Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions

Andrea Bianchi, Antinisca Di Marco, Francesca Marzi, Giovanni Stilo, Cristina Pellegrini, Stefano Masi, Alessandro Mengozzi, Agostino Virdis, Marco Salvatore Nobile, Marta Simeoni
2023
Cite DOI URL
Type
Conference paper
Publication
36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L’Aquila, Italy, June 22-24, 2023
Antinisca Di Marco
Antinisca Di Marco
Associate Professor

My research interests are Software and Performance Engineering, Data Science, and Quality of Machine Learning.