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ORCIDLorenzo Zino
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2020 – today
- 2024
[j25]Lorenzo Zino
, Mengbin Ye, Brian D. O. Anderson:
Modeling and analyzing competitive epidemic diseases with partial and waning virus-specific and cross-immunity. IFAC J. Syst. Control. 28: 100262 (2024)- [j24]Tianshu Gao, Lorenzo Zino, Mengbin Ye:
Effect of Network Structure and Committed Minority Placement in Promoting Social Diffusion. IEEE Trans. Comput. Soc. Syst. 11(2): 2326-2339 (2024) - [i17]Lorenzo Zino, Mengbin Ye, Giuseppe Carlo Calafiore, Alessandro Rizzo:
Equilibrium Selection in Replicator Equations Using Adaptive-Gain Control. CoRR abs/2407.09305 (2024) - [i16]Julien Corsin, Lorenzo Zino, Mengbin Ye:
An evidence-accumulating drift-diffusion model of competing information spread on networks. CoRR abs/2408.12127 (2024) - 2023
- [j23]Lorenzo Zino, Alessandro Rizzo, Maurizio Porfiri:
The Impact of Deniers on Epidemics: A Temporal Network Model. IEEE Control. Syst. Lett. 7: 685-690 (2023) - [j22]Giuseppe Carlo Calafiore, Francesco Parino, Lorenzo Zino, Alessandro Rizzo:
Dynamic planning of a two-dose vaccination campaign with uncertain supplies. Eur. J. Oper. Res. 304(3): 1269-1278 (2023) - [j21]Hassan Dehghani Aghbolagh, Mengbin Ye, Lorenzo Zino, Zhiyong Chen, Ming Cao:
Coevolutionary Dynamics of Actions and Opinions in Social Networks. IEEE Trans. Autom. Control. 68(12): 7708-7723 (2023) - [j20]Lorenzo Zino, Giacomo Como, Fabio Fagnani:
Fast Spread in Controlled Evolutionary Dynamics. IEEE Trans. Control. Netw. Syst. 10(3): 1555-1567 (2023) - [j19]Kathinka Frieswijk, Lorenzo Zino, Ming Cao:
A Polarized Temporal Network Model to Study the Spread of Recurrent Epidemic Diseases in a Partially Vaccinated Population. IEEE Trans. Netw. Sci. Eng. 10(6): 3732-3743 (2023) - [c12]Lorenzo Zino, Mengbin Ye, Alessandro Rizzo, Giuseppe Carlo Calafiore:
On Adaptive-Gain Control of Replicator Dynamics in Population Games. CDC 2023: 485-490 - [c11]Michele Pagone, Lorenzo Zino, Carlo Novara:
A Pontryagin-Based Game-Theoretic Approach for Robust Nonlinear Model Predictive Control. CDC 2023: 5532-5537 - [i15]Lorenzo Zino, Mengbin Ye, Alessandro Rizzo, Giuseppe Carlo Calafiore:
On Adaptive-Gain Control of Replicator Dynamics in Population Games. CoRR abs/2306.14469 (2023) - [i14]Jinze Wu, Lorenzo Zino, Zhiyun Lin, Alessandro Rizzo:
Distributed Finite-Time Cooperative Localization for Three-Dimensional Sensor Networks. CoRR abs/2309.11411 (2023) - 2022
- [j18]Christian Bongiorno, Lorenzo Zino:
A multi-layer network model to assess school opening policies during a vaccination campaign: a case study on COVID-19 in France. Appl. Netw. Sci. 7(1): 12 (2022) - [j17]Daniel Alberto Burbano Lombana, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri:
Activity-driven network modeling and control of the spread of two concurrent epidemic strains. Appl. Netw. Sci. 7(1): 66 (2022) - [j16]Kathinka Frieswijk, Lorenzo Zino, Mengbin Ye, Alessandro Rizzo, Ming Cao:
A Mean-Field Analysis of a Network Behavioral-Epidemic Model. IEEE Control. Syst. Lett. 6: 2533-2538 (2022) - [j15]Alain Govaert, Lorenzo Zino, Emma Tegling:
