Pedro Antonio Gutiérrez

206 papers B 13C 12Misc 9Journal 109Unranked 61

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
2026	J	`jnl`	TOC-UCO: a comprehensive repository of tabular ordinal classification datasets. Neurocomputing Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Francisco Bérchez-Moreno, Víctor Manuel Vargas, 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`	TOC-UCO: a comprehensive repository of tabular ordinal classification datasets. CoRR Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Francisco Bérchez-Moreno, Víctor Manuel Vargas Yun, Pedro Antonio Gutiérrez
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 general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic. Knowl. Based Syst. César Peláez-Rodríguez, Jorge Pérez-Aracil, Cosmin Madalin Marina, Luis Prieto-Godino, Carlos Casanova-Mateo, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz
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`	Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction. CAEPIA Cosmin Madalin Marina, Eugenio Lorente-Ramos, Rafael Ayllón-Gavilán, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
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`	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`	Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. CISIS-ICEUTE Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández
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	B	`conf`	Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library. FUZZ-IEEE Francisco J. Rodríguez-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, José Manuel Soto-Hidalgo, Juan Carlos Gámez-Granados
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	—	`conf`	A Hybrid Approach to Time Series Classification with Shapelets. IDEAL (1) David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall
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`	A mixture of experts model for predicting persistent weather patterns. CoRR María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2019	—	`conf`	Deep Ordinal Classification Based on the Proportional Odds Model. IWINAC (2) Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás
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	J	`jnl`	Editorial: Booming of Neural Networks and Learning Systems. IEEE Trans. Neural Networks Learn. Syst. Akira Hirose, Alessio Micheli, Artur S. d'Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi, Jianbing Shen, José de Jesús Rubio, Lei Zhang, Lingjia Liu, Lorenzo Livi, Nian Zhang, Nishchal K. Verma, Pedro Antonio Gutiérrez, Qi Tian, Qinglai Wei, Seiichi Ozawa, Stuart H. Rubin, Wei-Neng Chen, Xi Li, Xiaofeng Liao, Youmin Zhang, Zhen Ni, Haibo He
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`	Monotonic classification: An overview on algorithms, performance measures and data sets. Neurocomputing José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
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`	OCAPIS: R package for Ordinal Classification and Preprocessing in Scala. Prog. Artif. Intell. M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera
2019	J	`jnl`	ORCA: A Matlab/Octave Toolbox for Ordinal Regression. J. Mach. Learn. Res. Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz
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	B	`conf`	A mixture of experts model for predicting persistent weather patterns. IJCNN M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
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	—	`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`	Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
2018	J	`jnl`	OCAPIS: R package for Ordinal Classification And Preprocessing In Scala. CoRR M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera
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`	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`	An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning. IWANN (2) Francisco Javier Maestre-García, Carlos García-Martínez, María Pérez-Ortiz, Pedro Antonio Gutiérrez
2017	—	`conf`	Class Switching Ensembles for Ordinal Regression. IWANN (1) Pedro Antonio Gutiérrez, María Pérez-Ortiz, Alberto Suárez
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`	Estimating Rodent Brain Volume by a Deformable Contour Model. MIUA Julio Camacho-Cañamón, María J. Carreira, Pedro Antonio Gutiérrez, Ramón Iglesias-Rey
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`	Current prospects on ordinal and monotonic classification. Prog. Artif. Intell. Pedro Antonio Gutiérrez, Salvador García
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
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	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	—	`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
2015	J	`jnl`	The Benefits of Modeling Slack Variables in SVMs. Neural Comput. Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen
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`	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	J	`jnl`	Special issue: Advances in learning schemes for function approximation. Neurocomputing Emilio Corchado, Ajith Abraham, Pedro Antonio Gutiérrez, José Manuel Benítez, Sebastián Ventura
2014	B	`conf`	Support Vector Ordinal Regression using Privileged Information. ESANN Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen
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	—	`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	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`	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	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	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	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`	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`	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	—	`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	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	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	J	`jnl`	Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. Appl. Soft Comput. Juan Carlos Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez
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`	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	J	`jnl`	Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm. Soft Comput. Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
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`	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	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
2010	J	`jnl`	Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. IEEE Trans. Neural Networks Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez
2009	—	`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	J	`jnl`	Combined projection and kernel basis functions for classification in evolutionary neural networks. Neurocomputing Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández
2009	Misc	`conf`	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	Misc	`conf`	Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity. HAIS Juan Carlos Fernández, César Hervás, Francisco José Martínez, Pedro Antonio Gutiérrez, Manuel Cruz
2009	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
2009	—	`ch.`	Multilogistic Regression by Product Units. Encyclopedia of Artificial Intelligence Pedro Antonio Gutiérrez, César Hervás, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz
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	B	`conf`	Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. IEEE Congress on Evolutionary Computation Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández
2008	J	`jnl`	Evolutionary product-unit neural networks classifiers. Neurocomputing Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso C. Martínez-Estudillo
2008	C	`conf`	Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data. HIS Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás, Francisca López-Granados, Montserrat Jurado-Expósito, José Manuel Peñá-Barragán
2008	C	`conf`	Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes. HIS Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás, Francisco José Martínez
2007	C	`conf`	Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. IDEAL Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
2006	B	`conf`	Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez