{"id":"https://openalex.org/W4388820077","doi":"https://doi.org/10.1109/access.2023.3334911","title":"Learning Performance Efficiency of College Basketball Players Using TVAE","display_name":"Learning Performance Efficiency of College Basketball Players Using TVAE","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388820077","doi":"https://doi.org/10.1109/access.2023.3334911"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3334911","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3334911","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10323330.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":null,"license_id":null,"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/ielx7/6287639/6514899/10323330.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051916306","display_name":"Nasim Yahyasoltani","orcid":"https://orcid.org/0000-0002-4502-8715"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nasim Yahyasoltani","raw_affiliation_strings":["Department of Computer Science, Marquette University, Milwaukee, WI, USA","Department of Computer Science, Marquette University, Milwaukee, WI 53233 USA"],"raw_orcid":"https://orcid.org/0000-0002-4502-8715","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Department of Computer Science, Marquette University, Milwaukee, WI 53233 USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022893713","display_name":"Priyanka Annapureddy","orcid":"https://orcid.org/0009-0000-9959-327X"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Priyanka Annapureddy","raw_affiliation_strings":["Department of Computer Science, Marquette University, Milwaukee, WI, USA"],"raw_orcid":"https://orcid.org/0009-0000-9959-327X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004233439","display_name":"Manzur Farazi","orcid":"https://orcid.org/0000-0003-4773-9040"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manzur Farazi","raw_affiliation_strings":["Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI, USA","Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI 53233 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI 53233 USA","institution_ids":["https://openalex.org/I102461120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102461120"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3319,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79180128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"130186","last_page":"130196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9836000204086304,"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/T11246","display_name":"Sports injuries and prevention","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.869134247303009},{"id":"https://openalex.org/keywords/basketball","display_name":"Basketball","score":0.8270537853240967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.772446870803833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5197505354881287},{"id":"https://openalex.org/keywords/guard","display_name":"Guard (computer science)","score":0.5104050040245056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48752066493034363},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.46015504002571106},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4303072690963745}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.869134247303009},{"id":"https://openalex.org/C103189561","wikidata":"https://www.wikidata.org/wiki/Q5372","display_name":"Basketball","level":2,"score":0.8270537853240967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.772446870803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5197505354881287},{"id":"https://openalex.org/C141141315","wikidata":"https://www.wikidata.org/wiki/Q2379942","display_name":"Guard (computer science)","level":2,"score":0.5104050040245056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48752066493034363},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.46015504002571106},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4303072690963745},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3334911","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3334911","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10323330.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:epublications.marquette.edu:comp_fac-1086","is_oa":true,"landing_page_url":"https://epublications.marquette.edu/comp_fac/87","pdf_url":null,"source":{"id":"https://openalex.org/S4306401682","display_name":"e-Publications@Marquette (Marquette University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102461120","host_organization_name":"Marquette University","host_organization_lineage":["https://openalex.org/I102461120"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Faculty Research and Publications","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:439aff945fe34268a4562b29dc19497b","is_oa":true,"landing_page_url":"https://doaj.org/article/439aff945fe34268a4562b29dc19497b","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 11, Pp 130186-130196 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3334911","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3334911","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10323330.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309475","display_name":"Northwestern University","ror":"https://ror.org/000e0be47"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388820077.pdf","grobid_xml":"https://content.openalex.org/works/W4388820077.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1992491006","https://openalex.org/W2014914571","https://openalex.org/W2092694783","https://openalex.org/W2170655593","https://openalex.org/W2172159524","https://openalex.org/W2262849853","https://openalex.org/W2397341258","https://openalex.org/W2490662969","https://openalex.org/W2565167788","https://openalex.org/W2790553820","https://openalex.org/W2811091738","https://openalex.org/W2896134062","https://openalex.org/W2911224953","https://openalex.org/W2945445771","https://openalex.org/W2995993478","https://openalex.org/W3015020719","https://openalex.org/W3044342494","https://openalex.org/W3131845830","https://openalex.org/W3133386413","https://openalex.org/W3135001103","https://openalex.org/W3137758952","https://openalex.org/W3145405561","https://openalex.org/W3175524406","https://openalex.org/W3199209662","https://openalex.org/W3211041519","https://openalex.org/W3213829461","https://openalex.org/W4293343253","https://openalex.org/W4311415873","https://openalex.org/W6639732818","https://openalex.org/W6735525128","https://openalex.org/W6765451912","https://openalex.org/W6791143464"],"related_works":["https://openalex.org/W2369330680","https://openalex.org/W2387007275","https://openalex.org/W2389047293","https://openalex.org/W2348951541","https://openalex.org/W2363923555","https://openalex.org/W2379277877","https://openalex.org/W2375004532","https://openalex.org/W2347481686","https://openalex.org/W2347529550","https://openalex.org/W2744580953"],"abstract_inverted_index":{"Monitoring":[0],"workload":[1,19,73,167],"is":[2,118],"essential":[3],"to":[4,27,85,120],"evaluate":[5],"possibility":[6],"of":[7,14,59,91,154],"fatigue":[8,31],"or":[9],"injuries":[10],"and":[11,30,32,38,68,81,103,130,174],"overall":[12],"performance":[13,152,179],"the":[15,28,50,57,60,86,92,122,140,145,155,159,166,181],"players.":[16],"Large":[17],"player\u2019s":[18,160],"in":[20,45,49,63,139],"any":[21],"game":[22],"including":[23],"basketball":[24,61],"can":[25,136,162,170],"contribute":[26],"stress":[29],"overloaded":[33],"players":[34,62],"may":[35],"get":[36],"exhausted":[37],"exhibit":[39],"burnout":[40],"symptoms,":[41],"which":[42,169],"eventually":[43],"result":[44],"their":[46,72],"lower":[47],"efficiency":[48,58,161],"game.":[51],"This":[52],"paper":[53],"aims":[54],"at":[55],"predicting":[56],"all":[64,100,148],"positions":[65,102,149],"(guard,":[66],"forward":[67],"center)":[69],"based":[70],"on":[71],"information.":[74],"Machine":[75],"learning":[76],"(ML)":[77],"methods":[78],"for":[79,88,99,107,147,177],"regression":[80,129],"classification":[82,131],"are":[83],"applied":[84],"dataset":[87],"predictive":[89],"modelling":[90],"variables.":[93],"The":[94,124,151],"analysis":[95,153],"includes:":[96],"(i)":[97],"one-model":[98,146],"player":[101,109],"(ii)":[104],"position-based":[105,141],"models":[106,126,142],"respective":[108],"position.":[110],"Leveraging":[111],"tabular":[112],"variational":[113],"autoencoders":[114],"(TVAE),":[115],"synthetic":[116],"data":[117],"generated":[119],"improve":[121],"accuracy.":[123],"evaluated":[125],"from":[127,165],"both":[128],"verify":[132],"that":[133,158],"better":[134],"accuracies":[135],"be":[137,163],"obtained":[138],"rather":[143],"than":[144],"approach.":[150],"algorithms":[156],"indicates":[157],"estimated":[164],"information":[168],"provide":[171],"valuable":[172],"insight":[173],"individualized":[175],"recommendation":[176],"optimal":[178],"during":[180],"competition.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
