Sebastián Maldonado

Full professor

Academic Training

Doctor en Sistemas de Ingeniería, Universidad de Chile
Magíster en Gestión de Operaciones, Universidad de Chile
Ingeniero Civil Industrial, Universidad de Chile

Sitio web

Research Areas

New data science and computational learning methodologies and their use in business applications, Business Analytics, Machine Learning, Operations Research and other areas.

Contact

semaldonad@fen.uchile.cl

Publicaciones en Revistas con Comité Editorial

2025 / Multiclass models for nonlinear classification via nonparallel hyperplane support vector machine / CHAOS / - No. 5
2025 / A predict-and-optimize approach to profit-driven churn prevention / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 2
2025 / Enhancing environmental governance: A text-based artificial intelligence approach for project evaluation involvement / Environmental Impact Assessment Review / - No. 107707
2024 / Dealing with Class Imbalance in Uplift Modeling - Efficient Data Preprocessing via Oversampling and Matching / IEEE Access
2024 / Interpretable multimodal classification for age-related macular degeneration diagnosis / PLoS One / - No. 11
2024 / Designing employee benefits to optimize turnover: A prescriptive analytics approach / COMPUTERS & INDUSTRIAL ENGINEERING / - No. 110582
2024 / Improving incentive policies to salespeople cross-sells: a cost-sensitive uplift modeling approach / Neural Computing & Applications
2024 / Explainable AI for enhanced decision-making / DECISION SUPPORT SYSTEMS / - No. 114276
2024 / Propensity score oversampling and matching for uplift modeling / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 3
2024 / Efficient hybrid oversampling and intelligent undersampling for imbalanced big data classification / EXPERT SYSTEMS WITH APPLICATIONS / - No. 123149
2024 / Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 3
2023 / Combination of unsupervised discretization methods for credit risk / PLoS One / - No. 11
2023 / Combination of infrared reflectance and OCT imaging for age-related macular degeneration screening via deep learning / INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE / - No. 8
2023 / Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 2
2023 / OWAdapt: An adaptive loss function for deep learning using OWA operators / KNOWLEDGE-BASED SYSTEMS
2023 / Semi-supervised learning for MALDI–TOF mass spectrometry data classification: an application in the salmon industry / Neural Computing & Applications / - No. 13
2023 / Case—School Timetabling Problem: A Scheduling Problem for High-School Institutions / INFORMS Transactions on Education / - No. 1
2023 / Mitigating the effect of dataset shift in clustering / Pattern Recongnition
2023 / Pooling information across levels in hierarchical time series forecasting via Kernel methods / EXPERT SYSTEMS WITH APPLICATIONS
2023 / Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 2
2022 / Understanding customer satisfaction via deep learning and natural language processing / EXPERT SYSTEMS WITH APPLICATIONS
2022 / The Cobb-Douglas Learning Machine / Pattern Recongnition
2022 / Improving debt collection via contact center information: A predictive analytics framework / DECISION SUPPORT SYSTEMS
2022 / FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification / Pattern Recongnition
2022 / Out-of-time cross-validation strategies for classification in the presence of dataset shift / Applied Intelligence / - No. 5
2021 / Prescriptive analytics: La última frontera de las capacidades analíticas / Revista Contabilidad y Sistemas, Universidad de Chile
2021 / Simultaneous model construction and noise reduction for hierarchical time series via Support Vector Regression / KNOWLEDGE-BASED SYSTEMS
2021 / Efficient n-gram construction for text categorization using feature selection techniques / Intelligent Data Analysis / - No. 3
2021 / Telecom traffic pumping analytics via explainable data science / DECISION SUPPORT SYSTEMS
2021 / A Transparency Maturity Model for Government Software Tenders / IEEE Access
2021 / Time-weighted Fuzzy Support Vector Machines for classification in changing environments / INFORMATION SCIENCES
2021 / Redefining profit metrics for boosting student retention in higher education / DECISION SUPPORT SYSTEMS
2021 / Profit-driven churn prediction for the mutual fund industry: A multisegment approach / OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
2021 / A discrete choice modeling approach to measure susceptibility and subjective valuation of the decoy effect, with an application to route choice / Journal of Choice Modelling
