MoCap Data Segmentation and Classification Using Kernel Based Multi-channel Analysis. - Sergio García-Vega; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (CIARP (2), 2013)

Kernel Spectral Clustering for Dynamic Data. - Diego Hernán Peluffo-Ordóñez; Sergio García-Vega; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (CIARP (1), 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 (IJCNN, 2013)

Kernel Spectral Clustering for Motion Tracking: A First Approach. - Diego Hernán Peluffo-Ordóñez; Sergio García-Vega; César Germán Castellanos-Domínguez (IWINAC (1), 2013)

Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings. - Sergio García-Vega; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (CIARP, 2014)

Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering. - Sergio García-Vega; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (CIARP, 2014)

Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks. - Sergio García-Vega; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (IbPRIA, 2015)

Multi-step-ahead forecasting using kernel adaptive filtering. - Sergio García-Vega; Germán Castellanos-Domínguez; Michel Verleysen; John Aldo Lee (IJCNN, 2016)

EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints. - Pablo Andrés Muñoz-Gutiérrez; Juan David Martínez-Vargas; Sergio García-Vega; Eduardo Giraldo 001; Germán Castellanos-Domínguez (BI, 2018)

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 (ICASSP, 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)

Similarity preservation in dimensionality reduction using a kernel-based cost function. - Sergio García-Vega; Germán Castellanos-Domínguez (Pattern Recognit. Lett., 2019)

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)

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)