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  4. Sebastián Maldonado

Sebastián Maldonado

  • Profesor Titular
    Formación Académica

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

    Biografía

  • Sebastián Maldonado es profesor Titular del Departamento de Control de Gestión y Sistemas de Información (DCS) de la Universidad de Chile. Se destaca por ser autor de más de 60 publicaciones indexadas en el área de Analytics, además de contar con importantes proyectos de investigación, como por ejemplo dos proyectos Fondecyt Regular.

    Fue presidente de la Sociedad Chilena de Investigación de Operaciones (ICHIO) y, desde el año 2018, conforma el Grupo de Evaluación Ingeniería 2 de la Agencia Nacional de Investigación, ex CONICYT (ANID). ANID es la encargada de entregar los fondos de investigación más importantes del país. Además, es
    vicepresidente del capítulo chileno de la IEEE Computational Intelligence Society.

    Cuenta con más de diez años de experiencia en proyectos de consultoría en Data Science, principalmente en los sectores de Banca y Telecomunicaciones.

     

    En pregrado, dicta el curso de Business Intelligence, y en educación ejecutiva es parte del cuerpo académico del diplomado en Business Intelligence.

Publicaciones en Revistas con Comité Editorial
● 2024 (Forthcoming) / Efficient hybrid oversampling and intelligent undersampling for imbalanced big data classification / EXPERT SYSTEMS WITH APPLICATIONS - Vol. 246
● 2024 (Forthcoming) / Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH - Vol. 312, No. 3
● 2023 / Combination of unsupervised discretization methods for credit risk / PLoS One - Vol. 18, No. 11
● 2023 / Combination of infrared reflectance and OCT imaging for age-related macular degeneration screening via deep learning / INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE - Vol. 64, No. 8
● 2023 (Forthcoming) / Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH -
● 2023 (Forthcoming) / OWAdapt: An adaptive loss function for deep learning using OWA operators / KNOWLEDGE-BASED SYSTEMS - Vol. 280
● 2023 / Semi-supervised learning for MALDI–TOF mass spectrometry data classification: an application in the salmon industry / Neural Computing & Applications - Vol. 35, No. 13
● 2023 / Case—School Timetabling Problem: A Scheduling Problem for High-School Institutions / INFORMS Transactions on Education - Vol. 24, No. 1
● 2023 / Mitigating the effect of dataset shift in clustering / Pattern Recongnition - Vol. 134
● 2023 / Pooling information across levels in hierarchical time series forecasting via Kernel methods / EXPERT SYSTEMS WITH APPLICATIONS - Vol. 213
● 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 - Vol. 304, No. 2
● 2022 / Understanding customer satisfaction via deep learning and natural language processing / EXPERT SYSTEMS WITH APPLICATIONS - Vol. 209
● 2022 / The Cobb-Douglas Learning Machine / Pattern Recongnition - Vol. 128
● 2022 / Improving debt collection via contact center information: A predictive analytics framework / DECISION SUPPORT SYSTEMS - Vol. 159
● 2022 / FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification / Pattern Recongnition - Vol. 124
● 2022 / Out-of-time cross-validation strategies for classification in the presence of dataset shift / Applied Intelligence - Vol. 52, No. 5
● 2021 / Redefining profit metrics for boosting student retention in higher education / DECISION SUPPORT SYSTEMS - Vol. 143
● 2021 / Prescriptive analytics: La última frontera de las capacidades analíticas / Revista Contabilidad y Sistemas, Universidad de Chile - Vol. 20
● 2021 / Simultaneous model construction and noise reduction for hierarchical time series via Support Vector Regression / KNOWLEDGE-BASED SYSTEMS - Vol. 232
● 2021 / Efficient n-gram construction for text categorization using feature selection techniques / Intelligent Data Analysis - Vol. 25, No. 3
● 2021 / Telecom traffic pumping analytics via explainable data science / DECISION SUPPORT SYSTEMS - Vol. 150
● 2021 / A Transparency Maturity Model for Government Software Tenders / IEEE Access - Vol. 9
● 2021 / Time-weighted Fuzzy Support Vector Machines for classification in changing environments / INFORMATION SCIENCES - Vol. 559
● 2021 / Profit-driven churn prediction for the mutual fund industry: A multisegment approach / OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE - Vol. 100
● 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 - Vol. 38
● 2021 / Automatic feature scaling and selection for support vector machine classification with functional data / Applied Intelligence - Vol. 51, No. 1
● 2020 / IOWA-SVM: A density-based weighting strategy for SVM classification via OWA operators / IEEE TRANSACTIONS ON FUZZY SYSTEMS - Vol. 28, No. 9
● 2020 / Uplift Modeling for preventing student dropout in higher education / DECISION SUPPORT SYSTEMS - Vol. 134
