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Julio Cesar Lopez Luis

Profesor e investigador

Universidad Diego Portales

Santiago, Chile

conic optimization, interior-point algorithm, proximal-type algorithms, machine learning, pattern recognition.

Ingeniería Matemática, Mención Modelación Matemátia, UNIVERSIDAD DE CHILE. Chile, 2009
Ciencias, mención Matemáticas, Universidad Nacional de Trujillo. Chile, 2003
Licenciado en Matetmáticas, Universidad Nacional de Trujillo. Chile, 2001

Profesor Part Time

UNIVERSIDAD DE CHILE

Ciencias Físicas y Matemáticas

Santiago, Chile

2008 - 2012
Investigador Full Time

UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

Santiago, Chile

2011 - 2012
Profesor Asociado Full Time

UNIVERSIDAD DIEGO PORTALES

Ingeniería y Ciencias

Santiago, Chile

2012 - A la fecha

Profesor e Investigador Full Time

Universidad Diego Portales

Santiago, Chile

2012 - A la fecha

*) Pedro Avila, Mathematical Engineer, Universidad de Santiago de Chile, 2018: “Formulaciones SVM con incertidumbre aplicados a las clasificación de datos desbalanceados”.

The Charles Broyden Prize for the Best Paper

Journal Optimization Methods and Software i

Reino Unido, 2011

The Charles Broyden Prize for the Best Paper published in Optimization Methods and Software in 2010.


