{"id":"https://openalex.org/W4206546510","doi":"https://doi.org/10.1109/cog52621.2021.9619019","title":"Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase","display_name":"Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W4206546510","doi":"https://doi.org/10.1109/cog52621.2021.9619019"},"language":"en","primary_location":{"id":"doi:10.1109/cog52621.2021.9619019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog52621.2021.9619019","pdf_url":null,"source":{"id":"https://openalex.org/S4363608335","display_name":"2021 IEEE Conference on Games (CoG)","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":"2021 IEEE Conference on Games (CoG)","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/A5102366164","display_name":"Lincoln Magalh\u00e3es Costa","orcid":null},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Lincoln Magalhaes Costa","raw_affiliation_strings":["Systems Engineering and Computer Science Program - COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Systems Engineering and Computer Science Program - COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068640530","display_name":"Rafael Gomes Mantovani","orcid":"https://orcid.org/0000-0001-9564-106X"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael Gomes Mantovani","raw_affiliation_strings":["Federal Technology University - Paran\u00e1 (UTFPR), Campus of Apucarana - PR, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal Technology University - Paran\u00e1 (UTFPR), Campus of Apucarana - PR, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114514510","display_name":"Francisco Carlos M. Souza","orcid":"https://orcid.org/0000-0002-8953-8653"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco Carlos Monteiro Souza","raw_affiliation_strings":["Federal Technology University - Paran\u00e1 (UTFPR), Campus of Dois Vizinhos - PR, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal Technology University - Paran\u00e1 (UTFPR), Campus of Dois Vizinhos - PR, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074689274","display_name":"Geraldo Xex\u00e9o","orcid":"https://orcid.org/0000-0003-3975-9076"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Geraldo Xexeo","raw_affiliation_strings":["Systems Engineering and Computer Science Program - COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Systems Engineering and Computer Science Program - COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102366164"],"corresponding_institution_ids":["https://openalex.org/I122140584"],"apc_list":null,"apc_paid":null,"fwci":5.0829,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.96736597,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11197","display_name":"Digital Games and Media","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11197","display_name":"Digital Games and Media","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11705","display_name":"Gambling Behavior and Treatments","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/victory","display_name":"Victory","score":0.9857604503631592},{"id":"https://openalex.org/keywords/league","display_name":"League","score":0.8486827611923218},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7265053987503052},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6811104416847229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558172702789307},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5572912693023682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5486056804656982},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4540858566761017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39160269498825073},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1056567132472992},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.09163397550582886}],"concepts":[{"id":"https://openalex.org/C2779220109","wikidata":"https://www.wikidata.org/wiki/Q50000","display_name":"Victory","level":3,"score":0.9857604503631592},{"id":"https://openalex.org/C207456731","wikidata":"https://www.wikidata.org/wiki/Q660818","display_name":"League","level":2,"score":0.8486827611923218},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7265053987503052},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6811104416847229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558172702789307},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5572912693023682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5486056804656982},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4540858566761017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39160269498825073},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1056567132472992},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.09163397550582886},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cog52621.2021.9619019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog52621.2021.9619019","pdf_url":null,"source":{"id":"https://openalex.org/S4363608335","display_name":"2021 IEEE Conference on Games (CoG)","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":"2021 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W2154290668","https://openalex.org/W2911964244","https://openalex.org/W2946222023","https://openalex.org/W2989565911","https://openalex.org/W2995027180","https://openalex.org/W3017260358","https://openalex.org/W3094259655","https://openalex.org/W3114825046","https://openalex.org/W4234556776","https://openalex.org/W6728933153"],"related_works":["https://openalex.org/W2388235990","https://openalex.org/W2511431888","https://openalex.org/W2003463155","https://openalex.org/W2980119548","https://openalex.org/W1579717711","https://openalex.org/W2103744108","https://openalex.org/W2097640227","https://openalex.org/W2363315805","https://openalex.org/W2368605798","https://openalex.org/W637576606"],"abstract_inverted_index":{"Victory":[0],"prediction":[1,71],"in":[2,58,100],"online":[3],"video":[4],"games":[5,24],"has":[6],"become":[7],"an":[8],"important":[9],"application":[10],"for":[11,69,114],"machine":[12],"learning":[13],"due":[14],"to":[15,41,54,95],"the":[16,51,82,97,110],"large":[17],"amount":[18],"of":[19,31,45,72,75,77,81,130],"data":[20],"generated":[21],"by":[22],"these":[23,36],"and":[25,47,93,124],"their":[26,43],"growing":[27],"popularity.":[28],"The":[29,102,118],"creation":[30],"professional":[32,73],"leagues":[33],"also":[34],"drives":[35],"applications,":[37],"as":[38],"teams":[39],"want":[40],"know":[42,48],"chances":[44],"victory":[46,70,98],"what":[49],"are":[50],"determining":[52],"factors":[53],"achieve":[55],"it.":[56],"Thus,":[57],"this":[59,116],"research,":[60],"we":[61,88],"analyze":[62],"whether":[63],"pre-game":[64],"information":[65,108],"can":[66],"be":[67],"explored":[68],"matches":[74],"League":[76],"Legends":[78],"(LoL),":[79],"one":[80],"main":[83],"MOBA":[84],"games.":[85],"In":[86],"experiments,":[87],"benchmarked":[89],"different":[90],"feature":[91],"sets":[92],"algorithms":[94],"assess":[96],"predictions":[99],"LoL.":[101],"results":[103],"show":[104],"that":[105],"historical":[106],"performance":[107],"is":[109],"most":[111],"accurate":[112],"features":[113],"performing":[115],"task.":[117],"induced":[119],"models,":[120],"especially":[121],"Random":[122],"Forest":[123],"Logistic":[125],"Regression,":[126],"achieved":[127],"AUC":[128],"values":[129],"0.97.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}