| A tinyml platform for on-device continual learning with quantized latent replays L Ravaglia, M Rusci, D Nadalini, A Capotondi, F Conti, L Benini IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021 | 85 | 2021 |
| Pulp-trainlib: Enabling on-device training for risc-v multi-core mcus through performance-driven autotuning D Nadalini, M Rusci, G Tagliavini, L Ravaglia, L Benini, F Conti International Conference on Embedded Computer Systems, 200-216, 2022 | 25 | 2022 |
| Tackling time-variability in sEMG-based gesture recognition with on-device incremental learning and temporal convolutional networks A Burrello, M Zanghieri, C Sarti, L Ravaglia, S Benatti, L Benini 2021 IEEE Sensors Applications Symposium (SAS), 1-6, 2021 | 15 | 2021 |
| Memory-latency-accuracy trade-offs for continual learning on a risc-v extreme-edge node L Ravaglia, M Rusci, A Capotondi, F Conti, L Pellegrini, V Lomonaco, ... 2020 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2020 | 15 | 2020 |
| Modeling and control algorithms for product phasing using smart belts L Ravaglia | | |
Luca BeniniETH Zürich, Università di BolognaVerified email at unibo.it
