Stabilization of explicit methods for convection diffusion equations by discrete mollification. - Carlos D. Acosta; Carlos E. Mejía 001 (Comput. Math. Appl., 2008)

A mollification based operator splitting method for convection diffusion equations. - Carlos D. Acosta; Carlos E. Mejía 001 (Comput. Math. Appl., 2010)

Regularization parameter choice in locally linear embedding. - Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (Neurocomputing, 2010)

Image Synthesis Based on Manifold Learning. - Andrés Marino Álvarez-Meza; Juliana Valencia-Aguirre; Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CAIP (2), 2011)

Multiple Manifold Learning by Nonlinear Dimensionality Reduction. - Juliana Valencia-Aguirre; Andrés Marino Álvarez-Meza; Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; César Germán Castellanos-Domínguez (CIARP, 2011)

Numerical identification of a nonlinear diffusion coefficient by discrete mollification. - Carlos E. Mejía 001; Carlos D. Acosta; Katerine I. Saleme (Comput. Math. Appl., 2011)

Relevance Analysis of Stochastic Biosignals for Identification of Pathologies. - Lina María Sepúlveda-Cano; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (EURASIP J. Adv. Signal Process., 2011)

An Improved Multi-Class Spectral Clustering Based on Normalized Cuts. - Diego Hernán Peluffo-Ordóñez; Carlos Daniel Acosta-Medina; César Germán Castellanos-Domínguez (CIARP, 2012)

Finite Rank Series Modeling for Discrimination of Non-stationary Signals. - Lina María Sepúlveda-Cano; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CIARP, 2012)

Human Activity Recognition by Class Label LLE. - Juliana Valencia-Aguirre; Andrés Marino Álvarez-Meza; Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CIARP, 2012)

Automatic Singular Spectrum Analysis for Time-Series Decomposition. - Andrés Marino Álvarez-Meza; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (ESANN, 2013)

Normalized cuts clustering with prior knowledge and a pre-clustering stage. - Diego Hernán Peluffo-Ordóñez; Andrés Eduardo Castro-Ospina; Diego Chavez-Chamorro; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (ESANN, 2013)

Video analysis based on Multi-Kernel Representation with automatic parameter choice. - Andrés Marino Álvarez-Meza; Juliana Valencia-Aguirre; Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (Neurocomputing, 2013)

Stationary Signal Separation Using Multichannel Local Segmentation. - Cristian Castro Hoyos; Fily Mateos Grisales-Franco; Juan David Martínez-Vargas; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CIARP, 2014)

Quadratic Problem Formulation with Linear Constraints for Normalized Cut Clustering. - Diego Hernán Peluffo-Ordóñez; Cristian Castro Hoyos; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CIARP, 2014)

Spectral Correlation Measure for Selecting Intrinsic Mode Functions. - Edgar F. Sierra-Alonso; Oscar Cardona-Morales; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CIARP, 2014)

Recursive Separation of Stationary Components by Subspace Projection and Stochastic Constraints. - Juan David Martínez-Vargas; Cristian Castro Hoyos; Andrés Marino Álvarez-Meza; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (ICPR, 2014)

iLU Preconditioning of the Anisotropic-Finite-Difference Based Solution for the EEG Forward Problem. - E. Cuartas-Morales; Carlos Daniel Acosta; Germán Castellanos-Domínguez (IWINAC (1), 2015)

Influence of Realistic Head Modeling on EEG Forward Problem. - Ernesto Cuartas-Morales; Yohan Ricardo Céspedes Villar; Héctor Fabio Torres Cardona; Carlos Daniel Acosta; Germán Castellanos-Domínguez (BI, 2018)

Forward Modelling Complexity Influence in EEG Source Localization Using Real EEG Data. - Ernesto Cuartas-Morales; Yohan Ricardo Céspedes Villar; Carlos Daniel Acosta; Germán Castellanos-Domínguez (CIARP, 2018)

Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification. - Luisa Fernanda Velásquez-Martínez; David Luna-Naranjo; David Cárdenas-Peña; Carlos Daniel Acosta-Medina; German A. Castaño; Germán Castellanos-Domínguez (BI, 2019)

CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Carlos Daniel Acosta-Medina; Germán Castaño Duque; Germán Castellanos-Domínguez (Brain Informatics, 2020)

Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators. - Julian Caicedo-Acosta; German A. Castaño; Carlos Daniel Acosta-Medina; Andrés Álvarez-Meza; Germán Castellanos-Domínguez (Sensors, 2021)