Esteban Alfaro Cortés

11 papers B 1Journal 10
YearRankTypeTitle / Venue / Authors
2023 J jnl
Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI.
Expert Syst. Appl.
Indranil Ghosh, Esteban Alfaro Cortés, Matías Gámez, Noelia García Rubio
2020 J jnl
A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems.
Complex.
José-Luis Alfaro-Navarro, Emilio L. Cano, Esteban Alfaro Cortés, Noelia García Rubio, Matías Gámez, Beatriz Larraz
2020 J jnl
Exploring the Relation Between the Digital Divide and Government's Effort to Develop E-Participation: A Global Longitudinal Analysis.
Int. J. Electron. Gov. Res.
Rosario Perez-Morote, Carolina Pontones Rosa, Esteban Alfaro Cortés
2015 J jnl
A Comparison of Different Classification Techniques to Determine the Change Causes in Hotelling's
Qual. Reliab. Eng. Int.
Esteban Alfaro Cortés, José-Luis Alfaro-Navarro, Matías Gámez, Noelia García Rubio
2012 J jnl
A GRASP method for building classification trees.
Expert Syst. Appl.
Joaquín A. Pacheco, Esteban Alfaro Cortés, Silvia Casado, Matías Gámez, Noelia García Rubio
2012 J jnl
Linear separability and classification complexity.
Expert Syst. Appl.
David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés
2009 B conf
Estimation of classification complexity.
IJCNN
David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés
2009 J jnl
The individual borrowers recognition: Single and ensemble trees.
Expert Syst. Appl.
Mariola Chrzanowska, Esteban Alfaro Cortés, Dorota Witkowska
2008 J jnl
ANN+GIS: An automated system for property valuation.
Neurocomputing
Noelia García Rubio, Matías Gámez, Esteban Alfaro Cortés
2008 J jnl
Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks.
Decis. Support Syst.
Esteban Alfaro Cortés, Noelia García Rubio, Matías Gámez, David A. Elizondo
2007 J jnl
A boosting approach for corporate failure prediction.
Appl. Intell.
Esteban Alfaro Cortés, Matías Gámez Martínez, Noelia García Rubio