Search Results - "Fernández Navarro, F"

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  1. 1

    A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression by Fernández-Navarro, F.

    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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    Journal Article
  2. 2

    On the use of evolutionary time series analysis for segmenting paleoclimate data by Pérez-Ortiz, M., Durán-Rosal, A.M., Gutiérrez, P.A., Sánchez-Monedero, J., Nikolaou, A., Fernández-Navarro, F., Hervás-Martínez, C.

    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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    Journal Article
  3. 3

    Time series forecasting by recurrent product unit neural networks by Fernández-Navarro, F., de la Cruz, Maria Angeles, Gutiérrez, P. A., Castaño, A., Hervás-Martínez, C.

    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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    Journal Article
  4. 4

    Financial Soundness Prediction Using a Multi-classification Model: Evidence from Current Financial Crisis in OECD Banks by Fernández-Arias, D., López-Martín, M., Montero-Romero, T., Martínez-Estudillo, F., Fernández-Navarro, F.

    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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    Journal Article
  5. 5

    Generalised Gaussian radial basis function neural networks by Fernández-Navarro, F., Hervás-Martínez, C., Gutierrez, P. A.

    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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    Journal Article
  6. 6

    Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises by Gutiérrez, P.A., Segovia-Vargas, M.J., Salcedo-Sanz, S., Hervás-Martínez, C., Sanchis, A., Portilla-Figueras, J.A., Fernández-Navarro, F.

    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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    Journal Article
  7. 7

    PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis by Castaño, A., Fernández-Navarro, F., Hervás-Martínez, C.

    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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    Journal Article
  8. 8

    Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis by Castaño, A., Fernández-Navarro, F., Riccardi, Annalisa, Hervás-Martínez, C.

    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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    Journal Article
  9. 9

    Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers by Sánchez-Monedero, Javier, Gutiérrez, Pedro A., Fernández-Navarro, F., Hervás-Martínez, C.

    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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    Journal Article
  10. 10

    Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem by Castaño, A., Fernández-Navarro, F., Hervás-Martínez, C., Gutierrez, P. A.

    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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    Journal Article
  11. 11

    Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology by Cruz-Ramírez, M., Sánchez-Monedero, J., Fernández-Navarro, F., Fernández, J. C., Hervás-Martínez, C.

    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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    Journal Article
  12. 12

    On the suitability of Extreme Learning Machine for gene classification using feature selection by Sanchez-Monedero, J, Cruz-Ramirez, M, Fernandez-Navarro, F, Fernandez, J C, Gutierrez, P A, Hervas-Martinez, C

    “…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
  13. 13

    A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks by Fernandez-Navarro, F., Gutierrez, P.A., Hervas-Martinez, C.

    “…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
  14. 14

    Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front by Cruz-Ramirez, M., Fernandez, J. C., Fernandez-Navarro, F., Sanchez-Monedero, J., Hervas-Martinez, C.

    “…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
  15. 15

    Classification by Evolutionary Generalized Radial Basis Functions by Castao, A., Hervas-Martinez, C., Gutierrez, P.A., Fernandez-Navarro, F., Garcia, M.M.

    “…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
  16. 16

    Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers by Cruz-Ramirez, M, Fernandez, J C, Sanchez-Monedero, J, Fernandez-Navarro, F, Hervas-Martinez, C, Gutierrez, P A, Lamata, M T

    “…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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