Multi-task learning for the prediction of wind power ramp events with deep neural networks von Dorado-Moreno, M., Navarin, N., Gutiérrez, P.A., Prieto, L., Sperduti, A., Salcedo-Sanz, S., Hervás-Martínez, C.

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Evolutionary artificial neural networks for accurate solar radiation prediction von Guijo-Rubio, D., Durán-Rosal, A.M., Gutiérrez, P.A., Gómez-Orellana, A.M., Casanova-Mateo, C., Sanz-Justo, J., Salcedo-Sanz, S., Hervás-Martínez, C.

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Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing von Dorado-Moreno, M., Gutiérrez, P. A., Cornejo-Bueno, L., Prieto, L., Salcedo-Sanz, S., Hervás-Martínez, C.

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Time series forecasting by recurrent product unit neural networks von Fernández-Navarro, F., de la Cruz, Maria Angeles, Gutiérrez, P. A., Castaño, A., Hervás-Martínez, C.

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Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters von Redel-Macías, M.D., Hervás-Martínez, C., Gutiérrez, P.A., Pinzi, S., Cubero-Atienza, A.J., Dorado, M.P.

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A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method von Pérez-Ortiz, M., Peña, J.M., Gutiérrez, P.A., Torres-Sánchez, J., Hervás-Martínez, C., López-Granados, F.

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New models for donor-recipient matching in lung transplantations von Dueñas-Jurado, J. M, Gutiérrez, P. A, Casado-Adam, A, Santos-Luna, F, Salvatierra-Velázquez, A, Cárcel, S, Robles-Arista, C. J. C, Hervás-Martínez, C

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On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes von Pérez-Ortiz, M., Fernández-Delgado, M., Cernadas, E., Domínguez-Petit, R., Gutiérrez, P. A., Hervás-Martínez, C.

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Robust estimation of wind power ramp events with reservoir computing von Dorado-Moreno, M., Cornejo-Bueno, L., Gutiérrez, P.A., Prieto, L., Hervás-Martínez, C., Salcedo-Sanz, S.

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Metrics to guide a multi-objective evolutionary algorithm for ordinal classification von Cruz-Ramírez, M., Hervás-Martínez, C., Sánchez-Monedero, J., Gutiérrez, P.A.

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Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem von Cruz-Ramírez, M., Hervás-Martínez, C., Gutiérrez, P. A., Pérez-Ortiz, M., Briceño, J., de la Mata, M.

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On the use of evolutionary time series analysis for segmenting paleoclimate data von Pérez-Ortiz, M., Durán-Rosal, A.M., Gutiérrez, P.A., Sánchez-Monedero, J., Nikolaou, A., Fernández-Navarro, F., Hervás-Martínez, C.

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Evolutionary q-Gaussian radial basis function neural networks for multiclassification von Fernández-Navarro, Francisco, Hervás-Martínez, César, Gutiérrez, P.A., Carbonero-Ruz, M.

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Semi-supervised learning for ordinal Kernel Discriminant Analysis von Pérez-Ortiz, M., Gutiérrez, P.A., Carbonero-Ruz, M., Hervás-Martínez, C.

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Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques von Castillo-Botón, C., Casillas-Pérez, D., Casanova-Mateo, C., Moreno-Saavedra, L. M., Morales-Díaz, B., Sanz-Justo, J., Gutiérrez, P. A., Salcedo-Sanz, S.

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Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal–ordinal support vector classifier von Sánchez-Monedero, J., Salcedo-Sanz, S., Gutiérrez, P.A., Casanova-Mateo, C., Hervás-Martínez, C.

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Detection and prediction of segments containing extreme significant wave heights von Durán-Rosal, A.M., Fernández, J.C., Gutiérrez, P.A., Hervás-Martínez, C.

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Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation von Pérez-Ortiz, M., Gutiérrez, P.A., Ayllón-Terán, M.D., Heaton, N., Ciria, R., Briceño, J., Hervás-Martínez, C.

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Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises von Gutiérrez, P.A., Segovia-Vargas, M.J., Salcedo-Sanz, S., Hervás-Martínez, C., Sanchis, A., Portilla-Figueras, J.A., Fernández-Navarro, F.

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Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks von Gómez-Orellana, A.M., Guijo-Rubio, D., Gutiérrez, P.A., Hervás-Martínez, C.

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