Riccardo Pignari

According to our database, Riccardo Pignari authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The inNuCE Research Infrastructure and the Neuromorphic MLOps for AIoT Prototyping.

Gianvito Urgese, Vittorio Fra, Andrea Pignata, Giuseppe Fanuli, Walter Gallego Gomez, Riccardo Pignari, Michelangelo Barocci, Benedetto Leto, Salvatore Tilocca, Nicola Cassetta, Paolo Montuschi, Enrico Macii

IEEE Internet Things J., 2026

2025

Efficient Solution Validation of Constraint Satisfaction Problems on Neuromorphic Hardware: The Case of Sudoku Puzzles.

Riccardo Pignari, Vittorio Fra, Enrico Macii, Gianvito Urgese

IEEE Trans. Artif. Intell., August, 2025

Path Integral Quantum Annealing Optimizations Validated on 0-1 Multidimensional Knapsack Problem.

Evelina Forno, Riccardo Pignari, Vittorio Fra, Enrico Macii, Gianvito Urgese

IEEE Trans. Emerg. Top. Comput., 2025

2024

ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers.

Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugering, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, Shantanu Chakrabartty

CoRR, 2024

Exploring Spiking Neuron Model Behaviours Through the Analysis of Parameter Space.

Riccardo Pignari, Vittorio Fra, Enrico Macii, Gianvito Urgese

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

2023

Neu-BrAuER: A Neuromorphic Braille Letters Audio-Reader for Commercial Edge Devices.

Vittorio Fra, Andrea Pignata, Riccardo Pignari, Enrico Macii, Gianvito Urgese

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

First steps towards micro-benchmarking the Lava-Loihi neuromorphic ecosystem.

Walter Gallego Gomez, Andrea Pignata, Riccardo Pignari, Vittorio Fra, Enrico Macii, Gianvito Urgese

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

2022

Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications.

Vittorio Fra, Evelina Forno, Riccardo Pignari, Terrence C. Stewart, Enrico Macii, Gianvito Urgese

Neuromorph. Comput. Eng., 2022