Clinically Relevant Sound-based Features in COVID-19 Identification: Robustness Assessment with a Data-Centric Machine Learning Pipeline

Pedro Matias, Joao Costa, Andre V. Carreiro, Hugo Gamboa, Ines Sousa, Pedro Gomez, Joana Sousa, Nuno Neuparth, Pedro Carreiro-Martins, Filipe Soares

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)
55 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Clinically Relevant Sound-based Features in COVID-19 Identification: Robustness Assessment with a Data-Centric Machine Learning Pipeline'. Together they form a unique fingerprint.

Engineering & Materials Science

Chemistry