César Hervás-Martínez

244 papers A* 1A 2B 13C 12Misc 13Journal 133Unranked 69

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression. Appl. Soft Comput. Antonio Manuel Gómez-Orellana, Michele Bernardini, Rafael Ayllón-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Luca Romeo
2026	J	`jnl`	Splitting criteria for ordinal decision trees: An experimental study. Pattern Recognit. Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, Pedro Antonio Gutiérrez
2025	J	`jnl`	CNN explanation methods for ordinal regression tasks. Neurocomputing Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025	J	`jnl`	Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification. IEEE Trans. Cybern. Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2025	—	`conf`	Hybrid Dropout for Deep Ordinal Classification. IWANN (1) Francisco Bérchez-Moreno, Francisco Moreno-Cano, David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025	—	`conf`	Knee Osteoarthritis Severity Grading Using Soft Labelling and Ordinal Classification. IWANN (1) Francisco Bérchez-Moreno, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, David Guijo-Rubio, Luca Romeo, Edoardo Conti, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025	J	`jnl`	Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. IEEE Trans. Neural Networks Learn. Syst. Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez
2025	J	`jnl`	Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning. Integr. Comput. Aided Eng. Rafael Ayllón-Gavilán, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025	J	`jnl`	dlordinal: A Python package for deep ordinal classification. Neurocomputing Francisco Bérchez-Moreno, Rafael Ayllón-Gavilán, Víctor Manuel Vargas Yun, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2024	J	`jnl`	A two-stage algorithm in evolutionary product unit neural networks for classification. CoRR Antonio J. Tallón-Ballesteros, César Hervás-Martínez
2024	—	`conf`	Age Estimation Using Soft Labelling Ordinal Classification Approaches. CAEPIA Víctor Manuel Vargas Yun, Antonio M. Gómez-Orellana, David Guijo-Rubio, Francisco Bérchez-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
2024	J	`jnl`	Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds. Sensors Alejandro Morales-Martín, Francisco Javier Mesas-Carrascosa, Pedro Antonio Gutiérrez, Fernando-Juan Pérez-Porras, Víctor Manuel Vargas, César Hervás-Martínez
2024	J	`jnl`	EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. Knowl. Based Syst. Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
2024	—	`conf`	Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. IWINAC (2) Antonio M. Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio
2024	J	`jnl`	Fusion of standard and ordinal dropout techniques to regularise deep models. Inf. Fusion Francisco Bérchez-Moreno, Juan Carlos Fernández, César Hervás-Martínez, Pedro Antonio Gutiérrez
2024	J	`jnl`	Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions. CoRR Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
2024	—	`conf`	Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. IWINAC (2) Antonio M. Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2024	—	`conf`	O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification. CAEPIA Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2024	J	`jnl`	ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. Eng. Appl. Artif. Intell. Antonio M. Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas
2024	J	`jnl`	Splitting criteria for ordinal decision trees: an experimental study. CoRR Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, Pedro Antonio Gutiérrez
2024	J	`jnl`	Validation of artificial neural networks to model the acoustic behaviour of induction motors. CoRR F. J. Jimenez-Romero, David Guijo-Rubio, F. R. Lara-Raya, A. Ruiz-Gonzalez, César Hervás-Martínez
2024	J	`jnl`	dlordinal: a Python package for deep ordinal classification. CoRR Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2023	—	`conf`	A Dictionary-Based Approach to Time Series Ordinal Classification. IWANN (2) Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023	J	`jnl`	A Dictionary-based approach to Time Series Ordinal Classification. CoRR Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023	J	`jnl`	A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. CoRR Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
2023	J	`jnl`	A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. Eng. Appl. Artif. Intell. Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
2023	J	`jnl`	Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study. IEEE Trans. Neural Networks Learn. Syst. Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
2023	J	`jnl`	Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2. Expert Syst. Appl. Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023	J	`jnl`	Convolutional and Deep Learning based techniques for Time Series Ordinal Classification. CoRR Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2023	J	`jnl`	Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. Comput. Ind. Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
