@article{1445886,
      note = {International conference proceedings.},
      author = {Baca, Arnold, and Exel, Juliana, and Lames, Martin, and  James, Nic, and Parmar, Nimai,},
      url = {http://library.usi.edu/record/1445886},
      title = {Proceedings of the 9th International Performance Analysis  Workshop and Conference & 5th IACSS conference /},
      abstract = {This covers the PACSS 2021 which approached  interdisciplinary collaboration between theoretical  computer science and practical performance analysis though  an online workshop and conference. Readers find in this  book the peer-reviewed and discussed evidences on how  computer scientists and performance analysts can and have  worked together to solve both applied and research-based  problems in elite sport, using the methods of computer  science. In this edition, we organize the content according  to four major topics: machine learning, text mining, best  practice and interdisciplinary collaboration. This is a  refined material written by leading experts with up-to-date  overview of research in the multidisciplinary field of  computer science and elite sport performance analysis.},
      doi = {https://doi.org/10.1007/978-3-030-99333-7},
      recid = {1445886},
      pages = {1 online resource :},
}