Rolando J. Biscay

According to our database, Rolando J. Biscay authored at least 22 papers between 1995 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Brain connectivity for constructing new face representations in typical adults versus a prosopagnosic patient.

Ela I. Olivares, Jorge Francisco Bosch-Bayard, Ana S. Urraca, Alba Jiménez-Bascuñán, Rolando J. Biscay, Jaime Iglesias

NeuroImage, 2025

2022

EEG effective connectivity during the first year of life mirrors brain synaptogenesis, myelination, and early right hemisphere predominance.

Jorge Bosch-Bayard, Rolando J. Biscay, Thalía Fernandez, Gloria Otero, Josefina Ricardo-Garcell, Eduardo Aubert-Vázquez, Alan C. Evans, Thalía Harmony

NeuroImage, 2022

2018

On Fisher vector encoding of binary features for video face recognition.

Yoanna Martínez-Díaz, Noslén Hernández-González, Rolando J. Biscay, Leonardo Chang, Heydi Méndez-Vázquez, Luis Enrique Sucar

J. Vis. Commun. Image Represent., 2018

Numerical solution of stochastic quantum master equations using stochastic interacting wave functions.

Carlos M. Mora, J. Fernández, Rolando J. Biscay

J. Comput. Phys., 2018

2017

A Stable Numerical Scheme for Stochastic Differential Equations with Multiplicative Noise.

Carlos M. Mora, Hermán A. Mardones, Juan C. Jiménez, Mónica Selva Soto, Rolando J. Biscay

SIAM J. Numer. Anal., 2017

2013

Local Linearization - Runge-Kutta methods: A class of A-stable explicit integrators for dynamical systems.

Hugo de la Cruz, Rolando J. Biscay, Juan Carlos Jimenez, Felix Carbonell

Math. Comput. Model., 2013

2012

Erratum to "Morphology-based hypothesis testing in discrete random fields: A non-parametric method to address the multiple-comparison problem in neuroimaging" [NeuroImage 56/4 (2011) 1954-1967].

José L. Marroquín, Rolando J. Biscay, Salvador Ruiz-Correa, Alfonso Alba, Roxana Ramirez, Jorge L. Armony

NeuroImage, 2012

A Non Bayesian Predictive Approach for Functional Calibration.

Noslén Hernández-González, Rolando J. Biscay, Isneri Talavera-Bustamante

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011

Morphology-based hypothesis testing in discrete random fields: A non-parametric method to address the multiple-comparison problem in neuroimaging.

José L. Marroquín, Rolando J. Biscay, Salvador Ruiz-Correa, Alfonso Alba, Roxana Ramirez, Jorge L. Armony

NeuroImage, 2011

Group Lasso Estimation of High-dimensional Covariance Matrices.

Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes, Lilian Muñiz-Alvarez

J. Mach. Learn. Res., 2011

2010

A Functional Density-Based Nonparametric Approach for Statistical Calibration.

Noslén Hernández-González, Rolando J. Biscay, Nathalie Villa-Vialaneix, Isneri Talavera-Bustamante

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2008

Performance evaluation of relevance vector machines as a nonlinear regression method in real-world chemical spectroscopic data.

Diana Porro, Noslén Hernández-González, Isneri Talavera-Bustamante, Oneisys Núñez, Angel Dago, Rolando J. Biscay

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Numerical simulation of nonlinear dynamical systems driven by commutative noise.

Felix Carbonell, Rolando J. Biscay, Juan Carlos Jimenez, Hugo de la Cruz

J. Comput. Phys., 2007

A higher order local linearization method for solving ordinary differential equations.

Hugo de la Cruz, Rolando J. Biscay, Felix Carbonell, Tohru Ozaki, Juan Carlos Jimenez

Appl. Math. Comput., 2007

Support Vector Regression Methods for Functional Data.

Noslén Hernández-González, Rolando J. Biscay, Isneri Talavera-Bustamante

Proceedings of the Progress in Pattern Recognition, 2007

2006

Local Linearization-Runge Kutta (LLRK) Methods for Solving Ordinary Differential Equations.

Hugo de la Cruz, Rolando J. Biscay, Felix Carbonell, Juan Carlos Jimenez, Tohru Ozaki

Proceedings of the Computational Science, 2006

2004

A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering.

Andreas Galka, Okito Yamashita, Tohru Ozaki, Rolando J. Biscay, Pedro A. Valdés-Sosa

NeuroImage, 2004

Random Field-Union Intersection tests for EEG/MEG imaging.

Felix Carbonell, Lídice Galán, Pedro A. Valdés-Sosa, Keith J. Worsley, Rolando J. Biscay, L. Díaz-Comas, Maria Antonieta Bobes, Mario Parra-Rodriguez

NeuroImage, 2004

2002

Dynamic properties of the local linearization method for initial-value problems.

Juan C. Jiménez, Rolando J. Biscay, Carlos M. Mora, Luis Manuel Rodriguez

Appl. Math. Comput., 2002

A numerical method for the computation of the Lyapunov exponents of nonlinear ordinary differential equations.

Felix Carbonell, Juan C. Jiménez, Rolando J. Biscay

Appl. Math. Comput., 2002

1999

Nonlinear EEG analysis based on a neural mass model.

Pedro A. Valdés-Hernández, Juan C. Jiménez, Jorge J. Riera, Rolando J. Biscay, Tohru Ozaki

Biol. Cybern., 1999

1995

Modeling the electroencephalogram by means of spatial spline smoothing and temporal autoregression.

Juan C. Jiménez, Rolando J. Biscay, O. Montoto

Biol. Cybern., 1995