{"id":"https://openalex.org/W3081436178","doi":"https://doi.org/10.1109/access.2020.3019245","title":"Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm","display_name":"Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3081436178","doi":"https://doi.org/10.1109/access.2020.3019245","mag":"3081436178"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3019245","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019245","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09177040.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09177040.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007523962","display_name":"Franklin Johnson","orcid":"https://orcid.org/0000-0003-4522-3809"},"institutions":[{"id":"https://openalex.org/I4210100945","display_name":"Universidad de Playa Ancha de Ciencias de la Educaci\u00f3n","ror":"https://ror.org/0171wr661","country_code":"CL","type":"education","lineage":["https://openalex.org/I4210100945"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Franklin Johnson","raw_affiliation_strings":["Department of Computer Science and Informatics, Universidad de Playa Ancha, Valpara\u00edso, Chile"],"raw_orcid":"https://orcid.org/0000-0003-4522-3809","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Informatics, Universidad de Playa Ancha, Valpara\u00edso, Chile","institution_ids":["https://openalex.org/I4210100945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059861713","display_name":"Alvaro Valderrama","orcid":null},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Alvaro Valderrama","raw_affiliation_strings":["Department of Informatics, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso, Chile"],"raw_orcid":"https://orcid.org/0000-0002-1618-8373","affiliations":[{"raw_affiliation_string":"Department of Informatics, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso, Chile","institution_ids":["https://openalex.org/I75778554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001721318","display_name":"Carlos Valle","orcid":"https://orcid.org/0000-0001-7158-2069"},"institutions":[{"id":"https://openalex.org/I4210100945","display_name":"Universidad de Playa Ancha de Ciencias de la Educaci\u00f3n","ror":"https://ror.org/0171wr661","country_code":"CL","type":"education","lineage":["https://openalex.org/I4210100945"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Carlos Valle","raw_affiliation_strings":["Department of Computer Science and Informatics, Universidad de Playa Ancha, Valpara\u00edso, Chile"],"raw_orcid":"https://orcid.org/0000-0001-7158-2069","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Informatics, Universidad de Playa Ancha, Valpara\u00edso, Chile","institution_ids":["https://openalex.org/I4210100945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041828713","display_name":"Broderick Crawford","orcid":"https://orcid.org/0000-0001-5500-0188"},"institutions":[{"id":"https://openalex.org/I130474213","display_name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","ror":"https://ror.org/02cafbr77","country_code":"CL","type":"education","lineage":["https://openalex.org/I130474213"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Broderick Crawford","raw_affiliation_strings":["Department of Informatics, Pontificia Universidad Catolica de Valpara\u00edso, Valpara\u00edso, Chile"],"raw_orcid":"https://orcid.org/0000-0001-5500-0188","affiliations":[{"raw_affiliation_string":"Department of Informatics, Pontificia Universidad Catolica de Valpara\u00edso, Valpara\u00edso, Chile","institution_ids":["https://openalex.org/I130474213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089757639","display_name":"Ricardo Soto","orcid":"https://orcid.org/0000-0002-5755-6929"},"institutions":[{"id":"https://openalex.org/I130474213","display_name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","ror":"https://ror.org/02cafbr77","country_code":"CL","type":"education","lineage":["https://openalex.org/I130474213"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Ricardo Soto","raw_affiliation_strings":["Department of Informatics, Pontificia Universidad Catolica de Valpara\u00edso, Valpara\u00edso, Chile"],"raw_orcid":"https://orcid.org/0000-0002-5755-6929","affiliations":[{"raw_affiliation_string":"Department of Informatics, Pontificia Universidad Catolica de Valpara\u00edso, Valpara\u00edso, Chile","institution_ids":["https://openalex.org/I130474213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011907462","display_name":"Ricardo \u00d1anculef","orcid":"https://orcid.org/0000-0003-3374-0198"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Ricardo Nanculef","raw_affiliation_strings":["Department of Informatics, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Santiago, Chile"],"raw_orcid":"https://orcid.org/0000-0003-3374-0198","affiliations":[{"raw_affiliation_string":"Department of Informatics, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Santiago, Chile","institution_ids":["https://openalex.org/I75778554"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007523962"],"corresponding_institution_ids":["https://openalex.org/I4210100945"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5501,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.91400467,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"156139","last_page":"156152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"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/T12676","display_name":"Machine Learning and ELM","score":0.9951000213623047,"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":0.8606194257736206},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8373080492019653},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7617563009262085},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.7349797487258911},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7125493288040161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5814878344535828},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5813713073730469},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5000121593475342},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47148773074150085},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46930837631225586},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4596412479877472},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4255387783050537},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.41093865036964417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39158111810684204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3897472620010376},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3742702007293701},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34025269746780396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8606194257736206},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8373080492019653},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7617563009262085},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7349797487258911},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7125493288040161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814878344535828},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5813713073730469},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5000121593475342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47148773074150085},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46930837631225586},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4596412479877472},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4255387783050537},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.41093865036964417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39158111810684204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3897472620010376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3742702007293701},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34025269746780396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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":2,"locations":[{"id":"doi:10.1109/access.2020.3019245","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019245","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09177040.