/3449726.3459460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449726.3459460","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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 Genetic and Evolutionary Computation Conference Companion","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/A5019384144","display_name":"Jake Robertson","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jake Robertson","raw_affiliation_strings":["Queen's University, Kingston, Ontario"],"affiliations":[{"raw_affiliation_string":"Queen's University, Kingston, Ontario","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075046931","display_name":"Ting Hu","orcid":"https://orcid.org/0000-0001-6382-0602"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ting Hu","raw_affiliation_strings":["Queen's University, Kingston, Ontario"],"affiliations":[{"raw_affiliation_string":"Queen's University, Kingston, Ontario","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019384144"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.06033447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.993399977684021,"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":0.993399977684021,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.9715999960899353,"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":0.9824643135070801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7164172530174255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.698249876499176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6701933145523071},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6462210416793823},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6005853414535522},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5853168964385986},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5836323499679565},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5757282376289368},{"id":"https://openalex.org/keywords/post-hoc","display_name":"Post hoc","score":0.4669303297996521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0945558249950409},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06704479455947876}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9824643135070801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164172530174255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.698249876499176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6701933145523071},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6462210416793823},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6005853414535522},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5853168964385986},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5836323499679565},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5757282376289368},{"id":"https://openalex.org/C2992886853","wikidata":"https://www.wikidata.org/wiki/Q18381816","display_name":"Post hoc","level":2,"score":0.4669303297996521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0945558249950409},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06704479455947876},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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:10.1145/3449726.3459460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449726.3459460","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2126105956","https://openalex.org/W2214034113","https://openalex.org/W2343420905","https://openalex.org/W2731142262","https://openalex.org/W2791546763","https://openalex.org/W2910705748","https://openalex.org/W2945526235"],"related_works":["https://openalex.org/W2797441709","https://openalex.org/W2346578521","https://openalex.org/W4297660007","https://openalex.org/W2886918272","https://openalex.org/W4387589990","https://openalex.org/W2943982549","https://openalex.org/W3101055019","https://openalex.org/W4382240676","https://openalex.org/W2910028250","https://openalex.org/W4241566321"],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"(ML)":[2],"interpretability":[3,34],"is":[4,15,72],"a":[5,18,73],"growing":[6],"field":[7],"of":[8,11,43],"computational":[9],"research,":[10,66],"which":[12],"the":[13,41],"goal":[14],"to":[16,29,67],"shine":[17],"light":[19],"on":[20],"black-box":[21],"predictive":[22],"models.":[23],"We":[24],"present":[25],"an":[26],"evolutionary":[27],"framework":[28],"improve":[30],"upon":[31],"existing":[32,64],"post-hoc":[33,77],"metrics,":[35],"by":[36],"quantifying":[37],"feature":[38,44,70],"synergy,":[39],"or":[40],"strength":[42],"interactions":[45],"in":[46],"high-dimensional":[47],"prediction":[48],"problems.":[49],"In":[50],"two":[51],"problem":[52],"instances":[53],"from":[54],"bioinformatics":[55],"and":[56],"climate":[57],"science,":[58],"we":[59],"validate":[60],"our":[61],"results":[62],"with":[63],"domain":[65],"show":[68],"that":[69],"synergy":[71],"valuable":[74],"metric":[75],"for":[76],"interpretability.":[78]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}