Dealing with high-dimensional class-imbalanced datasets: embedded feature selection for SVM classification S Maldonado, J López Applied Soft Computing 67, 94-105, 2018 | 236 | 2018 |
An alternative SMOTE oversampling strategy for high-dimensional datasets S Maldonado, J López, Vairetti Applied Soft Computing 76, 380-389, 2019 | 204 | 2019 |
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 | 109 | 2017 |
Imbalanced data classification using second-order cone programming support vector machines S Maldonado, J López Pattern Recognition 47 (5), 2070-2079, 2014 | 90 | 2014 |
Interior proximal algorithm with variable metric for second-order cone programming: applications to structural optimization and support vector machines F Alvarez, J López, CH Ramírez Optimization Methods & Software 25 (6), 859-881, 2010 | 44 | 2010 |
Profit-based churn prediction based on minimax probability machines S Maldonado, J López, C Vairetti European Journal of Operational Research 284 (1), 273-284, 2020 | 41 | 2020 |
Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment S Maldonado, J López, A Jimenez-Molina, H Lira Expert Systems with Applications 143, 112988, 2020 | 39 | 2020 |
Double regularization methods for robust feature selection and SVM classification via DC programming J López, S Maldonado, M Carrasco Information Sciences 429, 377-389, 2018 | 38 | 2018 |
Support vector machine under uncertainty: An application for hydroacoustic classification of fish-schools in Chile P Bosch, J López, H Ramírez, H Robotham Expert Systems with Applications 40 (10), 4029-4034, 2013 | 38 | 2013 |
Profit-based Credit Scoring based on Robust Optimization and Feature Selection J López, S Maldonado Information Sciences 500, 190-202, 2019 | 36 | 2019 |
A second-order cone programming formulation for twin support vector machines S Maldonado, J López, M Carrasco Applied Intelligence 45 (2), 265-276, 2016 | 32 | 2016 |
Multi-class Second-Order Cone Programming Support Vector Machines J López, S Maldonado Information Sciences 330, 328-341, 2016 | 29 | 2016 |
Alternative second-order cone programming formulations for support vector classification S Maldonado, J López Information Sciences 268, 328-341, 2014 | 27 | 2014 |
Synchronized feature selection for Support Vector Machines with twin hyperplanes S Maldonado, J López Knowledge-Based Systems 132, 119-128, 2017 | 26 | 2017 |
A Second-order cone programming formulation for nonparallel hyperplane support vector machine M Carrasco, J López, S Maldonado Expert Systems with Applications 54, 95-104, 2016 | 24 | 2016 |
Redefining nearest neighbor classification in high-dimensional settings J López, S Maldonado Pattern Recognition Letters 110, 36-43, 2018 | 23 | 2018 |
Time-weighted Fuzzy Support Vector Machines for classification in changing environments S Maldonado, J Lopez, C Vairetti Information Sciences 559, 97-110, 2021 | 22 | 2021 |
Robust nonparallel support vector machines via second-order cone programming J López, S Maldonado, M Carrasco Neurocomputing 364, 227-238, 2019 | 22 | 2019 |
A multi-class SVM approach based on the l1-norm minimization of the distances between the reduced convex hulls M Carrasco, J López, S Maldonado Pattern Recognition 48 (5), 1598-1607, 2015 | 22 | 2015 |
Robust twin support vector regression via second-order cone programming J López, S Maldonado Knowledge-Based Systems 152, 83-93, 2018 | 21 | 2018 |