Comparing features extraction and classification methods to recognize ErrP signals (2018)
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: INTERFACE HOMEM-COMPUTADOR, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE SINAIS
ABNT
PINTO, Adam Henrique Moreira et al. Comparing features extraction and classification methods to recognize ErrP signals. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE.2018.00011. Acesso em: 28 mar. 2024.APA
Pinto, A. H. M., Nardari, G. V., Romero, R. A. F., & Mijan, M. A. M. (2018). Comparing features extraction and classification methods to recognize ErrP signals. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LARS/SBR/WRE.2018.00011NLM
Pinto AHM, Nardari GV, Romero RAF, Mijan MAM. Comparing features extraction and classification methods to recognize ErrP signals [Internet]. Proceedings. 2018 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00011Vancouver
Pinto AHM, Nardari GV, Romero RAF, Mijan MAM. Comparing features extraction and classification methods to recognize ErrP signals [Internet]. Proceedings. 2018 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00011