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Manuel Dorado-Moreno
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2020 – today
- 2020
- [j4]Manuel Dorado-Moreno, Nicolò Navarin
, Pedro Antonio Gutiérrez, Luis Prieto
Multi-task learning for the prediction of wind power ramp events with deep neural networks. Neural Networks 123: 401-411 (2020) - [j3]Manuel Dorado-Moreno
Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing. Neural Process. Lett. 52(1): 57-74 (2020)
2010 – 2019
- 2018
- [c8]Manuel Dorado-Moreno, Pedro Antonio Gutiérrez
Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks. IDEAL (2) 2018: 180-187 - 2017
- [j2]Manuel Dorado-Moreno
Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem. Artif. Intell. Medicine 77: 1-11 (2017) - [j1]Antonio Manuel Durán-Rosal
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation. Prog. Artif. Intell. 6(1): 59-66 (2017) - [c7]Manuel Dorado-Moreno, Laura Cornejo-Bueno
Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction. IWANN (1) 2017: 708-719 - 2016
- [c6]Manuel Dorado-Moreno, Antonio Manuel Durán-Rosal
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines. CAEPIA 2016: 300-309 - [c5]Antonio Manuel Durán-Rosal
On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm. CAEPIA 2016: 418-427 - [c4]Manuel Dorado-Moreno, María Pérez-Ortiz
Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem. HAIS 2016: 451-462 - 2015
- [c3]Manuel Dorado-Moreno
Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models. CAEPIA 2015: 301-311 - [c2]Manuel Dorado-Moreno
Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models. IWANN (2) 2015: 80-91 - 2012
- [c1]Manuel Dorado-Moreno
Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions. HAIS (2) 2012: 319-330
Coauthor Index
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