Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition. - César Hervás-Martínez; E. J. Romero Soto; Nicolás García-Pedrajas; Rafael Medina Carnicer (IPMU, 1992)

Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. - Sebastián Ventura; Manuel Silva 002; Dolores Pérez-Bendito; César Hervás (J. Chem. Inf. Comput. Sci., 1997)

Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. - Sebastián Ventura; Manuel Silva 002; Dolores Pérez-Bendito; César Hervás (J. Chem. Inf. Comput. Sci., 1997)

Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. - César Hervás; Sebastián Ventura; J. Martínez (Inteligencia Artif., 1998)

Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. - César Hervás; Sebastián Ventura; Manuel Silva 002; Dolores Pérez-Bendito (J. Chem. Inf. Comput. Sci., 1998)

Correction of Temperature Variations in Kinetic-Based Determinations by Use of Pruning Computational Neural Networks in Conjunction with Genetic Algorithms. - César Hervás; José Antonio Algar; Manuel Silva 002 (J. Chem. Inf. Comput. Sci., 2000)

A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures. - César Hervás-Martínez; José Antonio Martinez Heras; Sebastián Ventura; Manuel Silva 002 (ESANN, 2001)

Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods. - Domingo Ortiz-Boyer; César Hervás-Martínez; José Muñoz-Pérez (ESANN, 2001)

Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. - Nicolás García-Pedrajas; Eloy Sanz-Tapia; Domingo Ortiz-Boyer; César Hervás-Martínez (IWANN (1), 2001)

Use of Pruned Computational Neural Networks for Processing the Response of Oscillating Chemical Reactions with a View to Analyzing Nonlinear Multicomponent Mixtures. - César Hervás; Rocío Toledo; Manuel Silva 002 (J. Chem. Inf. Comput. Sci., 2001)

Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. - César Hervás-Martínez; Domingo Ortiz-Boyer; Nicolás García-Pedrajas (PPSN, 2002)

Crossover Operator Effect in Function Optimization with Constraints. - Domingo Ortiz-Boyer; César Hervás-Martínez; Nicolás García-Pedrajas (PPSN, 2002)

Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). - Nicolás García-Pedrajas; César Hervás-Martínez; José Muñoz-Pérez (Neural Networks, 2002)

Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms. - Rafael del Castillo Gomariz; César Hervás-Martínez; Sebastián Ventura; Domingo Ortiz-Boyer (CAEPIA, 2003)

Node Level Crossover Applied to Neural Network Evolution. - Eloy Sanz-Tapia; Nicolás García-Pedrajas; Domingo Ortiz-Boyer; César Hervás-Martínez (IWANN (1), 2003)

COVNET: a cooperative coevolutionary model for evolving artificial neural networks. - Nicolás García-Pedrajas; César Hervás-Martínez; José Muñoz-Pérez (IEEE Trans. Neural Networks, 2003)

Cooperative coevolution of generalized multi-layer perceptrons. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer; César Hervás-Martínez (Neurocomputing, 2004)

Heuristic Extraction of Rules in Pruned Artificial Neural Networks Models Used for Quantifying Highly Overlapping Chromatographic Peaks. - César Hervás-Martínez; Manuel Silva 002; Juan Manuel Serrano; Eva Orejuela (J. Chem. Inf. Model., 2004)

Crossover effect over penalty methods in function optimization with constraints. - Domingo Ortiz-Boyer; Rafael del Castillo Gomariz; Nicolás García-Pedrajas; César Hervás-Martínez (Congress on Evolutionary Computation, 2005)

Cascade Ensembles. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer; Rafael del Castillo Gomariz; César Hervás-Martínez (IWANN, 2005)

Memetic Algorithms to Product-Unit Neural Networks for Regression. - Francisco J. Martínez-Estudillo; César Hervás-Martínez; Alfonso C. Martínez-Estudillo; Domingo Ortiz-Boyer (IWANN, 2005)

Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms. - Mercedes Torres; César Hervás-Martínez; Francisco Amador (Comput. Oper. Res., 2005)

CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. - Domingo Ortiz-Boyer; César Hervás-Martínez; Nicolás García-Pedrajas (J. Artif. Intell. Res., 2005)

Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm. - César Hervás-Martínez; Alfonso Carlos Martínez-Estudillo; Manuel Silva 002; Juan Manuel Serrano (J. Chem. Inf. Model., 2005)

