1 code implementation • 21 Mar 2023 • Yannis Papanikolaou, Francesco Tuveri, Misa Ogura, Daniel O'Donovan
In this work we present a deep learning approach to conduct hypothesis-free, transcriptomics-based matching of drugs for diseases.
no code implementations • 26 Oct 2020 • Giacomo Ferroni, Nicolas Turpault, Juan Azcarreta, Francesco Tuveri, Romain Serizel, Çagdaş Bilen, Sacha Krstulović
The ranking of sound event detection (SED) systems may be biased by assumptions inherent to evaluation criteria and to the choice of an operating point.
4 code implementations • 18 Oct 2019 • Cagdas Bilen, Giacomo Ferroni, Francesco Tuveri, Juan Azcarreta, Sacha Krstulovic
This work defines a new framework for performance evaluation of polyphonic sound event detection (SED) systems, which overcomes the limitations of the conventional collar-based event decisions, event F-scores and event error rates (ERs).
Audio and Speech Processing Sound