Luciano Prono

Orcid: 0000-0003-1507-9092

According to our database1, Luciano Prono authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator.
CoRR, 2024


Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices.
IEEE Internet Things J., July, 2023

Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

PEDRo: an Event-based Dataset for Person Detection in Robotics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020
Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals.
IEEE Trans. Biomed. Circuits Syst., 2020

A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC.
Integr., 2020

Deep Neural Oracle With Support Identification in the Compressed Domain.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Low-Power Fixed-Point Compressed Sensing Decoder with Support Oracle.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA.
Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019


  Loading...