VIZZARI GIUSEPPE
- U14, Floor: 2, Room: 2061
Wednesday from 9:30 to 11:30 or other days/times always by appointment.
Publications
Chimisso, R., Buršić, S., Marocco, P., Vizzari, G., Ognibene, D. (2023). Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures. Intervento presentato a: The Algonauts Project 2023 - Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures Special session at 2023 Conference on Cognitive Computational Neuroscience, Oxford, UK. Detail
Feliciani, C., Jia, X., Murakami, H., Ohtsuka, K., Vizzari, G., Nishinari, K. (2023). Social groups in pedestrian crowds as physical and cognitive entities: Extent of modeling and motion prediction. TRANSPORTATION RESEARCH. PART A, POLICY AND PRACTICE, 176(October 2023) [10.1016/j.tra.2023.103820]. Detail
Vizzari, G., Briola, D., Cecconello, T. (2023). Curriculum–Based Reinforcement Learning for Pedestrian Simulation: Towards an Explainable Training Process. In Proceedings of the 24th Workshop "From Objects to Agents" (pp.32-48). CEUR-WS. Detail
Bordiu, C., Bufano, F., Cecconello, T., Sciacca, E., Riggi, S., Vizzari, G. (2023). Patterns in the Chaos: An Unsupervised View of Galactic Supernova Remnants. In Machine Learning for Astrophysics
Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 (pp.61-65). Springer Science and Business Media B.V. [10.1007/978-3-031-34167-0_13]. DetailBandini, S., Briola, D., Dennunzio, A., Gasparini, F., Giltri, M., Vizzari, G. (2023). Distance-based affective states in cellular automata pedestrian simulation. NATURAL COMPUTING [10.1007/s11047-023-09957-y]. Detail
Research projects
Awards
Research and teaching assignments
- Visiting Researcher - Ricerca congiunta con membri del gruppo di ricerca del Prof. Nishinari della University of Tokyo, supportata dal programma JSPS Invitation Fellowship Program for Research in Japan (Short Term). - University of Tokyo, 2011