Evolutionary Combining of Basis Function Neural Networks for Classification. - César Hervás; Francisco José Martínez; Mariano Carbonero-Ruz; Cristóbal Romero 001; Juan Carlos Fernández 001 (IWINAC (1), 2007)

Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. - Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez; César Hervás; Juan Carlos Fernández 001 (IEEE Congress on Evolutionary Computation, 2008)

Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes. - Juan Carlos Fernández 001; Pedro Antonio Gutiérrez; César Hervás; Francisco José Martínez (HIS, 2008)

Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data. - Pedro Antonio Gutiérrez; Juan Carlos Fernández 001; César Hervás; Francisca López-Granados; Montserrat Jurado-Expósito; José Manuel Peñá-Barragán (HIS, 2008)

Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks. - Pedro Antonio Gutiérrez; César Hervás-Martínez; Mariano Carbonero-Ruz; Juan Carlos Fernández 001 (Innovations in Hybrid Intelligent Systems, 2008)

Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity. - Juan Carlos Fernández 001; César Hervás; Francisco José Martínez; Pedro Antonio Gutiérrez; Manuel Cruz (HAIS, 2009)

Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture. - Pedro Antonio Gutiérrez; César Hervás-Martínez; Juan Carlos Fernández 001; Francisca López-Granados (HAIS, 2009)

MultiLogistic Regression using Initial and Radial Basis Function covariates. - Pedro Antonio Gutiérrez; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Juan Carlos Fernández 001 (IJCNN, 2009)

Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient. - Juan Carlos Fernández 001; César Hervás-Martínez; Francisco José Martínez; Manuel Cruz (ISDA, 2009)

Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction. - César Hervás-Martínez; Pedro Antonio Gutiérrez; Juan Carlos Fernández 001; Sancho Salcedo-Sanz; Antonio Portilla-Figueras; Ángel M. Pérez-Bellido; Luis Prieto (ISDA, 2009)

A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. - Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; César Hervás-Martínez; Juan Carlos Fernández 001 (IWINAC (1), 2009)

Combined projection and kernel basis functions for classification in evolutionary neural networks. - Pedro Antonio Gutiérrez; César Hervás; Mariano Carbonero-Ruz; Juan Carlos Fernández 001 (Neurocomputing, 2009)

KEEL: a software tool to assess evolutionary algorithms for data mining problems. - Jesús Alcalá-Fdez; Luciano Sánchez; Salvador García 001; María José del Jesus; Sebastián Ventura; Josep Maria Garrell i Guiu; José Otero; Cristóbal Romero 001; Jaume Bacardit; Víctor M. Rivas; Juan Carlos Fernández 001; Francisco Herrera (Soft Comput., 2009)

Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology. - Manuel Cruz-Ramírez; Javier Sánchez-Monedero; Francisco Fernández-Navarro; Juan Carlos Fernández 001; César Hervás-Martínez (IEA/AIE (3), 2010)

Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions. - Manuel Cruz-Ramírez; César Hervás-Martínez; Juan Carlos Fernández 001; Javier Sánchez-Monedero (IJCNN, 2010)

Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. - Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Javier Sánchez-Monedero; Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; M. Teresa Lamata (ISDA, 2010)

On the suitability of Extreme Learning Machine for gene classification using feature selection. - Javier Sánchez-Monedero; Manuel Cruz-Ramírez; Francisco Fernández-Navarro; Juan Carlos Fernández 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (ISDA, 2010)

Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. - Manuel Cruz-Ramírez; Javier Sánchez-Monedero; Francisco Fernández-Navarro; Juan Carlos Fernández 001; César Hervás-Martínez (Evol. Intell., 2010)

Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. - Juan Carlos Fernández Caballero; Francisco José Martínez; César Hervás; Pedro Antonio Gutiérrez (IEEE Trans. Neural Networks, 2010)

Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients. - Manuel Cruz-Ramírez; Juan Carlos Fernández Caballero; Francisco Fernández-Navarro; Javier Briceño; Manuel de la Mata; César Hervás-Martínez (GECCO (Companion), 2011)

Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front. - Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Francisco Fernández-Navarro; Javier Sánchez-Monedero; César Hervás-Martínez (SDE, 2011)

Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. - Juan Carlos Fernández 001; César Hervás; Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez (Appl. Soft Comput., 2011)

Hybrid Multi-objective Machine Learning Classification in Liver Transplantation. - M. Pérez-Ortiz 001; Manuel Cruz-Ramírez; Juan Carlos Fernández Caballero; César Hervás-Martínez (HAIS (1), 2012)

Multiobjective Pareto Ordinal Classification for Predictive Microbiology. - Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Antonio Valero; Pedro Antonio Gutiérrez; César Hervás-Martínez (SOCO, 2012)

Approaching System Administration as a Group Project in Computer Engineering Higher Education. - Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez; Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Francisco Fernández-Navarro (CISIS/ICEUTE/SOCO Special Sessions, 2012)

Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants. - Manuel Cruz-Ramírez; César Hervás-Martínez; Juan Carlos Fernández 001; Javier Briceño; Manuel de la Mata (Eur. J. Oper. Res., 2012)

Can Machine Learning Techniques Help to Improve the Common Fisheries Policy? - María Pérez-Ortiz 001; Rosa Colmenarejo; Juan Carlos Fernández Caballero; César Hervás-Martínez (IWANN (2), 2013)

Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks. - Manuel Cruz-Ramírez; César Hervás-Martínez; Juan Carlos Fernández 001; Javier Briceño; Manuel de la Mata (Artif. Intell. Medicine, 2013)

Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms. - Carlos R. García-Alonso; Leonor M. Pérez-Naranjo; Juan Carlos Fernández Caballero (Ann. Oper. Res., 2014)

Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model. - Pedro Antonio Gutiérrez; Juan Carlos Fernández 001; María Pérez-Ortiz 001; Laura Cornejo-Bueno; Enrique Alexandre-Cortizo; Sancho Salcedo-Sanz; César Hervás-Martínez (IWANN (2), 2015)

Significant wave height and energy flux range forecast with machine learning classifiers. - Juan Carlos Fernández 001; Sancho Salcedo-Sanz; Pedro Antonio Gutiérrez; Enrique Alexandre; César Hervás-Martínez (Eng. Appl. Artif. Intell., 2015)

Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments. - Antonio Manuel Durán-Rosal; Juan Carlos Fernández 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (SSCI, 2016)

Efficient fog prediction with multi-objective evolutionary neural networks. - Antonio Manuel Durán-Rosal; Juan Carlos Fernández 001; Carlos Casanova-Mateo; Julia Sanz-Justo; Sancho Salcedo-Sanz; César Hervás-Martínez (Appl. Soft Comput., 2018)

Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms. - Juan Carlos Fernández 001; Manuel Cruz-Ramírez; César Hervás-Martínez (Neural Comput. Appl., 2018)

Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks. - Juan Carlos Fernández 001; Mariano Carbonero-Ruz; Pedro Antonio Gutiérrez; César Hervás-Martínez (Appl. Intell., 2019)

Prediction of convective clouds formation using evolutionary neural computation techniques. - David Guijo-Rubio; Pedro Antonio Gutiérrez; Carlos Casanova-Mateo; Juan Carlos Fernández 001; Antonio M. Gómez-Orellana; Pablo Salvador-González; Sancho Salcedo-Sanz; César Hervás-Martínez (Neural Comput. Appl., 2020)

Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Víctor Manuel Vargas; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; Juan Carlos Fernández 001 (CISIS-ICEUTE, 2022)

An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Antonio M. Gómez-Orellana; Juan Carlos Fernández 001 (Appl. Soft Comput., 2023)

Fusion of standard and ordinal dropout techniques to regularise deep models. - Francisco Bérchez-Moreno; Juan Carlos Fernández 001; César Hervás-Martínez; Pedro Antonio Gutiérrez (Inf. Fusion, 2024)

dlordinal: A Python package for deep ordinal classification. - Francisco Bérchez-Moreno; Rafael Ayllón-Gavilán; Víctor Manuel Vargas Yun; David Guijo-Rubio; César Hervás-Martínez; Juan Carlos Fernández 001; Pedro Antonio Gutiérrez (Neurocomputing, 2025)