Cruz-Ramírez, Manuel

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Cruz-Ramírez, Manuel

Personal Information
Position:	Contratado FPU
Research areas:	Uncategorized

Location:	Rabanales
Publications
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation Kernelising the Proportional Odds Model through Kernel Learning techniques Metrics to guide a multi-objective evolutionary algorithm for ordinal classification An organ allocation system for liver transplantation based on ordinal regression Use of artificial intelligence as an innovative donor-recipient matching model for liver transplantation: Results from a multicenter Spanish study Time series segmentation and statistical characterisation of the Spanish stock market Ibex-35 index Utilidad de los modelos de aprendizaje automático para la predicción de la recidiva del hepatocarcinoma tras el trasplante hepático Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks Validación externa de un modelo de asignación de redes neuronales en la asignación donante-receptor en trasplante hepático Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem Redes neuronales evolutivas multiobjetivo para clasificación nominal y ordinal. Aplicaciones Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping Asignación de órganos en trasplante hepático mediante regresión ordinal Multi-Objective Evolutionary Algorithm for Donor-Recipient Decision System in Liver Transplants Approaching system administration as a group project in computer engineering higher education Memetic Multi-Objective Algorithm based on Differential Evolution to Design Artificial Neural Networks: Applications (New trends on intelligent systems and soft computing) Multiobjective Pareto Ordinal Classification for Predictive Microbiology Hybrid Multi-objective Machine Learning Classification in Liver Transplantation A multi-objective neural network based method for cover crop identification from remote sensed data A Preliminary Study of Ordinal Metrics to Guide a Multi-Objective Evolutionary Algorithm Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network Aplicación de redes neuronales artificiales multiobjetivo en el emparejamiento donante-receptor en trasplante hepático Selecting the best Artificial Neural Network model from a Multi-Objective Differential Evolution Pareto front Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology GRUPO DE INVESTIGACIÓN TIC-148 Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures On the suitability of Extreme Learning Machine for gene classification using feature selection Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification Aprendizaje hibrido de redes neuronales q-Gaussianas en clasificación binaria Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions E}studio de un Modelo de Ensemble formado por los Extremos del Frente de Pareto en Algoritmos Evolutivos Multi-objetivo Utilizando la Técnica {TOPSIS Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology Técnica de Hibridación de un Algoritmo Evolutivo y una Búsqueda Local basada en Análisis Cluster para la Optimización de Redes Neuronales RBF Memetic Pareto Differential Evolution for designing Artificial Neural Networks in Multiclassification Problems using Cross-Entropy versus Sensitivity Design of Artificial Neural Networks using a Memetic Pareto Evolutionary Algorithm using as objectives Entropy versus Variation Coefficient [View Less]
Projects
NEuro-MOdelado AVAnzado para Clasificación Ordinal y Nominal mediante algoritmos de aprendizaje híbrido. Aplicaciones en teledetección para agricultura y en biomedicina de trasplantes (NEMO-AVACO) NEMOTECH: Técnicas de Neuro-Modelado utilizando Algoritmos de Aprendizaje Híbridos. Aplicaciones en Biomedicina de Trasplantes, Agronomía y Microbiología Predictiva Red Temática Española para el Avance y la Transferencia de la Inteligencia Computacional Aplicada (ATICA) Red Española de Minería de Datos y Aprendizaje (Redmidas) Regresion logística con covariables obtenidas mediante Aprendizaje Hibrido de Redes Neuronales de Unidades Producto: Aplicaciones al Análisis de Eficiencia y de Medidas de Condicionalidad en Cultivos Andaluces (REGLOG-NEURONAL) [View All]