Normalized mutual information feature selection PA Estévez, M Tesmer, CA Perez, JM Zurada IEEE Transactions on neural networks 20 (2), 189-201, 2009 | 1446 | 2009 |
A review of feature selection methods based on mutual information JR Vergara, PA Estévez Neural computing and applications 24, 175-186, 2014 | 1228 | 2014 |
A review of learning vector quantization classifiers D Nova, PA Estévez Neural Computing and Applications 25, 511-524, 2014 | 181 | 2014 |
The automatic learning for the rapid classification of events (ALeRCE) alert broker F Förster, G Cabrera-Vives, E Castillo-Navarrete, PA Estévez, ... The Astronomical Journal 161 (5), 242, 2021 | 169 | 2021 |
Subscription fraud prevention in telecommunications using fuzzy rules and neural networks PA Estévez, CM Held, CA Perez Expert Systems with Applications 31 (2), 337-344, 2006 | 160 | 2006 |
The delay of shock breakout due to circumstellar material evident in most type II supernovae F Förster, TJ Moriya, JC Maureira, JP Anderson, S Blinnikov, F Bufano, ... Nature Astronomy 2 (10), 808-818, 2018 | 144 | 2018 |
Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection∗ G Cabrera-Vives, I Reyes, F Förster, PA Estévez, JC Maureira The Astrophysical Journal 836 (1), 97, 2017 | 131 | 2017 |
Ore grade estimation by feature selection and voting using boundary detection in digital image analysis CA Perez, PA Estévez, PA Vera, LE Castillo, CM Aravena, DA Schulz, ... International Journal of Mineral Processing 101 (1-4), 28-36, 2011 | 118 | 2011 |
Alert classification for the ALeRCE broker system: The light curve classifier P Sánchez-Sáez, I Reyes, C Valenzuela, F Förster, S Eyheramendy, ... The Astronomical Journal 161 (3), 141, 2021 | 115 | 2021 |
Selecting the most influential nodes in social networks PA Estevez, P Vera, K Saito 2007 International Joint Conference on Neural Networks, 2397-2402, 2007 | 103 | 2007 |
Polysomnographic pattern recognition for automated classification of sleep-waking states in infants PA Estévez, CM Held, CA Holzmann, CA Perez, JP Pérez, J Heiss, ... Medical and biological engineering and computing 40, 105-113, 2002 | 102 | 2002 |
Computational intelligence challenges and applications on large-scale astronomical time series databases P Huijse, PA Estevez, P Protopapas, JC Principe, P Zegers IEEE Computational Intelligence Magazine 9 (3), 27-39, 2014 | 101 | 2014 |
Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms B Severino, F Gana, R Palma-Behnke, PA Estévez, WR Calderón-Munoz, ... Journal of Power Sources 267, 288-299, 2014 | 100 | 2014 |
A neurofuzzy color image segmentation method for wood surface defect detection GA Ruz, PA Estevez, CA Perez Forest products journal 55 (4), 52-58, 2005 | 99 | 2005 |
Optimización mediante algoritmos genéticos PE Valencia Anales del Instituto de Ingenieros de Chile 109 (2), 83-92, 1997 | 89 | 1997 |
The high cadence transient survey (hits). i. survey design and supernova shock breakout constraints F Förster, JC Maureira, J San Martín, M Hamuy, J Martínez, P Huijse, ... The Astrophysical Journal 832 (2), 155, 2016 | 81 | 2016 |
Automated visual inspection system for wood defect classification using computational intelligence techniques GA Ruz, PA Estevez, PA Ramirez International Journal of Systems Science 40 (2), 163-172, 2009 | 81 | 2009 |
A fractal time thermal model for predicting the surface temperature of air-cooled cylindrical Li-ion cells based on experimental measurements J Reyes-Marambio, F Moser, F Gana, B Severino, WR Calderón-Muńoz, ... Journal of Power Sources 306, 636-645, 2016 | 75 | 2016 |
Going deep into schizophrenia with artificial intelligence JA Cortes-Briones, NI Tapia-Rivas, DC D'Souza, PA Estevez Schizophrenia Research 245, 122-140, 2022 | 73 | 2022 |
Deep learning for image sequence classification of astronomical events R Carrasco-Davis, G Cabrera-Vives, F Förster, PA Estévez, P Huijse, ... Publications of the Astronomical Society of the Pacific 131 (1004), 108006, 2019 | 73 | 2019 |