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manuel-dorado-moreno
Dorado-Moreno, Manuel
Personal Information
Position:
Doctorando FPU
Research areas:
Uncategorized
Location:
Campus de Rabanales, edificio Albert Einstein, 3ª Planta, Ala Sur, CP: 14071
Publications
Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux
Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing
Multi-task learning for the prediction of wind power ramp events with deep neural networks
Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida
Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida
Wind power ramp events ordinal prediction using minimum complexity echo state networks
Robust estimation of wind power ramp events with reservoir computing
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation
Dynamically weighted Evolutionary Ordinal Neural Network for solving an Imbalanced Liver Transplantation Problem
Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction
From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier to measure the extent of globalisation
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines
On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm
Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem
Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis
Overcoming the linearity of Ordinal Logistic Regression adding non-linear covariates from Evolutionary Hybrid Neural Network models
Nonlinear Ordinal Logistic Regression using covariates obtained by Radial Basis Function neural networks models
Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most
Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions
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Projects
Modelos de Aprendizaje de Máquina para la determinación óptima de la Supervivencia y la Asignación Donante/REceptor en trasplante hepático. MASS-ALLOCATION
Algoritmos de clasificación ordinal en energias renovables (ORdinal Classification and prediction Algorithms in Renewable Energy, ORCA-RE)
NEMOTECH: Técnicas de Neuro-Modelado utilizando Algoritmos de Aprendizaje Híbridos. Aplicaciones en Biomedicina de Trasplantes, Agronomía y Microbiología Predictiva
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