A wrapper method for feature selection using Support Vector Machines. - Sebastián Maldonado 001; Richard Weber 002 (Inf. Sci., 2009)

Feature selection for support vector regression via Kernel penalization. - Sebastián Maldonado 001; Richard Weber 002 (IJCNN, 2010)

A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs. - Sebastián Maldonado 001; Gonzalo Paredes (ICDM, 2010)

Embedded Feature Selection for Support Vector Machines: State-of-the-Art and Future Challenges. - Sebastián Maldonado 001; Richard Weber 002 (CIARP, 2011)

Future trends in business analytics and optimization. - Donald E. Brown; Fazel Famili; Gerhard Paass; Kate Smith-Miles; Lyn C. Thomas; Richard Weber 002; Ricardo Baeza-Yates; Cristián Bravo; Gaston L'Huillier; Sebastián Maldonado 001 (Intell. Data Anal., 2011)

Simultaneous feature selection and classification using kernel-penalized support vector machines. - Sebastián Maldonado 001; Richard Weber 002; Jayanta Basak (Inf. Sci., 2011)

Embedded Feature Selection for Spam and Phishing Filtering using Support Vector Machines. - Sebastián Maldonado 001; Gaston L'Huillier (ICPRAM (2), 2012)

Granting and managing loans for micro-entrepreneurs: New developments and practical experiences. - Cristián Bravo; Sebastián Maldonado 001; Richard Weber 002 (Eur. J. Oper. Res., 2013)

Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers. - Sebastián Maldonado 001; Claudio Montecinos (Intell. Data Anal., 2014)

Alternative second-order cone programming formulations for support vector classification. - Sebastián Maldonado 001; Julio López 001 (Inf. Sci., 2014)

Feature selection for Support Vector Machines via Mixed Integer Linear Programming. - Sebastián Maldonado 001; Juan Pérez; Richard Weber 002; Martine Labbé (Inf. Sci., 2014)

Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines. - Sebastián Maldonado 001; Richard Weber 002; Fazel Famili (Inf. Sci., 2014)

Imbalanced data classification using second-order cone programming support vector machines. - Sebastián Maldonado 001; Julio López 001 (Pattern Recognit., 2014)

Profit-based feature selection using support vector machines - General framework and an application for customer retention. - Sebastián Maldonado 001; Álvaro Flores; Thomas Verbraken; Bart Baesens; Richard Weber 002 (Appl. Soft Comput., 2015)

Advanced conjoint analysis using feature selection via support vector machines. - Sebastián Maldonado 001; Ricardo Montoya; Richard Weber 002 (Eur. J. Oper. Res., 2015)

Identifying next relevant variables for segmentation by using feature selection approaches. - Alex Seret; Sebastián Maldonado 001; Bart Baesens (Expert Syst. Appl., 2015)

Robust feature selection for multiclass Support Vector Machines using second-order cone programming. - Julio López 001; Sebastián Maldonado 001 (Intell. Data Anal., 2015)

Churn prediction via support vector classification: An empirical comparison. - Sebastián Maldonado 001 (Intell. Data Anal., 2015)

An embedded feature selection approach for support vector classification via second-order cone programming. - Sebastián Maldonado 001; Julio López 001 (Intell. Data Anal., 2015)

Kernel Penalized K-means: A feature selection method based on Kernel K-means. - Sebastián Maldonado 001; Emilio Carrizosa; Richard Weber 002 (Inf. Sci., 2015)

Fieller Stability Measure: a novel model-dependent backtesting approach. - Cristián Bravo; Sebastián Maldonado 001 (J. Oper. Res. Soc., 2015)

A multi-class SVM approach based on the l1-norm minimization of the distances between the reduced convex hulls. - Miguel Carrasco; Julio López 001; Sebastián Maldonado 001 (Pattern Recognit., 2015)

A novel multi-class SVM model using second-order cone constraints. - Julio López 001; Sebastián Maldonado 001; Miguel Carrasco (Appl. Intell., 2016)

A second-order cone programming formulation for twin support vector machines. - Sebastián Maldonado 001; Julio López 001; Miguel Carrasco (Appl. Intell., 2016)

A second-order cone programming formulation for nonparallel hyperplane support vector machine. - Miguel Carrasco; Julio López 001; Sebastián Maldonado 001 (Expert Syst. Appl., 2016)

Multi-class second-order cone programming support vector machines. - Julio López 001; Sebastián Maldonado 001 (Inf. Sci., 2016)

