| Stock returns prediction using kernel adaptive filtering within a stock market interdependence approach S Garcia-Vega, XJ Zeng, J Keane Expert Systems with Applications 160, 113668, 2020 | 39 | 2020 |
| Learning from data streams using kernel least-mean-square with multiple kernel-sizes and adaptive step-size S Garcia-Vega, XJ Zeng, J Keane Neurocomputing 339, 105-115, 2019 | 18 | 2019 |
| Kernel spectral clustering for dynamic data using multiple kernel learning D Peluffo-Ordónez, S García-Vega, R Langone, JAK Suykens, ... The 2013 International Joint Conference on Neural Networks (IJCNN), 1-6, 2013 | 15 | 2013 |
| Kernel spectral clustering for dynamic data DH Peluffo-Ordónez, S García-Vega, AM Alvarez-Meza, ... Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013 | 8 | 2013 |
| MoCap data segmentation and classification using kernel based multi-channel analysis S García-Vega, AM Álvarez-Meza, CG Castellanos-Domínguez Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013 | 7 | 2013 |
| Similarity preservation in dimensionality reduction using a kernel-based cost function S Garcia-Vega, G Castellanos-Dominguez Pattern Recognition Letters 125, 318-324, 2019 | 5 | 2019 |
| Stock price prediction using kernel adaptive filtering within a stock market interdependence approach S Garcia-Vega, XJ Zeng, J Keane Available at SSRN 3306250, 2018 | 5 | 2018 |
| Kernel spectral clustering for motion tracking: A first approach D Peluffo-Ordónez, S García-Vega, CG Castellanos-Domínguez Natural and Artificial Models in Computation and Biology: 5th International …, 2013 | 3 | 2013 |
| Abominable greenhouse gas bookkeeping casts serious doubts on climate intentions of oil and gas companies S Garcia-Vega, AGF Hoepner, J Rogelj, F Schiemann arXiv preprint arXiv:2305.11906, 2023 | 2 | 2023 |
| A time-series prediction framework using sequential learning algorithms and dimensionality reduction within a sparsification approach S Garcia-Vega, EA León-Gómez, G Castellanos-Dominguez Pattern Recognition Letters 129, 287-292, 2020 | 2 | 2020 |
| Multi-step-ahead forecasting using kernel adaptive filtering S Garcia-Vega, G Castellanos-Dominguez, M Verleysen, JA Lee 2016 International Joint Conference on Neural Networks (IJCNN), 2132-2139, 2016 | 2 | 2016 |
| Time-series prediction based on kernel adaptive filtering with cyclostationary codebooks S García-Vega, AM Álvarez-Meza, G Castellanos-Dominguez Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015 …, 2015 | 2 | 2015 |
| Neural decoding using kernel-based functional representation of ECoG recordings S García-Vega, AM Álvarez-Meza, G Castellanos-Domínguez Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2014 | 2 | 2014 |
| Kernel Adaptive Filtering Approaches for Financial Time-Series Prediction SG Vega PQDT-Global, 2021 | | 2021 |
| Time Series Prediction for Kernel-based Adaptive Filters Using Variable Bandwidth, Adaptive Learning-rate, and Dimensionality Reduction S Garcia-Vega, EA León-Gómez, G Castellanos-Dominguez ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | | 2019 |
| A kernel-based embedding framework for high-dimensional data analysis S García Vega Ingeniería Eléctrica, 2019 | | 2019 |
| Learning from Data Streams Using Kernel Adaptive Filtering S Garcia-Vega, XJ Zeng, J Keane Available at SSRN 3306245, 2018 | | 2018 |
| EEG based brain mapping by using frequency-spatio-temporal constraints PA Muñoz-Gutiérrez, JD Martinez-Vargas, S Garcia-Vega, E Giraldo, ... Brain Informatics: International Conference, BI 2018, Arlington, TX, USA …, 2018 | | 2018 |
| Kernel-Based Approaches to AnalyzeTime-Varying Data S García Vega Departamento de Ingeniería Eléctrica, Electrónica y Computación, 2014 | | 2014 |
| Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering S García-Vega, AM Álvarez-Meza, G Castellanos-Domínguez Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2014 | | 2014 |
G. Castellanos-DominguezUniversidad Nacional de ColombiaE-mailová adresa ověřena na: unal.edu.co