
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
PhD Student in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Tutors
Teaching
Teachings
Master of Science
- Energy management for IoT. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Bachelor of Science
- Tecniche di programmazione. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
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Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (In stampa)
Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Italia, 3/7/2023 - 5/7/2023
Contributo in Atti di Convegno (Proceeding) -
Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; ... (2023)
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. In: IEEE TRANSACTIONS ON COMPUTERS, vol. 72, pp. 744-758. ISSN 0018-9340
Contributo su Rivista -
Burrello, Alessio; JAHIER PAGLIARI, Daniele; Maria Rapa, Pierangelo; Semilia, Matilde; ... (2022)
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. In: ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE, vol. 3, pp. 1-25. ISSN 2691-1957
Contributo su Rivista -
Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier ... (2022)
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. In: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston (USA), August 1 - 3, 2022, pp. 1-6. ISBN: 9781450393546
Contributo in Atti di Convegno (Proceeding) -
Risso, M.; Burrello, A.; Benini, L.; Macii, E.; Poncino, M.; Jahier Pagliari, D. (2022)
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. In: 13th IEEE International Green and Sustainable Computing Conference, IGSC 2022, Pittsburgh, PA, USA, 2022, pp. 1-6. ISBN: 978-1-6654-6550-2
Contributo in Atti di Convegno (Proceeding)