Analyzing the statistical features of CIXL2 crossover offspring. - César Hervás-Martínez; Domingo Ortiz-Boyer (Soft Comput., 2005)

Cooperative coevolution of artificial neural network ensembles for pattern classification. - Nicolás García-Pedrajas; César Hervás-Martínez; Domingo Ortiz-Boyer (IEEE Trans. Evol. Comput., 2005)

An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. - Cristóbal Romero 001; Sebastián Ventura; César Hervás-Martínez; Paul De Bra (AH, 2006)

Evolutionary Product-Unit Neural Networks for Classification. - Francisco J. Martínez-Estudillo; César Hervás-Martínez; Pedro Antonio Gutiérrez Peña; Alfonso C. Martínez-Estudillo; Sebastián Ventura (IDEAL, 2006)

Classification by means of Evolutionary Product-Unit Neural Networks. - César Hervás-Martínez; Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez (IJCNN, 2006)

Selection of Logical Operators for Inducing Comprehensible Knowledge. - Pedro G. Espejo; César Hervás; Sebastián Ventura; Cristóbal Romero 001 (Inteligencia Artif., 2006)

Web-based adaptive training simulator system for cardiac life support. - Cristóbal Romero 001; Sebastián Ventura; Eva Lucrecia Gibaja Galindo; César Hervás-Martínez; Francisco Romero Morales (Artif. Intell. Medicine, 2006)

An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer; César Hervás-Martínez (Neural Networks, 2006)

Evolutionary product unit based neural networks for regression. - Alfonso C. Martínez-Estudillo; Francisco J. Martínez-Estudillo; César Hervás-Martínez; Nicolás García-Pedrajas (Neural Networks, 2006)

Hybridization of evolutionary algorithms and local search by means of a clustering method. - Alfonso C. Martínez-Estudillo; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Nicolás García-Pedrajas (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. - Pedro Antonio Gutiérrez; César Hervás; Manuel Lozano 001 (IDEAL, 2007)

Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification. - Francisco J. Martínez-Estudillo; César Hervás-Martínez; Alfonso C. Martínez-Estudillo; Pedro Antonio Gutiérrez Peña (IWANN, 2007)

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)

Improving crossover operator for real-coded genetic algorithms using virtual parents. - Domingo Ortiz-Boyer; César Hervás-Martínez; Nicolás García-Pedrajas (J. Heuristics, 2007)

Logistic regression using covariates obtained by product-unit neural network models. - César Hervás-Martínez; Francisco J. Martínez-Estudillo (Pattern Recognit., 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)

Data Mining Algorithms to Classify Students. - Cristóbal Romero 001; Sebastián Ventura; Pedro G. Espejo; César Hervás (EDM, 2008)

Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. - Sebastián Ventura; Cristóbal Romero 001; César Hervás (EDM, 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)

Evolutionary product-unit neural networks classifiers. - Francisco J. Martínez-Estudillo; César Hervás-Martínez; Pedro Antonio Gutiérrez; Alfonso C. Martínez-Estudillo (Neurocomputing, 2008)

Multilogistic regression by means of evolutionary product-unit neural networks. - César Hervás-Martínez; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz (Neural Networks, 2008)

Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. - Domingo Ortiz-Boyer; César Hervás-Martínez; Nicolás García-Pedrajas (Soft Comput., 2008)

JCLEC: a Java framework for evolutionary computation. - Sebastián Ventura; Cristóbal Romero 001; Amelia Zafra; Jose Antonio Delgado; César Hervás (Soft Comput., 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)

Classification by Evolutionary Generalized Radial Basis Functions. - Adiel Castaño; César Hervás-Martínez; Pedro Antonio Gutiérrez; Francisco Fernández-Navarro; María Matilda García (ISDA, 2009)

A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. - Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; César Hervás-Martínez (ISDA, 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)

Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households. - Carlos R. García-Alonso; Jorge Guardiola; César Hervás-Martínez (Eur. J. Oper. Res., 2009)

Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector. - Mercedes Torres; César Hervás; Carlos García (Expert Syst. Appl., 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)

Multilogistic Regression by Product Units. - Pedro Antonio Gutiérrez; César Hervás; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz (Encyclopedia of Artificial Intelligence, 2009)

Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; Manuel Cruz-Ramírez; Mariano Carbonero-Ruz (HAIS (2), 2010)

Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. - Javier Sánchez-Monedero; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz; M. C. Ramírez Moreno; Manuel Cruz-Ramírez (HAIS (2), 2010)

Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; Roberto Ruiz; José C. Riquelme (ICANN (1), 2010)

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)

Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises. - Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; María Jesús Segovia-Vargas; A. Sanchis; José Antonio Portilla-Figueras; Francisco Fernández-Navarro; 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)

Income prediction in the agrarian sector using product unit neural networks. - Carlos R. García-Alonso; Mercedes Torres-Jiménez; César Hervás-Martínez (Eur. J. Oper. Res., 2010)

A logistic radial basis function regression method for discrimination of cover crops in olive orchards. - César Hervás-Martínez; Pedro Antonio Gutiérrez; José Manuel Peñá-Barragán; Montserrat Jurado-Expósito; Francisca López-Granados (Expert Syst. Appl., 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)

Classification by evolutionary generalised radial basis functions. - Adiel Castaño; Francisco Fernández-Navarro; César Hervás-Martínez; María Matilda García; Pedro Antonio Gutiérrez (Int. J. Hybrid Intell. Syst., 2010)

Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm. - Pedro Antonio Gutiérrez; César Hervás; Manuel Lozano 001 (Soft Comput., 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)

Permanent disability classification using hybrid neuro-logistic regression models. - Pedro Antonio Gutiérrez; Manuel Baena-García; Rafael Morales Bueno; César Hervás-Martínez (HIMA, 2011)

A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm. - Manuel Cruz-Ramírez; César Hervás-Martínez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez (ISDA, 2011)

Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns. - Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez; Leopoldo Carro-Calvo; Javier Sánchez-Monedero; Luis Prieto (ISDA, 2011)

Ordinal classification of depression spatial hot-spots of prevalence. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Carlos R. García-Alonso; Luis Salvador-Carulla; Jose Alberto Salinas-Perez; César Hervás-Martínez (ISDA, 2011)

Numerical variable reconstruction from ordinal categories based on probability distributions. - Javier Sánchez-Monedero; Mariano Carbonero-Ruz; David Becerra-Alonso; Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez; César Hervás-Martínez (ISDA, 2011)

Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation. - Manuel Cruz-Ramírez; César Hervás-Martínez; Pedro Antonio Gutiérrez; Javier Briceño; Manuel de la Mata (IWANN (2), 2011)

Hybrid Artificial Neural Networks: Models, Algorithms and Data. - Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2011)

Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez; José C. Riquelme; Roberto Ruiz (IWINAC (2), 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)

Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification. - Adiel Castaño Méndez; Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; Manuel Baena-García; César Hervás-Martínez (SOCO, 2011)

Sound Source Identification in Vehicles Using a Combined Linear-Evolutionary Product Unit Neural Network Model. - M. Dolores Redel-Macías; Pedro Antonio Gutiérrez; Antonio J. Cubero-Atienza; César Hervás-Martínez (SOCO, 2011)

Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus. - Francisco Fernández-Navarro; César Hervás-Martínez; Manuel Cruz-Ramírez; Pedro Antonio Gutiérrez; Antonio Valero (Appl. Soft Comput., 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)

Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity. - Francisco Fernández-Navarro; César Hervás-Martínez; Carlos R. García-Alonso; Mercedes Torres-Jiménez (Expert Syst. Appl., 2011)

A two-stage algorithm in evolutionary product unit neural networks for classification. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez (Expert Syst. Appl., 2011)

MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. - Francisco Fernández-Navarro; César Hervás-Martínez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez (Neurocomputing, 2011)

Evolutionary q-Gaussian radial basis function neural networks for multiclassification. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; Mariano Carbonero-Ruz (Neural Networks, 2011)

Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem. - Adiel Castaño; Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez (Neural Process. Lett., 2011)

Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; Francisco Fernández-Navarro; César Hervás-Martínez (Neural Process. Lett., 2011)

A dynamic over-sampling procedure based on sensitivity for multi-class problems. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez (Pattern Recognit., 2011)

Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. - Pedro Antonio Gutiérrez; César Hervás-Martínez; Francisco J. Martínez-Estudillo (IEEE Trans. Neural Networks, 2011)

Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions. - Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS (2), 2012)

Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. - Francisco Fernández-Navarro; Huanhuan Chen; Pedro Antonio Gutiérrez; César Hervás-Martínez; Xin Yao 001 (HAIS (2), 2012)

An Experimental Study of Different Ordinal Regression Methods and Measures. - Pedro Antonio Gutiérrez; M. Pérez-Ortiz 001; Francisco Fernández-Navarro; Javier Sánchez-Monedero; César Hervás-Martínez (HAIS (2), 2012)

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)

An ensemble approach for ordinal threshold models applied to liver transplantation. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez; Javier Briceño; Manuel de la Mata (IJCNN, 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)

A System Learning User Preferences for Multiobjective Optimization of Facility Layouts. - M. Pérez-Ortiz 001; Antonio Arauzo-Azofra; César Hervás-Martínez; Laura García-Hernández; Lorenzo Salas-Morera (SOCO, 2012)

An Ordinal Regression Approach for the Unequal Area Facility Layout Problem. - M. Pérez-Ortiz 001; Laura García-Hernández; Lorenzo Salas-Morera; Antonio Arauzo-Azofra; César Hervás-Martínez (SOCO, 2012)

Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. - Francisco Fernández-Navarro; César Hervás-Martínez; Roberto Ruiz; José C. Riquelme (Appl. Soft Comput., 2012)

Distribution of the search of evolutionary product unit neural networks for classification - Antonio J. Tallón-Ballesteros; Pedro Antonio Gutiérrez Peña; César Hervás-Martínez (CoRR, 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)

Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods. - Adiel Castaño; Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; César Hervás-Martínez (Expert Syst. Appl., 2012)

A multi-objective neural network based method for cover crop identification from remote sensed data. - Manuel Cruz-Ramírez; César Hervás-Martínez; Montserrat Jurado-Expósito; Francisca López-Granados (Expert Syst. Appl., 2012)

Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; José Manuel Peñá-Barragán; Francisca López-Granados (Neurocomputing, 2012)

A Structural Distance-Based Crossover for Neural Network Classifiers. - Manuel Moreno; Pedro Antonio Gutiérrez; César Hervás-Martínez (Int. J. Pattern Recognit. Artif. Intell., 2012)

A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems. - Pedro Antonio Gutiérrez; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz (Inf. Sci., 2012)

Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms. - César Hervás-Martínez; Sancho Salcedo-Sanz; Pedro Antonio Gutiérrez; Emilio G. Ortíz-García; Luis Prieto (Neural Comput. Appl., 2012)

Synthetic over-sampling in the empirical feature space. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (ESANN, 2013)

Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (ESANN, 2013)

Borderline Kernel Based Over-Sampling. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2013)

Evolutionary Ordinal Extreme Learning Machine. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2013)

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)

Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Manuel Cruz-Ramírez; Javier Sánchez-Monedero; César Hervás-Martínez (IWANN (1), 2013)

An n-Spheres Based Synthetic Data Generator for Supervised Classification. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; César Hervás-Martínez (IWANN (1), 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)

PpcProject: An educational tool for software project management. - Lorenzo Salas-Morera; Antonio Arauzo-Azofra; Laura García-Hernández; Juan M. Palomo-Romero; César Hervás-Martínez (Comput. Educ., 2013)

Ordinal and nominal classification of wind speed from synoptic pressurepatterns. - Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez; Leopoldo Carro-Calvo; Javier Sánchez-Monedero; Luis Prieto (Eng. Appl. Artif. Intell., 2013)

Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks. - M. Dolores Redel-Macías; Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; Antonio José Cubero-Atienza; César Hervás-Martínez (Expert Syst. Appl., 2013)

Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles. - María Dolores Redel-Macías; Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; Antonio José Cubero-Atienza; César Hervás-Martínez (Neurocomputing, 2013)

Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez; José C. Riquelme; Roberto Ruiz (Neurocomputing, 2013)

Exploitation of Pairwise Class Distances for Ordinal Classification. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; Peter Tiño; César Hervás-Martínez (Neural Comput., 2013)

PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis. - Adiel Castaño; Francisco Fernández-Navarro; César Hervás-Martínez (Neural Process. Lett., 2013)

Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem. - Manuel Cruz-Ramírez; César Hervás-Martínez; Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Briceño; Manuel de la Mata (Soft Comput., 2013)

