Bodria Francesco
Francesco Bodria was born in 1995 in Parma, Italy. He graduated in Physics (bachelor degree) at University of Parma and in Physics of Complex Systems (master degree) at the University of Turin in 2019.
Currently, he is a PhD fellow in Data Science in the joint program offered by Scuola Normale Superiore, Scuola Superiore Sant'Anna, University of Pisa, IMT Lucca and National Research Council.
His research focus is on eXplainable AI algorithms in particular on interpretable by design methods.
2019 Master's degree in Physics of Complex Systems at Università degli Studi di Torino, graduated with honours
2017 Bachelor degree in Physics at Università degli Studi di Parma
- Position
- Ph.D. Student
- Affiliation
- Scuola Normale Superiore
- Skype
- francesco.bodria95_1
- Google Scholar
- Francesco Bodria on Google Scholar
- Francesco Bodria on LinkedIn
Projects
None
Publications
2021
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, “Explainable for Trustworthy AI”, in Human-Centered Artificial Intelligence - Advanced Lectures, 18th European Advanced Course on AI, ACAI 2021, Berlin, Germany, October 11-15, 2021, extended and improved lecture notes, 2021.
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, “Benchmarking and Survey of Explanation Methods for Black Box Models”, CoRR, vol. abs/2102.13076, 2021.