2023	J	`jnl`	Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. Neural Process. Lett. Javier Barbero-Gómez, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023	—	`conf`	Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. IWANN (2) Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023	J	`jnl`	Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. Appl. Soft Comput. Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
2023	J	`jnl`	Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. Inf. Sci. Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023	—	`conf`	Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. IWANN (2) Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
2023	—	`conf`	Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. IWANN (2) Marcos Rivera-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Briceño, César Hervás-Martínez, David Guijo-Rubio
2023	J	`jnl`	Soft labelling based on triangular distributions for ordinal classification. Inf. Fusion Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
2022	J	`jnl`	A novel deep ordinal classification approach for aesthetic quality control classification. Neural Comput. Appl. Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni
2022	—	`conf`	Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification. SOCO Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2022	J	`jnl`	COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. Expert Syst. Appl. 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
2022	—	`conf`	Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain. IWINAC (1) Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2022	—	`conf`	Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. SOCO Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni
2022	J	`jnl`	Unimodal regularisation based on beta distribution for deep ordinal regression. Pattern Recognit. Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2021	J	`jnl`	An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients. CoRR Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez
2021	J	`jnl`	An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients. Expert Syst. Appl. Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez
2021	—	`conf`	Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. IWANN (2) Javier Barbero-Gómez, Pedro Antonio Gutiérrez, César Hervás-Martínez
2021	—	`conf`	ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. CAEPIA Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2021	—	`conf`	Studying the Effect of Different L CAEPIA David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2021	J	`jnl`	Time-Series Clustering Based on the Characterization of Segment Typologies. IEEE Trans. Cybern. David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
2020	J	`jnl`	Cumulative link models for deep ordinal classification. Neurocomputing Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2020	J	`jnl`	Multi-task learning for the prediction of wind power ramp events with deep neural networks. Neural Networks Manuel Dorado-Moreno, Nicolò Navarin, Pedro Antonio Gutiérrez, Luis Prieto, Alessandro Sperduti, Sancho Salcedo-Sanz, César Hervás-Martínez
2020	J	`jnl`	Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm. Appl. Soft Comput. Alejandro Martín, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, David Camacho, César Hervás-Martínez
2020	J	`jnl`	Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing. Neural Process. Lett. Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Laura Cornejo-Bueno, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez
2020	—	`conf`	Ordinal Versus Nominal Time Series Classification. AALTD@PKDD/ECML David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2020	J	`jnl`	Prediction of convective clouds formation using evolutionary neural computation techniques. Neural Comput. Appl. David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Juan Carlos Fernández, Antonio M. Gómez-Orellana, Pablo Salvador-González, Sancho Salcedo-Sanz, César Hervás-Martínez
2020	B	`conf`	Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. CEC Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho
2020	B	`conf`	Time series ordinal classification via shapelets. IJCNN David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2019	J	`jnl`	A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation. Neurocomputing Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Ángel Carmona-Poyato, César Hervás-Martínez
2019	J	`jnl`	Deep ordinal classification based on cumulative link models. CoRR Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2019	J	`jnl`	Dynamical memetization in coral reef optimization algorithms for optimal time series approximation. Prog. Artif. Intell. Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2019	A*	`conf`	Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. AAAI María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez
2019	J	`jnl`	Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. CoRR María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez
2019	—	`conf`	Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. IDEAL (2) David Guijo-Rubio, Pedro J. Villalón-Vaquero, Pedro Antonio Gutiérrez, María Dolores Ayllón-Terán, Javier Briceño, César Hervás-Martínez
