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Disambiguation of "Dorado-Moreno, Manuel"

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Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction.

, , , , , and . IWANN (1), volume 10305 of Lecture Notes in Computer Science, page 708-719. Springer, (2017)

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Juan-Manuel Torres-Moreno

Eduardo Moreno

Carlos Moreno

Alexander Moreno

Moreno Andreatta

 

Other publications of authors with the same name

Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions., , and . HAIS (2), volume 7209 of Lecture Notes in Computer Science, page 319-330. Springer, (2012)Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing., , , , , and . Neural Process. Lett., 52 (1): 57-74 (2020)Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem., , , , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 451-462. Springer, (2016)On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm., , , and . CAEPIA, volume 9868 of Lecture Notes in Computer Science, page 418-427. Springer, (2016)Multi-task learning for the prediction of wind power ramp events with deep neural networks., , , , , , and . Neural Networks, (2020)Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models., , , and . IWANN (2), volume 9095 of Lecture Notes in Computer Science, page 80-91. Springer, (2015)Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks., , , , and . IDEAL (2), volume 11315 of Lecture Notes in Computer Science, page 180-187. Springer, (2018)Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models., , , and . CAEPIA, volume 9422 of Lecture Notes in Computer Science, page 301-311. Springer, (2015)Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation., , , and . Progress in AI, 6 (1): 59-66 (2017)Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines., , , , , , and . CAEPIA, volume 9868 of Lecture Notes in Computer Science, page 300-309. Springer, (2016)