Population Games on Dynamic Community Networks. IEEE Control. Syst. Lett. 6: 2695-2700 (2022) - [j14]Qiang Wang, Wangli He, Lorenzo Zino, Dayu Tan, Weimin Zhong:
Bipartite consensus for a class of nonlinear multi-agent systems under switching topologies: A disturbance observer-based approach. Neurocomputing 488: 130-143 (2022) - [j13]Qiang Wang, Lorenzo Zino, Dayu Tan, Jiapeng Xu, Weimin Zhong:
Fully distributed quantized secure bipartite consensus control of nonlinear multiagent systems subject to denial-of-service attacks. Neurocomputing 505: 101-115 (2022) - [j12]Qiang Wang, Weilu Diao, Lorenzo Zino, Xin Peng, Weimin Zhong:
Observer-Based Secure Event-Triggered Bipartite Consensus Control of Linear Multiagent Systems Subject to Denial-of-Service Attacks. IEEE Trans. Circuits Syst. II Express Briefs 69(12): 5054-5058 (2022) - [c10]Kathinka Frieswijk, Lorenzo Zino, Ming Cao:
Modelling the Effect of Vaccination and Human Behaviour on the Spread of Epidemic Diseases on Temporal Networks. ECC 2022: 2291-2296 - [i13]Alain Govaert, Lorenzo Zino, Emma Tegling:
Population games on dynamic community networks. CoRR abs/2203.00371 (2022) - [i12]Hassan Dehghani Aghbolagh, Mengbin Ye, Lorenzo Zino, Ming Cao, Zhiyong Chen:
Coevolutionary Dynamics of Actions and Opinions in Social Networks. CoRR abs/2206.07242 (2022) - 2021
- [j11]Jalil Hasanyan, Lorenzo Zino, Agnieszka Truszkowska, Alessandro Rizzo, Maurizio Porfiri:
Analysis of the Heterogeneous Vectorial Network Model of Collective Motion. IEEE Control. Syst. Lett. 5(3): 1103-1108 (2021) - [j10]Giacomo Como, Fabio Fagnani, Lorenzo Zino:
Imitation Dynamics in Population Games on Community Networks. IEEE Trans. Control. Netw. Syst. 8(1): 65-76 (2021) - [c9]Carlo Cenedese, Lorenzo Zino, Michele Cucuzzella, Ming Cao:
Optimal policy design to mitigate epidemics on networks using an SIS model. CDC 2021: 4266-4271 - [c8]Lorenzo Zino, Mengbin Ye, Ming Cao:
On modeling social diffusion under the impact of dynamic norms. CDC 2021: 4976-4981 - [c7]Rafael Cunha, Lorenzo Zino, Ming Cao:
On imitation dynamics in population games with Markov switching. ECC 2021: 722-727 - [c6]Kathinka Frieswijk, Lorenzo Zino, Ming Cao:
Modelling Behavioural Preferences in Epidemic Models for Sexually Transmitted Infections on Temporal Networks. ECC 2021: 1491-1496 - [i11]Agnieszka Truszkowska, Brandon Behring, Jalil Hasanyan, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri:
High-resolution agent-based modeling of COVID-19 spreading in a small town. CoRR abs/2101.05171 (2021) - [i10]Lorenzo Zino, Mengbin Ye, Ming Cao:
A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems. CoRR abs/2102.09285 (2021) - [i9]Lorenzo Zino, Ming Cao:
Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models. CoRR abs/2103.00181 (2021) - [i8]Christian Bongiorno, Lorenzo Zino:
A multi-layer network model to assess school opening policies during the COVID-19 vaccination campaign. CoRR abs/2103.12519 (2021) - [i7]Agnieszka Truszkowska, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri:
Predicting the effects of waning vaccine immunity against COVID-19 through high-resolution agent-based modeling. CoRR abs/2109.08660 (2021) - 2020
