{"id":"https://openalex.org/W3046808424","doi":"https://doi.org/10.1145/3377929.3390068","title":"Evolving network structures for text classification using genetic algorithms","display_name":"Evolving network structures for text classification using genetic algorithms","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046808424","doi":"https://doi.org/10.1145/3377929.3390068","mag":"3046808424"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3390068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3390068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 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/A5047470521","display_name":"Hayden Andersen","orcid":"https://orcid.org/0009-0007-7671-6143"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Hayden Andersen","raw_affiliation_strings":["Victoria University of Wellington"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068382420","display_name":"Xiaoying Gao","orcid":"https://orcid.org/0000-0002-6326-7947"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Xiaoying Gao","raw_affiliation_strings":["Victoria University of Wellington"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077569089","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-4865-8026"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["Victoria University of Wellington"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Victoria University of Wellington"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047470521"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08654217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.979200005531311,"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/T10320","display_name":"Neural Networks and Applications","score":0.979200005531311,"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":0.9445000290870667,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9332000017166138,"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":0.8098087310791016},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6811715364456177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691173076629639},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5570427775382996},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5439886450767517},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5109888315200806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5038177371025085},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4600932002067566},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.41711196303367615},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3832235336303711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32635006308555603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06661772727966309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098087310791016},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6811715364456177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691173076629639},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5570427775382996},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5439886450767517},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5109888315200806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5038177371025085},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4600932002067566},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.41711196303367615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3832235336303711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32635006308555603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06661772727966309},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3390068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3390068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W1583422155","https://openalex.org/W1649619740","https://openalex.org/W3213252596","https://openalex.org/W1534006406"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"have":[4],"shown":[5],"themselves":[6],"in":[7],"recent":[8],"years":[9],"to":[10,34,42,53,73,89],"be":[11,35,43],"strong":[12],"contenders":[13],"for":[14,57,70],"text":[15],"classification":[16,118],"and":[17,38,65],"sentiment":[18],"analysis,":[19],"achieving":[20],"high":[21,121],"accuracies":[22],"challenging":[23],"other":[24,112],"state":[25],"of":[26,104],"the":[27,39,55,105,124],"art":[28],"methods.":[29,76],"However,":[30],"their":[31],"architectures":[32],"need":[33,41],"manually":[36,44],"designed":[37],"parameters":[40],"tuned.":[45],"They":[46],"suffer":[47],"from":[48,111],"requiring":[49,94,129],"good":[50],"domain":[51],"knowledge":[52],"design":[54],"architecture":[56],"each":[58],"individual":[59],"problem,":[60],"which":[61],"often":[62],"isn't":[63],"possible":[64],"can":[66],"increase":[67],"operating":[68],"costs":[69],"companies":[71],"wishing":[72],"implement":[74],"such":[75],"In":[77],"this":[78],"paper,":[79],"two":[80],"different":[81],"methods":[82,107,115],"are":[83],"proposed":[84,106],"that":[85,102],"use":[86],"Genetic":[87],"Algorithms":[88],"automatically":[90],"evolve":[91],"CNNs":[92],"without":[93],"any":[95],"human":[96],"intervention.":[97],"The":[98],"experimental":[99],"results":[100,109],"show":[101],"one":[103],"rivals":[108],"obtained":[110],"CNN":[113],"based":[114,116],"on":[117,123],"accuracy,":[119],"reaching":[120],"accuracy":[122],"IMDB":[125],"baseline":[126],"dataset":[127],"while":[128],"only":[130],"a":[131],"few":[132],"hours":[133],"training.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}