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Browsing by Department "APRENDIZAJE Y REDES NEURONALES ARTIFICIALES (AYRNA)"

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    A coral reef optimization algorithm for wave height time series segmentation problems
    (2017)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
    ;
    CESAR HERVAS MARTINEZ  
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    A Dictionary-Based Approach to Time Series Ordinal Classification
    (2023)
    CESAR HERVAS MARTINEZ  
    ;
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    A dynamic over-sampling procedure based on sensitivity for multi-class problems
    (2011)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
    ;
    CESAR HERVAS MARTINEZ  
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    A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic
    (2024)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    A hybrid approach to time series classification with shapelets
    (2019)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation
    (2019)
    ANGEL CARMONA POYATO  
    ;
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
    ;
    CESAR HERVAS MARTINEZ  
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    A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
    (2023)
    VÍCTOR MANUEL VARGAS YUN  
    ;
    CESAR HERVAS MARTINEZ  
    ;
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks
    (2024)
    JUAN CARLOS FERNÁNDEZ CABALLERO  
    ;
    CESAR HERVAS MARTINEZ  
    ;
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation
    (2022)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
    ;
    CESAR HERVAS MARTINEZ  
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    A mixture of experts model for predicting persistent weather patterns
    (2018)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    A multi-objective neural network based method for cover crop identification from remote sensed data
    (2012)
    CESAR HERVAS MARTINEZ  
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    A novel approach for global solar irradiation forecasting on tilted plane using Hybrid Evolutionary Neural Networks
    (2021)
    CESAR HERVAS MARTINEZ  
    ;
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    A novel deep ordinal classification approach for aesthetic quality control classification
    (2022)
    VÍCTOR MANUEL VARGAS YUN  
    ;
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
    ;
    CESAR HERVAS MARTINEZ  
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    A review of classification problems and algorithms in renewable energy applications
    (2016)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
    ;
    CESAR HERVAS MARTINEZ  
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    A structural distance-based crossover for neural network classifiers
    (2012)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
    ;
    CESAR HERVAS MARTINEZ  
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    A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment
    (2016)
    CESAR HERVAS MARTINEZ  
    ;
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    A two-stage algorithm in evolutionary product unit neural networks for classification
    (2011)
    CESAR HERVAS MARTINEZ  
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    A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems
    (2012)
    CESAR HERVAS MARTINEZ  
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    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study
    (2023)
    VÍCTOR MANUEL VARGAS YUN  
    ;
    CESAR HERVAS MARTINEZ  
    ;
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
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    Addressing remitting behavior using an ordinal classification approach
    (2014)
    PEDRO ANTONIO GUTIÉRREZ PEÑA  
    ;
    CESAR HERVAS MARTINEZ  
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