Sergio García-Vega

According to our database, Sergio García-Vega authored at least 14 papers between 2013 and 2020.

Collaborative distances:

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

2020

A time-series prediction framework using sequential learning algorithms and dimensionality reduction within a sparsification approach.

Sergio García-Vega, E. A. León-Gómez, Germán Castellanos-Domínguez

Pattern Recognit. Lett., 2020

Stock returns prediction using kernel adaptive filtering within a stock market interdependence approach.

Sergio García-Vega, Xiao-Jun Zeng, John A. Keane

Expert Syst. Appl., 2020

2019

Similarity preservation in dimensionality reduction using a kernel-based cost function.

Sergio García-Vega, Germán Castellanos-Domínguez

Pattern Recognit. Lett., 2019

Learning from data streams using kernel least-mean-square with multiple kernel-sizes and adaptive step-size.

Sergio García-Vega, Xiao-Jun Zeng, John A. Keane

Neurocomputing, 2019

Time Series Prediction for Kernel-based Adaptive Filters Using Variable Bandwidth, Adaptive Learning-rate, and Dimensionality Reduction.

Sergio García-Vega, E. A. León-Gómez, Germán Castellanos-Domínguez

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints.

Pablo Andrés Muñoz-Gutiérrez, Juan David Martínez-Vargas, Sergio García-Vega, Eduardo Giraldo, Germán Castellanos-Domínguez

Proceedings of the Brain Informatics - International Conference, 2018

2016

Multi-step-ahead forecasting using kernel adaptive filtering.

Sergio García-Vega, Germán Castellanos-Domínguez, Michel Verleysen, John Aldo Lee

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks.

Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014

Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering.

Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings.

Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013

Kernel Spectral Clustering for Motion Tracking: A First Approach.

Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, César Germán Castellanos-Domínguez

Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Kernel spectral clustering for dynamic data using multiple kernel learning.

Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, Rocco Langone, Johan A. K. Suykens, Germán Castellanos-Domínguez

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Kernel Spectral Clustering for Dynamic Data.

Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

MoCap Data Segmentation and Classification Using Kernel Based Multi-channel Analysis.

Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013