2019	J	`jnl`	Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks. Appl. Intell. Juan Carlos Fernández, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2019	J	`jnl`	On the use of evolutionary time series analysis for segmenting paleoclimate data. Neurocomputing María Pérez-Ortiz, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, Athanasia Nikolaou, Francisco Fernández-Navarro, César Hervás-Martínez
2018	J	`jnl`	A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series. Appl. Soft Comput. Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2018	—	`conf`	An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series. CAEPIA Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2018	—	`conf`	Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction. IDEAL (2) David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez
2018	J	`jnl`	Efficient fog prediction with multi-objective evolutionary neural networks. Appl. Soft Comput. Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz, César Hervás-Martínez
2018	—	`conf`	Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation. BIOMA Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2018	J	`jnl`	Partial order label decomposition approaches for melanoma diagnosis. Appl. Soft Comput. Javier Sánchez-Monedero, María Pérez-Ortiz, Aurora Sáez, Pedro Antonio Gutiérrez, César Hervás-Martínez
2018	J	`jnl`	Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms. Neural Comput. Appl. Juan Carlos Fernández, Manuel Cruz-Ramírez, César Hervás-Martínez
2018	J	`jnl`	Simultaneous optimisation of clustering quality and approximation error for time series segmentation. Inf. Sci. Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Francisco José Martínez-Estudillo, César Hervás-Martínez
2018	J	`jnl`	Time series clustering based on the characterisation of segment typologies. CoRR David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
2018	J	`jnl`	Time series forecasting by recurrent product unit neural networks. Neural Comput. Appl. Francisco Fernández-Navarro, Maria Angeles de la Cruz, Pedro Antonio Gutiérrez, Adiel Castaño, César Hervás-Martínez
2018	—	`conf`	Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks. IDEAL (2) Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, Luis Prieto, César Hervás-Martínez
2017	—	`conf`	A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems. IWANN (1) Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2017	—	`conf`	Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction. IWANN (1) Manuel Dorado-Moreno, Laura Cornejo-Bueno, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez
2017	J	`jnl`	Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem. Artif. Intell. Medicine Manuel Dorado-Moreno, María Pérez-Ortiz, Pedro Antonio Gutiérrez, Rubén Ciria, Javier Briceño, César Hervás-Martínez
2017	—	`conf`	Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. IWANN (2) María Pérez-Ortiz, Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso, Javier Briceño, César Hervás-Martínez
2017	J	`jnl`	Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation. Prog. Artif. Intell. Antonio Manuel Durán-Rosal, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
2017	J	`jnl`	Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm. Neural Process. Lett. Antonio Manuel Durán-Rosal, Monica-de la Paz-Marin, Pedro Antonio Gutiérrez, César Hervás-Martínez
2017	J	`jnl`	Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation. Knowl. Based Syst. M. Pérez-Ortiz, Pedro Antonio Gutiérrez, María Dolores Ayllón-Terán, N. Heaton, Rubén Ciria, Javier Briceño, César Hervás-Martínez
2016	J	`jnl`	A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment. Neural Process. Lett. M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
2016	—	`conf`	Adapting linear discriminant analysis to the paradigm of learning from label proportions. SSCI María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
2016	Misc	`conf`	Classification of Melanoma Presence and Thickness Based on Computational Image Analysis. HAIS Javier Sánchez-Monedero, Aurora Sáez, María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016	J	`jnl`	Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis. Neural Comput. Appl. Adiel Castaño, Francisco Fernández-Navarro, Annalisa Riccardi, César Hervás-Martínez
2016	Misc	`conf`	Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being. HAIS María Pérez-Ortiz, Mercedes Torres-Jiménez, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
2016	—	`conf`	Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments. SSCI Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016	—	`conf`	Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis. CAEPIA María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
2016	J	`jnl`	Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images. IEEE Trans. Medical Imaging Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016	—	`conf`	Machine learning paradigms for weed mapping via unmanned aerial vehicles. SSCI María Pérez-Ortiz, Pedro Antonio Gutiérrez, José M. Peña, Jorge Torres-Sánchez, Francisca López-Granados, César Hervás-Martínez
2016	—	`conf`	Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines. CAEPIA Manuel Dorado-Moreno, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez
2016	J	`jnl`	On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes. Neural Process. Lett. M. Pérez-Ortiz, Manuel Fernández Delgado, Eva Cernadas, R. Domínguez-Petit, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016	—	`conf`	On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm. CAEPIA Antonio Manuel Durán-Rosal, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016	Misc	`conf`	Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem. HAIS Manuel Dorado-Moreno, María Pérez-Ortiz, María Dolores Ayllón-Terán, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016	J	`jnl`	Ordinal Regression Methods: Survey and Experimental Study. IEEE Trans. Knowl. Data Eng. Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez
2016	J	`jnl`	Oversampling the Minority Class in the Feature Space. IEEE Trans. Neural Networks Learn. Syst. María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez
2016	B	`conf`	Representing ordinal input variables in the context of ordinal classification. IJCNN Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez
2016	J	`jnl`	Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery. Expert Syst. Appl. María Pérez-Ortiz, José Manuel Peñá-Barragán, Pedro Antonio Gutiérrez, Jorge Torres-Sánchez, César Hervás-Martínez, Francisca López-Granados
2016	J	`jnl`	Semi-supervised learning for ordinal Kernel Discriminant Analysis. Neural Networks M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
2016	B	`conf`	Tackling the ordinal and imbalance nature of a melanoma image classification problem. IJCNN María Pérez-Ortiz, Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016	Misc	`conf`	Time Series Representation by a Novel Hybrid Segmentation Algorithm. HAIS Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez Peña, Francisco José Martínez-Estudillo, César Hervás-Martínez
2015	J	`jnl`	A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method. Appl. Soft Comput. M. Pérez-Ortiz, José Manuel Peñá-Barragán, Pedro Antonio Gutiérrez, Jorge Torres-Sánchez, César Hervás-Martínez, Francisca López-Granados
2015	—	`conf`	An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis. IWANN (1) María Pérez-Ortiz, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Jorge Torres-Sánchez, César Hervás-Martínez, Francisca López-Granados
2015	—	`conf`	Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series. IWANN (2) Antonio Manuel Durán-Rosal, Monica-de la Paz-Marin, Pedro Antonio Gutiérrez, César Hervás-Martínez
2015	J	`jnl`	Classification of countries' progress toward a knowledge economy based on machine learning classification techniques. Expert Syst. Appl. Monica-de la Paz-Marin, Pedro Antonio Gutiérrez, César Hervás-Martínez
2015	—	`conf`	Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model. IWANN (2) Pedro Antonio Gutiérrez, Juan Carlos Fernández, María Pérez-Ortiz, Laura Cornejo-Bueno, Enrique Alexandre-Cortizo, Sancho Salcedo-Sanz, César Hervás-Martínez
2015	—	`conf`	Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency. CAEPIA Carlos R. García-Alonso, César Hervás-Martínez, Salud Millán-Lara, Mercedes Torres-Jiménez
2015	J	`jnl`	Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression. IEEE Trans. Knowl. Data Eng. María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao
2015	J	`jnl`	Kernelising the Proportional Odds Model through kernel learning techniques. Neurocomputing María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez
2015	J	`jnl`	Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency. Prog. Artif. Intell. Mercedes Torres-Jiménez, Carlos R. García-Alonso, Javier Sánchez-Monedero, Salud Millán-Lara, César Hervás-Martínez
2015	—	`conf`	Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models. IWANN (2) Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
2015	—	`conf`	Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models. CAEPIA Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
2015	J	`jnl`	Significant wave height and energy flux range forecast with machine learning classifiers. Eng. Appl. Artif. Intell. Juan Carlos Fernández, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Enrique Alexandre, César Hervás-Martínez
2014	J	`jnl`	A guided data projection technique for classification of sovereign ratings: The case of European Union 27. Appl. Soft Comput. Javier Sánchez-Monedero, Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014	J	`jnl`	Addressing remitting behavior using an ordinal classification approach. Expert Syst. Appl. Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014	J	`jnl`	An evolutionary neural system for incorporating expert knowledge into the UA-FLP. Neurocomputing Laura García-Hernández, M. Pérez-Ortiz, Antonio Arauzo-Azofra, Lorenzo Salas-Morera, César Hervás-Martínez
2014	J	`jnl`	An organ allocation system for liver transplantation based on ordinal regression. Appl. Soft Comput. M. Pérez-Ortiz, Manuel Cruz-Ramírez, María Dolores Ayllón-Terán, N. Heaton, Rubén Ciria, César Hervás-Martínez