Generalised Gaussian radial basis function neural networks. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez (Soft Comput., 2013)

Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach. - Francisco Fernández-Navarro; Pilar Campoy-Muñoz; Monica-de la Paz-Marin; César Hervás-Martínez; Xin Yao 001 (IEEE Trans. Cybern., 2013)

Negative Correlation Ensemble Learning for Ordinal Regression. - Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; César Hervás-Martínez; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Time Series Segmentation and Statistical Characterisation of the Spanish Stock Market Ibex-35 Index. - Manuel Cruz-Ramírez; Monica-de la Paz-Marin; M. Pérez-Ortiz 001; César Hervás-Martínez (HAIS, 2014)

Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2014)

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez; Athanasia Nikolaou; Isabelle Dicaire; Francisco Fernández-Navarro (HAIS, 2014)

Incorporating Privileged Information to Improve Manifold Ordinal Regression. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IJCCI (NCTA), 2014)

Learning Kernel Label Decompositions for Ordinal Classification Problems. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IJCCI (NCTA), 2014)

An organ allocation system for liver transplantation based on ordinal regression. - M. Pérez-Ortiz 001; Manuel Cruz-Ramírez; María Dolores Ayllón-Terán; N. Heaton; Rubén Ciria; César Hervás-Martínez (Appl. Soft Comput., 2014)

A guided data projection technique for classification of sovereign ratings: The case of European Union 27. - Javier Sánchez-Monedero; Pilar Campoy-Muñoz; Pedro Antonio Gutiérrez; César Hervás-Martínez (Appl. Soft Comput., 2014)

Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier. - Javier Sánchez-Monedero; Sancho Salcedo-Sanz; Pedro Antonio Gutiérrez; Carlos Casanova-Mateo; César Hervás-Martínez (Eng. Appl. Artif. Intell., 2014)

Addressing remitting behavior using an ordinal classification approach. - Pilar Campoy-Muñoz; Pedro Antonio Gutiérrez; César Hervás-Martínez (Expert Syst. Appl., 2014)

Metrics to guide a multi-objective evolutionary algorithm for ordinal classification. - Manuel Cruz-Ramírez; César Hervás-Martínez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez (Neurocomputing, 2014)

An evolutionary neural system for incorporating expert knowledge into the UA-FLP. - Laura García-Hernández; M. Pérez-Ortiz 001; Antonio Arauzo-Azofra; Lorenzo Salas-Morera; César Hervás-Martínez (Neurocomputing, 2014)

Classification of EU countries' progress towards sustainable development based on ordinal regression techniques. - M. Pérez-Ortiz 001; Monica-de la Paz-Marin; Pedro Antonio Gutiérrez; César Hervás-Martínez (Knowl. Based Syst., 2014)

Ordinal regression neural networks based on concentric hyperspheres. - Pedro Antonio Gutiérrez; Peter Tiño; César Hervás-Martínez (Neural Networks, 2014)

Object-Based Image Classification of Summer Crops with Machine Learning Methods. - José M. Peña 003; Pedro Antonio Gutiérrez; César Hervás-Martínez; Johan Six; Richard E. Plant; Francisca López-Granados (Remote. Sens., 2014)

Projection-Based Ensemble Learning for Ordinal Regression. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IEEE Trans. Cybern., 2014)

Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models. - Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (CAEPIA, 2015)

Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency. - Carlos R. García-Alonso; César Hervás-Martínez; Salud Millán-Lara; Mercedes Torres-Jiménez (CAEPIA, 2015)

Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models. - Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (IWANN (2), 2015)

Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series. - Antonio Manuel Durán-Rosal; Monica-de la Paz-Marin; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2015)

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)

An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; José Manuel Peñá-Barragán; Jorge Torres-Sánchez; César Hervás-Martínez; Francisca López-Granados (IWANN (1), 2015)

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method. - M. Pérez-Ortiz 001; José Manuel Peñá-Barragán; Pedro Antonio Gutiérrez; Jorge Torres-Sánchez; César Hervás-Martínez; Francisca López-Granados (Appl. Soft Comput., 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)

Classification of countries' progress toward a knowledge economy based on machine learning classification techniques. - Monica-de la Paz-Marin; Pedro Antonio Gutiérrez; César Hervás-Martínez (Expert Syst. Appl., 2015)

