Sebastián Maldonado

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 71

Top Topics

Feature Selection

Top Venues

Expert Syst. Appl.

Intell. Data Anal.

Publications

Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, Kazim Topuz
Explainable AI for enhanced decision-making. Decis. Support Syst. 184 (2024)
Carla Vairetti, Franco Gennaro, Sebastián Maldonado
Propensity score oversampling and matching for uplift modeling. Eur. J. Oper. Res. 316 (3) (2024)
Enrique Riveros, Carla Vairetti, Christian Wegmann, Santiago Truffa, Sebastián Maldonado
Scalable Property Valuation Models via Graph-based Deep Learning. CoRR (2024)
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, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317 (2) (2024)
Sebastián Maldonado, Gonzalo Escuder, Andrés Seré, Leonardo Steinfeld
Open-Source Cellular IoT Technologies Coverage Data Collection System for Precision Agriculture. LASCAS (2024)
Carla Vairetti, Ignacio Aránguiz, Sebastián Maldonado, Juan Pablo Karmy, Alonso Leal
Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making. Eur. J. Oper. Res. 312 (3) (2024)
Carla Vairetti, José Luis Assadi, Sebastián Maldonado
Efficient hybrid oversampling and intelligent undersampling for imbalanced big data classification. Expert Syst. Appl. 246 (2024)
Sebastián Maldonado, Carla Vairetti, Katherine Jara, Miguel Carrasco, Julio López
OWAdapt: An adaptive loss function for deep learning using OWA operators. Knowl. Based Syst. 280 (2023)
Nuria Gómez-Vargas, Sebastián Maldonado, Carla Vairetti
A predict-and-optimize approach to profit-driven churn prevention. CoRR (2023)
Sebastián Maldonado, Carla Vairetti, Ignacio Figueroa
Automatic learning algorithm selection for classification via convolutional neural networks. CoRR (2023)
Sebastián Maldonado, Ramiro Saltos, Carla Vairetti, José Delpiano
Mitigating the effect of dataset shift in clustering. Pattern Recognit. 134 (2023)
Verónica Díaz, Ricardo Montoya, Sebastián Maldonado
Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach. Eur. J. Oper. Res. 304 (2) (2023)
Camila González, César A. Astudillo, Xaviera A. López-Cortés, Sebastián Maldonado
Semi-supervised learning for MALDI-TOF mass spectrometry data classification: an application in the salmon industry. Neural Comput. Appl. 35 (13) (2023)
Carla Vairetti, José Luis Assadi, Sebastián Maldonado
Efficient Hybrid Oversampling and Intelligent Undersampling for Imbalanced Big Data Classification. CoRR (2023)
Ramiro Saltos, Sebastián Maldonado
Case Article - School Timetabling Problem: A Scheduling Problem for High-School Institutions. INFORMS Trans. Educ. 24 (1) (2023)
Sebastián Maldonado, Carla Vairetti, Katherine Jara, Miguel Carrasco, Julio López
OWAdapt: An adaptive loss function for deep learning using OWA operators. CoRR (2023)
Ramiro Saltos, Sebastián Maldonado
Case - School Timetabling Problem: A Scheduling Problem for High-School Institutions. INFORMS Trans. Educ. 24 (1) (2023)
Juan Pablo Karmy, Julio López, Sebastián Maldonado
Pooling information across levels in hierarchical time series forecasting via Kernel methods. Expert Syst. Appl. 213 (Part) (2023)
Sebastián Maldonado, Julio López, Miguel Carrasco
The Cobb-Douglas Learning Machine. Pattern Recognit. 128 (2022)
Sebastián Maldonado, Carla Vairetti, Alberto Fernández, Francisco Herrera
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification. Pattern Recognit. 124 (2022)
Catalina Sánchez, Sebastián Maldonado, Carla Vairetti
Improving debt collection via contact center information: A predictive analytics framework. Decis. Support Syst. 159 (2022)
Angeles Aldunate, Sebastián Maldonado, Carla Vairetti, Guillermo Armelini
Understanding customer satisfaction via deep learning and natural language processing. Expert Syst. Appl. 209 (2022)
