SCARSELLI FRANCO
Franco
Scarselli
Professore Ordinario
Office hours
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Wednesday from 14:00 to 16:00Place: Edificio S. Niccolo', Via Roma n.56 - stanza 112
Curriculum Vitae
Teaching activities
Completion accademic year: 2025/2026
Course year: 2
Second cycle degree (Laurea Magistrale)
ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING
A.Y. 2024/2025
Completion accademic year: 2024/2025
Course year: 2
Second cycle degree (Laurea Magistrale)
ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING
A.Y. 2023/2024
Completion accademic year: 2023/2024
Course year: 2
Second cycle degree (Laurea Magistrale)
ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING
A.Y. 2022/2023
Completion accademic year: 2022/2023
Course year: 1
Second cycle degree (Laurea Magistrale)
ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING
A.Y. 2022/2023
Completion accademic year: 2021/2022
Course year: 1
Second cycle degree (Laurea Magistrale)
ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING
A.Y. 2021/2022
Research
Ultime pubblicazioni:
- Corradini, B.T., Cullen, B., Gallegati, C., Marziali, S., Alessio D'Inverno, G., Bianchini, M., et al. (2026). Training dynamics of GANs through the lens of persistent homology. NEUROCOMPUTING, 661 [10.1016/j.neucom.2025.131976]. - view more
- Farina, G., Brunori, G., Chessa, S., Kocian, A., Lai, M.B., Nardi, D., et al. (2025). Interoperable Traceability in Supply Chains: A Use Case in Agritech. In Intelligent Transport Systems (pp.29-45). Cham : Springer [10.1007/978-3-031-86370-7_3]. - view more
- D'Inverno, G.A., Bianchini, M., Scarselli, F. (2025). VC dimension of Graph Neural Networks with Pfaffian activation functions. NEURAL NETWORKS, 182 [10.1016/j.neunet.2024.106924]. - view more
- Farina, G., Kocian, A., Brunori, G., Chessa, S., Lai, M.B., Nardi, D., et al. (2025). Interoperable Traceability in Agrifood Supply Chains: Enhancing Transport Systems Through IoT Sensor Data, Blockchain, and DataSpace. SENSORS, 25(11) [10.3390/s25113419]. - view more
- Bonechi, S., Andreini, P., Corradini, B.T., Scarselli, F. (2025). An analysis of pre-trained stable diffusion models through a semantic lens. NEUROCOMPUTING, 614 [10.1016/j.neucom.2024.128846]. - view more