| A wrapper method for feature selection using support vector machines S Maldonado, R Weber Information Sciences 179 (13), 2208-2217, 2009 | 592 | 2009 |
| Feature selection for high-dimensional class-imbalanced data sets using support vector machines S Maldonado, R Weber, F Famili Information sciences 286, 228-246, 2014 | 369 | 2014 |
| Simultaneous feature selection and classification using kernel-penalized support vector machines S Maldonado, R Weber, J Basak Information Sciences 181 (1), 115-128, 2011 | 335 | 2011 |
| Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification S Maldonado, J López Applied Soft Computing 67, 94-105, 2018 | 265 | 2018 |
| An alternative SMOTE oversampling strategy for high-dimensional datasets S Maldonado, J López, C Vairetti Applied Soft Computing 76, 380-389, 2019 | 236 | 2019 |
| Cost-based feature selection for support vector machines: An application in credit scoring S Maldonado, J Pérez, C Bravo European Journal of Operational Research 261 (2), 656-665, 2017 | 180 | 2017 |
| Feature selection for support vector machines via mixed integer linear programming S Maldonado, J Pérez, R Weber, M Labbé Information sciences 279, 163-175, 2014 | 128 | 2014 |
| Uplift Modeling for preventing student dropout in higher education D Olaya, J Vásquez, S Maldonado, J Miranda, W Verbeke Decision support systems 134, 113320, 2020 | 126 | 2020 |
| FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification S Maldonado, C Vairetti, A Fernandez, F Herrera Pattern Recognition 124, 108511, 2022 | 124 | 2022 |
| Credit scoring using three-way decisions with probabilistic rough sets S Maldonado, G Peters, R Weber Information Sciences 507, 700-714, 2020 | 119 | 2020 |
| Integrated framework for profit-based feature selection and SVM classification in credit scoring S Maldonado, C Bravo, J López, J Pérez Decision Support Systems 104, 113-121, 2017 | 117 | 2017 |
| Automatic time series analysis for electric load forecasting via support vector regression S Maldonado, A Gonzalez, S Crone Applied Soft Computing 83, 105616, 2019 | 113 | 2019 |
| Imbalanced data classification using second-order cone programming support vector machines S Maldonado, J López Pattern Recognition 47 (5), 2070-2079, 2014 | 96 | 2014 |
| Hierarchical time series forecasting via support vector regression in the European travel retail industry JP Karmy, S Maldonado Expert Systems with Applications 137, 59-73, 2019 | 90 | 2019 |
| Profit-based feature selection using support vector machines–General framework and an application for customer retention S Maldonado, Á Flores, T Verbraken, B Baesens, R Weber Applied Soft Computing 35, 740-748, 2015 | 89 | 2015 |
| Analytics meets port logistics: A decision support system for container stacking operations S Maldonado, RG González-Ramírez, F Quijada, A Ramírez-Nafarrate Decision Support Systems 121, 84-93, 2019 | 72 | 2019 |
| Understanding customer satisfaction via deep learning and natural language processing Á Aldunate, S Maldonado, C Vairetti, G Armelini Expert Systems with Applications 209, 118309, 2022 | 71 | 2022 |
| SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression JM Valente, S Maldonado Expert Systems with Applications 160, 113729, 2020 | 71 | 2020 |
| Granting and managing loans for micro-entrepreneurs: New developments and practical experiences C Bravo, S Maldonado, R Weber European Journal of Operational Research 227 (2), 358-366, 2013 | 62 | 2013 |
| Explainable AI for operational research: A defining framework, methods, applications, and a research agenda KW De Bock, K Coussement, A De Caigny, R Słowiński, B Baesens, ... European Journal of Operational Research 317 (2), 249-272, 2024 | 58 | 2024 |
Julio C. López LuisInstituto de Ciencias Básicas, Facultad de Ingeniería y Ciencias, Universidad Diego PortalesVerified email at udp.cl
