Publicacións nas que colabora con SENEN BARRO AMENEIRO (44)

2024

  1. Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification

    IEEE Transactions on Neural Networks and Learning Systems

2023

  1. Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D

    Neural Processing Letters, Vol. 55, Núm. 5, pp. 5377-5400

2022

  1. Fast Support Vector Classification for Large-Scale Problems

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 10, pp. 6184-6195

  2. Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification

    Neurocomputing, Vol. 489, pp. 1-8

  3. Quick extreme learning machine for large-scale classification

    Neural Computing and Applications, Vol. 34, Núm. 8, pp. 5923-5938

2021

  1. Extreme learning machine with confidence interval based bias initialization

    2021 2nd International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2021

2019

  1. An extensive experimental survey of regression methods

    Neural Networks, Vol. 111, pp. 11-34

  2. Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems

    Neural Computing and Applications, Vol. 31, Núm. 8, pp. 3515-3531

2018

  1. Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods

    Computers and Electronics in Agriculture, Vol. 154, pp. 120-133

2017

  1. Comparison of a massive and diverse collection of ensembles and other classifiers for oil spill detection in SAR satellite images

    Neural Computing and Applications, Vol. 28, pp. 1101-1117

2014

  1. Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

    Neural Networks, Vol. 50, pp. 60-71

  2. Do we need hundreds of classifiers to solve real world classification problems?

    Journal of Machine Learning Research, Vol. 15, pp. 3133-3181

2010

  1. A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin

    2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010

  2. A comparison of several neural networks to predict the execution times in injection molding production for automotive industry

    Neural Computing and Applications, Vol. 19, Núm. 5, pp. 741-754

  3. A parallel perceptron network for classification with direct calculation of the weights optimizing error and margin

    Proceedings of the International Joint Conference on Neural Networks

  4. Fast array thinning using global optimization methods

    Journal of Electromagnetic Waves and Applications, Vol. 24, Núm. 16, pp. 2259-2271

  5. Fast weight calculation for kernel-based perceptron in two-class classification problems

    Proceedings of the International Joint Conference on Neural Networks

  6. Fast weight calculation for kernel-based perceptron in two-class classification problems

    2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010

2009

  1. Rapid method for finding faulty elements in antenna arrays using far field pattern samples

    European Conference on Antennas and Propagation, EuCAP 2009, Proceedings

  2. Rapid method for finding faulty elements in antenna arrays using far field pattern samples

    IEEE Transactions on Antennas and Propagation, Vol. 57, Núm. 6, pp. 1679-1683