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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
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July 15, 2015
Determining the sub-Lyapunov exponent of delay systems from time series
Thomas Jüngling, Miguel C Soriano, Ingo Fischer
IEEE Transactions on Neural Networks and Learning Systems
|
October 18, 2021
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation
Benedikt Vettelschoss, Andre Rohm, Miguel C Soriano
Chaos (Woodbury, N.Y.)
|
November 30, 2019
Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing
A Cunillera, M C Soriano, I Fischer
Entropy (Basel, Switzerland)
|
January 8, 2025
Identifying Ordinal Similarities at Different Temporal Scales
Luciano Zunino, Xavier Porte, Miguel C Soriano
Chaos (Woodbury, N.Y.)
|
November 30, 2019
Machine learning algorithms for predicting the amplitude of chaotic laser pulses
Pablo Amil, Miguel C Soriano, Cristina Masoller
Chaos (Woodbury, N.Y.)
|
January 7, 2014
Relation between delayed feedback and delay-coupled systems and its application to chaotic lasers
Miguel C Soriano, Valentin Flunkert, Ingo Fischer
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 11, 2012
Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach
L Zunino, M C Soriano, O A Rosso
Optics Letters
|
November 18, 2011
Role of the phase in the identification of delay time in semiconductor lasers with optical feedback
Romain Modeste Nguimdo, Miguel C Soriano, Pere Colet
Revista Espanola De Quimioterapia : Publicacion Oficial De La Sociedad Espanola De Quimioterapia
|
April 30, 2022
Cefiderocol
M C Soriano, J Montufar, A Blandino-Ortiz
Metabolism: Clinical and Experimental
|
January 26, 2000
Effects of low-dose and high-dose glucagon on glucose production and gluconeogenesis in humans
V L Chhibber, C Soriano, J A Tayek
Page
of 21
Search research articles
Search
Showing results (11-20 of 201) with videos related to
Sort By:
Page
of 21
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 15, 2015
Determining the sub-Lyapunov exponent of delay systems from time series
Thomas Jüngling, Miguel C Soriano, Ingo Fischer
IEEE Transactions on Neural Networks and Learning Systems
|
October 18, 2021
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation
Benedikt Vettelschoss, Andre Rohm, Miguel C Soriano
Chaos (Woodbury, N.Y.)
|
November 30, 2019
Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing
A Cunillera, M C Soriano, I Fischer
Entropy (Basel, Switzerland)
|
January 8, 2025
Identifying Ordinal Similarities at Different Temporal Scales
Luciano Zunino, Xavier Porte, Miguel C Soriano
Chaos (Woodbury, N.Y.)
|
November 30, 2019
Machine learning algorithms for predicting the amplitude of chaotic laser pulses
Pablo Amil, Miguel C Soriano, Cristina Masoller
Chaos (Woodbury, N.Y.)
|
January 7, 2014
Relation between delayed feedback and delay-coupled systems and its application to chaotic lasers
Miguel C Soriano, Valentin Flunkert, Ingo Fischer
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 11, 2012
Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach
L Zunino, M C Soriano, O A Rosso
Optics Letters
|
November 18, 2011
Role of the phase in the identification of delay time in semiconductor lasers with optical feedback
Romain Modeste Nguimdo, Miguel C Soriano, Pere Colet
Revista Espanola De Quimioterapia : Publicacion Oficial De La Sociedad Espanola De Quimioterapia
|
April 30, 2022
Cefiderocol
M C Soriano, J Montufar, A Blandino-Ortiz
Metabolism: Clinical and Experimental
|
January 26, 2000
Effects of low-dose and high-dose glucagon on glucose production and gluconeogenesis in humans
V L Chhibber, C Soriano, J A Tayek
Page
of 21