- [j9]Matthieu Nadini, Lorenzo Zino, Alessandro Rizzo, Maurizio Porfiri:
A multi-agent model to study epidemic spreading and vaccination strategies in an urban-like environment. Appl. Netw. Sci. 5(1): 68 (2020) - [j8]Lorenzo Zino, Alessandro Rizzo, Maurizio Porfiri:
On Assessing Control Actions for Epidemic Models on Temporal Networks. IEEE Control. Syst. Lett. 4(4): 797-802 (2020) - [j7]Lorenzo Zino, Alessandro Rizzo, Maurizio Porfiri:
Analysis and control of epidemics in temporal networks with self-excitement and behavioral changes. Eur. J. Control 54: 1-11 (2020) - [j6]Lorenzo Zino, Alessandro Rizzo, Maurizio Porfiri:
Consensus Over Activity-Driven Networks. IEEE Trans. Control. Netw. Syst. 7(2): 866-877 (2020) - [c5]Lorenzo Zino, Mengbin Ye, Ming Cao:
A Coevolutionary Model for Actions and Opinions in Social Networks. CDC 2020: 1110-1115 - [i6]Mengbin Ye, Lorenzo Zino, Alessandro Rizzo, Ming Cao:
Modelling epidemic dynamics under collective decision making. CoRR abs/2008.01971 (2020) - [i5]Giacomo Como, Fabio Fagnani, Lorenzo Zino:
Imitation dynamics in population games on community networks. CoRR abs/2009.10020 (2020)
2010 – 2019
- 2019
- [j5]Christian Bongiorno, Lorenzo Zino, Alessandro Rizzo:
A novel framework for community modeling and characterization in directed temporal networks. Appl. Netw. Sci. 4(1): 10:1-10:25 (2019) - [j4]Lorenzo Zino:
Time to Extinction for the SIS Epidemic Model: New Bounds on the Tail Probabilities. IEEE Trans. Netw. Sci. Eng. 6(1): 74-81 (2019) - [c4]Lorenzo Zino, Alessandro Rizzo, Maurizio Porfiri:
Effect of self-excitement and behavioral factors on epidemics on activity driven networks. ECC 2019: 1512-1517 - [i4]Lorenzo Zino, Giacomo Como, Fabio Fagnani:
Fast Spread in Controlled Evolutionary Dynamics. CoRR abs/1910.04718 (2019) - 2018
- [j3]Lorenzo Zino, Alessandro Rizzo, Maurizio Porfiri:
Modeling Memory Effects in Activity-Driven Networks. SIAM J. Appl. Dyn. Syst. 17(4): 2830-2854 (2018) - [c3]Christian Bongiorno, Lorenzo Zino, Alessandro Rizzo:
On Unveiling the Community Structure of Temporal Networks. CDC 2018: 6210-6215 - [c2]Lorenzo Zino, Giacomo Como, Fabio Fagnani:
On stochastic imitation dynamics in large-scale networks. ECC 2018: 2176-2181 - [i3]Lorenzo Zino, Giacomo Como, Fabio Fagnani:
On stochastic imitation dynamics in large-scale networks. CoRR abs/1803.02265 (2018) - 2017
- [j2]Lorenzo Zino, Alessandro Rizzo, Maurizio Porfiri:
An analytical framework for the study of epidemic models on activity driven networks. J. Complex Networks 5(6): 924-952 (2017) - [j1]Fabio Fagnani, Lorenzo Zino:
Diffusion of Innovation in Large Scale Graphs. IEEE Trans. Netw. Sci. Eng. 4(2): 100-111 (2017) - [c1]Lorenzo Zino, Giacomo Como, Fabio Fagnani:
On imitation dynamics in potential population games. CDC 2017: 757-762 - [i2]Lorenzo Zino, Giacomo Como, Fabio Fagnani:
On imitation dynamics in potential population games. CoRR abs/1709.04748 (2017) - 2016
- [i1]Fabio Fagnani, Lorenzo Zino:
Diffusion of innovation in large scale graphs. CoRR abs/1602.05413 (2016)
Coauthor Index
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last updated on 2024-09-30 01:01 CEST by the dblp team
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