Francesco Rosa

According to our database, Francesco Rosa authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Graph neural networks for IoT security: A comparative study.

Nicola Capuano, Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento

Internet Things, 2026

2025

Graph-Based IoT Network Anomaly Detection.

Francesco Rosa, Vincenzo Carletti, Pasquale Foggia, Mario Vento

Dataset, April, 2025

MIVIA Speech Command (FELICE Project).

Mario Vento, Alessia Saggese, Vincenzo Carletti, Antonio Greco, Pierluigi Ritrovato, Francesco Rosa, Giuseppe De Simone

Dataset, January, 2025

MIVIA Gesture (FELICE Project).

Mario Vento, Pierluigi Ritrovato, Antonio Greco, Vincenzo Carletti, Alessia Saggese, Giuseppe De Simone, Francesco Rosa

Dataset, January, 2025

Detecting malicious IoT network communication through Graph Neural Networks in real-world conditions.

Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento

Pattern Recognit. Lett., 2025

Evolving roles of intelligent robots in social and industrial domains.

Giuseppe De Simone, Pasquale Foggia, Francesco Rosa, Alessia Saggese, Mario Vento

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

VF-GPU: Exploiting Parallel GPU Architectures to Solve Subgraph Isomorphism.

Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento

Proceedings of the Graph-Based Representations in Pattern Recognition, 2025

2024

Enhancing IoT Network Security with Graph Neural Networks for Node Anomaly Detection.

Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2024

Improving Learning from Visual Demonstration Methods by Target Localization.

Pasquale Foggia, Francesco Rosa, Mario Vento

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Enhancing Robotic Demonstration-Based Learning Method with Preliminary Visual Target Localization.

Pasquale Foggia, Francesco Rosa, Mario Vento

Proceedings of the European Robotics Forum 2024, 2024

2020

Effects of Function-Based Models in Biologically Inspired Design.

Wei Liu, Francesco Rosa, Gaetano Cascini, Runhua Tan

J. Integr. Des. Process. Sci., 2020