S. García-Vega

Learning from Data Streams Using Kernel Adaptive Filtering

Xiao-jun Zeng, J. Keane, S. García-Vega, 2018 .

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

Xiao-Jun Zeng, John A. Keane, Sergio García-Vega, 2020, Expert Syst. Appl..

Stock Price Prediction Using Kernel Adaptive Filtering Within a Stock Market Interdependence Approach

J. Keane, S. García-Vega, Xiao-Jun Zeng, 2018 .

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

Xiao-Jun Zeng, John A. Keane, Sergio García-Vega, 2019, Neurocomputing.

Abominable Greenhouse Gas Bookkeeping Casts Serious Doubts on Climate Intentions of Oil and Gas Companies

Andreas G. F. Hoepner, J. Rogelj, A. Hoepner, 2023, SSRN Electronic Journal.

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

Germán Castellanos-Domínguez, Sergio García-Vega, G. Castellanos-Domínguez, 2019, Pattern Recognit. Lett..

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

Germán Castellanos-Domínguez, Sergio García-Vega, E. A. León-Gómez, 2020, Pattern Recognit. Lett..

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

Germán Castellanos-Domínguez, Eduardo Giraldo, Sergio García-Vega, 2018, BI.