Carlos Perales-González

According to our database, Carlos Perales-González authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models.

Carlos Perales-González, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Global convergence of Negative Correlation Extreme Learning Machine.

Carlos Perales-González

Neural Process. Lett., 2021

Negative Correlation Hidden Layer for the Extreme Learning Machine.

Carlos Perales-González, Francisco Fernández-Navarro, Javier Pérez-Rodríguez, Mariano Carbonero-Ruz

Appl. Soft Comput., 2021

2020

Negative correlation learning in the extreme learning machine framework.

Carlos Perales-González, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez, David Becerra-Alonso, Francisco Fernández-Navarro

Neural Comput. Appl., 2020

Churn and Net Promoter Score forecasting for business decision-making through a new stepwise regression methodology.

Daniel Vélez, A. Ayuso, Carlos Perales-González, Juan Tinguaro Rodríguez

Knowl. Based Syst., 2020

2019

Regularized ensemble neural networks models in the Extreme Learning Machine framework.

Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Javier Pérez-Rodríguez, Francisco Fernández-Navarro

Neurocomputing, 2019

2018

A Preliminary Study of Diversity in Extreme Learning Machines Ensembles.

Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco Fernández-Navarro

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018