Arquivo
CLINICALLY RELEVANT SOUND-BASED FEATURES IN COVID-19 IDENTIFICATION ROBUSTNESS ASSESSMENT WITH A DATA-CENTRIC MACHINE LEARNING PIPELINE
Pedro Matias1, João Costa1, André V. Carreiro1, et al, incluindo Pedro Carreiro-Martins2 e Nuno Neuparth2
2023
Pedro Matias1, João Costa1, André V. Carreiro1, et al, incluindo Pedro Carreiro-Martins2 e Nuno Neuparth2