Damage Detection in Structural Health Monitoring with Spiking Neural Networks. - Luca Zanatta; Francesco Barchi; Alessio Burrello; Andrea Bartolini; Davide Brunelli; Andrea Acquaviva (MetroInd4.0&IoT, 2021)

Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring. - Francesco Barchi; Luca Zanatta; Emanuele Parisi; Alessio Burrello; Davide Brunelli; Andrea Bartolini; Andrea Acquaviva (Future Internet, 2021)

Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance. - Luca Zanatta; Francesco Barchi; Andrea Bartolini; Andrea Acquaviva (CF, 2022)

Event-Based Classification of Defects in Civil Infrastructures with Artificial and Spiking Neural Networks. - Udayanga G. W. K. N. Gamage; Luca Zanatta; Matteo Fumagalli 001; Cesar Cadena 001; Silvia Tolu (IWANN (2), 2023)

Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator. - Luca Zanatta; Alfio Di Mauro; Francesco Barchi; Andrea Bartolini; Luca Benini; Andrea Acquaviva (Neurocomputing, 2023)

NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores. - Simone Manoni; Paul Scheffler; Alfio Di Mauro; Luca Zanatta; Andrea Acquaviva; Luca Benini; Andrea Bartolini (CF (Companion), 2024)

Towards Nano-Drones Agile Flight Using Deep Reinforcement Learning. - Sebastiano Mengozzi; Luca Zanatta; Francesco Barchi; Andrea Bartolini; Andrea Acquaviva (COINS, 2024)

Foundation Models for Structural Health Monitoring. - Luca Benfenati; Daniele Jahier Pagliari; Luca Zanatta; Yhorman Alexander Bedoya Velez; Andrea Acquaviva; Massimo Poncino; Enrico Macii; Luca Benini; Alessio Burrello (CoRR, 2024)

Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning. - Francesco Barchi; Emanuele Parisi; Luca Zanatta; Andrea Bartolini; Andrea Acquaviva (Neural Comput. Appl., 2024)

Bio-Inspired Drone Control: A Reinforcement Learning-Trained Spiking Neural Networks for Agile Navigation in Dynamic Environment. - Yin-Ching Lee; Sebastiano Mengozzi; Luca Zanatta; Andrea Bartolini; Andrea Acquaviva; Francesco Barchi (COINS, 2025)

SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions. - Simone Manoni; Paul Scheffler; Luca Zanatta; Andrea Acquaviva; Luca Benini; Andrea Bartolini (DATE, 2025)

Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark. - Udayanga G. W. K. N. Gamage; Xuanni Huo; Luca Zanatta; T. Delbruck; Cesar Cadena 001; Matteo Fumagalli 001; Silvia Tolu (CoRR, 2025)