2021 / Automatic feature scaling and selection for support vector machine classification with functional data / Applied Intelligence / - No. 1
2020 / SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression / EXPERT SYSTEMS WITH APPLICATIONS
2020 / Uplift Modeling for preventing student dropout in higher education / DECISION SUPPORT SYSTEMS
2020 / Mining sequences in activities for time use analysis / Intelligent Data Analysis / - No. 2
2020 / Profit-based Churn Prediction based on Minimax Probability Machines / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 1
2020 / Reconfiguration and reinforcement allocation as applied to hourly medium-term load forecasting of distribution feeders / IET Generation, Transmission & Distribution / - No. 9
2020 / Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment / EXPERT SYSTEMS WITH APPLICATIONS
2020 / Enhancing the classification of Social Media Opinions by Optimizing the Structural Information / Future Generation Computer Systems
2020 / Credit Scoring using Three-Way Decisions with Probabilistic Rough Sets / INFORMATION SCIENCES
2020 / IOWA-SVM: A density-based weighting strategy for SVM classification via OWA operators / IEEE TRANSACTIONS ON FUZZY SYSTEMS / - No. 9
2019 / Facilitating conditions for successful adoption of inter-organizational information systems in seaports / Transportation Research Part A: Policy and Practice
2019 / Epsilon-nonparallel support vector regression / Applied Intelligence / - No. 12
2019 / Robust Nonparallel Support Vector Machines via Second Order Cone Programming / Neurocomputing
2019 / Automatic Time Series Analysis for Electric Load Forecasting via Support Vector Regression / APPLIED SOFT COMPUTING / - No. 105616
2019 / Hierarchical Time Series Forecasting via Support Vector Regression in the European Travel Retail Industry / EXPERT SYSTEMS WITH APPLICATIONS
2019 / Profit-based Credit Scoring based on Robust Optimization and Feature Selection / INFORMATION SCIENCES
2019 / Analytics meets port logistics: A decision support system for container stacking operations / DECISION SUPPORT SYSTEMS
2019 / Regularized Minimax Probability Machine / KNOWLEDGE-BASED SYSTEMS
2019 / An alternative SMOTE oversampling strategy for high-dimensional datasets / APPLIED SOFT COMPUTING
2018 / Decision support for fleet allocation and contract renegotiation in contracted open-pit mine blasting operations / International Journal of Production Economics
2018 / Ellipsoidal Support Vector Regression based on Second-order Cone Programming / Neurocomputing
2018 / Robust twin support vector regression via second ordercone programming / KNOWLEDGE-BASED SYSTEMS
2018 / Redefining nearest neighbor classification in high dimensionalsettings / Pattern Recongnition Letters
2018 / Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification / APPLIED SOFT COMPUTING
2018 / Double regularization methods for robust feature selection and SVM classification via DC programming / INFORMATION SCIENCES
2018 / Understanding time use via data mining: A clustering-based framework / Intelligent Data Analysis / - No. 3
2018 / Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies / Behavioural Neurology / - No. 4638903
2018 / Redefining support vector machines with the ordered weighted average / KNOWLEDGE-BASED SYSTEMS
2017 / Dynamic Rough-Fuzzy Support Vector Clustering / IEEE TRANSACTIONS ON FUZZY SYSTEMS / - No. 6
2017 / Integrated framework for profit-based feature selection and SVM classification in credit scoring / DECISION SUPPORT SYSTEMS
2017 / Synchronized feature selection for Support Vector Machines with twin hyperplanes / KNOWLEDGE-BASED SYSTEMS
2017 / A robust formulation for twin multiclass support vector machine / Applied Intelligence / - No. 4
2017 / Cost-based feature selection for Support Vector Machines - An application in credit scoring / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 2
2017 / Robust Kernel-based Multiclass Support Vector Machines via Second-Order Cone Programming / Applied Intelligence / - No. 4
2017 / Group-Penalized Feature Selection and Robust Twin SVM Classification via Second-order Cone Programming / Neurocomputing
2017 / Embedded Heterogeneous Feature Selection for Conjoint Analysis: a SVM approach using L1 penalty / Applied Intelligence / - No. 4
2017 / Assessing university enrollment and admission efforts via hierarchical classification and feature selection / Intelligent Data Analysis / - No. 4