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:763083cbeea249bebf9753ca0fdbad71","is_oa":true,"landing_page_url":"https://doaj.org/article/763083cbeea249bebf9753ca0fdbad71","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 156139-156152 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3019245","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019245","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09177040.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1692417783","display_name":null,"funder_award_id":"1190129","funder_id":"https://openalex.org/F4320334812","funder_display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica"},{"id":"https://openalex.org/G3856816342","display_name":null,"funder_award_id":"1171243","funder_id":"https://openalex.org/F4320334812","funder_display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica"},{"id":"https://openalex.org/G468044575","display_name":null,"funder_award_id":"1190129","funder_id":"https://openalex.org/F4320338073","funder_display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico"},{"id":"https://openalex.org/G5365204328","display_name":null,"funder_award_id":"11180524","funder_id":"https://openalex.org/F4320334812","funder_display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica"},{"id":"https://openalex.org/G7004214378","display_name":null,"funder_award_id":"1171243","funder_id":"https://openalex.org/F4320338073","funder_display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320334812","display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica","ror":"https://ror.org/02ap3w078"},{"id":"https://openalex.org/F4320338073","display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","ror":"https://ror.org/02ap3w078"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081436178.pdf","grobid_xml":"https://content.openalex.org/works/W3081436178.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W197865394","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1651586605","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1873332500","https://openalex.org/W1928278792","https://openalex.org/W2031745992","https://openalex.org/W2039568841","https://openalex.org/W2046609661","https://openalex.org/W2082181144","https://openalex.org/W2095705004","https://openalex.org/W2117731089","https://openalex.org/W2163605009","https://openalex.org/W2188051592","https://openalex.org/W2194775991","https://openalex.org/W2213612645","https://openalex.org/W2307376191","https://openalex.org/W2546781373","https://openalex.org/W2587345921","https://openalex.org/W2612309817","https://openalex.org/W2622826443","https://openalex.org/W2741430497","https://openalex.org/W2745384027","https://openalex.org/W2781909478","https://openalex.org/W2809360363","https://openalex.org/W2887063112","https://openalex.org/W2900168113","https://openalex.org/W2901312569","https://openalex.org/W2923556723","https://openalex.org/W2949117887","https://openalex.org/W2954743925","https://openalex.org/W2964121744","https://openalex.org/W2972093761","https://openalex.org/W3028459556","https://openalex.org/W3028642772","https://openalex.org/W3037071834","https://openalex.org/W3206031967","https://openalex.org/W4236558809","https://openalex.org/W4296886862","https://openalex.org/W4383560187","https://openalex.org/W6600284362","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639175750","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6729638145","https://openalex.org/W6741978826","https://openalex.org/W6747375938","https://openalex.org/W6753496161","https://openalex.org/W6777926273","https://openalex.org/W6802457468","https://openalex.org/W7015476958"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W2735450835","https://openalex.org/W4206451978","https://openalex.org/W3195622388","https://openalex.org/W2759497208","https://openalex.org/W3041443116"],"abstract_inverted_index":{"In":[0,34,56,174],"recent":[1],"years,":[2],"Convolutional":[3],"Neural":[4],"Networks":[5],"(CNN)":[6],"have":[7],"been":[8],"widely":[9,141],"used":[10,29,142],"for":[11,30,65,72,144],"real-world":[12],"applications":[13],"in":[14,85,109,128,181,192],"the":[15,27,37,43,66,69,86,118,150,167,193,202],"field":[16],"of":[17,54,68,183,196,198,201],"computer":[18],"vision.":[19],"Their":[20],"class-leading":[21],"performance,":[22],"however,":[23],"depends":[24],"heavily":[25],"on":[26],"architecture":[28,71],"a":[31,45,61,73,93],"given":[32,74],"problem.":[33,77],"most":[35],"cases,":[36,176],"architectures":[38],"are":[39,140],"manually":[40],"optimized":[41],"by":[42,88,113,166],"researchers,":[44],"time-consuming":[46],"process":[47],"hard":[48],"to":[49],"achieve":[50,178],"without":[51],"prior":[52],"knowledge":[53],"CNN.":[55],"this":[57],"paper,":[58],"we":[59,177],"propose":[60],"new":[62],"genetic":[63,169],"algorithm":[64,79],"optimization":[67],"CNN":[70],"image":[75,130,145],"classification":[76,131,146],"This":[78],"extends":[80],"and":[81,112,136,152,159],"refines":[82],"existing":[83],"research":[84],"field,":[87],"allowing":[89],"depth":[90],"exploration,":[91],"introducing":[92],"novel":[94],"sequential":[95],"crossover":[96],"operator,":[97],"using":[98],"an":[99],"incremental":[100],"selective":[101],"pressure":[102],"schedule":[103],"over":[104,117,156,187],"evolution":[105],"(favoring":[106],"higher":[107],"diversity":[108],"early":[110,122],"generations)":[111],"evaluating":[114],"individual":[115],"performances":[116],"validation":[119],"set":[120],"with":[121,163],"stopping.":[123],"The":[124],"technique":[125],"is":[126],"validated":[127],"three":[129],"dataset,":[132],"namely,":[133],"CIFAR10,":[134],"MNIST":[135],"Caltech256":[137],"datasets,":[138,158,189],"which":[139],"benchmarks":[143],"algorithms.":[147],"We":[148],"evaluate":[149],"performance":[151],"total":[153],"execution":[154,199],"time":[155,200],"these":[157],"compare":[160],"our":[161],"results":[162,180],"those":[164],"achieved":[165],"best":[168],"methods":[170],"published":[171],"so":[172],"far.":[173],"all":[175],"better":[179],"terms":[182],"test":[184],"accuracy,":[185],"consistently":[186],"different":[188],"while":[190],"remaining":[191],"same":[194],"orders":[195],"magnitude":[197],"fastest":[203],"approaches.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2025-10-10T00:00:00"}
