Search Results - "Fernández Navarro, F"
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A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression
Published in Neural processing letters (01-08-2017)“…Ordinal regression is a kind of regression analysis used for predicting an ordered response variable. In these problems, the patterns are labelled by a set of…”
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On the use of evolutionary time series analysis for segmenting paleoclimate data
Published in Neurocomputing (Amsterdam) (31-01-2019)“…Recent studies propose that different dynamical systems, such as climate, ecological and financial systems, among others, present critical transition points…”
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Time series forecasting by recurrent product unit neural networks
Published in Neural computing & applications (01-02-2018)“…Time series forecasting (TSF) consists on estimating models to predict future values based on previously observed values of time series, and it can be applied…”
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Financial Soundness Prediction Using a Multi-classification Model: Evidence from Current Financial Crisis in OECD Banks
Published in Computational economics (01-06-2018)“…The paper aims to develop an early warning model that separates previously rated banks (337 Fitch-rated banks from OECD) into three classes, based on their…”
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Generalised Gaussian radial basis function neural networks
Published in Soft computing (Berlin, Germany) (01-03-2013)“…The mixed use of different shapes of radial basis functions (RBFs) in radial basis functions neural networks (RBFNNs) is investigated in this paper. For this…”
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Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises
Published in Omega (Oxford) (01-10-2010)“…As the current crisis has painfully proved, the financial system plays a crucial role in economic development. Although the current crisis is being of an…”
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PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis
Published in Neural processing letters (01-06-2013)“…It is well-known that single-hidden-layer feedforward networks (SLFNs) with additive models are universal approximators. However the training of these models…”
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Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis
Published in Neural computing & applications (01-08-2016)“…In the majority of traditional extreme learning machine (ELM) approaches, the parameters of the basis functions are randomly generated and do not need to be…”
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Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers
Published in Neural processing letters (01-10-2011)“…Recently, a multi-objective Sensitivity–Accuracy based methodology has been proposed for building classifiers for multi-class problems. This technique is…”
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Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem
Published in Neural processing letters (01-10-2011)“…Gene expression detection is a key bioinformatic problem which has been tackled as a classification problem of microarray gene expression, obtained by the…”
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Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology
Published in Evolutionary intelligence (01-12-2010)“…The main objective of this research is to automatically design Artificial Neural Network models with sigmoid basis units for multiclassification tasks in…”
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On the suitability of Extreme Learning Machine for gene classification using feature selection
Published in 2010 10th International Conference on Intelligent Systems Design and Applications (01-11-2010)“…This paper studies the suitability of Extreme Learning Machines (ELM) for resolving bioinformatic and biomedical classification problems. In order to test…”
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Conference Proceeding -
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A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks
Published in 2009 Ninth International Conference on Intelligent Systems Design and Applications (01-11-2009)“…In this paper, we propose a memetic algorithm (MA) for classifier optimization based on a clustering method that applies the k-means algorithm over a specific…”
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Conference Proceeding -
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Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front
Published in 2011 IEEE Symposium on Differential Evolution (SDE) (01-04-2011)“…The objective of this work is to select artificial neural network models (ANN) automatically with sigmoid basis units for multiclassification tasks. These…”
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Conference Proceeding -
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Classification by Evolutionary Generalized Radial Basis Functions
Published in 2009 Ninth International Conference on Intelligent Systems Design and Applications (01-11-2009)“…This paper proposes a novelty neural network model by using generalized kernel functions for the hidden layer of a feed forward network (Generalized Radial…”
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Conference Proceeding -
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Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers
Published in 2010 10th International Conference on Intelligent Systems Design and Applications (01-11-2010)“…The selection of a particular neural network model belonging to the Pareto front is a problem that exists in all multi-objective algorithms. This paper…”
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Conference Proceeding -
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Medicamentos del bienestar o de la felicidad?
Published in Atención primaria (01-01-2001)Get full text
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Wellbeing or happiness medications?
Published in Atención primaria (30-06-2001)Get full text
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Medicamentos del bienestar o de la felicidad?
Published in Atención primaria (2001)Get full text
Journal Article