FABIO FAGNANI
/fabio.fagnani)
Professore Ordinario
(Dipartimento di Scienze Matematiche "G. L. Lagrange")
+39 0110907509 / 7509 (DISMA)
Pubblicazioni più recenti
Zino, Lorenzo; Como, Giacomo; Fagnani, Fabio (2023)
Fast Spread in Controlled Evolutionary Dynamics. In: IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS. ISSN 2325-5870
Fast Spread in Controlled Evolutionary Dynamics. In: IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS. ISSN 2325-5870
Como, Giacomo; Fagnani, Fabio; Proskurnikov, Anton V. (2022)
Reaching Optimal Distributed Estimation Through Myopic Self-Confidence Adaptation. In: 25th IFAC Symposium on Mathematical Theory of Networks and Systems MTNS 2022, Bayreuth, Germania, 12/09/2022-16/09/2022, pp. 442-447. ISSN 2405-8963
Reaching Optimal Distributed Estimation Through Myopic Self-Confidence Adaptation. In: 25th IFAC Symposium on Mathematical Theory of Networks and Systems MTNS 2022, Bayreuth, Germania, 12/09/2022-16/09/2022, pp. 442-447. ISSN 2405-8963
Alutto, Martina; Cianfanelli, Leonardo; Como, Giacomo; Fagnani, Fabio (2022)
Multiple peaks in network SIR epidemic models. In: 61st IEEE Conference on Decision and Control, CDC 2022, Cancùn (Mexico), December 6-9, 2022, pp. 5614-5619. ISBN: 978-1-6654-6761-2
Multiple peaks in network SIR epidemic models. In: 61st IEEE Conference on Decision and Control, CDC 2022, Cancùn (Mexico), December 6-9, 2022, pp. 5614-5619. ISBN: 978-1-6654-6761-2
Bernardini, S; Fagnani, F; Piacentini, C (2021)
A unifying look at sequence submodularity. In: ARTIFICIAL INTELLIGENCE, vol. 297. ISSN 0004-3702
A unifying look at sequence submodularity. In: ARTIFICIAL INTELLIGENCE, vol. 297. ISSN 0004-3702
Alutto, Martina; Como, Giacomo; Fagnani, Fabio (2021)
On SIR epidemic models with feedback-controlled interactions and network effects. In: 60th IEEE Conference on Decision and Control (CDC 2021), Austin (TX, USA), December 14-17, 2021, pp. 5562-5567. ISBN: 978-1-6654-3659-5
On SIR epidemic models with feedback-controlled interactions and network effects. In: 60th IEEE Conference on Decision and Control (CDC 2021), Austin (TX, USA), December 14-17, 2021, pp. 5562-5567. ISBN: 978-1-6654-3659-5