A review of feature selection methods based on mutual information JR Vergara, PA Estévez Neural computing and applications 24, 175-186, 2014 | 1130 | 2014 |
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker F Förster, G Cabrera-Vives, E Castillo-Navarrete, PA Estévez, ... arXiv preprint arXiv:2008.03303, 2020 | 145 | 2020 |
Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms G Curilem, J Vergara, G Fuentealba, G Acuña, M Chacón Journal of volcanology and geothermal research 180 (1), 1-8, 2009 | 115 | 2009 |
Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features M Curilem, J Vergara, C San Martin, G Fuentealba, C Cardona, ... Journal of Volcanology and Geothermal Research 282, 134-147, 2014 | 62 | 2014 |
Dimensionality Reduction of SDSS Spectra with Variational Autoencoders SKN Portillo, JK Parejko, JR Vergara, AJ Connolly The Astronomical Journal 160 (1), 45, 2020 | 58 | 2020 |
Searching for changing-state agns in massive data sets. i. applying deep learning and anomaly-detection techniques to find agns with anomalous variability behaviors P Sánchez-Sáez, H Lira, L Martí, N Sanchez-Pi, J Arredondo, FE Bauer, ... The Astronomical Journal 162 (5), 206, 2021 | 41 | 2021 |
Cmim-2: an enhanced conditional mutual information maximization criterion for feature selection JR Vergara, PA Estévez Journal of Applied Computer Science Methods 2 (1), 5--20, 2010 | 19 | 2010 |
Nonlinear time series analysis by using gamma growing neural gas PA Estévez, JR Vergara Advances in Self-Organizing Maps: 9th International Workshop, WSOM 2012 …, 2013 | 15 | 2013 |
Segment growing neural gas for nonlinear time series analysis JR Vergara, PA Estévez, Á Serrano Advances in Self-Organizing Maps and Learning Vector Quantization …, 2016 | 4 | 2016 |
A strategy for time series prediction using segment growing neural gas JR Vergara, PA Estévez 2017 12th International Workshop on Self-Organizing Maps and Learning Vector …, 2017 | 3 | 2017 |
Co-expression of immunohistochemical markers MRP2, CXCR4, and PD-L1 in gallbladder tumors is associated with prolonged patient survival A Tittarelli, O Barría, E Sanders, A Bergqvist, DU Brange, M Vidal, ... Cancers 15 (13), 3440, 2023 | 2 | 2023 |
Subset feature selection with structural variables JA Urrutia, PA Estévez, JR Vergara 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2021 | 1 | 2021 |
Model-based battery thermal parameter optimization using symbolic regression I Rafael, PA Estévez, JR Vergara, WR Calderón-Muñoz Journal of Energy Storage 73, 109243, 2023 | | 2023 |
Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features GM Curilem-Sandias, J Vergara, S Martin-Salas, C Enrique, ... ELSEVIER SCIENCE BV, 2014 | | 2014 |