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P. A. Estévez

Observed names: Estevez, P.A., Estevez, Pablo A., Estevez-Valencia, Pablo, Estevez-Valencia, Pablo Antonio, Estévez, Pablo A., Estévez Valencia, Pablo, Estévez, P. A., Estévez, Pablo A., P A Estevez, P Estevez, P Estévez, P Estévez, P. A. Estevez, P. Estevez, P.A. Estevez, P.A. Estévez, P.A. Estivez, P.A. Estévez, PABLO A. ESTÉVEZ, Pablo A Estevez, Pablo A Estévez, Pablo A. Estevez, Pablo A. Estévez, Pablo A. Estévez, Pablo A. Estévez A, Pablo Antonio Estevez Valencia, Pablo Antonio Estevez-Valencia, Pablo Estevez, Pablo Estévez, Pablo P. A. Estevez
Observed institutions: Universidad de Santiago de Chile, Millennium Institute, Millennium Institute of Astrophysics, Advanced Mining Technology Center, Research Center for Advanced Science and Technology, The University of Tokyo, University of Chile, The University of Tokyo
ORCID: 0000-0001-9164-4722
Observed ORCID: 0000-0001-9164-4722
OpenAlex ID: A5010931397
A review of feature selection methods based on mutual information
2013 · Jorge R. Vergara, Pablo A. Estévez · Neural Computing and Applications · 1,362
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Normalized Mutual Information Feature Selection
2009 · P.A. Estevez, M. Tesmer, et al. · IEEE Transactions on Neural Networks · 1,310
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
2021 · F. Förster, G. Cabrera-Vives, et al. · The Astronomical Journal · 256
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The delay of shock breakout due to circumstellar material evident in most type II supernovae
2018 · F. Förster, T. J. Moriya, et al. · Nature Astronomy · 184
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
2021 · P. Sánchez-Sáez, I. Reyes, et al. · The Astronomical Journal · 173
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A review of learning vector quantization classifiers
2013 · David Nova, Pablo A. Estévez · Neural Computing and Applications · 143
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Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection ∗
2017 · Guillermo Cabrera-Vives, Ignacio Reyes, et al. · The Astrophysical Journal · 131
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Ore grade estimation by feature selection and voting using boundary detection in digital image analysis
2011 · Claudio A. Perez, Pablo A. Estévez, et al. · International Journal of Mineral Processing · 106
Subscription fraud prevention in telecommunications using fuzzy rules and neural networks
2005 · Pablo A. Estévez, Claudio M. Held, et al. · Expert Systems with Applications · 103
Going deep into schizophrenia with artificial intelligence
2021 · Jose A. Cortes-Briones, Nicolas I. Tapia-Rivas, et al. · Schizophrenia Research · 102
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Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms
2014 · Bernardo Severino, Felipe Gana, et al. · Journal of Power Sources · 86
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases
2014 · Pablo Huijse, Pablo A. Estevez, et al. · IEEE Computational Intelligence Magazine · 85
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Selecting the Most Influential Nodes in Social Networks
2007 · Pablo A. Estevez, Pablo Vera, et al. · International Joint Conference on Neural Networks (IJCNN) · 82
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier
2021 · R. Carrasco-Davis, E. Reyes, et al. · The Astronomical Journal · 79
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A fractal time thermal model for predicting the surface temperature of air-cooled cylindrical Li-ion cells based on experimental measurements
2015 · Jorge Reyes-Marambio, Francisco Moser, et al. · Journal of Power Sources · 71
Polysomnographic pattern recognition for automated classification of sleep-waking states in infants
2002 · P. A. Estévez, C. M. Held, et al. · Medical & Biological Engineering & Computing · 70
Automated visual inspection system for wood defect classification using computational intelligence techniques
2009 · Gonzalo A. Ruz, Pablo A. Estévez, et al. · International Journal of Systems Science · 64
Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors
2021 · P. Sánchez-Sáez, H. Lira, et al. · The Astronomical Journal · 61
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Deep Learning for Image Sequence Classification of Astronomical Events
2019 · Rodrigo Carrasco-Davis, Guillermo Cabrera-Vives, et al. · Publications of the Astronomical Society of the Pacific · 60
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The High Cadence Transient Survey (hits). I. Survey Design and Supernova Shock Breakout Constraints
2016 · F. Förster, J. C. Maureira, et al. · The Astrophysical Journal · 58
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A neurofuzzy color image segmentation method for wood surface defect detection
2005 · Gonzalo A. Ruz, P. A. Estévez, et al. · Forest Products Journal · 58
Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
2023 · Gabriel Cubillos, Max Monckeberg, et al. · BMC Pregnancy and Childbirth · 57
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Extracting Fuzzy Rules From Polysomnographic Recordings for Infant Sleep Classification
2006 · C.M. Held, J.E. Heiss, et al. · IEEE Transactions on Biomedical Engineering · 56
Automated Sleep-Spindle Detection in Healthy Children Polysomnograms
2010 · Leonardo Causa, Claudio M Held, et al. · IEEE Transactions on Biomedical Engineering · 52
Online data visualization using the neural gas network
2006 · Pablo A. Estévez, Cristián J. Figueroa · Neural Networks · 49
Works count: 649
Citation count: 6,379
H-index: 35
I10-index: 76
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