Vicente García

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 27

Top Topics

Class Imbalanced

Bankruptcy Prediction

Gene Expression

Top Venues

Res. Comput. Sci.

Expert Syst. Appl.

Appl. Soft Comput.

Publications

Txus Blasco, J. Salvador Sánchez, Vicente García
A survey on uncertainty quantification in deep learning for financial time series prediction. Neurocomputing 576 (2024)
Luis Carlos Méndez González, Luis Alberto Rodríguez-Picón, Iván Juan Carlos Pérez Olguín, Vicente García, Abel Eduardo Quezada-Carreón
A reliability analysis for electronic devices under an extension of exponentiated perks distribution. Qual. Reliab. Eng. Int. 39 (3) (2023)
A. Bolívar, Vicente García, Rogelio Florencia, Roberto Alejo, Gilberto Rivera Zárate, Julia Patricia Sánchez-Solís
A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality. MCPR (2022)
Gilberto Rivera, Raúl Porras, Julia Patricia Sánchez-Solís, Rogelio Florencia, Vicente García
Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application. Eng. Appl. Artif. Intell. 108 (2022)
Ricardo Mar-Cupido, Vicente García, Gilberto Rivera, J. Salvador Sánchez
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19. Appl. Soft Comput. 125 (2022)
Grisel Miranda, Roberto Alejo, Carlos Castorena, Eréndira Rendón, Javier Illescas, Vicente García
Deep Neural Network to Detect Gender Violence on Mexican Tweets. IWAIPR (2021)
Vicente García, J. Salvador Sánchez, Rafael Martínez-Peláez, Luis Carlos Méndez González
Revisiting the Dissimilarity Representation in the Context of Regression. IEEE Access 9 (2021)
Salvador Nevarez-Castellanos, Vicente García, Gilberto Rivera, Rogelio Florencia, Julia Patricia Sánchez-Solís, Alberto Ochoa-Zezzatti
Predicción del éxito de proyectos de videojuegos en Kickstarter con aprendizaje automático. Res. Comput. Sci. 149 (8) (2020)
Roberto A. Contreras-Massé, Alberto Ochoa-Zezzatti, Vicente García, Luis Asunción Pérez Dominguez, Mayra Elizondo-Cortés
Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing. Symmetry 12 (3) (2020)
Vicente García, J. Salvador Sánchez, A. I. Marqués, Rogelio Florencia Juárez, Gilberto Rivera Zárate
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data. Expert Syst. Appl. 158 (2020)
Ana Isabel Marqués, Vicente García, José Salvador Sánchez
Ranking-based MCDM models in financial management applications: analysis and emerging challenges. Prog. Artif. Intell. 9 (3) (2020)
Rafael Martínez-Peláez, Homero Toral-Cruz, Jorge R. Parra-Michel, Vicente García, Luis J. Mena, Vanessa G. Felix, Alberto M. Ochoa-Brust
An Enhanced Lightweight IoT-based Authentication Scheme in Cloud Computing Circumstances. Sensors 19 (9) (2019)
Vicente García, Ana Isabel Marqués, J. Salvador Sánchez
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction. Inf. Fusion 47 (2019)
Vicente García, J. Salvador Sánchez, Luis Alberto Rodríguez-Picón, Luis Carlos Méndez González, Humberto de Jesús Ochoa Domínguez
Using regression models for predicting the product quality in a tubing extrusion process. J. Intell. Manuf. 30 (6) (2019)
Vicente García, José Salvador Sánchez, Alberto Ochoa Ortíz, Abraham López-Najera
Instance Selection for the Nearest Neighbor Classifier: Connecting the Performance to the Underlying Data Structure. IbPRIA (1) (2019)
Roberto A. Contreras-Massé, Alberto Ochoa-Zezzatti, Vicente García, Mayra Elizondo-Cortés
Selection of IoT Platform with Multi-Criteria Analysis: Defining Criteria and Experts to Interview. Res. Comput. Sci. 148 (11) (2019)
Roberto A. Contreras-Massé, Alberto Ochoa-Zezzatti, Vicente García, José Mejía, Saúl González
Application of IoT with haptics interface in the smart manufacturing industry. Int. J. Comb. Optim. Probl. Informatics 10 (2) (2019)
Vicente García, Rogelio Florencia Juárez, Julia Patricia Sánchez-Solís, Gilberto Rivera Zárate, Roberto A. Contreras-Massé
Predicting Airline Customer Satisfaction using k-nn Ensemble Regression Models. Res. Comput. Sci. 148 (6) (2019)
Laura Cleofas-Sánchez, J. Salvador Sánchez, Vicente García
Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory. Prog. Artif. Intell. 8 (1) (2019)
J. Salvador Sánchez, Vicente García
