{"id":"https://openalex.org/W2901850664","doi":"https://doi.org/10.1109/icmlc.2018.8526954","title":"Forecasting Results of Sport Events Through Deep Learning","display_name":"Forecasting Results of Sport Events Through Deep Learning","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901850664","doi":"https://doi.org/10.1109/icmlc.2018.8526954","mag":"2901850664"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2018.8526954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2018.8526954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5000911075","display_name":"Shu-Hung Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"SHU-HUNG LIN","raw_affiliation_strings":["Department of Information Management, National Taichung University of Science & Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Taichung University of Science & Technology, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038663636","display_name":"Mu\u2010Yen Chen","orcid":"https://orcid.org/0000-0002-3945-4363"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"MU-YEN CHEN","raw_affiliation_strings":["Department of Information Management, National Taichung University of Science & Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Taichung University of Science & Technology, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000576489","display_name":"Hsiu\u2010Sen Chiang","orcid":"https://orcid.org/0000-0003-0228-6826"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"HSIU-SEN CHIANG","raw_affiliation_strings":["Department of Information Management, National Taichung University of Science & Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Taichung University of Science & Technology, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000911075"],"corresponding_institution_ids":["https://openalex.org/I131948415"],"apc_list":null,"apc_paid":null,"fwci":0.4669,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77820017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9955999851226807,"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":0.9955999851226807,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9790999889373779,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/newspaper","display_name":"Newspaper","score":0.6919752359390259},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6892637014389038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6836053729057312},{"id":"https://openalex.org/keywords/basketball","display_name":"Basketball","score":0.680433988571167},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6387538313865662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6161556839942932},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.545821487903595},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5336658954620361},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46965208649635315},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4190467596054077},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.2279377281665802},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.12142902612686157}],"concepts":[{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.6919752359390259},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6892637014389038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836053729057312},{"id":"https://openalex.org/C103189561","wikidata":"https://www.wikidata.org/wiki/Q5372","display_name":"Basketball","level":2,"score":0.680433988571167},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6387538313865662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161556839942932},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.545821487903595},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5336658954620361},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46965208649635315},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4190467596054077},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.2279377281665802},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.12142902612686157},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2018.8526954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2018.8526954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","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":12,"referenced_works":["https://openalex.org/W2101926813","https://openalex.org/W2116360511","https://openalex.org/W2465528855","https://openalex.org/W2607240167","https://openalex.org/W2613985117","https://openalex.org/W2734691436","https://openalex.org/W2737749939","https://openalex.org/W2747479026","https://openalex.org/W2748806792","https://openalex.org/W2765435620","https://openalex.org/W2772285495","https://openalex.org/W6746678311"],"related_works":["https://openalex.org/W2376554757","https://openalex.org/W2369330680","https://openalex.org/W612150824","https://openalex.org/W2387007275","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,119],"importance":[1],"of":[2,19,34,117,192,204],"competitive":[3,103],"sport":[4],"events":[5],"such":[6,36],"as":[7,37],"the":[8,12,26,38,41,57,81,90,94,136,154,179,182,190,197,202],"World":[9,13],"Cup":[10],"and":[11,31,87,110,126,130,145,150,195],"Baseball":[14],"Classic":[15],"for":[16,143],"a":[17],"majority":[18],"people":[20,51],"can":[21],"be":[22,108,124,141,160],"easily":[23],"found":[24],"through":[25],"heated":[27],"discussions":[28],"in":[29,112,189],"newspapers":[30],"other":[32,209],"types":[33],"media":[35],"Internet":[39],"while":[40],"fad":[42],"hits.":[43],"They":[44],"are":[45,52],"also":[46,100],"highly":[47],"discussed":[48,111],"topics.":[49],"Many":[50],"even":[53],"one-day":[54],"fans":[55],"with":[56,102,178],"same":[58],"expectations;":[59],"that":[60,93,196],"is,":[61,69],"they":[62],"want":[63],"their":[64],"team":[65,76],"to":[66,73,114,146,172,185,201,208],"win.":[67],"It":[68],"however,":[70],"very":[71],"difficult":[72],"determine":[74],"which":[75,99],"will":[77,107,123,140,159],"stand":[78],"out":[79],"among":[80],"many.":[82],"In":[83,162],"this":[84],"study,":[85,181],"records":[86],"data":[88,131],"from":[89,132],"many":[91],"contests":[92],"National":[95],"Basketball":[96],"Association":[97],"(NBA),":[98],"deals":[101],"sports,":[104],"has":[105],"held":[106],"analyzed":[109],"order":[113],"forecast":[115,191,205],"results":[116,158,194,206],"games.":[118],"deep":[120,187],"learning":[121,188],"approach":[122,198],"adopted":[125],"convolutional":[127,165],"neural":[128,166],"networks":[129,167],"4147":[133],"games":[134],"over":[135],"past":[137],"3":[138],"years":[139],"used":[142],"analysis":[144],"facilitate":[147],"training":[148],"on":[149],"forecasts":[151],"done":[152],"applying":[153],"model.":[155],"Finally,":[156],"forecasting":[157],"discussed.":[161],"previous":[163],"studies,":[164],"were":[168],"more":[169],"frequently":[170],"applied":[171],"identifying":[173],"images":[174],"or":[175],"objects.":[176],"Therefore,":[177],"current":[180],"hope":[183],"is":[184],"combine":[186],"event":[193],"helps":[199],"add":[200],"accuracy":[203],"compared":[207],"classifiers.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}