{"id":"https://openalex.org/W3040201193","doi":"https://doi.org/10.2478/ijcss-2020-0002","title":"Performance of machine learning models in application to beach volleyball data.","display_name":"Performance of machine learning models in application to beach volleyball data.","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3040201193","doi":"https://doi.org/10.2478/ijcss-2020-0002","mag":"3040201193"},"language":"en","primary_location":{"id":"doi:10.2478/ijcss-2020-0002","is_oa":true,"landing_page_url":"https://doi.org/10.2478/ijcss-2020-0002","pdf_url":null,"source":{"id":"https://openalex.org/S4210193852","display_name":"International Journal of Computer Science in Sport","issn_l":"1684-4769","issn":["1684-4769"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.2478/ijcss-2020-0002","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014764642","display_name":"Sebastian Wenninger","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Wenninger","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032352317","display_name":"Daniel Link","orcid":"https://orcid.org/0000-0003-3606-2986"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Link","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015196087","display_name":"Martin Lames","orcid":"https://orcid.org/0000-0002-0249-2884"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Lames","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014764642"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":{"value":210,"currency":"EUR","value_usd":226},"apc_paid":{"value":210,"currency":"EUR","value_usd":226},"fwci":2.1163,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85860081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"19","issue":"1","first_page":"24","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.996999979019165,"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":0.996999979019165,"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":0.9954000115394592,"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":0.9724000096321106,"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/computer-science","display_name":"Computer science","score":0.7258938550949097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6207201480865479},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6194058656692505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.553549587726593},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5355709791183472},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5338581204414368},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4338158369064331},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.429598331451416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41302600502967834},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2785361409187317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09721246361732483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258938550949097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6207201480865479},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6194058656692505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.553549587726593},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5355709791183472},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5338581204414368},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4338158369064331},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.429598331451416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41302600502967834},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2785361409187317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09721246361732483},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.2478/ijcss-2020-0002","is_oa":true,"landing_page_url":"https://doi.org/10.2478/ijcss-2020-0002","pdf_url":null,"source":{"id":"https://openalex.org/S4210193852","display_name":"International Journal of Computer Science in Sport","issn_l":"1684-4769","issn":["1684-4769"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9a924f5acddd4fa799187d32e260a476","is_oa":true,"landing_page_url":"https://doaj.org/article/9a924f5acddd4fa799187d32e260a476","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Science in Sport, Vol 19, Iss 1, Pp 24-36 (2020)","raw_type":"article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1576638","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1576638","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1611356","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1611356","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.2478/ijcss-2020-0002","is_oa":true,"landing_page_url":"https://doi.org/10.2478/ijcss-2020-0002","pdf_url":null,"source":{"id":"https://openalex.org/S4210193852","display_name":"International Journal of Computer Science in Sport","issn_l":"1684-4769","issn":["1684-4769"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W9417692","https://openalex.org/W1924770834","https://openalex.org/W1972454215","https://openalex.org/W2008353316","https://openalex.org/W2020514077","https://openalex.org/W2059096325","https://openalex.org/W2085891114","https://openalex.org/W2096123577","https://openalex.org/W2122410182","https://openalex.org/W2157331557","https://openalex.org/W2295598076","https://openalex.org/W2296675535","https://openalex.org/W2397516925","https://openalex.org/W2408462304","https://openalex.org/W2410451195","https://openalex.org/W2517171134","https://openalex.org/W2590106597","https://openalex.org/W2623363880","https://openalex.org/W2624617980","https://openalex.org/W2625337269","https://openalex.org/W2726687689","https://openalex.org/W2736079788","https://openalex.org/W2749555783","https://openalex.org/W2754846726","https://openalex.org/W2769862320","https://openalex.org/W2780569276","https://openalex.org/W2782768501","https://openalex.org/W2783097902","https://openalex.org/W2794318222","https://openalex.org/W2795247881","https://openalex.org/W2809671526","https://openalex.org/W2885686910","https://openalex.org/W2899771611","https://openalex.org/W2913111658","https://openalex.org/W2949117887","https://openalex.org/W2951885001","https://openalex.org/W2954570505","https://openalex.org/W2964054038","https://openalex.org/W3102476541","https://openalex.org/W3203982446","https://openalex.org/W4233045210","https://openalex.org/W6697249929","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2994772185","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W2523437662","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2766585573"],"abstract_inverted_index":{"Abstract":[0],"Driven":[1],"by":[2],"the":[3,15,24,48,87,134],"increased":[4],"availability":[5],"of":[6,26,43,50,73,81,89],"position":[7],"and":[8,29,93],"performance":[9,49,120,144],"data,":[10],"automated":[11],"analyses":[12],"are":[13,32,130],"becoming":[14],"daily":[16],"routine":[17],"in":[18,63,103,125,140,146],"many":[19],"top-level":[20,75],"sports.":[21,127],"Methods":[22],"from":[23,40],"domains":[25],"data":[27],"mining":[28],"machine":[30],"learning":[31],"more":[33],"frequently":[34],"used":[35],"to":[36,85,122,136,142],"generate":[37],"new":[38],"insights":[39],"massive":[41],"amounts":[42],"data.":[44],"This":[45],"study":[46],"evaluates":[47],"four":[51],"current":[52],"models":[53,107,117],"(multi-layer":[54],"perceptron,":[55],"convolutional":[56],"network,":[57,59],"recurrent":[58],"gradient":[60],"boosted":[61],"tree)":[62],"classifying":[64],"tactical":[65],"behaviors":[66],"on":[67,96],"a":[68],"beach":[69,147],"volleyball":[70],"dataset":[71],"consisting":[72],"1,356":[74],"games.":[76],"A":[77],"three-way":[78],"between-subjects":[79],"analysis":[80,145],"variance":[82],"was":[83],"conducted":[84],"determine":[86],"effects":[88,113],"model,":[90],"input":[91],"features":[92],"target":[94],"behavior":[95],"classification":[97,104,119],"accuracy.":[98],"Results":[99],"show":[100],"significant":[101,111],"differences":[102],"accuracy":[105],"between":[106,114],"as":[108,110],"well":[109],"interaction":[112],"factors.":[115],"Our":[116],"achieve":[118],"similar":[121],"previous":[123],"work":[124],"other":[126],"Nonetheless,":[128],"they":[129],"not":[131],"yet":[132],"at":[133],"level":[135],"warrant":[137],"practical":[138],"application":[139],"day":[141,143],"volleyball.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2026-05-01T06:04:38.248271","created_date":"2020-07-10T00:00:00"}