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0555166 - ÚPT 2022 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Rohr, M. - Plešinger, Filip - Bulková, V. - Antink, C. H.
Improving Machine Learning Education during the COVID-Pandemic Using Past Computing in Cardiology Challenges.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 55. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
Institucionální podpora: RVO:68081731
Klíčová slova: ECG * Machine-learning * Classification * Atrial Fibrillation
Obor OECD: Medical engineering
https://ieeexplore.ieee.org/document/9662955
Trvalý link: http://hdl.handle.net/11104/0329696
Rohr, M. - Plešinger, Filip - Bulková, V. - Antink, C. H.
Improving Machine Learning Education during the COVID-Pandemic Using Past Computing in Cardiology Challenges.
2021 Computing in Cardiology (CinC). Vol. 48. New York: IEEE, 2021, č. článku 55. ISBN 978-166547916-5. ISSN 2325-8861. E-ISSN 2325-887X.
[Computing in Cardiology 2021 /48./. Brno (CZ), 12.09.2021-15.09.2021]
Institucionální podpora: RVO:68081731
Klíčová slova: ECG * Machine-learning * Classification * Atrial Fibrillation
Obor OECD: Medical engineering
https://ieeexplore.ieee.org/document/9662955
Trvalý link: http://hdl.handle.net/11104/0329696