| Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring F Barchi, L Zanatta, E Parisi, A Burrello, D Brunelli, A Bartolini, ... Future Internet 13 (8), 219, 2021 | 13 | 2021 |
| Damage Detection in Structural Health Monitoring with Spiking Neural Networks L Zanatta, F Barchi, A Burrello, A Bartolini, D Brunelli, A Acquaviva 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2021 | 11 | 2021 |
| Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator L Zanatta, A Di Mauro, F Barchi, A Bartolini, L Benini, A Acquaviva Neurocomputing 562, 126885, 2023 | 7 | 2023 |
| Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance L Zanatta, F Barchi, A Bartolini, A Acquaviva Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 3 | 2022 |
| A method for accelerated simulations of reinforcement learning tasks of UAVs in AirSim A Musa, L Zanatta, F Barchi, B Andrea, A Andrea SIMUL 2022, The Fourteenth International Conference on Advances in System …, 2022 | 3 | 2022 |
| Event-Based Classification of Defects in Civil Infrastructures with Artificial and Spiking Neural Networks UK Gamage, L Zanatta, M Fumagalli, C Cadena, S Tolu International Work-Conference on Artificial Neural Networks, 629-640, 2023 | 2 | 2023 |
| Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning F Barchi, E Parisi, L Zanatta, A Bartolini, A Acquaviva Neural Computing and Applications, 1-21, 2024 | | 2024 |
| Towards Nano-Drones Agile Flight Using Deep Reinforcement Learning S Mengozzi, L Zanatta, F Barchi, A Bartolini, A Acquaviva 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2024 | | 2024 |
| Exploring Spiking Neural Networks for Deep Reinforcement Learning in Robotic Tasks: A Comparative Study L Zanatta, F Barchi, S Manoni, S Tolu, A Bartolini, A Acquaviva | | 2024 |
| NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores S Manoni, P Scheffler, A Di Mauro, L Zanatta, A Acquaviva, L Benini, ... Proceedings of the 21st ACM International Conference on Computing Frontiers …, 2024 | | 2024 |
| Foundation Models for Structural Health Monitoring L Benfenati, DJ Pagliari, L Zanatta, YAB Velez, A Acquaviva, M Poncino, ... arXiv preprint arXiv:2404.02944, 2024 | | 2024 |
| Directly training spiking neural networks for cyber-physical systems: from supervised to reinforcement learning L Zanatta alma, 2024 | | 2024 |
| Unsupervised Vehicle Classification Using a Structural Health Monitoring System AA MOALLEMI, L Zanatta, A Burrello, M Salvaro, M Longo, P Darò, ... STRUCTURAL HEALTH MONITORING 2023, 2023 | | 2023 |
