
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
Research topic
AI, Data Analysis and Machine Learning in MicroController Performance Screening
Tutors
Research interests
Biography
Teaching
Teachings
Bachelor of Science
- Future of Work (Grandi Sfide - Tecnologie e Umanità). A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
- Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2023/24, 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)