Improving Resampling-based Ensemble in Churn Prediction. - Bing Zhu 005; Seppe vanden Broucke; Bart Baesens; Sebastián Maldonado 001 (LIDTA@PKDD/ECML, 2017)

A robust formulation for twin multiclass support vector machine. - Julio López 001; Sebastián Maldonado 001; Miguel Carrasco (Appl. Intell., 2017)

Robust kernel-based multiclass support vector machines via second-order cone programming. - Sebastián Maldonado 001; Julio López 001 (Appl. Intell., 2017)

Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty. - Sebastián Maldonado 001; Ricardo Montoya; Julio López 001 (Appl. Intell., 2017)

Special issue "Applied soft computing for business analytics". - Richard Weber 002; Cristián Bravo; Rudolf Kruse; Sebastián Maldonado 001 (Appl. Soft Comput., 2017)

Integrated framework for profit-based feature selection and SVM classification in credit scoring. - Sebastián Maldonado 001; Cristián Bravo; Julio López 001; Juan Pérez (Decis. Support Syst., 2017)

Cost-based feature selection for Support Vector Machines: An application in credit scoring. - Sebastián Maldonado 001; Juan Pérez; Cristián Bravo (Eur. J. Oper. Res., 2017)

Assessing university enrollment and admission efforts via hierarchical classification and feature selection. - Sebastián Maldonado 001; Guillermo Armelini; Cristian Angelo Guevara (Intell. Data Anal., 2017)

Group-penalized feature selection and robust twin SVM classification via second-order cone programming. - Julio López 001; Sebastián Maldonado 001 (Neurocomputing, 2017)

Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines. - Julio López 001; Sebastián Maldonado 001; Ricardo Montoya (J. Oper. Res. Soc., 2017)

Synchronized feature selection for Support Vector Machines with twin hyperplanes. - Sebastián Maldonado 001; Julio López 001 (Knowl. Based Syst., 2017)

Dynamic Rough-Fuzzy Support Vector Clustering. - Ramiro Saltos; Richard Weber 002; Sebastián Maldonado 001 (IEEE Trans. Fuzzy Syst., 2017)

Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification. - Sebastián Maldonado 001; Julio López 001 (Appl. Soft Comput., 2018)

Understanding time use via data mining: A clustering-based framework. - Jorge Rosales-Salas; Sebastián Maldonado 001; Alex Seret (Intell. Data Anal., 2018)

Ellipsoidal support vector regression based on second-order cone programming. - Sebastián Maldonado 001; Julio López 001 (Neurocomputing, 2018)

Double regularization methods for robust feature selection and SVM classification via DC programming. - Julio López 001; Sebastián Maldonado 001; Miguel Carrasco (Inf. Sci., 2018)

Robust twin support vector regression via second-order cone programming. - Julio López 001; Sebastián Maldonado 001 (Knowl. Based Syst., 2018)

Redefining support vector machines with the ordered weighted average. - Sebastián Maldonado 001; José M. Merigó; Jaime Miranda (Knowl. Based Syst., 2018)

Redefining nearest neighbor classification in high-dimensional settings. - Julio López 001; Sebastián Maldonado 001 (Pattern Recognit. Lett., 2018)

Epsilon-nonparallel support vector regression. - Miguel Carrasco; Julio López 001; Sebastián Maldonado 001 (Appl. Intell., 2019)

Automatic time series analysis for electric load forecasting via support vector regression. - Sebastián Maldonado 001; Agustín González; Sven F. Crone (Appl. Soft Comput., 2019)

An alternative SMOTE oversampling strategy for high-dimensional datasets. - Sebastián Maldonado 001; Julio López 001; Carla Vairetti (Appl. Soft Comput., 2019)

Analytics meets port logistics: A decision support system for container stacking operations. - Sebastián Maldonado 001; Rosa G. González-Ramírez; Francisca Quijada; Adrian Ramirez-Nafarrate (Decis. Support Syst., 2019)

Hierarchical time series forecasting via Support Vector Regression in the European Travel Retail Industry. - Juan Pablo Karmy; Sebastián Maldonado 001 (Expert Syst. Appl., 2019)

Robust nonparallel support vector machines via second-order cone programming. - Julio López 001; Sebastián Maldonado 001; Miguel Carrasco (Neurocomputing, 2019)

Profit-based credit scoring based on robust optimization and feature selection. - Julio López 001; Sebastián Maldonado 001 (Inf. Sci., 2019)

