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ORCIDCarlos Perales-González
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2020 – today
- 2022
[j6]Carlos Perales-González
, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez:
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4031-4042 (2022)- 2021
- [j5]Carlos Perales-González, Francisco Fernández-Navarro, Javier Pérez-Rodríguez, Mariano Carbonero-Ruz:
Negative Correlation Hidden Layer for the Extreme Learning Machine. Appl. Soft Comput. 109: 107482 (2021) - [j4]Carlos Perales-González:
Global convergence of Negative Correlation Extreme Learning Machine. Neural Process. Lett. 53(3): 2067-2080 (2021) - 2020
- [j3]Daniel Vélez, A. Ayuso, Carlos Perales-González, Juan Tinguaro Rodríguez:
Churn and Net Promoter Score forecasting for business decision-making through a new stepwise regression methodology. Knowl. Based Syst. 196: 105762 (2020) - [j2]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) - [i1]Carlos Perales-González:
Global convergence of Negative Correlation Extreme Learning Machine. CoRR abs/2009.14695 (2020)
2010 – 2019
- 2019
- [j1]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) - 2018
- [c1]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
Coauthor Index
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