César Hervás

Publication Activity (10 Years)

Years Active: 1997-2019
Publications (10 Years): 1

Top Topics

Ordinal Classification

Top Venues

Publications

Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás
Deep Ordinal Classification Based on the Proportional Odds Model. IWINAC (2) (2019)
Juan Carlos Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. Appl. Soft Comput. 11 (1) (2011)
Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. IEEE Trans. Neural Networks 21 (5) (2010)
Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm. Soft Comput. 14 (6) (2010)
Juan Carlos Fernández, César Hervás, Francisco José Martínez, Pedro Antonio Gutiérrez, Manuel Cruz
Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity. HAIS (2009)
Mercedes Torres, César Hervás, Carlos García
Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector. Expert Syst. Appl. 36 (10) (2009)
Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández
Combined projection and kernel basis functions for classification in evolutionary neural networks. Neurocomputing 72 (13-15) (2009)
Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás, Francisco José Martínez
Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes. HIS (2008)
Sebastián Ventura, Cristóbal Romero, Amelia Zafra, Jose Antonio Delgado, César Hervás
JCLEC: a Java framework for evolutionary computation. Soft Comput. 12 (4) (2008)
Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández
Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. IEEE Congress on Evolutionary Computation (2008)
Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás
Data Mining Algorithms to Classify Students. EDM (2008)
Sebastián Ventura, Cristóbal Romero, César Hervás
Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM (2008)
Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás, Francisca López-Granados, Montserrat Jurado-Expósito, José Manuel Peñá-Barragán
Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data. HIS (2008)
Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. IDEAL (2007)
César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández
Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) (2007)
Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero
Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artif. 10 (29) (2006)
César Hervás, Rocío Toledo, Manuel Silva
Use of Pruned Computational Neural Networks for Processing the Response of Oscillating Chemical Reactions with a View to Analyzing Nonlinear Multicomponent Mixtures. J. Chem. Inf. Comput. Sci. 41 (4) (2001)
César Hervás, José Antonio Algar, Manuel Silva
Correction of Temperature Variations in Kinetic-Based Determinations by Use of Pruning Computational Neural Networks in Conjunction with Genetic Algorithms. J. Chem. Inf. Comput. Sci. 40 (3) (2000)
César Hervás, Sebastián Ventura, J. Martínez
Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. Inteligencia Artif. 2 (5) (1998)
César Hervás, Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito
Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. J. Chem. Inf. Comput. Sci. 38 (6) (1998)
Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás
Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. J. Chem. Inf. Comput. Sci. 37 (2) (1997)
Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás
Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. J. Chem. Inf. Comput. Sci. 37 (3) (1997)