Luca Zanatta
Orcid: 0000-0002-4654-4690
According to our database1,
Luca Zanatta
authored at least 12 papers
between 2021 and 2025.
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Bibliography
2025
Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark.
CoRR, April, 2025
SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions.
Proceedings of the Design, Automation & Test in Europe Conference, 2025
Bio-Inspired Drone Control: A Reinforcement Learning-Trained Spiking Neural Networks for Agile Navigation in Dynamic Environment.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025
2024
Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning.
Neural Comput. Appl., October, 2024
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores.
Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024
2023
Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator.
Neurocomputing, December, 2023
Event-Based Classification of Defects in Civil Infrastructures with Artificial and Spiking Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2023
2022
Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022
2021
Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring.
Future Internet, 2021
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021