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Julio C. López Luis
Julio C. López Luis
Instituto de Ciencias Básicas, Facultad de Ingeniería y Ciencias, Universidad Diego Portales
Verified email at udp.cl
Title
Cited by
Cited by
Year
Dealing with high-dimensional class-imbalanced datasets: embedded feature selection for SVM classification
S Maldonado, J López
Applied Soft Computing 67, 94-105, 2018
1742018
An alternative SMOTE oversampling strategy for high-dimensional datasets
S Maldonado, J López, Vairetti
Applied Soft Computing 76, 380-389, 2019
1202019
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
902017
Imbalanced data classification using second-order cone programming support vector machines
S Maldonado, J López
Pattern Recognition 47 (5), 2070-2079, 2014
842014
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
402010
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
342018
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
332013
Profit-based Credit Scoring based on Robust Optimization and Feature Selection
J López, S Maldonado
Information Sciences 500, 190-202, 2019
292019
A second-order cone programming formulation for twin support vector machines
S Maldonado, J López, M Carrasco
Applied Intelligence 45 (2), 265-276, 2016
292016
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
282020
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
252020
Synchronized feature selection for Support Vector Machines with twin hyperplanes
S Maldonado, J López
Knowledge-Based Systems 132, 119-128, 2017
252017
Alternative second-order cone programming formulations for support vector classification
S Maldonado, J López
Information Sciences 268, 328-341, 2014
242014
Multi-class Second-Order Cone Programming Support Vector Machines
J López, S Maldonado
Information Sciences 330, 328-341, 2016
232016
Redefining nearest neighbor classification in high-dimensional settings
J López, S Maldonado
Pattern Recognition Letters 110, 36-43, 2018
192018
Robust nonparallel support vector machines via second-order cone programming
J López, S Maldonado, M Carrasco
Neurocomputing 364, 227-238, 2019
182019
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
182016
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
182015
A novel Multi-class SVM model using second-order cone constraints
J López, S Maldonado, M Carrasco
Applied Intelligence 44 (2), 457-469, 2016
162016
Robust twin support vector regression via second-order cone programming
J López, S Maldonado
Knowledge-Based Systems 152, 83-93, 2018
152018
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