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International Journal of Computer Science in Sport

Volume 19 (2020): Numero 2 (Dicembre 2020)

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5 Articoli
Accesso libero | 31 dic 2020
Automatic Classification of Locomotion in Sport: A Case Study from Elite Netball.
P.D. Smith

P.D. Smith

School of Health and Sport Science, University of the Sunshine CoastSippy Downs, Australia
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Smith, P.D.
 e 
A. Bedford

A. Bedford

  • School of Health and Sport Science, University of the Sunshine CoastSippy Downs, Australia
  • Sunshine Coast LightningSippy Downs, Australia
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Bedford, A.
  
Accesso libero | 31 dic 2020
Optimising Daily Fantasy Sports Teams with Artificial Intelligence
Ryan Beal

Ryan Beal

University of Southampton
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Beal, Ryan
, 
Timothy J. Norman

Timothy J. Norman

University of Southampton
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Norman, Timothy J.
 e 
Sarvapali D. Ramchurn

Sarvapali D. Ramchurn

University of Southampton
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Ramchurn, Sarvapali D.
  
Accesso libero | 31 dic 2020
A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL
Ryan Beal

Ryan Beal

University of Southampton
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Beal, Ryan
, 
Timothy J. Norman

Timothy J. Norman

University of Southampton
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Norman, Timothy J.
 e 
Sarvapali D. Ramchurn

Sarvapali D. Ramchurn

University of Southampton
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Ramchurn, Sarvapali D.
  
Accesso libero | 31 dic 2020
Multimodal Approach for Kayaking Performance Analysis and Improvement
G. Nagy

G. Nagy

  • Faculty of Information Technology and Bionics, Pázmány Péter Catholic UniversityHungary
  • Department of Telecommunications and Media Informatics, Budapest University of Technology and EconomicsHungary
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Nagy, G.
, 
Zs. Komka

Zs. Komka

  • Faculty of Information Technology and Bionics, Pázmány Péter Catholic UniversityHungary
  • Heart and Vascular Center, Semmelweis UniversityHungary
  • Department of Health Sciences and Sport Medicine, University of Physical EducationHungary
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Komka, Zs.
, 
G. Szathmáry

G. Szathmáry

Faculty of Information Technology and Bionics, Pázmány Péter Catholic UniversityHungary
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Szathmáry, G.
, 
P. Katona

P. Katona

  • Faculty of Information Technology and Bionics, Pázmány Péter Catholic UniversityHungary
  • Department of Kinesiology, University of Physical EducationHungary
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Katona, P.
, 
L. Gannoruwa

L. Gannoruwa

Department of Kinesiology, University of Physical EducationHungary
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Gannoruwa, L.
, 
G. Erdős

G. Erdős

Institute of Advanced StudiesHungary
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Erdős, G.
, 
P. Tarjányi

P. Tarjányi

Polaritás-GM LtdBudapest, Hungary
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Tarjányi, P.
, 
M. Tóth

M. Tóth

Department of Health Sciences and Sport Medicine, University of Physical EducationHungary
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Tóth, M.
, 
M. Krepuska

M. Krepuska

  • Faculty of Information Technology and Bionics, Pázmány Péter Catholic UniversityHungary
  • Department of Medical Imaging, Semmelweis UniversityHungary
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Krepuska, M.
 e 
L. Grand

L. Grand

  • Faculty of Information Technology and Bionics, Pázmány Péter Catholic UniversityHungary
  • Institute of Advanced StudiesHungary
  • Neurology and Neurosurgery, The Johns Hopkins Hospital
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Grand, L.
  
Accesso libero | 31 dic 2020
Diachronic analysis application for the detection of soccer performance standards: a case study
R Maneiro

R Maneiro

Department of Science of Physical Activity and Sport, Pontifical University of SalamancaSalamanca, Spain
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Maneiro, R
, 
M Amatria

M Amatria

Department of Science of Physical Activity and Sport, Pontifical University of SalamancaSalamanca, Spain
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Amatria, M
 e 
MT Anguera

MT Anguera

Faculty of Psychology, Institute of Neurosciences, University of BarcelonaBarcelona, Spain
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Anguera, MT
  

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Lingua:
Inglese
Frequenza di pubblicazione:
2 volte all'anno
Argomenti della rivista:
Informatica, Base dati e data mining, Informatica, altro, Sport e ricreazione, Educazione fisica, Sport e ricreazione, altro
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