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Donald Barron, Graham Ball, Matthew Robins & Caroline Sunderland. (2020) Identifying playing talent in professional football using artificial neural networks. Journal of Sports Sciences 38:11-12, pages 1211-1220.
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Kelly de Jesus, Karla de Jesus, Helon Vicente Hultmann Ayala, Leandro dos Santos Coelho, João Paulo Vilas-Boas & Ricardo Jorge Pinto Fernandes. (2019) Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models. Journal of Sports Sciences 37:13, pages 1512-1520.
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Mirko Lai, Rosa Meo, Rossano Schifanella & Emilio Sulis. (2018) The role of the network of matches on predicting success in table tennis. Journal of Sports Sciences 36:23, pages 2691-2698.
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Sam McIntosh, Stephanie Kovalchik & Sam Robertson. (2018) Examination of player role in the Australian Football League using match performance data. International Journal of Performance Analysis in Sport 18:3, pages 451-462.
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Carl T. Woods, James Veale, Job Fransen, Sam Robertson & Neil French Collier. (2018) Classification of playing position in elite junior Australian football using technical skill indicators. Journal of Sports Sciences 36:1, pages 97-103.
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Articles from other publishers (19)
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Paulo Francisco de Almeida-Neto, Rui Barboza Neto, Dihogo Gama de Matos, Jason Azevedo de Medeiros, Alexandre Bulhões-Correia, Ian Jeffreys, Cláudio Hélio Lobato, Felipe J. Aidar, Paulo Moreira Silva Dantas & Breno Guilher me Araújo Tinôco Cabral. (2022) Using artificial neural networks to help in the process of sports selection and orientation through morphological and biodynamic parameters: a pilot study. Sport Sciences for Health 19:3, pages 929-937.
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Paulo Francisco de Almeida-Neto, Nathália Monastirski Ribeiro Campos, Dihogo Gama de Matos, Adam D. G. Baxter-Jones, Brunna Rafaella do Carmo Silva, Alexandre Bulhões-Correia, Thaisys Blanc dos Santos Simões, Felipe J. Aidar, Paulo Moreira Silva Dantas & Breno Guilherme Araújo Tinôco de Cabral. (2021) Higher levels of inhibitory control are associated with superior neuromuscular performance in adolescent athletes. Sport Sciences for Health 18:3, pages 799-806.
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Hui Du. (2022) Application of Improved GM (1, 1) Model in Prediction of Training Results of 100 Meter Race. Mobile Information Systems 2022, pages 1-9.
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Paulo F. de ALMEIDA-NETO, Dihogo GAMA de MATOS, Vanessa C. MONTEIRO PINTO, Vitória MONTEIRO MONTE OLIVEIRA, Rafaela C. da SILVA CUNHA de MEDEIROS, Ian JEFFREYS, Paulo MOREIRA SILVA DANTAS, Felipe J. AIDAR & Breno G. de ARAÚJO TINOCO CABRAL. (2022) Biological age, testosterone, and estradiol as discriminating factors of muscle strength levels in young athletes. The Journal of Sports Medicine and Physical Fitness 62:1.
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Dave Matteo, Paul Gastin, Haresh Suppiah & David Carey. 2022. Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference. Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference
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Maximilian Siener, Irene Faber & Andreas Hohmann. (2021) Prognostic Validity of Statistical Prediction Methods Used for Talent Identification in Youth Tennis Players Based on Motor Abilities. Applied Sciences 11:15, pages 7051.
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Andreas Hohmann & Maximilian Siener. (2021) Talent Identification in Youth Soccer: Prognosis of U17 Soccer Performance on the Basis of General Athleticism and Talent Promotion Interventions in Second-Grade Children. Frontiers in Sports and Active Living 3.
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Paulo Francisco de Almeida-Neto, Dihogo Gama de Matos, Adam D. G. Baxter-Jones, Gilmário Ricarte Batista, Vanessa Carla Monteiro Pinto, Matheus Dantas, Felipe J. Aidar, Paulo Moreira Silva Dantas & Breno Guilherme de Araújo Tinoco Cabral. (2020) The Effectiveness of Biological Maturation and Lean Mass in Relation to Muscle Strength Performance in Elite Young Athletes. Sustainability 12:17, pages 6696.
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Paulo Francisco de Almeida-Neto, Paulo Moreira Silva Dantas, Vanessa Carla Monteiro Pinto, Tatianny de Macêdo Cesário, Nathália Monastirski Ribeiro Campos, Eduardo Estevan Santana, Dihogo Gama de Matos, Felipe J Aidar & Breno Guilherme de Araújo Tinoco Cabral. (2020) Biological Maturation and Hormonal Markers, Relationship to Neuromotor Performance in Female Children. International Journal of Environmental Research and Public Health 17:9, pages 3277.
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Uma Mahajan, Anup Krishnan, Vineet Malhotra, Deep Sharma & Sharad Gore. (2019) Predicting Fitness and Performance of Diving using Machine Learning Algorithms. Predicting Fitness and Performance of Diving using Machine Learning Algorithms.
Elina Virkki & Teppo Kalaja. (2019) THE RELATIONSHIP BETWEEN WOMEN´S ARTISTIC GYMNASTICS TECHNICAL SKILL, PHYSICAL PERFORMANCE TEST RESULTS AND SUCCESS IN COMPETITIONS IN FINLAND. Science of Gymnastics Journal 11:3, pages 307-320.
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Alexandra H. Roberts, Daniel A. Greenwood, Mandy Stanley, Clare Humberstone, Fiona Iredale & Annette Raynor. (2019) Coach knowledge in talent identification: A systematic review and meta-synthesis. Journal of Science and Medicine in Sport 22:10, pages 1163-1172.
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Maximilian Siener & Andreas Hohmann. (2019) Talent orientation: the impact of motor abilities on future success in table tennisTalentorientierung: Einfluss der sportmotorischen Fähigkeiten auf den zukünftigen Erfolg im Tischtennis. German Journal of Exercise and Sport Research 49:3, pages 232-243.
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Kewei Zhao, Andreas Hohmann, Yu Chang, Bei Zhang, Johan Pion & Binghong Gao. (2019) Physiological, Anthropometric, and Motor Characteristics of Elite Chinese Youth Athletes From Six Different Sports. Frontiers in Physiology 10.
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Carla C. Silva, Lucilene F. Silva, Camila R. Santos, Tamara B.L. Goldberg, Solange P. Ramos & Emerson J. Venancio. (2019) Genetic polymorphism on the flexibility of elite rhythmic gymnasts: State of art. Apunts. Medicina de l'Esport 54:201, pages 27-35.
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Andreas Hohmann, Maximilian Siener & Renye He. (2018) Prognostic validity of talent orientation in soccerPrognostische Validität der Talentorientierung im Fußball. German Journal of Exercise and Sport Research 48:4, pages 478-488.
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Karla de Jesus, Helon V. H. Ayala, Kelly de Jesus, Leandro dos S. Coelho, Alexandre I.A. Medeiros, José A. Abraldes, Mário A.P. Vaz, Ricardo J. Fernandes & João Paulo Vilas-Boas. (2018) Modelling and Predicting Backstroke Start Performance Using Non-Linear And Linear Models. Journal of Human Kinetics 61:1, pages 29-38.
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Carl T. Woods, Sam Robertson, Neil French Collier, Anne L. Swinbourne & Anthony S. Leicht. (2017) Transferring an Analytical Technique from Ecology to the Sport Sciences. Sports Medicine 48:3, pages 725-732.
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