● 2020 / SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression / EXPERT SYSTEMS WITH APPLICATIONS - Vol. 160
● 2020 / Mining sequences in activities for time use analysis / Intelligent Data Analysis - Vol. 24, No. 2
● 2020 / Profit-based Churn Prediction based on Minimax Probability Machines / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH - Vol. 284, No. 1
● 2020 / Reconfiguration and reinforcement allocation as applied to hourly medium-term load forecasting of distribution feeders / IET Generation, Transmission & Distribution - Vol. 14, No. 9
● 2020 / Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment / EXPERT SYSTEMS WITH APPLICATIONS - Vol. 143
● 2020 / Enhancing the classification of Social Media Opinions by Optimizing the Structural Information / Future Generation Computer Systems - Vol. 102
● 2020 / Credit Scoring using Three-Way Decisions with Probabilistic Rough Sets / INFORMATION SCIENCES - Vol. 507
● 2019 / Facilitating conditions for successful adoption of inter-organizational information systems in seaports / Transportation Research Part A: Policy and Practice - Vol. 130
● 2019 / Epsilon-nonparallel support vector regression / Applied Intelligence - Vol. 49, No. 12
● 2019 / Robust Nonparallel Support Vector Machines via Second Order Cone Programming / Neurocomputing - Vol. 364
● 2019 / Automatic Time Series Analysis for Electric Load Forecasting via Support Vector Regression / APPLIED SOFT COMPUTING - Vol. 83, No. 105.616
● 2019 / Hierarchical Time Series Forecasting via Support Vector Regression in the European Travel Retail Industry / EXPERT SYSTEMS WITH APPLICATIONS - Vol. 137
● 2019 / Profit-based Credit Scoring based on Robust Optimization and Feature Selection / INFORMATION SCIENCES - Vol. 500
● 2019 / Analytics meets port logistics: A decision support system for container stacking operations / DECISION SUPPORT SYSTEMS - Vol. 121
● 2019 / Regularized Minimax Probability Machine / KNOWLEDGE-BASED SYSTEMS - Vol. 177
● 2019 / An alternative SMOTE oversampling strategy for high-dimensional datasets / APPLIED SOFT COMPUTING - Vol. 76
● 2018 / Redefining support vector machines with the ordered weighted average / KNOWLEDGE-BASED SYSTEMS - Vol. 148
● 2018 / Decision support for fleet allocation and contract renegotiation in contracted open-pit mine blasting operations / International Journal of Production Economics - Vol. 204
● 2018 / Ellipsoidal Support Vector Regression based on Second-order Cone Programming / Neurocomputing - Vol. 305
● 2018 / Robust twin support vector regression via second ordercone programming / KNOWLEDGE-BASED SYSTEMS - Vol. 152
● 2018 / Redefining nearest neighbor classification in high dimensionalsettings / Pattern Recongnition Letters - Vol. 110
● 2018 / Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification / APPLIED SOFT COMPUTING - Vol. 67
● 2018 / Double regularization methods for robust feature selection and SVM classification via DC programming / INFORMATION SCIENCES - Vol. 429
● 2018 / Understanding time use via data mining: A clustering-based framework / Intelligent Data Analysis - Vol. 22, No. 3
● 2018 / Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies / Behavioural Neurology - Vol. 2.018, No. 4.638.903
● 2017 / Dynamic Rough-Fuzzy Support Vector Clustering / IEEE TRANSACTIONS ON FUZZY SYSTEMS - Vol. 25, No. 6
● 2017 / Integrated framework for profit-based feature selection and SVM classification in credit scoring / DECISION SUPPORT SYSTEMS - Vol. 104
● 2017 / Synchronized feature selection for Support Vector Machines with twin hyperplanes / KNOWLEDGE-BASED SYSTEMS - Vol. 132
● 2017 / A robust formulation for twin multiclass support vector machine / Applied Intelligence - Vol. 47, No. 4
● 2017 / Cost-based feature selection for Support Vector Machines - An application in credit scoring / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH - Vol. 261, No. 2
● 2017 / Robust Kernel-based Multiclass Support Vector Machines via Second-Order Cone Programming / Applied Intelligence - Vol. 46, No. 4
● 2017 / Group-Penalized Feature Selection and Robust Twin SVM Classification via Second-order Cone Programming / Neurocomputing - Vol. 235
● 2017 / Embedded Heterogeneous Feature Selection for Conjoint Analysis: a SVM approach using L1 penalty / Applied Intelligence - Vol. 46, No. 4
● 2017 / Assessing university enrollment and admission efforts via hierarchical classification and feature selection / Intelligent Data Analysis - Vol. 21, No. 4
● 2017 / Simultaneous Preference Estimation and Heterogeneity Control for Choice-based Conjoint via Support Vector Machines / Journal of the Operational Research Society - Vol. 68, No. 11
● 2016 / A fleet management model for the Santiago Fire Department / Fire Safety Journal - Vol. 82
● 2016 / A second-order cone programming formulation for nonparallel hyperplane support vector machine / EXPERT SYSTEMS WITH APPLICATIONS - Vol. 54
