Carlos D. Acosta

Orcid: 0000-0002-6477-8984

Affiliations:
  • National University of Colombia, Manizales, Colombia


According to our database1, Carlos D. Acosta authored at least 23 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators.
Sensors, 2021

2020
CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification.
Brain Informatics, 2020

2019
Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification.
Proceedings of the Brain Informatics - 12th International Conference, 2019

2018
Forward Modelling Complexity Influence in EEG Source Localization Using Real EEG Data.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Influence of Realistic Head Modeling on EEG Forward Problem.
Proceedings of the Brain Informatics - International Conference, 2018

2015
iLU Preconditioning of the Anisotropic-Finite-Difference Based Solution for the EEG Forward Problem.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

2014
Recursive Separation of Stationary Components by Subspace Projection and Stochastic Constraints.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Spectral Correlation Measure for Selecting Intrinsic Mode Functions.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Quadratic Problem Formulation with Linear Constraints for Normalized Cut Clustering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Stationary Signal Separation Using Multichannel Local Segmentation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Video analysis based on Multi-Kernel Representation with automatic parameter choice.
Neurocomputing, 2013

Normalized cuts clustering with prior knowledge and a pre-clustering stage.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Automatic Singular Spectrum Analysis for Time-Series Decomposition.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Human Activity Recognition by Class Label LLE.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Finite Rank Series Modeling for Discrimination of Non-stationary Signals.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

An Improved Multi-Class Spectral Clustering Based on Normalized Cuts.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
Relevance Analysis of Stochastic Biosignals for Identification of Pathologies.
EURASIP J. Adv. Signal Process., 2011

Numerical identification of a nonlinear diffusion coefficient by discrete mollification.
Comput. Math. Appl., 2011

Multiple Manifold Learning by Nonlinear Dimensionality Reduction.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

Image Synthesis Based on Manifold Learning.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
Regularization parameter choice in locally linear embedding.
Neurocomputing, 2010

A mollification based operator splitting method for convection diffusion equations.
Comput. Math. Appl., 2010

2008
Stabilization of explicit methods for convection diffusion equations by discrete mollification.
Comput. Math. Appl., 2008


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