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César Hervás-Martínez

César Hervás-Martínez

D-Index & Metrics

Computer Science

D-Index
40
Citations
7818
World Ranking
9216
National Ranking
142

Overview

César Hervás-Martínez is affiliated with the University of Córdoba in Spain and has contributed extensively to the fields of Computer Science and Medicine. Their research primarily spans Artificial Intelligence, Electrical and Electronic Engineering, Surgery, Signal Processing, and Computer Vision and Pattern Recognition.

The scientist's notable topics of study include:

  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting
  • Energy Load and Power Forecasting
  • Complex Systems and Time Series Analysis
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Organ Transplantation Techniques and Outcomes

César Hervás-Martínez has published multiple papers, among which recent works are:

  • "Multi-task learning for the prediction of wind power ramp events with deep neural networks," 2020, Neural Networks
  • "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
  • "Development and validation of the Gender-Equity Model for Liver Allocation (GEMA) to prioritise candidates for liver transplantation: a cohort study," 2022, The Lancet. Gastroenterology & Hepatology
  • "Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation," 2021, PLoS ONE

Frequent co-authors with whom they have collaborated include:

  • Pedro Antonio Gutiérrez
  • David Guijo-Rubio
  • Víctor Manuel Vargas
  • Antonio M. Gómez-Orellana
  • Rafael Ayllón-Gavilán

The publication venues where the scientist's work appears most often are:

  • arXiv (Cornell University)
  • PLoS ONE
  • Expert Systems with Applications
  • Neurocomputing
  • Journal of Hepatology

César Hervás-Martínez's research reflects a blend of computational techniques and medical applications, often focusing on machine learning models for time series analysis and forecasting, as well as methodologies relevant to organ transplantation outcomes.

Best Publications

  • Ordinal Regression Methods: Survey and Experimental Study

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

  • Cooperative coevolution of artificial neural network ensembles for pattern classification

    N. Garcia-Pedrajas;C. Hervas-Martinez;D. Ortiz-Boyer

  • COVNET: a cooperative coevolutionary model for evolving artificial neural networks

    N. Garcia-Pedrajas;C. Hervas-Martinez;J. Munoz-Perez

  • JCLEC: a Java framework for evolutionary computation

    Sebastián Ventura;Cristóbal Romero;Amelia Zafra;José A. Delgado

  • 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

  • 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

  • Use of artificial intelligence as an innovative donor-recipient matching model for liver transplantation: results from a multicenter Spanish study.

    Javier Briceño;Manuel Cruz-Ramírez;Martín Prieto;Miguel Navasa

  • Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks)

    N. García-Pedrajas;C. Hervás-Martínez;J. Muñoz-Pérez

  • Evolutionary product unit based neural networks for regression

    Alfonso Martínez-Estudillo;Francisco Martínez-Estudillo;César Hervás-Martínez;Nicolás García-Pedrajas

  • Hybridization of evolutionary algorithms and local search by means of a clustering method

    A.C. Martinez-Estudillo;C. Hervas-Martinez;F.J. Martinez-Estudillo;N. Garcia-Pedrajas

  • Improving artificial neural networks with a pruning methodology and genetic algorithms for their application in microbial growth prediction in food.

    Rosa Marı́a Garcı́a-Gimeno;César Hervás-Martı́nez;Maria Isabel de Silóniz

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

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

  • An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization

    Nicolás García-Pedrajas;Domingo Ortiz-Boyer;César Hervás-Martínez

  • 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

  • PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis

    A. Castaño;F. Fernández-Navarro;C. Hervás-Martínez

  • Modelling the growth of Leuconostoc mesenteroides by Artificial Neural Networks.

    R.M. García-Gimeno;C. Hervás-Martínez;R. Rodríguez-Pérez;G. Zurera-Cosano

  • CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features

    N. García-Pedrajas;C. Hervás-Martínez;D. Ortiz-Boyer

Frequent Co-Authors

Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez University of Córdoba
Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Francisca López-Granados
Francisca López-Granados Spanish National Research Council
José C. Riquelme
José C. Riquelme University of Seville
M.P. Dorado
M.P. Dorado University of Córdoba
Xin Yao
Xin Yao Lingnan University
Alicia Troncoso
Alicia Troncoso Pablo de Olavide University
Peter Tino
Peter Tino University of Birmingham
Rafal Mantiuk
Rafal Mantiuk University of Cambridge
David Camacho
David Camacho Technical University of Madrid

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