Publicacións nas que colabora con SENEN BARRO AMENEIRO (16)

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

  2. Fast SVC for large-scale classification problems

    IEEE Transactions on Pattern Analysis and Machine Intelligence

2019

  1. An extensive experimental survey of regression methods

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

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

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

    Proceedings of the International Joint Conference on Neural Networks

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

    2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010