Antonio Emmanuele

According to our database, Antonio Emmanuele authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Exploiting Modular Redundancy for approximating Random Forest classifiers.

Antonio Emmanuele, Mario Barbareschi, Alberto Bosio

Future Gener. Comput. Syst., 2026

Reliability analysis of hardware accelerators for decision tree-based classifier systems.

Mario Barbareschi, Salvatore Barone, Alberto Bosio, Antonio Emmanuele

Future Gener. Comput. Syst., 2026

2025

Designing on-board explainable passenger flow prediction.

Mario Barbareschi, Antonio Emmanuele, Nicola Mazzocca, Franca Rocco di Torrepadula

Eng. Appl. Artif. Intell., 2025

Harnessing Explainable AI in Railway: A Decision Tree-Based Approach.

Mario Barbareschi, Antonio Emmanuele, Nicola Mazzocca, Franca Rocco di Torrepadula

Proceedings of the 20th European Dependable Computing Conference, 2025

A Margin Based Early-Stopping Approach for Random Forest Classifiers.

Mario Barbareschi, Antonio Emmanuele

Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

Bridging Efficient and Explainable Traffic Flow Prediction on the Edge.

Mario Barbareschi, Antonio Emmanuele, Nicola Mazzocca, Franca Rocco di Torrepadula

Proceedings of the Advanced Information Networking and Applications, 2025

PUF-Based Secure Key Management for Continuum Computing.

Mario Barbareschi, Valentina Casola, Antonio Emmanuele, Daniele Lombardi

Proceedings of the Advanced Information Networking and Applications, 2025

A Decentralized PUF-Based Scheme for Remote Attestation.

Mario Barbareschi, Antonio Emmanuele, Daniele Lombardi

Proceedings of the Availability, Reliability and Security, 2025

2024

A Lightweight PUF-Based Protocol for Dynamic and Secure Group Key Management in IoT.

Mario Barbareschi, Valentina Casola, Antonio Emmanuele, Daniele Lombardi

IEEE Internet Things J., October, 2024

Exploiting Functional Approximation on Decision-Tree Based Multiple Classifier Systems.

Mario Barbareschi, Salvatore Barone, Antonio Emmanuele, Nicola Mazzocca

Proceedings of the 32nd IFIP/IEEE International Conference on Very Large Scale Integration, 2024

On the adoption of PUF for key agreement scheme in Internet of Things.

Mario Barbareschi, Valentina Casola, Antonio Emmanuele, Daniele Lombardi

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024