Sebastián Maldonado, Julio López, Andrés Iturriaga
Out-of-time cross-validation strategies for classification in the presence of dataset shift. Appl. Intell. 52 (5) (2022)
Sebastián Maldonado, Jaime Miranda, Diego Olaya, Jonathan Vásquez, Wouter Verbeke
Redefining profit metrics for boosting student retention in higher education. Decis. Support Syst. 143 (2021)
Jorge Hochstetter, Carla Vairetti, Carlos Cares, Mauricio García Ojeda, Sebastián Maldonado
A Transparency Maturity Model for Government Software Tenders. IEEE Access 9 (2021)
Juan Pablo Karmy, Julio López, Sebastián Maldonado
Simultaneous model construction and noise reduction for hierarchical time series via Support Vector Regression. Knowl. Based Syst. 232 (2021)
Asunción Jiménez-Cordero, Sebastián Maldonado
Automatic feature scaling and selection for support vector machine classification with functional data. Appl. Intell. 51 (1) (2021)
Xaviera A. López-Cortés, César A. Astudillo, Camila González, Sebastián Maldonado
Semi-supervised learning for MS MALDI-TOF data. LA-CCI (2021)
Maximiliano García, Sebastián Maldonado, Carla Vairetti
Efficient n-gram construction for text categorization using feature selection techniques. Intell. Data Anal. 25 (3) (2021)
María Elisa Irarrázaval, Sebastián Maldonado, Juan Pérez, Carla Vairetti
Telecom traffic pumping analytics via explainable data science. Decis. Support Syst. 150 (2021)
Sebastián Maldonado, Julio López, Carla Vairetti
Time-weighted Fuzzy Support Vector Machines for classification in changing environments. Inf. Sci. 559 (2021)
Sebastián Maldonado, Julio López, Angel Jiménez Molina, Hernan Lira
Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment. Expert Syst. Appl. 143 (2020)
Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado
The foundations of cost-sensitive causal classification. CoRR (2020)
Sebastián Maldonado, Georg Peters, Richard Weber
Credit scoring using three-way decisions with probabilistic rough sets. Inf. Sci. 507 (2020)
Sebastián Maldonado, José M. Merigó, Jaime Miranda
IOWA-SVM: A Density-Based Weighting Strategy for SVM Classification via OWA Operators. IEEE Trans. Fuzzy Syst. 28 (9) (2020)
Jorge Rosales-Salas, Sebastián Maldonado, Alex Seret
Mining sequences in activities for time use analysis. Intell. Data Anal. 24 (2) (2020)
Carla Vairetti, Eugenio Martínez-Cámara, Sebastián Maldonado, M. Victoria Luzón, Francisco Herrera
Enhancing the classification of social media opinions by optimizing the structural information. Future Gener. Comput. Syst. 102 (2020)
José Manuel Valente, Sebastián Maldonado
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression. Expert Syst. Appl. 160 (2020)
Diego Olaya, Jonathan Vásquez, Sebastián Maldonado, Jaime Miranda, Wouter Verbeke
Uplift Modeling for preventing student dropout in higher education. Decis. Support Syst. 134 (2020)
Sebastián Maldonado, Julio López, Carla Vairetti
Profit-based churn prediction based on Minimax Probability Machines. Eur. J. Oper. Res. 284 (1) (2020)
Miguel Carrasco, Julio López, Sebastián Maldonado
Epsilon-nonparallel support vector regression. Appl. Intell. 49 (12) (2019)
Juan Pablo Karmy, Sebastián Maldonado
Hierarchical time series forecasting via Support Vector Regression in the European Travel Retail Industry. Expert Syst. Appl. 137 (2019)
Sebastián Maldonado, Julio López, Carla Vairetti
An alternative SMOTE oversampling strategy for high-dimensional datasets. Appl. Soft Comput. 76 (2019)
Julio López, Sebastián Maldonado
Profit-based credit scoring based on robust optimization and feature selection. Inf. Sci. 500 (2019)
Sebastián Maldonado, Miguel Carrasco, Julio López
Regularized minimax probability machine. Knowl. Based Syst. 177 (2019)