Bayes-optimal minimax probability machines Maldonado S.; Lopez J.; Carrasco M.; Bosch P. Article ISI (2026)
A study of PSVM and CPSVM models: analysis, correction, and application in operations research Carrasco M.; Ivorra B.; Lopez J.; Morote, D; Ramos A.M. Article ISI SCOPUS Annals of Operations Research (2025)
Embedded feature selection for robust probability learning machines Carrasco M.; Ivorra B.; Lopez J.; Ramos A.M. Article ISI SCOPUS Pattern Recognition (2025)
FDIPA-SOC: A MATLAB Package for Nonlinear Second-Order Cone Programs Canelas, A; Carrasco M.; Lopez J.; Paduro, E Article ISI SCOPUS Computational and Applied Mathematics (2025)
Multiclass models for nonlinear classification via nonparallel hyperplane support vector machine Carrasco M.; Vairetti C.; Lopez J.; Maldonado S. Article ISI SCOPUS Chaos (2025)
Robust topology optimization of continuous structures using the Bernstein approximation Canelas, A; Carrasco M.; Lopez J. Article ISI SCOPUS Computers and Structures (2025)
Topology optimization of truss structures under failure probability using the Bernstein approximation Canelas, A; Carrasco M.; Lopez J. Article ISI SCOPUS Computers and Structures (2024)
OWAdapt: An adaptive loss function for deep learning using OWA operators Jara, Katherine; Carrasco, Miguel Article ISI SCOPUS Knowledge-Based Systems (2023)
Pooling information across levels in hierarchical time series forecasting via Kernel methods Article ISI SCOPUS Expert Systems with Applications (2023)
Out-of-time cross-validation strategies for classification in the presence of dataset shift Article ISI SCOPUS Applied Intelligence (2022)
The Cobb-Douglas Learning Machine Article ISI SCOPUS Pattern Recognition (2022)
Simultaneous model construction and noise reduction for hierarchical time series via Support Vector Regression Pablo Karmy, Juan Article ISI SCOPUS Knowledge-Based Systems (2021)
Time-weighted Fuzzy Support Vector Machines for classification in changing environments Article ISI SCOPUS Information Sciences (2021)
Profit-based churn prediction based on Minimax Probability Machines Article ISI SCOPUS European Journal of Operational Research (2020)
Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment Article ISI SCOPUS Expert Systems with Applications (2020)
A feasible direction algorithm for nonlinear second-order cone programs Article ISI OPTIMIZATION METHODS & SOFTWARE (2019)
A new method for reliability analysis and reliability-based design optimization Article ISI SCOPUS STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)
An alternative SMOTE oversampling strategy for high-dimensional datasets Article ISI SCOPUS Applied Soft Computing (2019)
Epsilon-nonparallel support vector regression Carrasco, Miguel Article ISI SCOPUS APPLIED INTELLIGENCE (2019)
Profit-based credit scoring based on robust optimization and feature selection Article ISI SCOPUS Information Sciences (2019)
Regularized minimax probability machine Carrasco, Miguel Article ISI SCOPUS Knowledge-Based Systems (2019)
Robust nonparallel support vector machines via second-order cone programming Carrasco, Miguel Article ISI SCOPUS NEUROCOMPUTING (2019)
Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification Article ISI SCOPUS Applied Soft Computing (2018)
Double regularization methods for robust feature selection and SVM classification via DC programming Carrasco, Miguel Article ISI SCOPUS Information Sciences (2018)
Ellipsoidal support vector regression based on second-order cone programming Article ISI SCOPUS NEUROCOMPUTING (2018)
Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies Article ISI SCOPUS BEHAVIOURAL NEUROLOGY (2018)
Redefining nearest neighbor classification in high-dimensional settings Article ISI SCOPUS Pattern Recognition Letters (2018)
Robust twin support vector regression via second-order cone programming Article ISI SCOPUS Knowledge-Based Systems (2018)
A robust formulation for twin multiclass support vector machine Article ISI SCOPUS APPLIED INTELLIGENCE (2017)
Application of the sequential parametric convex approximation method to the design of robust trusses Canelas, Alfredo Article ISI SCOPUS JOURNAL OF GLOBAL OPTIMIZATION (2017)
Construction of proximal distances over symmetric cones Quiroz E.A.P. Article ISI SCOPUS OPTIMIZATION (2017)
Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty Article ISI SCOPUS APPLIED INTELLIGENCE (2017)
Group-penalized feature selection and robust twin SVM classification via second-order cone programming Article ISI SCOPUS NEUROCOMPUTING (2017)
Integrated framework for profit-based feature selection and SVM classification in credit scoring Article ISI SCOPUS Decision Support Systems (2017)
Robust kernel-based multiclass support vector machines via second-order cone programming Article ISI SCOPUS APPLIED INTELLIGENCE (2017)
Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines Article ISI SCOPUS Journal of the Operational Research Society (2017)
Synchronized feature selection for Support Vector Machines with twin hyperplanes Article ISI SCOPUS Knowledge-Based Systems (2017)
A novel multi-class SVM model using second-order cone constraints Lopez J.; Maldonado S.; Carrasco M. Article ISI SCOPUS APPLIED INTELLIGENCE (2016)
A second-order cone programming formulation for nonparallel hyperplane support vector machine Carrasco M.; Lopez J.; Maldonado S. Article ISI SCOPUS EXPERT SYSTEMS WITH APPLICATIONS (2016)
Interior proximal bundle algorithm with variable metric for nonsmooth convex symmetric cone programming Article ISI SCOPUS OPTIMIZATION (2016)
Multi-class second-order cone programming support vector machines Lpez, Julio; Maldonado, Sebastin Article ISI SCOPUS Information Sciences (2016)
A multi-class SVM approach based on the l(1)-norm minimization of the distances between the reduced convex hulls Carrasco M.; Lopez J.; Maldonado S. Article ISI SCOPUS Pattern Recognition (2015)
An embedded feature selection approach for support vector classification via second-order cone programming Maldonado, Sebastin; Lpez, Julio Article ISI SCOPUS Intelligent Data Analysis (2015)
Robust feature selection for multiclass Support Vector Machines using second-order cone programming Lpez, Julio; Maldonado, Sebastin; Bravo, Cristin; Davison, Matt; Weber, Richard Article ISI SCOPUS Intelligent Data Analysis (2015)
A Note on the Paper Linear Complementarity Problems Over Symmetric Cones: Characterization of Qb-Transformations and Existence Results Lopez J.; Lopez R.; Ramirez H. Article ISI SCOPUS JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS (2014)
Alternative second-order cone programming formulations for support vector classification Maldonado S.; Lopez J. Article ISI SCOPUS Information Sciences (2014)
Imbalanced data classification using second-order cone programming support vector machines Maldonado, Sebastin; Lpez, Julio Article ISI Pattern Recognition (2014)
Linear Complementarity Problems over Symmetric Cones: Characterization of Q(b)-transformations and Existence Results Lopez J.; Lopez R.; Ramirez, HC Article ISI SCOPUS Journal of Optimization Theory and Applications (2013)
Support vector machine under uncertainty: An application for hydroacoustic classification of fish-schools in Chile Bosch P.; Lopez J.; Ramirez H.; Robotham H. Article ISI SCOPUS Expert Systems with Applications (2013)
Characterizing Q-linear transformations for semidefinite linear complementarity problems Lopez J.; Lopez R.; Héctor Ramírez C. Article ISI SCOPUS Nonlinear Analysis, Theory, Methods and Applications (2012)
Convergence to the Optimal Value for Barrier Methods Combined with Hessian Riemannian Gradient Flows and Generalized Proximal Algorithms Alvarez F.; Lopez J. Article ISI SCOPUS Journal of Convex Analysis (2010)
Interior proximal algorithm with variable metric for second-order cone programming: applications to structural optimization and support vector machines Alvarez F.; Lopez J.; Ramirez, Ch Article ISI SCOPUS Optimization Methods and Software (2010)
ON THE CENTRAL PATHS AND CAUCHY TRAJECTORIES IN SEMIDEFINITE PROGRAMMING Lopez J.; Ramirez H. Article ISI KYBERNETIKA (2010)


Improving out-of-time predictive performance in business analytics via robust optimization and profit metrics Perez, Juan Proyecto (2020)
Optimization methods applied to support vector machine classification Carrasco, Miguel; Bosch, Paul Proyecto (2020)