MANUEL
FERNANDEZ DELGADO
Profesor titular de universidade
SENEN
BARRO AMENEIRO
Catedrático de universidade
Publicacións nas que colabora con SENEN BARRO AMENEIRO (43)
2023
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Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D
Neural Processing Letters, Vol. 55, Núm. 5, pp. 5377-5400
2022
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Fast Support Vector Classification for Large-Scale Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 10, pp. 6184-6195
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Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification
Neurocomputing, Vol. 489, pp. 1-8
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Quick extreme learning machine for large-scale classification
Neural Computing and Applications, Vol. 34, Núm. 8, pp. 5923-5938
2021
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Extreme learning machine with confidence interval based bias initialization
2021 2nd International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2021
2019
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An extensive experimental survey of regression methods
Neural Networks, Vol. 111, pp. 11-34
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Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems
Neural Computing and Applications, Vol. 31, Núm. 8, pp. 3515-3531
2018
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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
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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
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Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation
Neural Networks, Vol. 50, pp. 60-71
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Do we need hundreds of classifiers to solve real world classification problems?
Journal of Machine Learning Research, Vol. 15, pp. 3133-3181
2010
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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
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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
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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
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Fast array thinning using global optimization methods
Journal of Electromagnetic Waves and Applications, Vol. 24, Núm. 16, pp. 2259-2271
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Fast weight calculation for kernel-based perceptron in two-class classification problems
Proceedings of the International Joint Conference on Neural Networks
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Fast weight calculation for kernel-based perceptron in two-class classification problems
2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010
2009
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Rapid method for finding faulty elements in antenna arrays using far field pattern samples
European Conference on Antennas and Propagation, EuCAP 2009, Proceedings
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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
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Time estimation in injection molding production for automotive industry based on SVR and RBF
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)