Sebastián Maldonado, Rosa G. González-Ramírez, Francisca Quijada, Adrian Ramirez Nafarrate
Analytics meets port logistics: A decision support system for container stacking operations. Decis. Support Syst. 121 (2019)
Julio López, Sebastián Maldonado, Miguel Carrasco
Robust nonparallel support vector machines via second-order cone programming. Neurocomputing 364 (2019)
Sebastián Maldonado, Agustín González, Sven F. Crone
Automatic time series analysis for electric load forecasting via support vector regression. Appl. Soft Comput. 83 (2019)
Julio López, Sebastián Maldonado
Robust twin support vector regression via second-order cone programming. Knowl. Based Syst. 152 (2018)
Julio López, Sebastián Maldonado, Miguel Carrasco
Double regularization methods for robust feature selection and SVM classification via DC programming. Inf. Sci. 429 (2018)
Julio López, Sebastián Maldonado
Redefining nearest neighbor classification in high-dimensional settings. Pattern Recognit. Lett. 110 (2018)
Jorge Rosales-Salas, Sebastián Maldonado, Alex Seret
Understanding time use via data mining: A clustering-based framework. Intell. Data Anal. 22 (3) (2018)
Sebastián Maldonado, Julio López
Ellipsoidal support vector regression based on second-order cone programming. Neurocomputing 305 (2018)
Sebastián Maldonado, José M. Merigó, Jaime Miranda
Redefining support vector machines with the ordered weighted average. Knowl. Based Syst. 148 (2018)
Sebastián Maldonado, Julio López
Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification. Appl. Soft Comput. 67 (2018)
Sebastián Maldonado, Julio López
Robust kernel-based multiclass support vector machines via second-order cone programming. Appl. Intell. 46 (4) (2017)
Julio López, Sebastián Maldonado, Miguel Carrasco
A robust formulation for twin multiclass support vector machine. Appl. Intell. 47 (4) (2017)
Sebastián Maldonado, Cristián Bravo, Julio López, Juan Pérez
Integrated framework for profit-based feature selection and SVM classification in credit scoring. Decis. Support Syst. 104 (2017)
Ramiro Saltos, Richard Weber, Sebastián Maldonado
Dynamic Rough-Fuzzy Support Vector Clustering. IEEE Trans. Fuzzy Syst. 25 (6) (2017)
Sebastián Maldonado, Guillermo Armelini, Cristian Angelo Guevara
Assessing university enrollment and admission efforts via hierarchical classification and feature selection. Intell. Data Anal. 21 (4) (2017)
Sebastián Maldonado, Julio López
Synchronized feature selection for Support Vector Machines with twin hyperplanes. Knowl. Based Syst. 132 (2017)
Sebastián Maldonado, Juan Pérez, Cristián Bravo
Cost-based feature selection for Support Vector Machines: An application in credit scoring. Eur. J. Oper. Res. 261 (2) (2017)
Julio López, Sebastián Maldonado
Group-penalized feature selection and robust twin SVM classification via second-order cone programming. Neurocomputing 235 (2017)
Sebastián Maldonado, Ricardo Montoya, Julio López
Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty. Appl. Intell. 46 (4) (2017)
Julio López, Sebastián Maldonado, Ricardo Montoya
Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines. J. Oper. Res. Soc. 68 (11) (2017)
Richard Weber, Cristián Bravo, Rudolf Kruse, Sebastián Maldonado
Special issue "Applied soft computing for business analytics". Appl. Soft Comput. 60 (2017)
Bing Zhu, Seppe vanden Broucke, Bart Baesens, Sebastián Maldonado
Improving Resampling-based Ensemble in Churn Prediction. LIDTA@PKDD/ECML (2017)
Julio López, Sebastián Maldonado, Miguel Carrasco
A novel multi-class SVM model using second-order cone constraints. Appl. Intell. 44 (2) (2016)
Sebastián Maldonado, Julio López, Miguel Carrasco
A second-order cone programming formulation for twin support vector machines. Appl. Intell. 45 (2) (2016)
