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francisco-fernandez-navarro
Fernandez-Navarro, Francisco
Personal Information
Position:
Profesor Sustituto Interino
Research areas:
Uncategorized
Location:
Rabanales
Publications
Regularized ensemble neural networks models in the Extreme Learning Machine framework
On the use of evolutionary time series analysis for segmenting paleoclimate data
Time series forecasting by recurrent product unit neural networks
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm
A two dimensional accuracy-based measure for classification performance
Global sensitivity estimates for neural network classifiers
Ordinal regression methods: survey and experimental study
Using Extreme Learning Machines to cluster supervised data before classification
The impact of culture in online learning
Measuring teaching and learners’ perceptions of the quality of their online learning experience
A cross-national study of teacher’s perceptions of online learning success.
Ordinal Regression by a Gravitational Model in the field of Educational Data Mining
Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm
Operalizionalizing the capability approach in online learning
Measuring quality in online programs using learners' perceptions
Ordinal Regression by a Generalized Force-Based Model
Characterising the success factors on distance education using the Hofstede Cultural Framework
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine
Ordinal Neural Networks Without Iterative Tuning
Addressing the EU sovereign ratings using an ordinal regression approach
Negative Correlation Ensemble Learning for Ordinal Regression
Generalised Gaussian Radial Basis Function Neural Networks
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks
Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles
PCA-ELM: A Robust and Pruned Extreme Learning Machine approach based on Principal Component Analysis
Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for Binary Classification
An Experimental Study of Different Ordinal Regression Methods and Measures
Permanent Disability Classification by Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology
Evolutionary Generalized Radial Basis Function Neural Networks for improving prediction accuracy in gene classification using feature selection
Approaching system administration as a group project in computer engineering higher education
Weighting efficient Accuracy and Minimum Sensitivity for evolving multi-class classifiers
A dynamic over-sampling procedure based on sensitivity for multi-class problems
Neuro-logistic models based on Evolutionary Generalized Radial Basis Function for the microarray gene expression classification problem
MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks
Evolutionary q-Gaussian Radial Basis Functions Neural Networks for Multi-Classification
Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification
Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus
Clasificación balanceada y no balanceada mediante redes neuronales evolutivas de funciones de base radial generalziadas y q-gaussianas
Selecting the best Artificial Neural Network model from a Multi-Objective Differential Evolution Pareto front
Identification of sound for Pass-by Noise test in vehicles using Generalized Gaussian Radial Basis Function Neural Networks
Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology
Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification
Evolutionary q-Gaussian Radial Basis Functions for improving prediction accuracy of gene classification using feature selection
Aprendizaje hibrido de redes neuronales q-Gaussianas en clasificación binaria
Classification by Evolutionary Generalized Radial Basis Functions
GRUPO DE INVESTIGACIÓN TIC-148
Development of a multi-classification neural network model to determine the microbial growth/no growth interface
Generalized logistic regression models using neural network basis functions applied to the detection of banking crises
Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises
On the suitability of Extreme Learning Machine for gene classification using feature selection
Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks
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
A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks
Classification by Evolutionary Generalized Radial Basis Functions
Técnica de Hibridación de un Algoritmo Evolutivo y una Búsqueda Local basada en Análisis Cluster para la Optimización de Redes Neuronales RBF
A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms
Improving Microbial Growth Prediction by Product Unit Neural Network
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Projects
Diversificación Avanzada de Máquinas de Aprendizaje (Advanced Diversification for Learning Machines)
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)
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