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David Becerra-Alonso
ORCID
Publication Activity (10 Years)
Years Active: 2011-2022
Publications (10 Years): 10
Top Topics
Text Classification
Sustainable Development
Extreme Learning Machines
Top Venues
ICEUTE
CISIS-ICEUTE
IEEE Trans. Neural Networks Learn. Syst.
Neural Comput. Appl.
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Publications
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Roberto Carlos Morales-Hernández
,
Joaquín Gutiérrez Jagüey
,
David Becerra-Alonso
A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals.
IEEE Access
10 (2022)
Roberto Carlos Morales-Hernández
,
David Becerra-Alonso
,
Eduardo Romero Vivas
,
Joaquín Gutiérrez
Comparison Between SVM and DistilBERT for Multi-label Text Classification of Scientific Papers Aligned with Sustainable Development Goals.
MICAI (2)
(2022)
José A. Gallardo
,
Miguel García-Torres
,
Francisco Gómez-Vela
,
Félix Morales
,
Federico Divina
,
David Becerra-Alonso
,
Gustavo Velázquez
,
Federico Daumas-Ladouce
,
José Luis Vázquez Noguera
,
Carlos Sauer Ayala
,
Diego P. Pinto-Roa
,
Pedro E. Gardel-Sotomayor
,
Julio César Mello Román
Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach.
SOCO
(2021)
Carlos Perales-González
,
Mariano Carbonero-Ruz
,
Javier Pérez-Rodríguez
,
David Becerra-Alonso
,
Francisco Fernández-Navarro
Negative correlation learning in the extreme learning machine framework.
Neural Comput. Appl.
32 (17) (2020)
Viviana Elizabeth Jiménez Chaves
,
Miguel García-Torres
,
David Becerra-Alonso
,
Francisco Gómez-Vela
,
Federico Divina
,
Jose Luis Vazquez Noguera
Analysis of Student Achievement Scores via Cluster Analysis.
ICEUTE
(2020)
Carlos Perales-González
,
Mariano Carbonero-Ruz
,
David Becerra-Alonso
,
Javier Pérez-Rodríguez
,
Francisco Fernández-Navarro
Regularized ensemble neural networks models in the Extreme Learning Machine framework.
Neurocomputing
361 (2019)
Miguel García-Torres
,
David Becerra-Alonso
,
Francisco Antonio Gómez Vela
,
Federico Divina
,
Isabel López-Cobo
,
Francisco Martínez-Álvarez
Analysis of Student Achievement Scores: A Machine Learning Approach.
CISIS-ICEUTE
(2019)
Carlos Perales-González
,
Mariano Carbonero-Ruz
,
David Becerra-Alonso
,
Francisco Fernández-Navarro
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles.
HAIS
(2018)
Francisco Fernández-Navarro
,
Mariano Carbonero-Ruz
,
David Becerra-Alonso
,
Mercedes Torres-Jiménez
Global Sensitivity Estimates for Neural Network Classifiers.
IEEE Trans. Neural Networks Learn. Syst.
28 (11) (2017)
Mariano Carbonero-Ruz
,
Francisco J. Martínez-Estudillo
,
Francisco Fernández-Navarro
,
David Becerra-Alonso
,
Alfonso C. Martínez-Estudillo
A two dimensional accuracy-based measure for classification performance.
Inf. Sci.
(2017)
David Becerra-Alonso
,
Mariano Carbonero-Ruz
,
Francisco J. Martínez-Estudillo
,
Alfonso C. Martínez-Estudillo
Evolutionary Extreme Learning Machine for Ordinal Regression.
ICONIP (3)
(2012)
David Becerra-Alonso
,
Mariano Carbonero-Ruz
,
Francisco J. Martínez-Estudillo
,
Alfonso C. Martínez-Estudillo
A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers.
IWANN (2)
(2011)
Javier Sánchez-Monedero
,
Mariano Carbonero-Ruz
,
David Becerra-Alonso
,
Francisco J. Martínez-Estudillo
,
Pedro Antonio Gutiérrez
,
César Hervás-Martínez
Numerical variable reconstruction from ordinal categories based on probability distributions.
ISDA
(2011)