Regularized minimax probability machine. - Sebastián Maldonado 001; Miguel Carrasco; Julio López 001 (Knowl. Based Syst., 2019)

The foundations of cost-sensitive causal classification. - Wouter Verbeke; Diego Olaya; Jeroen Berrevoets; Sebastián Maldonado 001 (CoRR, 2020)

Uplift Modeling for preventing student dropout in higher education. - Diego Olaya; Jonathan Vásquez; Sebastián Maldonado 001; Jaime Miranda; Wouter Verbeke (Decis. Support Syst., 2020)

Profit-based churn prediction based on Minimax Probability Machines. - Sebastián Maldonado 001; Julio López 001; Carla Vairetti (Eur. J. Oper. Res., 2020)

Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment. - Sebastián Maldonado 001; Julio López 001; Angel Jiménez Molina; Hernan Lira (Expert Syst. Appl., 2020)

SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression. - José Manuel Valente; Sebastián Maldonado 001 (Expert Syst. Appl., 2020)

Enhancing the classification of social media opinions by optimizing the structural information. - Carla Vairetti; Eugenio Martínez-Cámara; Sebastián Maldonado 001; María Victoria Luzón; Francisco Herrera (Future Gener. Comput. Syst., 2020)

Mining sequences in activities for time use analysis. - Jorge Rosales-Salas; Sebastián Maldonado 001; Alex Seret (Intell. Data Anal., 2020)

Credit scoring using three-way decisions with probabilistic rough sets. - Sebastián Maldonado 001; Georg Peters; Richard Weber 002 (Inf. Sci., 2020)

IOWA-SVM: A Density-Based Weighting Strategy for SVM Classification via OWA Operators. - Sebastián Maldonado 001; José M. Merigó; Jaime Miranda (IEEE Trans. Fuzzy Syst., 2020)

Semi-supervised learning for MS MALDI-TOF data. - Xaviera A. López-Cortés; César A. Astudillo; Camila González; Sebastián Maldonado 001 (LA-CCI, 2021)

A Transparency Maturity Model for Government Software Tenders. - Jorge Hochstetter; Carla Vairetti; Carlos Cares; Mauricio García Ojeda; Sebastián Maldonado 001 (IEEE Access, 2021)

Automatic feature scaling and selection for support vector machine classification with functional data. - Asunción Jiménez-Cordero; Sebastián Maldonado 001 (Appl. Intell., 2021)

Telecom traffic pumping analytics via explainable data science. - María Elisa Irarrázaval; Sebastián Maldonado 001; Juan Pérez; Carla Vairetti (Decis. Support Syst., 2021)

Redefining profit metrics for boosting student retention in higher education. - Sebastián Maldonado 001; Jaime Miranda; Diego Olaya; Jonathan Vásquez; Wouter Verbeke (Decis. Support Syst., 2021)

Efficient n-gram construction for text categorization using feature selection techniques. - Maximiliano García; Sebastián Maldonado 001; Carla Vairetti (Intell. Data Anal., 2021)

Time-weighted Fuzzy Support Vector Machines for classification in changing environments. - Sebastián Maldonado 001; Julio López 001; Carla Vairetti (Inf. Sci., 2021)

Simultaneous model construction and noise reduction for hierarchical time series via Support Vector Regression. - Juan Pablo Karmy; Julio López 001; Sebastián Maldonado 001 (Knowl. Based Syst., 2021)

Out-of-time cross-validation strategies for classification in the presence of dataset shift. - Sebastián Maldonado 001; Julio López 001; Andrés Iturriaga (Appl. Intell., 2022)

Improving debt collection via contact center information: A predictive analytics framework. - Catalina Sánchez; Sebastián Maldonado 001; Carla Vairetti (Decis. Support Syst., 2022)

Understanding customer satisfaction via deep learning and natural language processing. - Angeles Aldunate; Sebastián Maldonado 001; Carla Vairetti; Guillermo Armelini (Expert Syst. Appl., 2022)

The Cobb-Douglas Learning Machine. - Sebastián Maldonado 001; Julio López 001; Miguel Carrasco (Pattern Recognit., 2022)

FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification. - Sebastián Maldonado 001; Carla Vairetti; Alberto Fernández 001; Francisco Herrera (Pattern Recognit., 2022)

Automatic learning algorithm selection for classification via convolutional neural networks. - Sebastián Maldonado 001; Carla Vairetti; Ignacio Figueroa (CoRR, 2023)

Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach. - Verónica Díaz; Ricardo Montoya; Sebastián Maldonado 001 (Eur. J. Oper. Res., 2023)

