Sergio García-Vega

14 papers B 2C 2Misc 2Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2020 J jnl
A time-series prediction framework using sequential learning algorithms and dimensionality reduction within a sparsification approach.
Pattern Recognit. Lett.
Sergio García-Vega, E. A. León-Gómez, Germán Castellanos-Domínguez
2020 J jnl
Stock returns prediction using kernel adaptive filtering within a stock market interdependence approach.
Expert Syst. Appl.
Sergio García-Vega, Xiao-Jun Zeng, John A. Keane
2019 J jnl
Learning from data streams using kernel least-mean-square with multiple kernel-sizes and adaptive step-size.
Neurocomputing
Sergio García-Vega, Xiao-Jun Zeng, John A. Keane
2019 J jnl
Similarity preservation in dimensionality reduction using a kernel-based cost function.
Pattern Recognit. Lett.
Sergio García-Vega, Germán Castellanos-Domínguez
2019 Misc conf
Time Series Prediction for Kernel-based Adaptive Filters Using Variable Bandwidth, Adaptive Learning-rate, and Dimensionality Reduction.
ICASSP
Sergio García-Vega, E. A. León-Gómez, Germán Castellanos-Domínguez
2018 — conf
EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints.
BI
Pablo Andrés Muñoz-Gutiérrez, Juan David Martínez-Vargas, Sergio García-Vega, Eduardo Giraldo, Germán Castellanos-Domínguez
2016 B conf
Multi-step-ahead forecasting using kernel adaptive filtering.
IJCNN
Sergio García-Vega, Germán Castellanos-Domínguez, Michel Verleysen, John Aldo Lee
2015 Misc conf
Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks.
IbPRIA
Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
2014 C conf
Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering.
CIARP
Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
2014 C conf
Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings.
CIARP
Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
2013 — conf
Kernel Spectral Clustering for Dynamic Data.
CIARP (1)
Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
2013 — conf
Kernel Spectral Clustering for Motion Tracking: A First Approach.
IWINAC (1)
Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, César Germán Castellanos-Domínguez
2013 B conf
Kernel spectral clustering for dynamic data using multiple kernel learning.
IJCNN
Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, Rocco Langone, Johan A. K. Suykens, Germán Castellanos-Domínguez
2013 — conf
MoCap Data Segmentation and Classification Using Kernel Based Multi-channel Analysis.
CIARP (2)
Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez