Manuel Dorado-Moreno
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Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem
M Dorado-Moreno, M Pérez-Ortiz, PA Gutiérrez, R Ciria, J Briceno, ...
Artificial intelligence in medicine 77, 1-11, 2017
222017
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
212017
Ordinal classification using hybrid artificial neural networks with projection and kernel basis functions
M Dorado-Moreno, PA Gutiérrez, C Hervás-Martínez
International Conference on Hybrid Artificial Intelligence Systems, 319-330, 2012
182012
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
172020
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 (1), 47-65, 2014
122014
Combining reservoir computing and over-sampling for ordinal wind power ramp prediction
M Dorado-Moreno, L Cornejo-Bueno, PA Gutiérrez, L Prieto, ...
International Work-Conference on Artificial Neural Networks, 708-719, 2017
72017
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, ...
Conference of the Spanish Association for Artificial Intelligence, 300-309, 2016
72016
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
52015
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
22021
Ordinal evolutionary artificial neural networks for solving an imbalanced liver transplantation problem
M Dorado-Moreno, M Pérez-Ortiz, MD Ayllón-Terán, PA Gutiérrez, ...
International Conference on Hybrid Artificial Intelligence Systems, 451-462, 2016
22016
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 (2), 549-576, 2016
22016
Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks
M Dorado-Moreno, PA Gutiérrez, S Salcedo-Sanz, L Prieto, ...
International Conference on Intelligent Data Engineering and Automated …, 2018
12018
Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing
M Dorado-Moreno, PA Gutierrez, L Cornejo-Bueno, L Prieto, ...
Neural Processing Letters, 1-18, 2018
12018
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 (1), 59-66, 2017
12017
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
Conference of the Spanish Association for Artificial Intelligence, 418-427, 2016
12016
Ordinal Prediction using machine learning methodologies: Applications
M Dorado Moreno
Universidad de Córdoba, UCOPress, 2019
2019
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, ...
Conference of the Spanish Association for Artificial Intelligence, 301-311, 2015
2015
Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models
M Dorado-Moreno, PA Gutiérrez, J Sánchez-Monedero, ...
International Work-Conference on Artificial Neural Networks, 80-91, 2015
2015
Prediccion ordinal de rampas de viento usando Echo State Networks de complejidad reducida
M Dorado-Moreno, PA Gutiérrez, S Salcedo-Sanz, L Prieto, ...
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Artículos 1–19