2014	J	`jnl`	Classification of EU countries' progress towards sustainable development based on ordinal regression techniques. Knowl. Based Syst. M. Pérez-Ortiz, Monica-de la Paz-Marin, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014	—	`conf`	Incorporating Privileged Information to Improve Manifold Ordinal Regression. IJCCI (NCTA) María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014	—	`conf`	Learning Kernel Label Decompositions for Ordinal Classification Problems. IJCCI (NCTA) María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014	Misc	`conf`	Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates. HAIS M. Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014	J	`jnl`	Metrics to guide a multi-objective evolutionary algorithm for ordinal classification. Neurocomputing Manuel Cruz-Ramírez, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez
2014	J	`jnl`	Object-Based Image Classification of Summer Crops with Machine Learning Methods. Remote. Sens. José M. Peña, Pedro Antonio Gutiérrez, César Hervás-Martínez, Johan Six, Richard E. Plant, Francisca López-Granados
2014	J	`jnl`	Ordinal regression neural networks based on concentric hyperspheres. Neural Networks Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez
2014	J	`jnl`	Projection-Based Ensemble Learning for Ordinal Regression. IEEE Trans. Cybern. María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014	J	`jnl`	Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier. Eng. Appl. Artif. Intell. Javier Sánchez-Monedero, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, César Hervás-Martínez
2014	Misc	`conf`	Time Series Segmentation and Statistical Characterisation of the Spanish Stock Market Ibex-35 Index. HAIS Manuel Cruz-Ramírez, Monica-de la Paz-Marin, M. Pérez-Ortiz, César Hervás-Martínez
2014	Misc	`conf`	Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. HAIS M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernández-Navarro
2013	—	`conf`	Addressing Remitting Behavior Using an Ordinal Classification Approach. IWINAC (2) Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2013	J	`jnl`	Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach. IEEE Trans. Cybern. Francisco Fernández-Navarro, Pilar Campoy-Muñoz, Monica-de la Paz-Marin, César Hervás-Martínez, Xin Yao
2013	—	`conf`	An n-Spheres Based Synthetic Data Generator for Supervised Classification. IWANN (1) Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz, César Hervás-Martínez
2013	Misc	`conf`	Borderline Kernel Based Over-Sampling. HAIS María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2013	—	`conf`	Can Machine Learning Techniques Help to Improve the Common Fisheries Policy? IWANN (2) María Pérez-Ortiz, Rosa Colmenarejo, Juan Carlos Fernández Caballero, César Hervás-Martínez
2013	J	`jnl`	Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles. Neurocomputing María Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez
2013	Misc	`conf`	Evolutionary Ordinal Extreme Learning Machine. HAIS Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez
2013	J	`jnl`	Exploitation of Pairwise Class Distances for Ordinal Classification. Neural Comput. Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez
2013	J	`jnl`	Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. Neurocomputing Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz
2013	J	`jnl`	Generalised Gaussian radial basis function neural networks. Soft Comput. Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez
2013	J	`jnl`	Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks. Expert Syst. Appl. M. Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez
2013	—	`conf`	Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping. IWANN (1) María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez
2013	J	`jnl`	Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem. Soft Comput. Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Briceño, Manuel de la Mata
2013	B	`conf`	Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. ESANN María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
2013	J	`jnl`	Negative Correlation Ensemble Learning for Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao
2013	J	`jnl`	Ordinal and nominal classification of wind speed from synoptic pressurepatterns. Eng. Appl. Artif. Intell. Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto
2013	J	`jnl`	PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis. Neural Process. Lett. Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez
2013	J	`jnl`	PpcProject: An educational tool for software project management. Comput. Educ. Lorenzo Salas-Morera, Antonio Arauzo-Azofra, Laura García-Hernández, Juan M. Palomo-Romero, César Hervás-Martínez
2013	J	`jnl`	Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks. Artif. Intell. Medicine Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Briceño, Manuel de la Mata
2013	B	`conf`	Synthetic over-sampling in the empirical feature space. ESANN María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2012	J	`jnl`	A Structural Distance-Based Crossover for Neural Network Classifiers. Int. J. Pattern Recognit. Artif. Intell. Manuel Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
2012	—	`conf`	A System Learning User Preferences for Multiobjective Optimization of Facility Layouts. SOCO M. Pérez-Ortiz, Antonio Arauzo-Azofra, César Hervás-Martínez, Laura García-Hernández, Lorenzo Salas-Morera