Julio López, Sebastián Maldonado
Multi-class second-order cone programming support vector machines. Inf. Sci. 330 (2016)
Miguel Carrasco, Julio López, Sebastián Maldonado
A second-order cone programming formulation for nonparallel hyperplane support vector machine. Expert Syst. Appl. 54 (2016)
Alex Seret, Sebastián Maldonado, Bart Baesens
Identifying next relevant variables for segmentation by using feature selection approaches. Expert Syst. Appl. 42 (15-16) (2015)
Sebastián Maldonado, Emilio Carrizosa, Richard Weber
Kernel Penalized K-means: A feature selection method based on Kernel K-means. Inf. Sci. 322 (2015)
Miguel Carrasco, Julio López, Sebastián Maldonado
-norm minimization of the distances between the reduced convex hulls. Pattern Recognit. 48 (5) (2015)
Sebastián Maldonado, Ricardo Montoya, Richard Weber
Advanced conjoint analysis using feature selection via support vector machines. Eur. J. Oper. Res. 241 (2) (2015)
Sebastián Maldonado
Churn prediction via support vector classification: An empirical comparison. Intell. Data Anal. 19 (s1) (2015)
Julio López, Sebastián Maldonado
Robust feature selection for multiclass Support Vector Machines using second-order cone programming. Intell. Data Anal. 19 (s1) (2015)
Sebastián Maldonado, Álvaro Flores, Thomas Verbraken, Bart Baesens, Richard Weber
Profit-based feature selection using support vector machines - General framework and an application for customer retention. Appl. Soft Comput. 35 (2015)
Cristián Bravo, Sebastián Maldonado
Fieller Stability Measure: a novel model-dependent backtesting approach. J. Oper. Res. Soc. 66 (11) (2015)
Sebastián Maldonado, Julio López
An embedded feature selection approach for support vector classification via second-order cone programming. Intell. Data Anal. 19 (6) (2015)
Sebastián Maldonado, Juan Pérez, Richard Weber, Martine Labbé
Feature selection for Support Vector Machines via Mixed Integer Linear Programming. Inf. Sci. 279 (2014)
Sebastián Maldonado, Claudio Montecinos
Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers. Intell. Data Anal. 18 (1) (2014)
Sebastián Maldonado, Richard Weber, Fazel Famili
Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines. Inf. Sci. 286 (2014)
Sebastián Maldonado, Julio López
Alternative second-order cone programming formulations for support vector classification. Inf. Sci. 268 (2014)
Sebastián Maldonado, Julio López
Imbalanced data classification using second-order cone programming support vector machines. Pattern Recognit. 47 (5) (2014)
Cristián Bravo, Sebastián Maldonado, Richard Weber
Granting and managing loans for micro-entrepreneurs: New developments and practical experiences. Eur. J. Oper. Res. 227 (2) (2013)
Sebastián Maldonado, Gaston L'Huillier
Embedded Feature Selection for Spam and Phishing Filtering using Support Vector Machines. ICPRAM (2) (2012)
Sebastián Maldonado, Richard Weber
Embedded Feature Selection for Support Vector Machines: State-of-the-Art and Future Challenges. CIARP (2011)
Donald E. Brown, Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo Baeza-Yates, Cristián Bravo, Gaston L'Huillier, Sebastián Maldonado
Future trends in business analytics and optimization. Intell. Data Anal. 15 (6) (2011)
Sebastián Maldonado, Richard Weber, Jayanta Basak
Simultaneous feature selection and classification using kernel-penalized support vector machines. Inf. Sci. 181 (1) (2011)
Sebastián Maldonado, Gonzalo Paredes
A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs. ICDM (2010)
Sebastián Maldonado, Richard Weber
Feature selection for support vector regression via Kernel penalization. IJCNN (2010)
Sebastián Maldonado, Richard Weber
A wrapper method for feature selection using Support Vector Machines. Inf. Sci. 179 (13) (2009)