Multi-task learning for the prediction of wind power ramp events with deep neural networks M Dorado-Moreno, N Navarin, PA Gutiérrez, L Prieto, A Sperduti, ... Neural Networks 123, 401-411, 2020 | 68 | 2020 |
Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem M Dorado-Moreno, M Pérez-Ortiz, PA Gutiérrez, R Ciria, J Briceño, ... Artificial Intelligence in Medicine 77, 1-11, 2017 | 54 | 2017 |
Robust estimation of wind power ramp events with reservoir computing M Dorado-Moreno, L Cornejo-Bueno, PA Gutiérrez, L Prieto, ... Renewable Energy 111, 428-437, 2017 | 30 | 2017 |
Ordinal classification using hybrid artificial neural networks with projection and kernel basis functions M Dorado-Moreno, PA Gutiérrez, C Hervás-Martínez Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS …, 2012 | 21 | 2012 |
Building suitable datasets for soft computing and machine learning techniques from meteorological data integration: A case study for predicting significant wave height and … AM Gómez-Orellana, JC Fernández, M Dorado-Moreno, PA Gutiérrez, ... Energies 14 (2), 468, 2021 | 17 | 2021 |
Rating the rich: an ordinal classification to determine which rich countries are helping poorer ones the most A Sianes, M Dorado-Moreno, C Hervás-Martínez Social Indicators Research 116, 47-65, 2014 | 15 | 2014 |
Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis E Rodero, A González, M Dorado-Moreno, M Luque, C Hervás Livestock Science 180, 14-21, 2015 | 12 | 2015 |
Multiclass prediction of wind power ramp events combining reservoir computing and support vector machines M Dorado-Moreno, AM Durán-Rosal, D Guijo-Rubio, PA Gutiérrez, ... Advances in Artificial Intelligence: 17th Conference of the Spanish …, 2016 | 10 | 2016 |
Combining reservoir computing and over-sampling for ordinal wind power ramp prediction M Dorado-Moreno, L Cornejo-Bueno, PA Gutiérrez, L Prieto, ... Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 9 | 2017 |
Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing M Dorado-Moreno, PA Gutiérrez, L Cornejo-Bueno, L Prieto, ... Neural Processing Letters 52, 57-74, 2020 | 7 | 2020 |
Ordinal evolutionary artificial neural networks for solving an imbalanced liver transplantation problem M Dorado-Moreno, M Pérez-Ortiz, MD Ayllón-Terán, PA Gutiérrez, ... Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016 | 6 | 2016 |
From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier applied to measure the extent of globalisation M Dorado-Moreno, A Sianes, C Hervás-Martínez Quality & Quantity 50, 549-576, 2016 | 2 | 2016 |
Prediccion ordinal de rampas de viento usando Echo State Networks de complejidad reducida M Dorado-Moreno, PA Gutiérrez, S Salcedo-Sanz, L Prieto, ... Conferencia de la Asociacion Espanola para la Inteligencia Arfificial, 7, 2018 | 1 | 2018 |
Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks M Dorado-Moreno, PA Gutiérrez, S Salcedo-Sanz, L Prieto, ... Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 1 | 2018 |
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation AM Durán-Rosal, M Dorado-Moreno, PA Gutiérrez, C Hervás-Martínez Progress in Artificial Intelligence 6, 59-66, 2017 | 1 | 2017 |
On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm AM Durán-Rosal, M Dorado-Moreno, PA Gutiérrez, C Hervás-Martínez Advances in Artificial Intelligence: 17th Conference of the Spanish …, 2016 | 1 | 2016 |
Ordinal Prediction using machine learning methodologies: Applications M Dorado Moreno Universidad de Córdoba, UCOPress, 2019 | | 2019 |
Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models M Dorado-Moreno, PA Gutiérrez, J Sánchez-Monedero, ... Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | | 2015 |
Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models M Dorado-Moreno, PA Gutiérrez, J Sánchez-Monedero, ... Advances in Artificial Intelligence: 16th Conference of the Spanish …, 2015 | | 2015 |