A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA. - Luciano Prono; Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (PRIME, 2019)

Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles. - Mauro Mangia; Alex Marchioni; Luciano Prono; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (AICAS, 2020)

Low-Power Fixed-Point Compressed Sensing Decoder with Support Oracle. - Luciano Prono; Mauro Mangia; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (ISCAS, 2020)

Deep Neural Oracle With Support Identification in the Compressed Domain. - Luciano Prono; Mauro Mangia; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC. - Carmine Paolino; Luciano Prono; Fabio Pareschi; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (Integr., 2020)

Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals. - Mauro Mangia; Luciano Prono; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE Trans. Biomed. Circuits Syst., 2020)

An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction. - Luciano Prono; Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2021)

Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing. - Philippe Bich; Luciano Prono; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2022)

A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification. - Luciano Prono; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (ISCAS, 2022)

PEDRo: an Event-based Dataset for Person Detection in Robotics. - Chiara Boretti; Philippe Bich; Fabio Pareschi; Luciano Prono; Riccardo Rovatti; Gianluca Setti (CVPR Workshops, 2023)

Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units. - Chiara Boretti; Luciano Prono; Charlotte Frenkel; Giacomo Indiveri; Fabio Pareschi; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (ISCAS, 2023)

Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation. - Philippe Bich; Luciano Prono; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (MWSCAS, 2023)

Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices. - Alex Marchioni; Luciano Prono; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE Internet Things J., 2023)

Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning. - Philippe Bich; Chiara Boretti; Luciano Prono; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (AICAS, 2024)

Memory in Motion: Exploring Leaky Integration of Time Surfaces for Event-based Eye-tracking. - Chiara Boretti; Philippe Bich; Luciano Prono; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2024)

Event-Based Eye Tracking. AIS 2024 Challenge Survey. - Zuowen Wang; Chang Gao 002; Zongwei Wu; Marcos V. Conde; Radu Timofte; Shih-Chii Liu; Qinyu Chen; Zhengjun Zha; Wei Zhai; Han Han; Bohao Liao; Yuliang Wu; et al. (CVPR Workshops, 2024)

Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator. - Alejandro Linares-Barranco; Luciano Prono; Robert Legenstein; Giacomo Indiveri; Charlotte Frenkel (CoRR, 2024)

AI-Based Optimization of a DC-DC Buck Converter Control Network Across DCM and CCM Operating Region. - Lorenzo Nikiforos; Giuseppe Gabriele; Francesco Gabriele; Luciano Prono; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (ISCAS, 2025)

A simple approach to ECG Motion Artifacts Reduction by MDWD Coefficients Removal. - Elisabetta Spinazzola; Luciano Prono; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (ISCAS, 2025)

A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks. - Luciano Prono; Philippe Bich; Chiara Boretti; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE Trans. Neural Networks Learn. Syst., 2025)

On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons. - Philippe Bich; Andriy Enttsel; Luciano Prono; Alex Marchioni; Fabio Pareschi; Mauro Mangia; Gianluca Setti; Riccardo Rovatti (IEEE Trans. Pattern Anal. Mach. Intell., 2025)