Kernelising the Proportional Odds Model through kernel learning techniques. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Manuel Cruz-Ramírez; Javier Sánchez-Monedero; César Hervás-Martínez (Neurocomputing, 2015)

Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency. - Mercedes Torres-Jiménez; Carlos R. García-Alonso; Javier Sánchez-Monedero; Salud Millán-Lara; César Hervás-Martínez (Prog. Artif. Intell., 2015)

Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2015)

Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines. - Manuel Dorado-Moreno; Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; Luis Prieto; Sancho Salcedo-Sanz; César Hervás-Martínez (CAEPIA, 2016)

On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm. - Antonio Manuel Durán-Rosal; Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2016)

Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Mariano Carbonero-Ruz; César Hervás-Martínez (CAEPIA, 2016)

Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem. - Manuel Dorado-Moreno; María Pérez-Ortiz 001; María Dolores Ayllón-Terán; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2016)

Time Series Representation by a Novel Hybrid Segmentation Algorithm. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez Peña; Francisco José Martínez-Estudillo; César Hervás-Martínez (HAIS, 2016)

Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being. - María Pérez-Ortiz 001; Mercedes Torres-Jiménez; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (HAIS, 2016)

Classification of Melanoma Presence and Thickness Based on Computational Image Analysis. - Javier Sánchez-Monedero; Aurora Sáez; María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2016)

Representing ordinal input variables in the context of ordinal classification. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Sánchez-Monedero; César Hervás-Martínez (IJCNN, 2016)

Tackling the ordinal and imbalance nature of a melanoma image classification problem. - María Pérez-Ortiz 001; Aurora Sáez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; César Hervás-Martínez (IJCNN, 2016)

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)

Machine learning paradigms for weed mapping via unmanned aerial vehicles. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; José M. Peña 003; Jorge Torres-Sánchez; Francisca López-Granados; César Hervás-Martínez (SSCI, 2016)

Adapting linear discriminant analysis to the paradigm of learning from label proportions. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Mariano Carbonero-Ruz; César Hervás-Martínez (SSCI, 2016)

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery. - María Pérez-Ortiz 001; José Manuel Peñá-Barragán; Pedro Antonio Gutiérrez; Jorge Torres-Sánchez; César Hervás-Martínez; Francisca López-Granados (Expert Syst. Appl., 2016)

Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis. - Adiel Castaño; Francisco Fernández-Navarro; Annalisa Riccardi; César Hervás-Martínez (Neural Comput. Appl., 2016)

Semi-supervised learning for ordinal Kernel Discriminant Analysis. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Mariano Carbonero-Ruz; César Hervás-Martínez (Neural Networks, 2016)

On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes. - M. Pérez-Ortiz 001; Manuel Fernández Delgado; Eva Cernadas; R. Domínguez-Petit; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neural Process. Lett., 2016)

A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (Neural Process. Lett., 2016)

Ordinal Regression Methods: Survey and Experimental Study. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Sánchez-Monedero; Francisco Fernández-Navarro; César Hervás-Martínez (IEEE Trans. Knowl. Data Eng., 2016)

Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images. - Aurora Sáez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; César Hervás-Martínez (IEEE Trans. Medical Imaging, 2016)

Oversampling the Minority Class in the Feature Space. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Peter Tiño; César Hervás-Martínez (IEEE Trans. Neural Networks Learn. Syst., 2016)

Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction. - Manuel Dorado-Moreno; Laura Cornejo-Bueno; Pedro Antonio Gutiérrez; Luis Prieto; Sancho Salcedo-Sanz; César Hervás-Martínez (IWANN (1), 2017)

A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (IWANN (1), 2017)

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. - María Pérez-Ortiz 001; Kelwin Fernandes; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Javier Briceño; César Hervás-Martínez (IWANN (2), 2017)

Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem. - Manuel Dorado-Moreno; María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Rubén Ciria; Javier Briceño; César Hervás-Martínez (Artif. Intell. Medicine, 2017)

Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; María Dolores Ayllón-Terán; N. Heaton; Rubén Ciria; Javier Briceño; César Hervás-Martínez (Knowl. Based Syst., 2017)

Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm. - Antonio Manuel Durán-Rosal; Monica-de la Paz-Marin; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neural Process. Lett., 2017)

Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation. - Antonio Manuel Durán-Rosal; Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; César Hervás-Martínez (Prog. Artif. Intell., 2017)

Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (BIOMA, 2018)

An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (CAEPIA, 2018)

Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks. - Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; Luis Prieto; César Hervás-Martínez (IDEAL (2), 2018)

Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; César Hervás-Martínez (IDEAL (2), 2018)

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)

A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (Appl. Soft Comput., 2018)

Partial order label decomposition approaches for melanoma diagnosis. - Javier Sánchez-Monedero; María Pérez-Ortiz 001; Aurora Sáez; Pedro Antonio Gutiérrez; César Hervás-Martínez (Appl. Soft Comput., 2018)

Time series clustering based on the characterisation of segment typologies. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Alicia Troncoso; César Hervás-Martínez (CoRR, 2018)

Simultaneous optimisation of clustering quality and approximation error for time series segmentation. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Francisco José Martínez-Estudillo; César Hervás-Martínez (Inf. Sci., 2018)

Time series forecasting by recurrent product unit neural networks. - Francisco Fernández-Navarro; Maria Angeles de la Cruz; Pedro Antonio Gutiérrez; Adiel Castaño; César Hervás-Martínez (Neural Comput. Appl., 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)

Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. - María Pérez-Ortiz 001; Peter Tiño; Rafal Mantiuk; César Hervás-Martínez (AAAI, 2019)

Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. - David Guijo-Rubio; Pedro J. Villalón-Vaquero; Pedro Antonio Gutiérrez; María Dolores Ayllón-Terán; Javier Briceño; César Hervás-Martínez (IDEAL (2), 2019)

Deep Ordinal Classification Based on the Proportional Odds Model. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás (IWINAC (2), 2019)

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)

Deep ordinal classification based on cumulative link models. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez (CoRR, 2019)

A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Ángel Carmona-Poyato; César Hervás-Martínez (Neurocomputing, 2019)

On the use of evolutionary time series analysis for segmenting paleoclimate data. - María Pérez-Ortiz 001; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; Athanasia Nikolaou; Francisco Fernández-Navarro; César Hervás-Martínez (Neurocomputing, 2019)

Dynamical memetization in coral reef optimization algorithms for optimal time series approximation. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (Prog. Artif. Intell., 2019)

Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. - Alejandro Martín; Raúl Lara-Cabrera; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Camacho (CEC, 2020)

Time series ordinal classification via shapelets. - David Guijo-Rubio; Pedro Antonio Gutiérrez; Anthony J. Bagnall; César Hervás-Martínez (IJCNN, 2020)

Ordinal Versus Nominal Time Series Classification. - David Guijo-Rubio; Pedro Antonio Gutiérrez; Anthony J. Bagnall; César Hervás-Martínez (AALTD@PKDD/ECML, 2020)

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm. - Alejandro Martín; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; David Camacho; César Hervás-Martínez (Appl. Soft Comput., 2020)

Cumulative link models for deep ordinal classification. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neurocomputing, 2020)

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)

Multi-task learning for the prediction of wind power ramp events with deep neural networks. - Manuel Dorado-Moreno; Nicolò Navarin; Pedro Antonio Gutiérrez; Luis Prieto; Alessandro Sperduti; Sancho Salcedo-Sanz; César Hervás-Martínez (Neural Networks, 2020)

Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing. - Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; Laura Cornejo-Bueno; Luis Prieto; Sancho Salcedo-Sanz; César Hervás-Martínez (Neural Process. Lett., 2020)

Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification. - David Guijo-Rubio; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2021)

ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. - Víctor Manuel Vargas; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2021)

An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients. - Javier Barbero-Gómez; Pedro Antonio Gutiérrez; Víctor Manuel Vargas; Juan-Antonio Vallejo-Casas; César Hervás-Martínez (Expert Syst. Appl., 2021)

Time-Series Clustering Based on the Characterization of Segment Typologies. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Alicia Troncoso; César Hervás-Martínez (IEEE Trans. Cybern., 2021)

Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain. - Miguel Díaz-Lozano; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWINAC (1), 2022)

Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification. - Rafael Ayllón-Gavilán; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (SOCO, 2022)

Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; Lorenzo Bianchini; Alessandra Capriotti; Rosario Capparuccia; Emanuele Frontoni (SOCO, 2022)

COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. - Miguel Díaz-Lozano; David Guijo-Rubio; Pedro Antonio Gutiérrez; Antonio Manuel Gómez-Orellana; Isaac Túñez; Luis Ortigosa-Moreno; Armando Romanos-Rodríguez; Javier Padillo-Ruiz; César Hervás-Martínez (Expert Syst. Appl., 2022)

A novel deep ordinal classification approach for aesthetic quality control classification. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; Emanuele Frontoni (Neural Comput. Appl., 2022)

Unimodal regularisation based on beta distribution for deep ordinal regression. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez (Pattern Recognit., 2022)

A Dictionary-Based Approach to Time Series Ordinal Classification. - Rafael Ayllón-Gavilán; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2023)

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. - Javier Barbero-Gómez; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2023)

Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. - Marcos Rivera-Gavilán; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Briceño; César Hervás-Martínez; David Guijo-Rubio (IWANN (2), 2023)

Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. - Víctor Manuel Vargas; Rafael Ayllón-Gavilán; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Guijo-Rubio (IWANN (2), 2023)

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni; César Hervás-Martínez (Comput. Ind., 2023)

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. - Víctor Manuel Vargas; Riccardo Rosati 002; César Hervás-Martínez; Adriano Mancini; Luca Romeo; Pedro Antonio Gutiérrez (Eng. Appl. Artif. Intell., 2023)

Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Barbero-Gómez; César Hervás-Martínez (IEEE Trans. Neural Networks Learn. Syst., 2023)

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni; César Hervás-Martínez (Appl. Soft Comput., 2023)

Soft labelling based on triangular distributions for ordinal classification. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Barbero-Gómez; César Hervás-Martínez (Inf. Fusion, 2023)

Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2. - Miguel Díaz-Lozano; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (Expert Syst. Appl., 2023)

Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. - Javier Barbero-Gómez; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neural Process. Lett., 2023)

Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. - Víctor Manuel Vargas; Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (Inf. Sci., 2023)

O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification. - Rafael Ayllón-Gavilán; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2024)

Age Estimation Using Soft Labelling Ordinal Classification Approaches. - Víctor Manuel Vargas Yun; Antonio M. Gómez-Orellana; David Guijo-Rubio; Francisco Bérchez-Moreno; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2024)

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. - Antonio M. Gómez-Orellana; Víctor Manuel Vargas; David Guijo-Rubio; Jorge Pérez-Aracil; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (IWINAC (2), 2024)

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. - Antonio M. Gómez-Orellana; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Jorge Pérez-Aracil; Sancho Salcedo-Sanz; César Hervás-Martínez; David Guijo-Rubio (IWINAC (2), 2024)

Validation of artificial neural networks to model the acoustic behaviour of induction motors. - F. J. Jimenez-Romero; David Guijo-Rubio; F. R. Lara-Raya; A. Ruiz-Gonzalez; César Hervás-Martínez (CoRR, 2024)

Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Barbero-Gómez; César Hervás-Martínez (CoRR, 2024)

Splitting criteria for ordinal decision trees: an experimental study. - Rafael Ayllón-Gavilán; Francisco José Martínez-Estudillo; David Guijo-Rubio; César Hervás-Martínez; Pedro Antonio Gutiérrez (CoRR, 2024)

ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. - Antonio M. Gómez-Orellana; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez; Víctor Manuel Vargas (Eng. Appl. Artif. Intell., 2024)

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)

EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. - Víctor Manuel Vargas; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Guijo-Rubio (Knowl. Based Syst., 2024)

Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds. - Alejandro Morales-Martín; Francisco Javier Mesas-Carrascosa; Pedro Antonio Gutiérrez; Fernando-Juan Pérez-Porras; Víctor Manuel Vargas; César Hervás-Martínez (Sensors, 2024)

CNN explanation methods for ordinal regression tasks. - Javier Barbero-Gómez; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neurocomputing, 2025)

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)

Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification. - Rafael Ayllón-Gavilán; David Guijo-Rubio; Pedro Antonio Gutiérrez; Anthony J. Bagnall; César Hervás-Martínez (IEEE Trans. Cybern., 2025)

Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Emanuele Frontoni; César Hervás-Martínez (IEEE Trans. Neural Networks Learn. Syst., 2025)