Scholar
Francesco Spinnato
Google Scholar ID: Mw4YQjwAAAAJ
Assistant Professor (RTD-A) @ University of Pisa
Citations & Impact
Citations
345
H-index
5
i10-index
4
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- No specific academic achievements mentioned.
Research Experience
- Involved in the MIMOSA project, which aims to extract interpretable and ethically responsible predictive models by leveraging advanced techniques such as Deep Learning, Evolutionary Algorithms, and Quantum-Inspired Machine Learning. Has active international collaborations in the field of interpretable machine learning and contributes to several European-funded projects, including SoBigData++ and HumanE-AI-Net, where he works on the development of transparent and human-centered AI systems.
Education
- Ph.D. in Data Science from Scuola Normale Superiore in 2024; M.S. in Data Science from the University of Pisa in 2020; B.S. in Economics and Management from the University of Padua in 2017.
Background
- Research Interests: Explainable AI, particularly on interpreting black-box models for sequential data. Professional Field: Computer Science. Brief Introduction: Assistant Professor (RTD-A) at the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDD Lab).
Miscellany
- No information about personal interests or hobbies.