2012	J	`jnl`	A multi-objective neural network based method for cover crop identification from remote sensed data. Expert Syst. Appl. Manuel Cruz-Ramírez, César Hervás-Martínez, Montserrat Jurado-Expósito, Francisca López-Granados
2012	J	`jnl`	A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems. Inf. Sci. Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz
2012	—	`conf`	An Experimental Study of Different Ordinal Regression Methods and Measures. HAIS (2) Pedro Antonio Gutiérrez, M. Pérez-Ortiz, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez
2012	—	`conf`	An Ordinal Regression Approach for the Unequal Area Facility Layout Problem. SOCO M. Pérez-Ortiz, Laura García-Hernández, Lorenzo Salas-Morera, Antonio Arauzo-Azofra, César Hervás-Martínez
2012	B	`conf`	An ensemble approach for ordinal threshold models applied to liver transplantation. IJCNN M. Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Briceño, Manuel de la Mata
2012	—	`conf`	Approaching System Administration as a Group Project in Computer Engineering Higher Education. CISIS/ICEUTE/SOCO Special Sessions Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro
2012	J	`jnl`	Distribution of the search of evolutionary product unit neural networks for classification CoRR Antonio J. Tallón-Ballesteros, Pedro Antonio Gutiérrez Peña, César Hervás-Martínez
2012	J	`jnl`	Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. Appl. Soft Comput. Francisco Fernández-Navarro, César Hervás-Martínez, Roberto Ruiz, José C. Riquelme
2012	J	`jnl`	Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms. Neural Comput. Appl. César Hervás-Martínez, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Emilio G. Ortíz-García, Luis Prieto
2012	—	`conf`	Hybrid Multi-objective Machine Learning Classification in Liver Transplantation. HAIS (1) M. Pérez-Ortiz, Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, César Hervás-Martínez
2012	J	`jnl`	Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants. Eur. J. Oper. Res. Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Briceño, Manuel de la Mata
2012	—	`conf`	Multiobjective Pareto Ordinal Classification for Predictive Microbiology. SOCO Manuel Cruz-Ramírez, Juan Carlos Fernández, Antonio Valero, Pedro Antonio Gutiérrez, César Hervás-Martínez
2012	—	`conf`	Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. HAIS (2) Francisco Fernández-Navarro, Huanhuan Chen, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao
2012	—	`conf`	Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions. HAIS (2) Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
2012	J	`jnl`	Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification. Neurocomputing Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Francisca López-Granados
2012	J	`jnl`	Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods. Expert Syst. Appl. Adiel Castaño, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez
2011	J	`jnl`	A dynamic over-sampling procedure based on sensitivity for multi-class problems. Pattern Recognit. Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez
2011	C	`conf`	A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm. ISDA Manuel Cruz-Ramírez, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez
2011	J	`jnl`	A two-stage algorithm in evolutionary product unit neural networks for classification. Expert Syst. Appl. Antonio J. Tallón-Ballesteros, César Hervás-Martínez
2011	J	`jnl`	CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features CoRR Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer
2011	—	`conf`	Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification. SOCO Adiel Castaño Méndez, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Manuel Baena-García, César Hervás-Martínez
2011	J	`jnl`	Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity. Expert Syst. Appl. Francisco Fernández-Navarro, César Hervás-Martínez, Carlos R. García-Alonso, Mercedes Torres-Jiménez
2011	C	`conf`	Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns. ISDA Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto
2011	J	`jnl`	Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus. Appl. Soft Comput. Francisco Fernández-Navarro, César Hervás-Martínez, Manuel Cruz-Ramírez, Pedro Antonio Gutiérrez, Antonio Valero
2011	J	`jnl`	Evolutionary q-Gaussian radial basis function neural networks for multiclassification. Neural Networks Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz
2011	—	`conf`	Hybrid Artificial Neural Networks: Models, Algorithms and Data. IWANN (2) Pedro Antonio Gutiérrez, César Hervás-Martínez
2011	—	`conf`	Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. IWINAC (2) Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz
2011	J	`jnl`	Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. IEEE Trans. Neural Networks Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo
2011	J	`jnl`	MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. Neurocomputing Francisco Fernández-Navarro, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez
2011	—	`conf`	Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation. IWANN (2) Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, Javier Briceño, Manuel de la Mata
