VIZZARI GIUSEPPE

Guidotti, S., Donabauer, G., Taibi, D., Vizzari, G., Kruschwitz, U., Ognibene, D. (2026). Introducing a Novel Framework for Recognizing Social Media Recommenders Under Absent Recommendations and a First Graph Neural Network-Based Implementation. Intervento presentato a: 7th International Workshop on Agents for Societal Impact (ASI). In conjunction with the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Paphos, Cyprus. Detail

Sormani, L., Vizzari, G., De Paoli, F. (2026). Information-Extraction-Guided LLM Generation of WoT Thing Descriptions for Services. In 2026 IEEE International Conference on Smart Computing Workshops and Other Affiliated events (SmartComp Companion) (pp.255-260) [10.1109/smartcomp-companion70724.2026.00060]. Detail

Guidotti, S., Donabauer, G., Taibi, D., Vizzari, G., Kruschwitz, U., Ognibene, D. (2026). Toward Recognizing Social Media Recommenders under Absent Recommendations: A Graph Neural Network-based Approach. In AAMAS '26: Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems (pp.3658-3660). Association for Computing Machinery, Inc [10.65109/ymxq7472]. Detail

Serrano, Á., Lujak, M., Vizzari, G. (2026). When shortest is not safest: Multi-agent evacuation with awareness and agile routing in dynamic hazards. SIMULATION MODELLING PRACTICE AND THEORY, 150(July 2026) [10.1016/j.simpat.2026.103294]. Detail

Vizzari, G., Falbo, A., Tenderini, R., Briola, D. (2026). RL-Godot pedestrian simulation: curriculum-based reinforcement learning for pedestrian simulation. In Pedestrian and Evacuation Dynamics 2025 (pp.323-329). Ceske Vysoke Uceni Technicke,Czech Technical University in Prague [10.14311/app.2026.57.0323]. Detail