● 2016 / A second-order cone programming formulation for twin support vector machines / Applied Intelligence - Vol. 45, No. 2
● 2016 / Multi-class Second-Order Cone Programming Support Vector Machines / INFORMATION SCIENCES - Vol. 330
● 2016 / A Novel Multi-class SVM Model Using Second-Order Cone Constraints / Applied Intelligence - Vol. 44, No. 2
● 2016 / A Reconfiguration of Fire Station and Fleet Locations for the Santiago Fire Department / INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH - Vol. 54, No. 11
● 2015 / An Embedded Feature Selection Approach for Support Vector Classification via Second-order Cone Programming / Intelligent Data Analysis - Vol. 19, No. 6
● 2015 / Feature Selection for Multiclass Support Vector Machines Using Second-Order Cone Programming / Intelligent Data Analysis - Vol. 19
● 2015 / Churn Prediction via Support Vector Classification: An empirical comparison / Intelligent Data Analysis - Vol. 19
● 2015 / Profit-based feature selection using support vector machines - General framework and an application for customer retention / APPLIED SOFT COMPUTING - Vol. 35
● 2015 / Fieller's Stability Measure: A Novel Model dependentBacktesting Approach / Journal of the Operational Research Society - Vol. 66, No. 11
● 2015 / Kernel Penalized K-means: A feature selection method based on Kernel K-means / INFORMATION SCIENCES - Vol. 322, No. 11.602
● 2015 / How Do Surficial Lithic Assemblages Weather in Arid Environments? A Case Study from the Atacama Desert, Northern Chile / Geoarchaeology - Vol. 30, No. 4
● 2015 / Identifying next relevant variables for segmentation by using feature selection approaches / EXPERT SYSTEMS WITH APPLICATIONS - Vol. 42, No. 15
● 2015 / A multi-class SVM approach based on the l1-norm minimization of the distances between the reduced convex hulls / Patter Recongnition - Vol. 48, No. 5
● 2015 / Advanced Conjoint Analysis using Feature Selection via Support Vector Machines / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH - Vol. 241, No. 2
● 2015 / Selección de atributos y Support Vector Machines adaptado al problema de fuga de clientes / Revista Ingeniería de Sistemas - Vol. 29
● 2014 / Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines / INFORMATION SCIENCES - Vol. 286
● 2014 / Feature Selection for Support Vector Machines via Mixed Integer Linear Programming / INFORMATION SCIENCES - Vol. 279
● 2014 / Alternative Second-Order Cone Programming Formulations for Support Vector Classification / INFORMATION SCIENCES - Vol. 268
● 2014 / Imbalanced data classification using second-order cone programming Support Vector Machines / Patter Recongnition - Vol. 47, No. 5
● 2014 / Robust Classification of Imbalanced Data using Ensembles of One-Class and Two-Class SVMs / Intelligent Data Analysis - Vol. 18, No. 1
● 2013 / Methodologies for Granting and Managing Loans for Micro-Entrepreneurs: New Developments and Practical Experiences / EUROPEAN JOURNAL OF OPERATIONAL RESEARCH - Vol. 227, No. 2
● 2012 / Modelos de selección de atributos para Support Vector Machines / Revista Ingeniería de Sistemas - Vol. 26
● 2011 / Simultaneous feature selection and classification using kernel-penalized support vector machines / INFORMATION SCIENCES - Vol. 181, No. 1
● 2009 / A wrapper method for feature selection using Support Vector Machines / INFORMATION SCIENCES - Vol. 179, No. 13
● 2009 / Seguimiento en modelos de regresión logística / Revista Ingeniería Industrial - Vol. 8, No. 2
Libros
● 2022 / Analytics y Big Data: Ciencia de los Datos aplicada al mundo de los negocios
Capítulos de libros
● 2013 / SVM-based Feature Selection and Classification for Email Filtering.
● 2011 / Embedded Feature Selection for Support Vector Machines: State-of-the-Art and Future Challenges
● 2010 / A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs
Academic/Professional meeting Proceedings
● 2021 / Semi-supervised learning for MS MALDI-TOF data
Columna de Opinión
● 2023 / La regulación de la IA
● 2023 / Regulación de la inteligencia artificial, ¿cuándo, cómo y por qué?
Competitive Research Awards Received
● 2023 / Study of novel robust optimization models in classification problems / No. 1.230.694
● 2023 / Escalamiento y validación de un sistema integrado para la persecución de delitos utilizando analítica avanzada de datos
● 2022 / Understanding business dynamics through analytics: Theory and applications in churn prevention and credit assignment
● 2021 / A Decision Support System for container handling port operations based on artificial intelligence and optimization techniques (DSS-AIOP)
● 2020 / Improving out-of-time predictive performance in business analytics via robust optimization and profit metrics
Others
● 2019 / Measuring Prevalence and Incidence of the Decoy Effect: An Application to Route Choice