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2020 – today
- 2026
[j3]Nicola Capuano
, Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento:
Graph neural networks for IoT security: A comparative study. Internet Things 36: 101863 (2026)- 2025
- [j2]Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento:
Detecting malicious IoT network communication through Graph Neural Networks in real-world conditions. Pattern Recognit. Lett. 189: 92-98 (2025) - [c5]Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento:
VF-GPU: Exploiting Parallel GPU Architectures to Solve Subgraph Isomorphism. GbRPR 2025: 113-123 - [c4]Giuseppe De Simone, Pasquale Foggia, Francesco Rosa, Alessia Saggese, Mario Vento:
Evolving roles of intelligent robots in social and industrial domains. Ital-IA 2025 - [d3]Francesco Rosa, Vincenzo Carletti, Pasquale Foggia, Mario Vento:
Graph-Based IoT Network Anomaly Detection. Zenodo, 2025
- [d2]Mario Vento, Pierluigi Ritrovato, Antonio Greco, Vincenzo Carletti, Alessia Saggese, Giuseppe De Simone, Francesco Rosa:
MIVIA Gesture (FELICE Project). Version 2. Zenodo, 2025 [all versions] - [d1]Mario Vento, Alessia Saggese, Vincenzo Carletti, Antonio Greco, Pierluigi Ritrovato, Francesco Rosa, Giuseppe De Simone:
MIVIA Speech Command (FELICE Project). Version 2. Zenodo, 2025 [all versions] - 2024
- [c3]Pasquale Foggia, Francesco Rosa, Mario Vento:
Enhancing Robotic Demonstration-Based Learning Method with Preliminary Visual Target Localization. ERF (1) 2024: 212-217 - [c2]Pasquale Foggia, Francesco Rosa, Mario Vento:
Improving Learning from Visual Demonstration Methods by Target Localization. RO-MAN 2024: 740-747 - [c1]Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento:
Enhancing IoT Network Security with Graph Neural Networks for Node Anomaly Detection. S+SSPR 2024: 41-51 - 2020
- [j1]Wei Liu, Francesco Rosa, Gaetano Cascini, Runhua Tan:
Effects of Function-Based Models in Biologically Inspired Design. J. Integr. Des. Process. Sci. 24(1): 85-108 (2020)
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