2017 / Simultaneous Preference Estimation and Heterogeneity Control for Choice-based Conjoint via Support Vector Machines / Journal of the Operational Research Society / - No. 11
2016 / A fleet management model for the Santiago Fire Department / Fire Safety Journal
2016 / A second-order cone programming formulation for nonparallel hyperplane support vector machine / EXPERT SYSTEMS WITH APPLICATIONS
2016 / A second-order cone programming formulation for twin support vector machines / Applied Intelligence / - No. 2
2016 / Multi-class Second-Order Cone Programming Support Vector Machines / INFORMATION SCIENCES
2016 / A Novel Multi-class SVM Model Using Second-Order Cone Constraints / Applied Intelligence / - No. 2
2016 / A Reconfiguration of Fire Station and Fleet Locations for the Santiago Fire Department / INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH / - No. 11
2015 / An Embedded Feature Selection Approach for Support Vector Classification via Second-order Cone Programming / Intelligent Data Analysis / - No. 6
2015 / Feature Selection for Multiclass Support Vector Machines Using Second-Order Cone Programming / Intelligent Data Analysis / - No. S1
2015 / Churn Prediction via Support Vector Classification: An empirical comparison / Intelligent Data Analysis / - No. S1
2015 / Profit-based feature selection using support vector machines - General framework and an application for customer retention / APPLIED SOFT COMPUTING
2015 / Fieller's Stability Measure: A Novel Model dependentBacktesting Approach / Journal of the Operational Research Society / - No. 11
2015 / Kernel Penalized K-means: A feature selection method based on Kernel K-means / INFORMATION SCIENCES / - No. 11602
2015 / How Do Surficial Lithic Assemblages Weather in Arid Environments? A Case Study from the Atacama Desert, Northern Chile / Geoarchaeology / - No. 4
2015 / Identifying next relevant variables for segmentation by using feature selection approaches / EXPERT SYSTEMS WITH APPLICATIONS / - No. 15-16
2015 / A multi-class SVM approach based on the l1-norm minimization of the distances between the reduced convex hulls / Pattern Recongnition / - No. 5
2015 / Advanced Conjoint Analysis using Feature Selection via Support Vector Machines / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 2
2015 / Selección de atributos y Support Vector Machines adaptado al problema de fuga de clientes / Revista Ingeniería de Sistemas
2014 / Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines / INFORMATION SCIENCES
2014 / Feature Selection for Support Vector Machines via Mixed Integer Linear Programming / INFORMATION SCIENCES
2014 / Alternative Second-Order Cone Programming Formulations for Support Vector Classification / INFORMATION SCIENCES
2014 / Imbalanced data classification using second-order cone programming Support Vector Machines / Pattern Recongnition / - No. 5
2014 / Robust Classification of Imbalanced Data using Ensembles of One-Class and Two-Class SVMs / Intelligent Data Analysis / - No. 1
2013 / Methodologies for Granting and Managing Loans for Micro-Entrepreneurs: New Developments and Practical Experiences / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH / - No. 2
2012 / Modelos de selección de atributos para Support Vector Machines / Revista Ingeniería de Sistemas
2011 / Simultaneous feature selection and classification using kernel-penalized support vector machines / INFORMATION SCIENCES / - No. 1
2009 / A wrapper method for feature selection using Support Vector Machines / INFORMATION SCIENCES / - No. 13
2009 / Seguimiento en modelos de regresión logística / Revista Ingeniería Industrial / - No. 2

Libros

2022 / Analytics y Big Data: Ciencia de los Datos aplicada al mundo de los negocios

Capítulos de libros

Academic/Professional meeting Proceedings

2021 / Semi-supervised learning for MS MALDI-TOF data
2021 / Prescriptive analytics: La última frontera de las capacidades analíticas / Revista Contabilidad y Sistemas, Universidad de Chile
2015 / Selección de atributos y Support Vector Machines adaptado al problema de fuga de clientes / Revista Ingeniería de Sistemas
2012 / Modelos de selección de atributos para Support Vector Machines / Revista Ingeniería de Sistemas
2009 / Seguimiento en modelos de regresión logística / Revista Ingeniería Industrial / - No. 2

Columna de Opinión

2024 / La regulación de lainteligencia artificial / - No. 24
2023 / La regulación de la IA
2023 / Regulación de la inteligencia artificial, ¿cuándo, cómo y por qué?

Competitive Research Awards Received

Others

2019 / Measuring Prevalence and Incidence of the Decoy Effect: An Application to Route Choice