Pooling information across levels in hierarchical time series forecasting via Kernel methods. - Juan Pablo Karmy; Julio López 001; Sebastián Maldonado 001 (Expert Syst. Appl., 2023)

Case Article - School Timetabling Problem: A Scheduling Problem for High-School Institutions. - Ramiro Saltos; Sebastián Maldonado 001 (INFORMS Trans. Educ., 2023)

Case - School Timetabling Problem: A Scheduling Problem for High-School Institutions. - Ramiro Saltos; Sebastián Maldonado 001 (INFORMS Trans. Educ., 2023)

Mitigating the effect of dataset shift in clustering. - Sebastián Maldonado 001; Ramiro Saltos; Carla Vairetti; José Delpiano (Pattern Recognit., 2023)

Semi-supervised learning for MALDI-TOF mass spectrometry data classification: an application in the salmon industry. - Camila González; César A. Astudillo; Xaviera A. López-Cortés; Sebastián Maldonado 001 (Neural Comput. Appl., 2023)

OWAdapt: An adaptive loss function for deep learning using OWA operators. - Sebastián Maldonado 001; Carla Vairetti; Katherine Jara; Miguel Carrasco; Julio López 001 (Knowl. Based Syst., 2023)

Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching. - Carla Vairetti; María José Marfán; Sebastián Maldonado 001 (IEEE Access, 2024)

Designing employee benefits to optimize turnover: A prescriptive analytics approach. - Paolo Latorre; Héctor A. López-Ospina; Sebastián Maldonado 001; C. Angelo Guevara; Juan Pérez (Comput. Ind. Eng., 2024)

Scalable Property Valuation Models via Graph-based Deep Learning. - Enrique Riveros; Carla Vairetti; Christian Wegmann; Santiago Truffa; Sebastián Maldonado 001 (CoRR, 2024)

Explainable AI for enhanced decision-making. - Kristof Coussement; Mohammad Zoynul Abedin; Mathias Kraus; Sebastián Maldonado 001; Kazim Topuz (Decis. Support Syst., 2024)

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. - Koen W. De Bock; Kristof Coussement; Arno De Caigny; Roman Slowinski; Bart Baesens; Robert N. Boute; Tsan-Ming Choi; Dursun Delen; Mathias Kraus; Stefan Lessmann; Sebastián Maldonado 001; David Martens; et al. (Eur. J. Oper. Res., 2024)

Propensity score oversampling and matching for uplift modeling. - Carla Vairetti; Franco Gennaro; Sebastián Maldonado 001 (Eur. J. Oper. Res., 2024)

Efficient hybrid oversampling and intelligent undersampling for imbalanced big data classification. - Carla Vairetti; José Luis Assadi; Sebastián Maldonado 001 (Expert Syst. Appl., 2024)

Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making. - Carla Vairetti; Ignacio Aránguiz; Sebastián Maldonado 001; Juan Pablo Karmy; Alonso Leal (Eur. J. Oper. Res., 2024)

Improving incentive policies to salespeople cross-sells: a cost-sensitive uplift modeling approach. - Carla Vairetti; Raimundo Vargas; Catalina Sánchez; Andrés García; Guillermo Armelini; Sebastián Maldonado 001 (Neural Comput. Appl., 2024)

Bounded Individualized Treatment Effect: A Novel Approach for Uplift Modeling. - Catalina Sánchez; Carla Vairetti; Kristof Coussement; Sebastián Maldonado 001 (IEEE Access, 2025)

A predict-and-optimize approach to profit-driven churn prevention. - Nuria Gómez-Vargas; Sebastián Maldonado 001; Carla Vairetti (Eur. J. Oper. Res., 2025)

One-step learning algorithm selection for classification via convolutional neural networks. - Sebastián Maldonado 001; Carla Vairetti; Ignacio Figueroa (Inf. Sci., 2025)

Deep learning for crime analytics: A prioritization system for user reports from safety apps. - Carla Vairetti; Sebastián Maldonado 001; Richard Weber 002 (Expert Syst. Appl., 2026)

Bayes-optimal minimax probability machines. - Sebastián Maldonado 001; Julio López 001; Miguel Carrasco; Paul Bosch (Pattern Recognit., 2026)

Media analytics via machine learning: social media engagement prediction for TV channels. - Carla Vairetti; Juan Carlos Gubbins; Sebastián Alejandro Maldonado-Alarcón (Soc. Netw. Anal. Min., 2026)