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Pablo A. Estevez

Pablo A. Estevez

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
5212
World Ranking
9192
National Ranking
7

Research.com Recognitions

  • 2019 - Meritorious Service Award, IEEE Computational Intelligence Society
  • 2017 - IEEE Fellow For contributions to feature selection and visualization of large data sets

Overview

Pablo A. Estevez is affiliated with the University of Chile in Chile. Their research spans multiple fields, including Astronomy and Astrophysics, Artificial Intelligence, Cognitive Neuroscience, Computational Mechanics, and Signal Processing. The scientist's work encompasses a variety of topics such as Gamma-ray bursts and supernovae, Anomaly Detection Techniques and Applications, Stellar, planetary, and galactic studies, Astronomical Observations and Instrumentation, Galaxies: Formation, Evolution, Phenomena, Time Series Analysis and Forecasting, and Astrophysics and Cosmic Phenomena.

Estevez has contributed to the academic community through a range of publications. Some recent papers include:

  • "Alert Classification for the ALeRCE Broker System: The Light Curve Classifier" (2021), published in The Astronomical Journal
  • "Going deep into schizophrenia with artificial intelligence" (2021), published in Schizophrenia Research
  • "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), published in The Astronomical Journal
  • "Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy" (2023), published in BMC Pregnancy and Childbirth
  • "Rock lithological instance classification by hyperspectral images using dimensionality reduction and deep learning" (2022), published in Chemometrics and Intelligent Laboratory Systems

The frequent coauthors with whom Estevez has collaborated include:

  • F. Förster
  • G. Cabrera-Vives
  • P. Sanchéz-Sáez
  • F. E. Bauer
  • J. Arredondo

The scholar's works have been published repeatedly in several venues, with a notable concentration in:

  • The Astronomical Journal
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • IEEE Transactions on Cognitive and Developmental Systems

Pablo A. Estevez has received several distinctions including the Meritorious Service Award from the IEEE Computational Intelligence Society in 2019 and was named an IEEE Fellow in 2017 for contributions to feature selection and visualization of large data sets.

Best Publications

  • Normalized Mutual Information Feature Selection

    P.A. Estevez;M. Tesmer;C.A. Perez;J.M. Zurada

  • A review of feature selection methods based on mutual information

    Jorge R. Vergara;Pablo A. Estévez

  • A Review of Feature Selection Methods Based on Mutual Information

    Jorge R. Vergara;Pablo A. Estévez

  • The delay of shock breakout due to circumstellar material evident in most type II supernovae

    F. Förster;F. Förster;T. J. Moriya;J. C. Maureira;J. P. Anderson

  • Subscription fraud prevention in telecommunications using fuzzy rules and neural networks

    Pablo A. Estévez;Claudio M. Held;Claudio A. Perez

  • Ore grade estimation by feature selection and voting using boundary detection in digital image analysis

    Claudio A. Perez;Pablo A. Estévez;Pablo A. Vera;Luis E. Castillo

  • A review of learning vector quantization classifiers

    David Nova;Pablo A. Estévez

  • The delay of shock breakout due to circumstellar material seen in most Type II Supernovae

    F. Förster;T.J. Moriya;J.C. Maureira;J.P. Anderson

  • Polysomnographic pattern recognition for automated classification of sleep-waking states in infants.

    P. A. Estévez;C. M. Held;C. A. Holzmann;C. A. Perez

  • Alert Classification for the ALeRCE Broker System: The Light Curve Classifier

    P. Sánchez-Sáez;P. Sánchez-Sáez;I. Reyes;C. Valenzuela;F. Förster;F. Förster

  • Selecting the Most Influential Nodes in Social Networks

    P.A. Estevez;P. Vera;K. Saito

  • A neurofuzzy color image segmentation method for wood surface defect detection

    Gonzalo A. Ruz;Pablo A. Estevez;Claudio A. Perez

  • Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases

    Pablo Huijse;Pablo A. Estevez;Pavlos Protopapas;Jose C. Principe

  • Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms

    Bernardo Severino;Felipe Gana;Rodrigo Palma-Behnke;Pablo A. Estévez

  • 150 Successful Machine Learning Models

    Unknown

  • Going deep into schizophrenia with artificial intelligence.

    Jose A. Cortes-Briones;Nicolas I. Tapia-Rivas;Deepak Cyril D'Souza;Pablo A. Estevez

  • Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection

    Guillermo Cabrera-Vives;Guillermo Cabrera-Vives;Ignacio Reyes;Ignacio Reyes;Francisco Förster;Francisco Förster;Pablo A. Estévez;Pablo A. Estévez

  • Automated visual inspection system for wood defect classification using computational intelligence techniques

    Gonzalo A. Ruz;Pablo A. Estevez;Pablo A. Ramirez

  • The High Cadence Transient Survey (HiTS) - I. Survey design and supernova shock breakout constraints

    Francisco Förster;Juan C. Maureira;Jaime San Martín;Mario Hamuy

  • The High Cadence Transient Survey (HITS). I. Survey Design and Supernova Shock Breakout Constraints

    F. Förster;F. Förster;J. C. Maureira;J. San Martín;M. Hamuy;M. Hamuy

  • Classification of sleep stages in infants: a neuro fuzzy approach

    J.E. Heiss;C.M. Held;P.A. Estevez;C.A. Perez

  • Genetic design of biologically inspired receptive fields for neural pattern recognition

    C.A. Perez;C.A. Salinas;P.A. Estevez;P.M. Valenzuela

  • Online data visualization using the neural gas network

    Pablo A. Estévez;Cristián J. Figueroa

  • Extracting Fuzzy Rules From Polysomnographic Recordings for Infant Sleep Classification

    C.M. Held;J.E. Heiss;P.A. Estevez;C.A. Perez

  • 6 DOF force and torque sensor for micro-manipulation applications

    P. Estevez;J.M. Bank;M. Porta;J. Wei

  • A fractal time thermal model for predicting the surface temperature of air-cooled cylindrical Li-ion cells based on experimental measurements

    Jorge Reyes-Marambio;Francisco Moser;Felipe Gana;Bernardo Severino

  • The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker

    F. Förster;G. Cabrera-Vives;E. Castillo-Navarrete;P. A. Estévez

Frequent Co-Authors

Franz E. Bauer
Franz E. Bauer Pontificia Universidad Católica de Chile
Mario Hamuy
Mario Hamuy University of Chile
Jose C. Principe
Jose C. Principe University of Florida
Rodrigo Palma-Behnke
Rodrigo Palma-Behnke University of Chile
Dante Minniti
Dante Minniti Andrés Bello University
Manuela Zoccali
Manuela Zoccali Pontificia Universidad Católica de Chile
Marcos E. Orchard
Marcos E. Orchard University of Chile
Avishay Gal-Yam
Avishay Gal-Yam Weizmann Institute of Science
Paolo A. Mazzali
Paolo A. Mazzali Liverpool John Moores University
Eric Goles
Eric Goles Adolfo Ibáñez University

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