2011	—	`conf`	Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients. GECCO (Companion) Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, Francisco Fernández-Navarro, Javier Briceño, Manuel de la Mata, César Hervás-Martínez
2011	J	`jnl`	Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem. Neural Process. Lett. Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez
2011	C	`conf`	Numerical variable reconstruction from ordinal categories based on probability distributions. ISDA Javier Sánchez-Monedero, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás-Martínez
2011	C	`conf`	Ordinal classification of depression spatial hot-spots of prevalence. ISDA M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Carlos R. García-Alonso, Luis Salvador-Carulla, Jose Alberto Salinas-Perez, César Hervás-Martínez
2011	—	`conf`	Permanent disability classification using hybrid neuro-logistic regression models. HIMA Pedro Antonio Gutiérrez, Manuel Baena-García, Rafael Morales Bueno, César Hervás-Martínez
2011	—	`conf`	Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front. SDE Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez
2011	—	`conf`	Sound Source Identification in Vehicles Using a Combined Linear-Evolutionary Product Unit Neural Network Model. SOCO M. Dolores Redel-Macías, Pedro Antonio Gutiérrez, Antonio J. Cubero-Atienza, César Hervás-Martínez
2011	J	`jnl`	Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. Neural Process. Lett. Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, César Hervás-Martínez
2010	J	`jnl`	A logistic radial basis function regression method for discrimination of cover crops in olive orchards. Expert Syst. Appl. César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Montserrat Jurado-Expósito, Francisca López-Granados
2010	J	`jnl`	Classification by evolutionary generalised radial basis functions. Int. J. Hybrid Intell. Syst. Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, María Matilda García, Pedro Antonio Gutiérrez
2010	C	`conf`	Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. ISDA Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, M. Teresa Lamata
2010	—	`conf`	Evolutionary HAIS (2) Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Mariano Carbonero-Ruz
2010	—	`conf`	Evolutionary ICANN (1) Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme
2010	—	`conf`	Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. HAIS (2) Javier Sánchez-Monedero, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz, M. C. Ramírez Moreno, Manuel Cruz-Ramírez
2010	—	`conf`	Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises. IEA/AIE (3) Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, María Jesús Segovia-Vargas, A. Sanchis, José Antonio Portilla-Figueras, Francisco Fernández-Navarro, César Hervás-Martínez
2010	—	`conf`	Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology. IEA/AIE (3) Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez
2010	J	`jnl`	Income prediction in the agrarian sector using product unit neural networks. Eur. J. Oper. Res. Carlos R. García-Alonso, Mercedes Torres-Jiménez, César Hervás-Martínez
2010	B	`conf`	Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions. IJCNN Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Sánchez-Monedero
2010	J	`jnl`	Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. Evol. Intell. Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez
2010	C	`conf`	On the suitability of Extreme Learning Machine for gene classification using feature selection. ISDA Javier Sánchez-Monedero, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez
2009	—	`conf`	A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. IWINAC (1) Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández
2009	C	`conf`	A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. ISDA Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez
2009	C	`conf`	Classification by Evolutionary Generalized Radial Basis Functions. ISDA Adiel Castaño, César Hervás-Martínez, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, María Matilda García
2009	C	`conf`	Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient. ISDA Juan Carlos Fernández, César Hervás-Martínez, Francisco José Martínez, Manuel Cruz
2009	Misc	`conf`	Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture. HAIS Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, Francisca López-Granados
2009	C	`conf`	Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction. ISDA César Hervás-Martínez, Pedro Antonio Gutiérrez, Juan Carlos Fernández, Sancho Salcedo-Sanz, Antonio Portilla-Figueras, Ángel M. Pérez-Bellido, Luis Prieto
2009	J	`jnl`	Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households. Eur. J. Oper. Res. Carlos R. García-Alonso, Jorge Guardiola, César Hervás-Martínez
2009	B	`conf`	MultiLogistic Regression using Initial and Radial Basis Function covariates. IJCNN Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández
2008	—	`ch.`	Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks. Innovations in Hybrid Intelligent Systems Pedro Antonio Gutiérrez, César Hervás-Martínez, Mariano Carbonero-Ruz, Juan Carlos Fernández
