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Victor M Preciado

Showing results (1-10 of 10) with videos related to

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Physical Review. E|July 15, 2016
Epidemic processes over adaptive state-dependent networksMasaki Ogura, Victor M Preciado
Annual Reviews in Control|May 27, 2021
Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approachMikhail Hayhoe, Francisco Barreras, Victor M Preciado
Journal of Neural Engineering|August 9, 2018
Large-scale dynamic modeling of task-fMRI signals via subspace system identificationCassiano O Becker, Danielle S Bassett, Victor M Preciado
Physical Review. E|June 17, 2017
Delayed bet-hedging resilience strategies under environmental fluctuationsMasaki Ogura, Masashi Wakaiki, Harvey Rubin, et al.
Scientific Reports|January 6, 2017
Trade-offs between driving nodes and time-to-control in complex networksSérgio Pequito, Victor M Preciado, Albert-László Barabási, et al.
Scientific Reports|March 10, 2017
Corrigendum: Trade-offs between driving nodes and time-to-control in complex networksSérgio Pequito, Victor M Preciado, Albert-László Barabási, et al.
Annual Reviews in Control|July 5, 2021
Data-driven methods for present and future pandemics: Monitoring, modelling and managingTeodoro Alamo, Daniel G Reina, Pablo Millán Gata, et al.
Mathematical Biosciences and Engineering : MBE|March 27, 2015
Optimal information dissemination strategy to promote preventive behaviors in multilayer epidemic networksHeman Shakeri, Faryad Darabi Sahneh, Caterina Scoglio, et al.
Frontiers in Psychology|October 15, 2021
Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter PostsAlessandro N Vargas, Alexander Maier, Marcos B R Vallim, et al.
Scientific Reports|January 25, 2018
Spectral mapping of brain functional connectivity from diffusion imagingCassiano O Becker, Sérgio Pequito, George J Pappas, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Physical Review. E|July 15, 2016
Epidemic processes over adaptive state-dependent networksMasaki Ogura, Victor M Preciado
Annual Reviews in Control|May 27, 2021
Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approachMikhail Hayhoe, Francisco Barreras, Victor M Preciado
Journal of Neural Engineering|August 9, 2018
Large-scale dynamic modeling of task-fMRI signals via subspace system identificationCassiano O Becker, Danielle S Bassett, Victor M Preciado
Physical Review. E|June 17, 2017
Delayed bet-hedging resilience strategies under environmental fluctuationsMasaki Ogura, Masashi Wakaiki, Harvey Rubin, et al.
Scientific Reports|January 6, 2017
Trade-offs between driving nodes and time-to-control in complex networksSérgio Pequito, Victor M Preciado, Albert-László Barabási, et al.
Scientific Reports|March 10, 2017
Corrigendum: Trade-offs between driving nodes and time-to-control in complex networksSérgio Pequito, Victor M Preciado, Albert-László Barabási, et al.
Annual Reviews in Control|July 5, 2021
Data-driven methods for present and future pandemics: Monitoring, modelling and managingTeodoro Alamo, Daniel G Reina, Pablo Millán Gata, et al.
Mathematical Biosciences and Engineering : MBE|March 27, 2015
Optimal information dissemination strategy to promote preventive behaviors in multilayer epidemic networksHeman Shakeri, Faryad Darabi Sahneh, Caterina Scoglio, et al.
Frontiers in Psychology|October 15, 2021
Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter PostsAlessandro N Vargas, Alexander Maier, Marcos B R Vallim, et al.
Scientific Reports|January 25, 2018
Spectral mapping of brain functional connectivity from diffusion imagingCassiano O Becker, Sérgio Pequito, George J Pappas, et al.
Pageof 1