Ph.D. candidate in Intelligenza Artificiale , 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
Tutors
Teaching
Teachings
Master of Science
- Machine learning and Deep learning. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Advanced Machine Learning. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data analysis and Artificial Intelligence. A.A. 2024/25, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
- Advanced Machine Learning. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data analysis and Artificial Intelligence. A.A. 2023/24, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
Bachelor of Science
- Algoritmi e strutture dati. A.A. 2024/25, INGEGNERIA INFORMATICA. Collaboratore del corso
- Algoritmi e strutture dati. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Iurada, Leonardo; Ciccone, Marco; Tommasi, Tatiana (2024)
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning. In: Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, WA (USA), 16-22 June 2024, pp. 16142-16151. ISBN: 979-8-3503-5300-6
Contributo in Atti di Convegno (Proceeding) - Iurada, Leonardo; Bucci, Silvia; Hospedales, Timothy M.; Tommasi, Tatiana (2024)
Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics. In: IEEE ACCESS, vol. 12, pp. 47854-47867. ISSN 2169-3536
Contributo su Rivista