Sebastián Maldonado
Orcid: 0000-0002-7124-0437
According to our database1,
Sebastián Maldonado
authored at least 84 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making.
Eur. J. Oper. Res., February, 2024
2023
Knowl. Based Syst., November, 2023
Semi-supervised learning for MALDI-TOF mass spectrometry data classification: an application in the salmon industry.
Neural Comput. Appl., May, 2023
Pooling information across levels in hierarchical time series forecasting via Kernel methods.
Expert Syst. Appl., 2023
Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach.
Eur. J. Oper. Res., 2023
Efficient Hybrid Oversampling and Intelligent Undersampling for Imbalanced Big Data Classification.
CoRR, 2023
Automatic learning algorithm selection for classification via convolutional neural networks.
CoRR, 2023
2022
Pattern Recognit., 2022
Understanding customer satisfaction via deep learning and natural language processing.
Expert Syst. Appl., 2022
Improving debt collection via contact center information: A predictive analytics framework.
Decis. Support Syst., 2022
Out-of-time cross-validation strategies for classification in the presence of dataset shift.
Appl. Intell., 2022
2021
Simultaneous model construction and noise reduction for hierarchical time series via Support Vector Regression.
Knowl. Based Syst., 2021
Time-weighted Fuzzy Support Vector Machines for classification in changing environments.
Inf. Sci., 2021
Efficient n-gram construction for text categorization using feature selection techniques.
Intell. Data Anal., 2021
Decis. Support Syst., 2021
Decis. Support Syst., 2021
Automatic feature scaling and selection for support vector machine classification with functional data.
Appl. Intell., 2021
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021
2020
IOWA-SVM: A Density-Based Weighting Strategy for SVM Classification via OWA Operators.
IEEE Trans. Fuzzy Syst., 2020
Inf. Sci., 2020
Enhancing the classification of social media opinions by optimizing the structural information.
Future Gener. Comput. Syst., 2020
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression.
Expert Syst. Appl., 2020
Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment.
Expert Syst. Appl., 2020
Eur. J. Oper. Res., 2020
Decis. Support Syst., 2020
2019
Inf. Sci., 2019
Neurocomputing, 2019
Hierarchical time series forecasting via Support Vector Regression in the European Travel Retail Industry.
Expert Syst. Appl., 2019
Analytics meets port logistics: A decision support system for container stacking operations.
Decis. Support Syst., 2019
Appl. Soft Comput., 2019
Automatic time series analysis for electric load forecasting via support vector regression.
Appl. Soft Comput., 2019
2018
Pattern Recognit. Lett., 2018
Knowl. Based Syst., 2018
Knowl. Based Syst., 2018
Double regularization methods for robust feature selection and SVM classification via DC programming.
Inf. Sci., 2018
Neurocomputing, 2018
Intell. Data Anal., 2018
Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification.
Appl. Soft Comput., 2018
2017
Knowl. Based Syst., 2017
Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines.
J. Oper. Res. Soc., 2017
Group-penalized feature selection and robust twin SVM classification via second-order cone programming.
Neurocomputing, 2017
Assessing university enrollment and admission efforts via hierarchical classification and feature selection.
Intell. Data Anal., 2017
Cost-based feature selection for Support Vector Machines: An application in credit scoring.
Eur. J. Oper. Res., 2017
Integrated framework for profit-based feature selection and SVM classification in credit scoring.
Decis. Support Syst., 2017
Appl. Soft Comput., 2017
Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty.
Appl. Intell., 2017
Robust kernel-based multiclass support vector machines via second-order cone programming.
Appl. Intell., 2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
2016
A second-order cone programming formulation for nonparallel hyperplane support vector machine.
Expert Syst. Appl., 2016
Appl. Intell., 2016
Appl. Intell., 2016
2015
A multi-class SVM approach based on the l<sub>1</sub>-norm minimization of the distances between the reduced convex hulls.
Pattern Recognit., 2015
J. Oper. Res. Soc., 2015
Inf. Sci., 2015
An embedded feature selection approach for support vector classification via second-order cone programming.
Intell. Data Anal., 2015
Intell. Data Anal., 2015
Robust feature selection for multiclass Support Vector Machines using second-order cone programming.
Intell. Data Anal., 2015
Identifying next relevant variables for segmentation by using feature selection approaches.
Expert Syst. Appl., 2015
Eur. J. Oper. Res., 2015
Profit-based feature selection using support vector machines - General framework and an application for customer retention.
Appl. Soft Comput., 2015
2014
Imbalanced data classification using second-order cone programming support vector machines.
Pattern Recognit., 2014
Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines.
Inf. Sci., 2014
Inf. Sci., 2014
Alternative second-order cone programming formulations for support vector classification.
Inf. Sci., 2014
Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers.
Intell. Data Anal., 2014
2013
Granting and managing loans for micro-entrepreneurs: New developments and practical experiences.
Eur. J. Oper. Res., 2013
2012
Embedded Feature Selection for Spam and Phishing Filtering using Support Vector Machines.
Proceedings of the ICPRAM 2012, 2012
2011
Simultaneous feature selection and classification using kernel-penalized support vector machines.
Inf. Sci., 2011
Embedded Feature Selection for Support Vector Machines: State-of-the-Art and Future Challenges.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
2010
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Inf. Sci., 2009