P. A. Estévez

Research interests

Publications

• Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy

  BMC Pregnancy and Childbirth · 2023 · 10.1186/s12884-023-05766-4

• Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors

  The Astronomical Journal · 2021 · 10.3847/1538-3881/ac1426

• Going deep into schizophrenia with artificial intelligence

  Schizophrenia Research · 2021 · 10.1016/j.schres.2021.05.018

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

  The Astronomical Journal · 2021 · 10.3847/1538-3881/abd5c1

• Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier

  The Astronomical Journal · 2021 · 10.3847/1538-3881/ac0ef1

• Going deep into schizophrenia with artificial intelligence

  Schizophrenia Research · 2021 · 10.1016/j.schres.2021.05.018

• 150 Successful Machine Learning Models

  · 2019 · 10.1145/3292500.3330744

• 150 Successful Machine Learning Models

  · 2019 · 10.1145/3292500.3330744

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

  Nature Astronomy · 2018 · 10.1038/s41550-018-0563-4

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

  The Astrophysical Journal · 2017 · 10.3847/1538-4357/836/1/97

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

  Journal of Power Sources · 2015 · 10.1016/j.jpowsour.2015.12.037

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

  IEEE Computational Intelligence Magazine · 2014 · 10.1109/mci.2014.2326100

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

  IEEE Computational Intelligence Magazine · 2014 · 10.1109/mci.2014.2326100

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

  Journal of Power Sources · 2014 · 10.1016/j.jpowsour.2014.05.088

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

  Journal of Power Sources · 2014 · 10.1016/j.jpowsour.2014.05.088

• A review of feature selection methods based on mutual information

  Neural Computing and Applications · 2013 · https://doi.org/10.1007/s00521-013-1368-0

• A review of learning vector quantization classifiers

  Neural Computing and Applications · 2013 · 10.1007/s00521-013-1535-3

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

  Sensors and Actuators A Physical · 2012 · 10.1016/j.sna.2012.02.037

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

  International Journal of Mineral Processing · 2011 · 10.1016/j.minpro.2011.07.008

• Automated Sleep-Spindle Detection in Healthy Children Polysomnograms

  IEEE Transactions on Biomedical Engineering · 2010 · 10.1109/tbme.2010.2052924

• Normalized Mutual Information Feature Selection

  IEEE Transactions on Neural Networks · 2009 · https://doi.org/10.1109/tnn.2008.2005601

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

  International Journal of Systems Science · 2009 · 10.1080/00207720802630685

• Selecting the Most Influential Nodes in Social Networks

  · 2007 · 10.1109/ijcnn.2007.4371333

• Selecting the Most Influential Nodes in Social Networks

  · 2007 · 10.1109/ijcnn.2007.4371333

• Online data visualization using the neural gas network

  Neural Networks · 2006 · 10.1016/j.neunet.2006.05.024

• Extracting Fuzzy Rules From Polysomnographic Recordings for Infant Sleep Classification

  IEEE Transactions on Biomedical Engineering · 2006 · 10.1109/tbme.2006.881798

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

  Expert Systems with Applications · 2005 · 10.1016/j.eswa.2005.09.028

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

  Expert Systems with Applications · 2005 · 10.1016/j.eswa.2005.09.028

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

  Americanae (AECID Library) · 2005

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

  IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2003 · 10.1109/tsmcb.2003.810441

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

  Medical & Biological Engineering & Computing · 2002 · 10.1007/bf02347703

Current projects

No projects listed.