2008	J	`jnl`	Evolutionary product-unit neural networks classifiers. Neurocomputing Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso C. Martínez-Estudillo
2008	J	`jnl`	Multilogistic regression by means of evolutionary product-unit neural networks. Neural Networks César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz
2008	J	`jnl`	Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. Soft Comput. Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
2007	Misc	`conf`	Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification. IWANN Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Pedro Antonio Gutiérrez Peña
2007	J	`jnl`	Improving crossover operator for real-coded genetic algorithms using virtual parents. J. Heuristics Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
2007	J	`jnl`	Logistic regression using covariates obtained by product-unit neural network models. Pattern Recognit. César Hervás-Martínez, Francisco J. Martínez-Estudillo
2006	—	`conf`	An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. AH Cristóbal Romero, Sebastián Ventura, César Hervás-Martínez, Paul De Bra
2006	J	`jnl`	An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. Neural Networks Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
2006	B	`conf`	Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez
2006	C	`conf`	Evolutionary Product-Unit Neural Networks for Classification. IDEAL Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura
2006	J	`jnl`	Evolutionary product unit based neural networks for regression. Neural Networks Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas
2006	J	`jnl`	Hybridization of evolutionary algorithms and local search by means of a clustering method. IEEE Trans. Syst. Man Cybern. Part B Alfonso C. Martínez-Estudillo, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Nicolás García-Pedrajas
2006	J	`jnl`	Web-based adaptive training simulator system for cardiac life support. Artif. Intell. Medicine Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales
2005	J	`jnl`	Analyzing the statistical features of CIXL2 crossover offspring. Soft Comput. César Hervás-Martínez, Domingo Ortiz-Boyer
2005	J	`jnl`	Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms. Comput. Oper. Res. Mercedes Torres, César Hervás-Martínez, Francisco Amador
2005	J	`jnl`	CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. J. Artif. Intell. Res. Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
2005	Misc	`conf`	Cascade Ensembles. IWANN Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez
2005	J	`jnl`	Cooperative coevolution of artificial neural network ensembles for pattern classification. IEEE Trans. Evol. Comput. Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer
2005	B	`conf`	Crossover effect over penalty methods in function optimization with constraints. Congress on Evolutionary Computation Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez
2005	J	`jnl`	Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm. J. Chem. Inf. Model. César Hervás-Martínez, Alfonso Carlos Martínez-Estudillo, Manuel Silva, Juan Manuel Serrano
2005	Misc	`conf`	Memetic Algorithms to Product-Unit Neural Networks for Regression. IWANN Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Domingo Ortiz-Boyer
2004	J	`jnl`	Cooperative coevolution of generalized multi-layer perceptrons. Neurocomputing Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
2004	J	`jnl`	Heuristic Extraction of Rules in Pruned Artificial Neural Networks Models Used for Quantifying Highly Overlapping Chromatographic Peaks. J. Chem. Inf. Model. César Hervás-Martínez, Manuel Silva, Juan Manuel Serrano, Eva Orejuela
2003	—	`conf`	Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms. CAEPIA Rafael del Castillo Gomariz, César Hervás-Martínez, Sebastián Ventura, Domingo Ortiz-Boyer
2003	J	`jnl`	COVNET: a cooperative coevolutionary model for evolving artificial neural networks. IEEE Trans. Neural Networks Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez
2003	—	`conf`	Node Level Crossover Applied to Neural Network Evolution. IWANN (1) Eloy Sanz-Tapia, Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
2002	A	`conf`	Crossover Operator Effect in Function Optimization with Constraints. PPSN Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
2002	J	`jnl`	Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Networks Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez
2002	A	`conf`	Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. PPSN César Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
2001	B	`conf`	A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures. ESANN César Hervás-Martínez, José Antonio Martinez Heras, Sebastián Ventura, Manuel Silva
2001	B	`conf`	Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods. ESANN Domingo Ortiz-Boyer, César Hervás-Martínez, José Muñoz-Pérez
2001	—	`conf`	Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. IWANN (1) Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez
1992	C	`conf`	Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition. IPMU César Hervás-Martínez, E. J. Romero Soto, Nicolás García-Pedrajas, Rafael Medina Carnicer