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Pedro Antonio Gutiérrez

Pedro Antonio Gutiérrez

D-Index & Metrics

Computer Science

D-Index
32
Citations
5033
World Ranking
13080
National Ranking
248

Overview

Pedro Antonio Gutiérrez is affiliated with the University of Córdoba in Spain. Their research primarily focuses on computer science, with significant contributions to artificial intelligence and environmental engineering. They have a substantial publication record, with 91 works in computer science and notable engagement in subfields including artificial intelligence, environmental engineering, signal processing, electrical and electronic engineering, and computer vision and pattern recognition.

The main topics of their research include anomaly detection techniques and applications, time series analysis and forecasting, energy load and power forecasting, hydrological forecasting using AI, machine learning and data classification, complex systems and time series analysis, and imbalanced data classification techniques.

Among recent publications, key papers authored by or in collaboration with Gutiérrez include:

  • Multi-task learning for the prediction of wind power ramp events with deep neural networks, 2020, Neural Networks
  • Machine learning regression and classification methods for fog events prediction, 2022, Atmospheric Research
  • Evolutionary artificial neural networks for accurate solar radiation prediction, 2020, Energy
  • Time-Series Clustering Based on the Characterization of Segment Typologies, 2020, IEEE Transactions on Cybernetics
  • The kinesin-5 tail domain directly modulates the mechanochemical cycle of the motor domain for anti-parallel microtubule sliding, 2020, eLife

Frequent co-authors associated with Gutiérrez's work include César Hervás-Martínez with 64 joint publications, David Guijo-Rubio with 44, Víctor Manuel Vargas with 31, Antonio M. Gómez-Orellana with 24, and Sancho Salcedo-Sanz with 18 collaborations.

Their publications appear in various venues, with multiple papers featured in arXiv (Cornell University) tallying seven publications. Other notable venues include Scientific Reports with four papers, PLoS ONE with three, Atmospheric Research with two, and IEEE Transactions on Cybernetics with two publications.

Best Publications

  • Ordinal Regression Methods: Survey and Experimental Study

    Pedro Antonio Gutierrez;Maria Perez-Ortiz;Javier Sanchez-Monedero;Francisco Fernandez-Navarro

  • Object-Based Image Classification of Summer Crops with Machine Learning Methods

    José M. Peña;Pedro Antonio Gutiérrez;César Hervás-Martínez;Johan Six

  • A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

    M. Pérez-Ortiz;J.M. Peña;P.A. Gutiérrez;J. Torres-Sánchez

  • Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

    María Pérez-Ortiz;José Manuel Peña;Pedro Antonio Gutiérrez;Jorge Torres-Sánchez

  • Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks

    Juan Carlos Fernandez Caballero;Francisco Jose Martinez;Cesar Hervas;Pedro Antonio Gutierrez

  • A dynamic over-sampling procedure based on sensitivity for multi-class problems

    Francisco Fernández-Navarro;César Hervás-Martínez;Pedro Antonio Gutiérrez

  • A Review of Classification Problems and Algorithms in Renewable Energy Applications

    María Pérez-Ortiz;Silvia Jiménez-Fernández;Pedro A. Gutiérrez;Enrique Alexandre

  • Metrics to guide a multi-objective evolutionary algorithm for ordinal classification

    M. Cruz-Ramírez;C. Hervás-Martínez;J. Sánchez-Monedero;P.A. Gutiérrez

  • Evolutionary product-unit neural networks classifiers

    F. J. Martínez-Estudillo;C. Hervás-Martínez;P. A. Gutiérrez;A. C. Martínez-Estudillo

  • Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks

    Pedro Antonio Gutiérrez;César Hervás-Martínez;Francisco J Martínez-Estudillo

  • MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks

    Francisco Fernández-Navarro;César Hervás-Martínez;Javier Sanchez-Monedero;Pedro Antonio Gutiérrez

  • Multi-task learning for the prediction of wind power ramp events with deep neural networks.

    Manuel Dorado-Moreno;Nicolò Navarin;Nicolò Navarin;Pedro Antonio Gutiérrez;Luis Prieto

  • Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression

    Maria Perez-Ortiz;Pedro Antonio Gutierrez;Cesar Hervas-Martinez;Xin Yao

  • Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images

    Aurora Saez;Javier Sanchez-Monedero;Pedro Antonio Gutierrez;Cesar Hervas-Martinez

  • Evolutionary artificial neural networks for accurate solar radiation prediction

    D. Guijo-Rubio;A.M. Durán-Rosal;P.A. Gutiérrez;A.M. Gómez-Orellana

  • Monotonic classification: An overview on algorithms, performance measures and data sets

    José-Ramón Cano;Pedro Antonio Gutiérrez;Bartosz Krawczyk;Michał Woźniak

  • Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data

    P. A. Gutiérrez;F. López-Granados;J. M. Peña-Barragán;M. Jurado-Expósito

  • Significant wave height and energy flux range forecast with machine learning classifiers

    Juan Carlos Fernández;Sancho Salcedo-Sanz;Pedro Antonio Gutiérrez;Enrique Alexandre

  • Oversampling the Minority Class in the Feature Space

    Maria Perez-Ortiz;Pedro Antonio Gutierrez;Peter Tino;Cesar Hervas-Martinez

  • Combined projection and kernel basis functions for classification in evolutionary neural networks

    P. A. Gutiérrez;C. Hervás;M. Carbonero;J. C. Fernández

  • Time-Series Clustering Based on the Characterization of Segment Typologies

    David Guijo-Rubio;Antonio Manuel Duran-Rosal;Pedro Antonio Gutierrez;Alicia Troncoso

Frequent Co-Authors

César Hervás-Martínez
César Hervás-Martínez University of Córdoba
Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Francisca López-Granados
Francisca López-Granados Spanish National Research Council
Salvador García
Salvador García University of Granada
Peter Tino
Peter Tino University of Birmingham
M.P. Dorado
M.P. Dorado University of Córdoba
Xin Yao
Xin Yao Lingnan University
Francisco Herrera
Francisco Herrera University of Granada
Manuel Lozano
Manuel Lozano University of Granada
Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology

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