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ORCIDSebastián Maldonado 0001
Sebastián Alejandro Maldonado-Alarcón
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- affiliation: University of Chile, School of Economics and Business, Department of Management Control and Information Systems, Santiago, Chile
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2020 – today
- 2026
[j88]Sebastián Maldonado
, Julio López, Miguel Carrasco, Paul Bosch:
Bayes-optimal minimax probability machines. Pattern Recognit. 171: 112068 (2026)- [j87]Carla Vairetti, Juan Carlos Gubbins, Sebastián Alejandro Maldonado-Alarcón:
Media analytics via machine learning: social media engagement prediction for TV channels. Soc. Netw. Anal. Min. 16(1): 38 (2026) - 2025
- [j86]Catalina Sánchez, Carla Vairetti, Kristof Coussement, Sebastián Maldonado:
Bounded Individualized Treatment Effect: A Novel Approach for Uplift Modeling. IEEE Access 13: 145599-145610 (2025) - [j85]Nuria Gómez-Vargas, Sebastián Maldonado, Carla Vairetti:
A predict-and-optimize approach to profit-driven churn prevention. Eur. J. Oper. Res. 324(2): 555-566 (2025) - [j84]Sebastián Maldonado, Carla Vairetti, Ignacio Figueroa:
One-step learning algorithm selection for classification via convolutional neural networks. Inf. Sci. 721: 122610 (2025) - 2024
- [j83]Carla Vairetti, María José Marfán, Sebastián Maldonado:
Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching. IEEE Access 12: 188993-189008 (2024) - [j82]Paolo Latorre, Héctor A. López-Ospina, Sebastián Maldonado, C. Angelo Guevara, Juan Pérez:
Designing employee benefits to optimize turnover: A prescriptive analytics approach. Comput. Ind. Eng. 197: 110582 (2024) - [j81]Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, Kazim Topuz:
Explainable AI for enhanced decision-making. Decis. Support Syst. 184: 114276 (2024) - [j80]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): 1108-1118 (2024) - [j79]Carla Vairetti, Franco Gennaro, Sebastián Maldonado:
Propensity score oversampling and matching for uplift modeling. Eur. J. Oper. Res. 316(3): 1058-1069 (2024) - [j78]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): 249-272 (2024) - [j77]Carla Vairetti, José Luis Assadi, Sebastián Maldonado:
Efficient hybrid oversampling and intelligent undersampling for imbalanced big data classification. Expert Syst. Appl. 246: 123149 (2024) - [j76]Carla Vairetti, Raimundo Vargas, Catalina Sánchez, Andrés García, Guillermo Armelini, Sebastián Maldonado:
Improving incentive policies to salespeople cross-sells: a cost-sensitive uplift modeling approach. Neural Comput. Appl. 36(28): 17541-17558 (2024) - [i6]Enrique Riveros, Carla Vairetti, Christian Wegmann, Santiago Truffa, Sebastián Maldonado:
Scalable Property Valuation Models via Graph-based Deep Learning. CoRR abs/2405.06553 (2024) - 2023
- [j75]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): 797-812 (2023) - [j74]Juan Pablo Karmy, Julio López, Sebastián Maldonado:
Pooling information across levels in hierarchical time series forecasting via Kernel methods. Expert Syst. Appl. 213(Part): 118830 (2023) - [j73]Ramiro Saltos, Sebastián Maldonado:
Case Article - School Timetabling Problem: A Scheduling Problem for High-School Institutions. INFORMS Trans. Educ. 24(1): 95-99 (2023) - [j72]Ramiro Saltos, Sebastián Maldonado:
Case - School Timetabling Problem: A Scheduling Problem for High-School Institutions. INFORMS Trans. Educ. 24(1): 100-102 (2023) - [j71]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: 111022 (2023) - [j70]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): 9381-9391 (2023) - [j69]Sebastián Maldonado, Ramiro Saltos, Carla Vairetti, José Delpiano:
Mitigating the effect of dataset shift in clustering. Pattern Recognit. 134: 109058 (2023) - [i5]Sebastián Maldonado, Carla Vairetti, Ignacio Figueroa:
Automatic learning algorithm selection for classification via convolutional neural networks. CoRR abs/2305.09101 (2023) - [i4]Sebastián Maldonado, Carla Vairetti, Katherine Jara, Miguel Carrasco, Julio López:
OWAdapt: An adaptive loss function for deep learning using OWA operators. CoRR abs/2305.19443 (2023) - [i3]Carla Vairetti, José Luis Assadi, Sebastián Maldonado:
Efficient Hybrid Oversampling and Intelligent Undersampling for Imbalanced Big Data Classification. CoRR abs/2310.05789 (2023) - [i2]Nuria Gómez-Vargas, Sebastián Maldonado, Carla Vairetti:
A predict-and-optimize approach to profit-driven churn prevention. CoRR abs/2310.07047 (2023) - 2022
- [j68]Sebastián Maldonado, Julio López, Andrés Iturriaga:
Out-of-time cross-validation strategies for classification in the presence of dataset shift. Appl. Intell. 52(5): 5770-5783 (2022) - [j67]Catalina Sánchez, Sebastián Maldonado, Carla Vairetti:
Improving debt collection via contact center information: A predictive analytics framework. Decis. Support Syst. 159: 113812 (2022) - [j66]Angeles Aldunate, Sebastián Maldonado, Carla Vairetti, Guillermo Armelini:
Understanding customer satisfaction via deep learning and natural language processing. Expert Syst. Appl. 209: 118309 (2022) - [j65]Sebastián Maldonado, Carla Vairetti, Alberto Fernández, Francisco Herrera:
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification. Pattern Recognit. 124: 108511 (2022) - [j64]Sebastián Maldonado, Julio López, Miguel Carrasco:
The Cobb-Douglas Learning Machine. Pattern Recognit. 128: 108701 (2022) - 2021
- [j63]Jorge Hochstetter, Carla Vairetti, Carlos Cares, Mauricio García Ojeda, Sebastián Maldonado:
A Transparency Maturity Model for Government Software Tenders. IEEE Access 9: 45668-45682 (2021) - [j62]Asunción Jiménez-Cordero, Sebastián Maldonado:
Automatic feature scaling and selection for support vector machine classification with functional data. Appl. Intell. 51(1): 161-184 (2021) - [j61]Sebastián Maldonado, Jaime Miranda, Diego Olaya, Jonathan Vásquez, Wouter Verbeke:
Redefining profit metrics for boosting student retention in higher education. Decis. Support Syst. 143: 113493 (2021) - [j60]María Elisa Irarrázaval, Sebastián Maldonado, Juan Pérez, Carla Vairetti:
Telecom traffic pumping analytics via explainable data science. Decis. Support Syst. 150: 113559 (2021) - [j59]Maximiliano García, Sebastián Maldonado, Carla Vairetti:
Efficient n-gram construction for text categorization using feature selection techniques. Intell. Data Anal. 25(3): 509-525 (2021) - [j58]Sebastián Maldonado, Julio López, Carla Vairetti:
Time-weighted Fuzzy Support Vector Machines for classification in changing environments. Inf. Sci. 559: 97-110 (2021) - [j57]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: 107492 (2021) - [c6]Xaviera A. López-Cortés, César A. Astudillo, Camila González, Sebastián Maldonado:
Semi-supervised learning for MS MALDI-TOF data. LA-CCI 2021: 1-4 - 2020
- [j56]Diego Olaya, Jonathan Vásquez, Sebastián Maldonado, Jaime Miranda, Wouter Verbeke:
Uplift Modeling for preventing student dropout in higher education. Decis. Support Syst. 134: 113320 (2020) - [j55]Sebastián Maldonado, Julio López, Carla Vairetti:
Profit-based churn prediction based on Minimax Probability Machines. Eur. J. Oper. Res. 284(1): 273-284 (2020) - [j54]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) - [j53]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: 113729 (2020) - [j52]Carla Vairetti, Eugenio Martínez-Cámara, Sebastián Maldonado, María Victoria Luzón, Francisco Herrera:
Enhancing the classification of social media opinions by optimizing the structural information. Future Gener. Comput. Syst. 102: 838-846 (2020) - [j51]Jorge Rosales-Salas, Sebastián Maldonado, Alex Seret:
Mining sequences in activities for time use analysis. Intell. Data Anal. 24(2): 339-362 (2020) - [j50]Sebastián Maldonado, Georg Peters, Richard Weber:
Credit scoring using three-way decisions with probabilistic rough sets. Inf. Sci. 507: 700-714 (2020) - [j49]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): 2143-2150 (2020) - [i1]Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado:
The foundations of cost-sensitive causal classification. CoRR abs/2007.12582 (2020)
2010 – 2019
- 2019
- [j48]Miguel Carrasco, Julio López, Sebastián Maldonado:
Epsilon-nonparallel support vector regression. Appl. Intell. 49(12): 4223-4236 (2019) - [j47]Sebastián Maldonado, Julio López, Carla Vairetti:
An alternative SMOTE oversampling strategy for high-dimensional datasets. Appl. Soft Comput. 76: 380-389 (2019) - [j46]Sebastián Maldonado, Agustín González, Sven F. Crone:
Automatic time series analysis for electric load forecasting via support vector regression. Appl. Soft Comput. 83 (2019) - [j45]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: 84-93 (2019) - [j44]Juan Pablo Karmy, Sebastián Maldonado:
Hierarchical time series forecasting via Support Vector Regression in the European Travel Retail Industry. Expert Syst. Appl. 137: 59-73 (2019) - [j43]Julio López, Sebastián Maldonado, Miguel Carrasco:
Robust nonparallel support vector machines via second-order cone programming. Neurocomputing 364: 227-238 (2019) - [j42]Julio López, Sebastián Maldonado:
Profit-based credit scoring based on robust optimization and feature selection. Inf. Sci. 500: 190-202 (2019) - [j41]Sebastián Maldonado, Miguel Carrasco, Julio López:
Regularized minimax probability machine. Knowl. Based Syst. 177: 127-135 (2019) - 2018
- [j40]Sebastián Maldonado, Julio López:
Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification. Appl. Soft Comput. 67: 94-105 (2018) - [j39]Jorge Rosales-Salas, Sebastián Maldonado, Alex Seret:
Understanding time use via data mining: A clustering-based framework. Intell. Data Anal. 22(3): 597-616 (2018) - [j38]Sebastián Maldonado, Julio López:
Ellipsoidal support vector regression based on second-order cone programming. Neurocomputing 305: 59-69 (2018) - [j37]Julio López, Sebastián Maldonado, Miguel Carrasco:
Double regularization methods for robust feature selection and SVM classification via DC programming. Inf. Sci. 429: 377-389 (2018) - [j36]Sebastián Maldonado, José M. Merigó, Jaime Miranda:
Redefining support vector machines with the ordered weighted average. Knowl. Based Syst. 148: 41-46 (2018) - [j35]Julio López, Sebastián Maldonado:
Robust twin support vector regression via second-order cone programming. Knowl. Based Syst. 152: 83-93 (2018) - [j34]Julio López, Sebastián Maldonado:
Redefining nearest neighbor classification in high-dimensional settings. Pattern Recognit. Lett. 110: 36-43 (2018) - 2017
- [j33]Sebastián Maldonado, Ricardo Montoya, Julio López:
Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty. Appl. Intell. 46(4): 775-787 (2017) - [j32]Sebastián Maldonado, Julio López:
Robust kernel-based multiclass support vector machines via second-order cone programming. Appl. Intell. 46(4): 983-992 (2017) - [j31]Julio López, Sebastián Maldonado, Miguel Carrasco:
A robust formulation for twin multiclass support vector machine. Appl. Intell. 47(4): 1031-1043 (2017) - [j30]Richard Weber, Cristián Bravo, Rudolf Kruse, Sebastián Maldonado:
Special issue "Applied soft computing for business analytics". Appl. Soft Comput. 60: 750-751 (2017) - [j29]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: 113-121 (2017) - [j28]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): 656-665 (2017) - [j27]Sebastián Maldonado, Guillermo Armelini, Cristian Angelo Guevara:
Assessing university enrollment and admission efforts via hierarchical classification and feature selection. Intell. Data Anal. 21(4): 945-962 (2017) - [j26]Julio López, Sebastián Maldonado:
Group-penalized feature selection and robust twin SVM classification via second-order cone programming. Neurocomputing 235: 112-121 (2017) - [j25]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): 1323-1334 (2017) - [j24]Sebastián Maldonado, Julio López:
Synchronized feature selection for Support Vector Machines with twin hyperplanes. Knowl. Based Syst. 132: 119-128 (2017) - [j23]Ramiro Saltos, Richard Weber, Sebastián Maldonado:
Dynamic Rough-Fuzzy Support Vector Clustering. IEEE Trans. Fuzzy Syst. 25(6): 1508-1521 (2017) - [c5]Bing Zhu, Seppe vanden Broucke, Bart Baesens, Sebastián Maldonado:
Improving Resampling-based Ensemble in Churn Prediction. LIDTA@PKDD/ECML 2017: 79-91 - 2016
- [j22]Julio López, Sebastián Maldonado, Miguel Carrasco:
A novel multi-class SVM model using second-order cone constraints. Appl. Intell. 44(2): 457-469 (2016) - [j21]Sebastián Maldonado, Julio López, Miguel Carrasco:
A second-order cone programming formulation for twin support vector machines. Appl. Intell. 45(2): 265-276 (2016) - [j20]Miguel Carrasco, Julio López, Sebastián Maldonado:
A second-order cone programming formulation for nonparallel hyperplane support vector machine. Expert Syst. Appl. 54: 95-104 (2016) - [j19]Julio López, Sebastián Maldonado:
Multi-class second-order cone programming support vector machines. Inf. Sci. 330: 328-341 (2016) - 2015
- [j18]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: 740-748 (2015) - [j17]Sebastián Maldonado, Ricardo Montoya, Richard Weber:
Advanced conjoint analysis using feature selection via support vector machines. Eur. J. Oper. Res. 241(2): 564-574 (2015) - [j16]Alex Seret, Sebastián Maldonado, Bart Baesens:
Identifying next relevant variables for segmentation by using feature selection approaches. Expert Syst. Appl. 42(15-16): 6255-6266 (2015) - [j15]Sebastián Maldonado, Julio López:
An embedded feature selection approach for support vector classification via second-order cone programming. Intell. Data Anal. 19(6): 1259-1273 (2015) - [j14]Julio López, Sebastián Maldonado:
Robust feature selection for multiclass Support Vector Machines using second-order cone programming. Intell. Data Anal. 19(s1): S117-S133 (2015) - [j13]Sebastián Maldonado:
Churn prediction via support vector classification: An empirical comparison. Intell. Data Anal. 19(s1): S135-S147 (2015) - [j12]Sebastián Maldonado, Emilio Carrizosa, Richard Weber:
Kernel Penalized K-means: A feature selection method based on Kernel K-means. Inf. Sci. 322: 150-160 (2015) - [j11]Cristián Bravo, Sebastián Maldonado:
Fieller Stability Measure: a novel model-dependent backtesting approach. J. Oper. Res. Soc. 66(11): 1895-1905 (2015) - [j10]Miguel Carrasco, Julio López, Sebastián Maldonado:
A multi-class SVM approach based on the l1-norm minimization of the distances between the reduced convex hulls. Pattern Recognit. 48(5): 1598-1607 (2015) - 2014
- [j9]Sebastián Maldonado, Claudio Montecinos:
Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers. Intell. Data Anal. 18(1): 95-112 (2014) - [j8]Sebastián Maldonado, Julio López:
Alternative second-order cone programming formulations for support vector classification. Inf. Sci. 268: 328-341 (2014) - [j7]Sebastián Maldonado, Juan Pérez, Richard Weber, Martine Labbé:
Feature selection for Support Vector Machines via Mixed Integer Linear Programming. Inf. Sci. 279: 163-175 (2014) - [j6]Sebastián Maldonado, Richard Weber, Fazel Famili:
Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines. Inf. Sci. 286: 228-246 (2014) - [j5]Sebastián Maldonado, Julio López:
Imbalanced data classification using second-order cone programming support vector machines. Pattern Recognit. 47(5): 2070-2079 (2014) - 2013
- [j4]Cristián Bravo, Sebastián Maldonado, Richard Weber:
Granting and managing loans for micro-entrepreneurs: New developments and practical experiences. Eur. J. Oper. Res. 227(2): 358-366 (2013) - 2012
- [c4]Sebastián Maldonado, Gaston L'Huillier:
Embedded Feature Selection for Spam and Phishing Filtering using Support Vector Machines. ICPRAM (2) 2012: 445-450 - 2011
- [j3]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): 1001-1017 (2011) - [j2]Sebastián Maldonado, Richard Weber, Jayanta Basak:
Simultaneous feature selection and classification using kernel-penalized support vector machines. Inf. Sci. 181(1): 115-128 (2011) - [c3]Sebastián Maldonado, Richard Weber:
Embedded Feature Selection for Support Vector Machines: State-of-the-Art and Future Challenges. CIARP 2011: 304-311 - 2010
- [c2]Sebastián Maldonado, Richard Weber:
Feature selection for support vector regression via Kernel penalization. IJCNN 2010: 1-7 - [c1]Sebastián Maldonado, Gonzalo Paredes:
A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs. ICDM 2010: 558-571
2000 – 2009
- 2009
- [j1]Sebastián Maldonado, Richard Weber:
A wrapper method for feature selection using Support Vector Machines. Inf. Sci. 179(13): 2208-2217 (2009)
Coauthor Index
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