César Hervás

23 papers B 3C 3Misc 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2019 — conf
Deep Ordinal Classification Based on the Proportional Odds Model.
IWINAC (2)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás
2011 J jnl
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology.
Appl. Soft Comput.
Juan Carlos Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez
2010 J jnl
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm.
Soft Comput.
Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
2010 J jnl
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks.
IEEE Trans. Neural Networks
Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez
2009 J jnl
Combined projection and kernel basis functions for classification in evolutionary neural networks.
Neurocomputing
Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández
2009 Misc conf
Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity.
HAIS
Juan Carlos Fernández, César Hervás, Francisco José Martínez, Pedro Antonio Gutiérrez, Manuel Cruz
2009 — ch.
Multilogistic Regression by Product Units.
Encyclopedia of Artificial Intelligence
Pedro Antonio Gutiérrez, César Hervás, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz
2009 J jnl
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.
Mercedes Torres, César Hervás, Carlos García
2008 B conf
Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher.
EDM
Sebastián Ventura, Cristóbal Romero, César Hervás
2008 B conf
Data Mining Algorithms to Classify Students.
EDM
Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás
2008 B conf
Evolutionary learning by a sensitivity-accuracy approach for multi-class problems.
IEEE Congress on Evolutionary Computation
Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández
2008 C conf
Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data.
HIS
Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás, Francisca López-Granados, Montserrat Jurado-Expósito, José Manuel Peñá-Barragán
2008 J jnl
JCLEC: a Java framework for evolutionary computation.
Soft Comput.
Sebastián Ventura, Cristóbal Romero, Amelia Zafra, José Antonio Delgado, César Hervás
2008 C conf
Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes.
HIS
Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás, Francisco José Martínez
2007 — conf
Evolutionary Combining of Basis Function Neural Networks for Classification.
IWINAC (1)
César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández
2007 C conf
Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks.
IDEAL
Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
2006 J jnl
Selection of Logical Operators for Inducing Comprehensible Knowledge.
Inteligencia Artif.
Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero
2001 J jnl
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.
César Hervás, Rocío Toledo, Manuel Silva
2000 J jnl
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.
César Hervás, José Antonio Algar, Manuel Silva
1998 J jnl
Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods.
J. Chem. Inf. Comput. Sci.
César Hervás, Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito
1998 J jnl
Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético.
Inteligencia Artif.
César Hervás, Sebastián Ventura, J. Martínez
1997 J jnl
Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics.
J. Chem. Inf. Comput. Sci.
Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás
1997 J jnl
Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks.
J. Chem. Inf. Comput. Sci.
Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás