Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
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
- Programming techniques. A.A. 2024/25, AGRITECH ENGINEERING. Collaboratore del corso
- Programming techniques. A.A. 2023/24, AGRITECH ENGINEERING. Collaboratore del corso
Bachelor of Science
- Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, ... (In stampa)
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. In: IEEE TRANSACTIONS ON COMPUTERS, pp. 1-14. ISSN 0018-9340
Contributo su Rivista - Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, ... (In stampa)
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. In: ERF 2024 | European Robotics Forum, Rimini (IT), March, 13 - 15, 2024
Contributo in Atti di Convegno (Proceeding) - Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; ... (2024)
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. In: Design, Automation and Test in Europe Conference, 2024, Valencia (ESP), 25-27 March 2024, pp. 1-6. ISSN 1530-1591. ISBN: 978-3-9819263-8-5
Contributo in Atti di Convegno (Proceeding) - Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio (2023)
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization. In: Forum for Specification and Design Languages (FDL), Turin (Italy), September 13-15, 2023, pp. 1-8
Contributo in Atti di Convegno (Proceeding) - Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, ... (2023)
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, pp. 1-15. ISSN 2168-6750
Contributo su Rivista