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Articles from other publishers (24)
Andrea Zignoli, Alessandro Fornasiero, Federica Gilli, Barbara Pellegrini & Federico Schena. (2023) How the Oxynet web applications are used to crowdsource and interpret cardiopulmonary exercising tests data. Biomedical Signal Processing and Control 85, pages 104836.
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Andrea Zignoli. (2023) Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary Exercising Tests: From Regression to Generation to Explanation. Sensors 23:2, pages 826.
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Andrea Zignoli & Damiano Fruet. (2022) Automatic generation of realistic cardiopulmonary exercise test data with a conditional generative adversarial neural network. Automatic generation of realistic cardiopulmonary exercise test data with a conditional generative adversarial neural network.
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Bruce Rogers, David Giles, Nick Draper, Olaf Hoos & Thomas Gronwald. (2021) A New Detection Method Defining the Aerobic Threshold for Endurance Exercise and Training Prescription Based on Fractal Correlation Properties of Heart Rate Variability. Frontiers in Physiology 11.
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Andrea Zignoli, Alessandro Fornasiero, Federica Gilli, Barbara Pellegrini & Federico Schena. (2022) How the <i>Oxynet Web</i> Applications are Used to Crowdsource and Interpret Cardiopulmonary Exercising Tests Data. SSRN Electronic Journal.
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