Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
The decision-making process followed by machine learning models is often unobservable. For this reason, it is essential to develop methodologies that make this process more transparent.
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Research presentation
Research interests
Biography
Teaching
Teachings
Bachelor of Science
- Basi di dati. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
- Basi di dati. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- DE SANTIS, Francesco; Giordano, Danilo; Mellia, Marco; Damilano, Alessia (2023)
GLEm-Net: Unified Framework for Data Reduction with Categorical and Numerical Features. In: 2023 IEEE International Conference on Big Data (Big Data), Sorrento, Italy, 15-18 December 2023, pp. 4240-4247. ISBN: 979-8-3503-2445-7
Contributo in Atti di Convegno (Proceeding)