{"id":"https://openalex.org/W1900205106","doi":"https://doi.org/10.1109/cig.2015.7317909","title":"Evaluating Go game records for prediction of player attributes","display_name":"Evaluating Go game records for prediction of player attributes","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1900205106","doi":"https://doi.org/10.1109/cig.2015.7317909","mag":"1900205106"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2015.7317909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2015.7317909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1512.08969","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Josef Moudrik","orcid":null},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Josef Moudrik","raw_affiliation_strings":["Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Petr Baudis","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Petr Baudis","raw_affiliation_strings":["Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":null,"display_name":"Roman Neruda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Roman Neruda","raw_affiliation_strings":["Institute of Computer Science Academy of Sciences of the Czech Republic, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science Academy of Sciences of the Czech Republic, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210155092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21250087"],"apc_list":null,"apc_paid":null,"fwci":4.9495,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95253661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9990000128746033,"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/T11705","display_name":"Gambling Behavior and Treatments","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5964000225067139},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.48330000042915344},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.40400001406669617},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.384799987077713},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.31690001487731934},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.3100000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713100016117096},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5964000225067139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5286999940872192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5034000277519226},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3594000041484833},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2678999900817871}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cig.2015.7317909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2015.7317909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1512.08969","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.08969","pdf_url":"https://arxiv.org/pdf/1512.08969","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0459376","is_oa":false,"landing_page_url":"http://hdl.handle.net/11104/0259581","pdf_url":null,"source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1512.08969","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.08969","pdf_url":"https://arxiv.org/pdf/1512.08969","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1589775371","https://openalex.org/W1602245058","https://openalex.org/W2105119444","https://openalex.org/W2135129960","https://openalex.org/W2143908786","https://openalex.org/W2911964244","https://openalex.org/W3009535878","https://openalex.org/W4212883601","https://openalex.org/W4240294902","https://openalex.org/W6630013472","https://openalex.org/W6637386731","https://openalex.org/W6680146123","https://openalex.org/W6688914176","https://openalex.org/W6764034911"],"related_works":[],"abstract_inverted_index":{"We":[0,48,69],"propose":[1,70],"a":[2,71],"way":[3],"of":[4,12,21,30,59,73,84,89],"extracting":[5],"and":[6,56],"aggregating":[7],"per-move":[8],"evaluations":[9,17,38],"from":[10],"sets":[11],"Go":[13,79],"game":[14],"records.":[15],"The":[16],"capture":[18],"different":[19,44],"aspects":[20],"the":[22,37,54,60],"games":[23],"such":[24],"as":[25],"played":[26],"patterns":[27],"or":[28,64,87],"statistic":[29],"sente/gote":[31],"sequences.":[32],"Using":[33],"machine":[34],"learning":[35],"algorithms,":[36],"can":[39],"be":[40],"utilized":[41],"to":[42,52],"predict":[43,53],"relevant":[45],"target":[46],"variables.":[47],"apply":[49],"this":[50],"methodology":[51],"strength":[55],"playing":[57],"style":[58],"player":[61],"(e.g.":[62],"territoriality":[63],"aggressivity)":[65],"with":[66],"good":[67],"accuracy.":[68],"number":[72],"possible":[74],"applications":[75],"including":[76],"aiding":[77],"in":[78],"study,":[80],"seeding":[81],"real-work":[82],"ranks":[83],"internet":[85],"players":[86],"tuning":[88],"Go-playing":[90],"programs.":[91]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2016-06-24T00:00:00"}