
PhD Student in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Tutors
Research interests
Teaching
Teachings
Bachelor of Science
- Informatica. A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Future of Work (Grandi Sfide - Tecnologie e Umanità). A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
- Informatica. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Bellarmino, Nicolo; Cantoro, Riccardo; Huch, Martin; Kilian, Tobias; Schlichtmann, Ulf; ... (In stampa)
Transfer Learning in MCU Performance Screening. In: IEEE International Test Conference (ITC 2023), Anaheim, CA 92802, Stati Uniti, 8-13 Ottobre 2023
Contributo in Atti di Convegno (Proceeding) - Bellarmino, Nicolo; Cantoro, Riccardo; Huch, Martin; Kilian, Tobias; Schlichtmann, Ulf; ... (In stampa)
Enabling Inter-Product Transfer Learning on MCU Performance Screening. In: IEEE 32nd Asian Test Symposium, Pechino, (Beijing), 14-17 Ottobre 2023
Contributo in Atti di Convegno (Proceeding) - Bellarmino, Nicolo'; Cantoro, Riccardo; Huch, Martin; Kilian, Tobias; Schlichtmann, Ulf; ... (2023)
Feature Selection for Cost Reduction in MCU Performance Screening. In: 24th IEEE Latin-American Test Symposium (LATS), Veracruz (MEX), 21-24 Marzo 2023, pp. 1-6. ISBN: 979-8-3503-2597-3
Contributo in Atti di Convegno (Proceeding) - Bellarmino, Nicolo' (2023)
Machine Learning for Microcontroller Performance Screening. In: 2023 IEEE European Test Symposium, Venezia, (IT), 22-26 Maggio 2023
Contributo in Atti di Convegno (Proceeding) - Bellarmino, Nicolo’; Cantoro, Riccardo; Squillero, Giovanni (2023)
U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration. In: The 9th International Conference on Machine Learning, Optimization, and Data Science (LOD 2023), Grasmere, Lake District, England – UK, September 22 – 26, 2023
Contributo in Atti di Convegno (Proceeding)