{"id":"https://openalex.org/W3092425164","doi":"https://doi.org/10.1109/icodsa50139.2020.9213031","title":"Hyperparameter Setting of LSTM-based Language Model using Grey Wolf Optimizer","display_name":"Hyperparameter Setting of LSTM-based Language Model using Grey Wolf Optimizer","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3092425164","doi":"https://doi.org/10.1109/icodsa50139.2020.9213031","mag":"3092425164"},"language":"en","primary_location":{"id":"doi:10.1109/icodsa50139.2020.9213031","doi":"https://doi.org/10.1109/icodsa50139.2020.9213031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icodsa50139.2020.9213031","pdf_url":null,"source":{"id":"https://openalex.org/S7407086690","display_name":"International Conference on Data Science and Its Applications (ICoDSA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2020 International Conference on Data Science and Its Applications (ICoDSA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5032813288","display_name":"Bilal Zahran Aufa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Bilal Zahran Aufa","raw_affiliation_strings":["School of Computing, Telkom University, Bandung, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782869","display_name":"Suyanto Suyanto","orcid":"https://orcid.org/0000-0002-8897-8091","observed_orcids":["https://orcid.org/0000-0002-8897-8091"]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Suyanto Suyanto","raw_affiliation_strings":["School of Computing, Telkom University, Bandung, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076793119","display_name":"Anditya Arifianto","orcid":"https://orcid.org/0000-0003-1601-0185","observed_orcids":["https://orcid.org/0000-0003-1601-0185"]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Anditya Arifianto","raw_affiliation_strings":["School of Computing, Telkom University, Bandung, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I862893732"],"apc_list":null,"apc_paid":null,"fwci":1.9995,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.89647439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9901999831199646,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9901999831199646,"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":0.004800000227987766,"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/T10028","display_name":"Topic Modeling","score":0.0013000000035390258,"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/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9670000076293945},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.8420000076293945},{"id":"https://openalex.org/keywords/grey-wolf-optimizer","display_name":"grey wolf optimizer","score":0.9359999895095825},{"id":"https://openalex.org/keywords/language-modeling","display_name":"language modeling","score":0.843999981880188},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"swarm intelligence","score":0.9570000171661377},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.8600000143051147},{"id":"https://openalex.org/keywords/exploration-exploitation-trade-off","display_name":"exploration-exploitation balance","score":0.7300000190734863}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.936244010925293},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.8710888624191284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622474431991577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6201953291893005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5204960703849792},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.49100878834724426},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4477229714393616},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.41440629959106445},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4115546941757202},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38785606622695923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11976364254951477},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07368406653404236},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icodsa50139.2020.9213031","doi":"https://doi.org/10.1109/icodsa50139.2020.9213031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icodsa50139.2020.9213031","pdf_url":null,"source":{"id":"https://openalex.org/S7407086690","display_name":"International Conference on Data Science and Its Applications (ICoDSA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2020 International Conference on Data Science and Its Applications (ICoDSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W7021242","https://openalex.org/W163172025","https://openalex.org/W1522301498","https://openalex.org/W1598680648","https://openalex.org/W1632114991","https://openalex.org/W1847135582","https://openalex.org/W1895577753","https://openalex.org/W2002302337","https://openalex.org/W2061438946","https://openalex.org/W2064675550","https://openalex.org/W2097998348","https://openalex.org/W2109109344","https://openalex.org/W2130942839","https://openalex.org/W2131586743","https://openalex.org/W2133656308","https://openalex.org/W2185726469","https://openalex.org/W2402268235","https://openalex.org/W2548970627","https://openalex.org/W2549416390","https://openalex.org/W2739255396","https://openalex.org/W2757291580","https://openalex.org/W2770073247","https://openalex.org/W2792376130","https://openalex.org/W2963748792","https://openalex.org/W2964121744","https://openalex.org/W2973975940","https://openalex.org/W2982169896","https://openalex.org/W3011561743","https://openalex.org/W3011933072","https://openalex.org/W3023398144","https://openalex.org/W3089109144","https://openalex.org/W4213308398","https://openalex.org/W4244902181"],"related_works":["https://openalex.org/W3039642166","https://openalex.org/W2985862567","https://openalex.org/W4282974768","https://openalex.org/W3160278034","https://openalex.org/W4390086672","https://openalex.org/W7217898614","https://openalex.org/W7169829164","https://openalex.org/W2963553025","https://openalex.org/W7160527871","https://openalex.org/W2783335072"],"abstract_inverted_index":{"Hyperparameters":[0],"is":[1,64,74,104,170,192],"one":[2,134],"of":[3,8,20,30,101,107,135,194,199],"the":[4,18,21,28,45,49,105,108,118,123,136,159,168,174,184,200],"most":[5],"essential":[6],"part":[7],"deep":[9],"learning,":[10],"because":[11],"they":[12],"can":[13,43,157],"give":[14],"big":[15],"impact":[16],"to":[17,66,92,116,172],"performance":[19,42,47,143],"model.":[22,53],"Recent":[23],"works":[24],"show":[25],"that":[26,110,139,156,190],"if":[27],"hyperparameters":[29,69,176,198],"a":[31,141,178],"Long":[32],"Short-Term":[33],"Memory":[34],"(LSTM)":[35],"are":[36,133,161],"carefully":[37],"adjusted":[38],"or":[39],"optimized,":[40],"its":[41],"achieve":[44],"same":[46],"as":[48,58,128],"more":[50,162],"complex":[51],"LSTM":[52,175],"Previously,":[54],"several":[55],"methods":[56],"such":[57,127],"grid":[59],"search":[60,63,124],"and":[61],"random":[62],"introduced":[65],"solve":[67,93],"this":[68,94,102,166],"optimization":[70,96,145,160],"problem,":[71],"but":[72],"it":[73,80],"still":[75],"not":[76],"effective":[77],"enough.":[78],"Hence,":[79],"opens":[81],"opportunities":[82],"for":[83,177,183],"meta-heuristic":[84],"nature-inspired":[85],"approach":[86],"like":[87],"Swarm":[88],"Intelligence":[89],"(SI)":[90],"method":[91,103],"hyperparameter":[95],"problem.":[97],"The":[98,150],"main":[99],"advantage":[100],"behaviour":[106],"algorithm":[109,151],"has":[111,152],"exploring-exploiting":[112,154],"process":[113],"in":[114,122,144,147,165],"order":[115],"find":[117],"global":[119],"optima":[120],"solution":[121],"space.":[125],"Algorithm":[126],"Grey":[129],"Wolf":[130],"Optimizer":[131],"(GWO)":[132],"SI":[137],"algorithms":[138],"have":[140],"promising":[142],"problem":[146],"various":[148],"field.":[149],"balanced":[153],"process,":[155],"make":[158],"effective.":[163],"Therefore,":[164],"paper":[167],"GWO":[169,191],"exploited":[171],"optimize":[173],"language":[179],"modeling":[180],"task.":[181],"Evaluation":[182],"Penn":[185],"Tree":[186],"Bank":[187],"dataset":[188],"shows":[189],"capable":[193],"giving":[195],"an":[196],"optimum":[197],"LSTM.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":11}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-10-15T00:00:00"}