Cene, V. H., Machado, J., & Balbinot, A. (2019). Smoothed arg max Extreme Learning Machine: An Alternative to Avoid Classification Ripple in sEMG Signals. Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), 2019, 6603-6606. https://doi.org/10.1109/EMBC.2019.8856922
Chicago Style (17th ed.) CitationCene, Vinicius Horn, Juliano Machado, and Alexandre Balbinot. "Smoothed Arg Max Extreme Learning Machine: An Alternative to Avoid Classification Ripple in SEMG Signals." Conference Proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) 2019 (2019): 6603-6606. https://doi.org/10.1109/EMBC.2019.8856922.
MLA (9th ed.) CitationCene, Vinicius Horn, et al. "Smoothed Arg Max Extreme Learning Machine: An Alternative to Avoid Classification Ripple in SEMG Signals." Conference Proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), vol. 2019, 2019, pp. 6603-6606, https://doi.org/10.1109/EMBC.2019.8856922.