Martínez-Estudillo, Francisco José

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Martínez-Estudillo, Francisco José

Personal Information
Position:	Profesor Titular de Universidad
Research areas:	Uncategorized

Location:	Universidad Loyola Andalucia
Publications
Simultaneous optimisation of clustering quality and approximation error for time series segmentation A two dimensional accuracy-based measure for classification performance Multiobjective time series segmentation by improving clustering quality and reducing approximation error Time Series Representation by a Novel Hybrid Segmentation Algorithm A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems Evolutionary Extreme Learning Machine for Ordinal Regression Extreme Learning Machine to Analyze the Level of Default in Spanish Deposit Institutions Numerical variable reconstruction from ordinal categories based on probability distributions Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks GRUPO DE INVESTIGACIÓN TIC-148 Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks MultiLogistic Regression using Initial and Radial Basis Function covariates 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 Evolutionary Learning by a Sensitivity-Accuracy Approach for Multi-class Problems Multilogistic Regression by Product Units Multilogistic Regression by means of Evolutionary Product-Unit Neural Networks Evolutionary Product-Unit Neural Networks Classifiers Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes Evolutionary Combining of Basis Function Neural Networks for Classification Aprendizaje mediante la hibridación de técnicas heurísticas y estadísticas de optimización en regresión logística binaria Logistic Regression using covariates obtained by Product Unit Neural Networks models Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification Clasificación mediante la Evolución de Modelos Híbridos de Redes Neuronales Hybridation of evolutionary algorithms and local search by means of a clustering method Evolutionary Product Unit based Neural Networks for Regression Evolutionary Product-Unit Neural Networks for Classification Classification by means Evolutionary Product-Unit Neural Networks Memetic algorithms to product-unit neural networks for regresión Regresión no lineal mediante la evolución de modelos híbridos de redes neuronales Algoritmo Evolutivo para el reconocimiento de funciones de base potencial Modelado de Sistemas de crecimiento microbiano mediante redes neuronales evolutivas [View Less]
Projects
Algoritmos de clasificación ordinal en energias renovables (ORdinal Classification and prediction Algorithms in Renewable Energy, ORCA-RE) 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) [View All]