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2020 – today
- 2022
[j5]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: 123534-123548 (2022)- [c8]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: 57-67 - 2021
- [c7]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: 685-694 - 2020
- [j4]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): 13805-13823 (2020) - [c6]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: 399-408
2010 – 2019
- 2019
- [j3]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: 196-211 (2019) - [c5]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: 275-284 - 2018
- [c4]Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco Fernández-Navarro:
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles. HAIS 2018: 302-314 - 2017
- [j2]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. 382-383: 60-80 (2017) - [j1]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): 2592-2604 (2017) - 2012
- [c3]David Becerra-Alonso, Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo:
Evolutionary Extreme Learning Machine for Ordinal Regression. ICONIP (3) 2012: 217-227 - 2011
- [c2]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: 1182-1187 - [c1]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: 161-168 - 2010
- [b1]David Becerra-Alonso:
Deterministic chaos in Malkus' waterwheel. University of the West of Scotland, Hamilton, UK, 2010
Coauthor Index
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