New approach methodologies for risk assessment using deep learning
Autor(es) y otros:
Fecha de publicación:
2024
Versión del editor:
Citación:
Efsa Journal, 22, (2024); doi:10.2903/j.efsa.2024.e221105
ISSN:
Patrocinado por:
This report is funded by EFSA as part of the EU\FORA programme. The Authors wishes to thank the following for the support provided to this scientific output: Marco Chino, Francesco Altiero, Angelo Ciaramella. A special thanks to Beatriz Remeseiro, who has taught Enol Junquera much of what he has applied in this work.
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