Addressing the Links Between Dimensionality and Data Characteristics in Gene-Expression Microarrays. LOPAL (2018)
Vicente García, J. Salvador Sánchez, A. I. Marqués, Rafael Martínez-Peláez
A regression model based on the nearest centroid neighborhood. Pattern Anal. Appl. 21 (4) (2018)
Rafael Jiménez Castro, Vicente García, Rogelio Florencia Juárez, Gilberto Rivera Zárate, Francisco López-Orozco
Minería de opiniones aplicada a la evaluación docente de la UACJ. Res. Comput. Sci. 147 (6) (2018)
Roberto Contreras, Alberto Ochoa, Edgar Cossio, Vicente García, Diego Oliva, Raul Torres
Design and Implementation of an IoT-Based Háptical Interface Implemented by Memetic Algorithms to Improve Competitiveness in an Industry 4.0 Model for the Manufacturing Sector. IBICA (2018)
Vicente García, José Salvador Sánchez, Laura Cleofas-Sánchez, Humberto de Jesús Ochoa Domínguez, Francisco López-Orozco
An Insight on the 'Large G, Small n' Problem in Gene-Expression Microarray Classification. IbPRIA (2017)
Vicente García, Ana Isabel Marqués, Laura Cleofas-Sánchez, José Salvador Sánchez
Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings. HAIS (2016)
Laura Cleofas-Sánchez, Vicente García, A. I. Marqués, José Salvador Sánchez
Financial distress prediction using the hybrid associative memory with translation. Appl. Soft Comput. 44 (2016)
Laura Cleofas-Sánchez, José Salvador Sánchez, Vicente García, Rosa M. Valdovinos R.
Associative learning on imbalanced environments: An empirical study. Expert Syst. Appl. 54 (2016)
Vicente García, José Salvador Sánchez
Mapping microarray gene expression data into dissimilarity spaces for tumor classification. Inf. Sci. 294 (2015)
Roberto Alejo, Vicente García, J. Horacio Pacheco-Sánchez
An Efficient Over-sampling Approach Based on Mean Square Error Back-propagation for Dealing with the Multi-class Imbalance Problem. Neural Process. Lett. 42 (3) (2015)
Vicente García, Ana Isabel Marqués, José Salvador Sánchez
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. J. Intell. Inf. Syst. 44 (1) (2015)
Vicente García, José Salvador Sánchez, Humberto de Jesús Ochoa Domínguez, Laura Cleofas-Sánchez
Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise. IbPRIA (2015)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
A bias correction function for classification performance assessment in two-class imbalanced problems. Knowl. Based Syst. 59 (2014)
Roberto Alejo, Rosa Maria Valdovinos, Vicente García, J. H. Pacheco-Sanchez
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios. Pattern Recognit. Lett. 34 (4) (2013)
A. I. Marqués, Vicente García, José Salvador Sánchez
A literature review on the application of evolutionary computing to credit scoring. J. Oper. Res. Soc. 64 (9) (2013)
Ana Isabel Marqués, Vicente García, José Salvador Sánchez
On the suitability of resampling techniques for the class imbalance problem in credit scoring. J. Oper. Res. Soc. 64 (7) (2013)
Laura Cleofas-Sánchez, Vicente García, Raúl Martín-Félez, Rosa M. Valdovinos R., José Salvador Sánchez, Oscar Camacho Nieto
Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study. MCPR (2013)
Mónica Millán-Giraldo, Vicente García, José Salvador Sánchez
Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study. ICPRAM (1) (2012)
Vicente García, A. I. Marqués, J. Salvador Sánchez
Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring. IS-MiS (2012)
Mónica Millán-Giraldo, Vicente García, José Salvador Sánchez
One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices. SSPR/SPR (2012)
Vicente García, José Salvador Sánchez, Raúl Martín-Félez, Ramón Alberto Mollineda
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets. Prog. Artif. Intell. 1 (4) (2012)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance. Knowl. Based Syst. 25 (1) (2012)
A. I. Marqués, Vicente García, José Salvador Sánchez
Two-level classifier ensembles for credit risk assessment. Expert Syst. Appl. 39 (12) (2012)
José Salvador Sánchez, Vicente García, Ana Isabel Marqués
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods. ICONIP (2) (2012)
Vicente García, Ana Isabel Marqués, José Salvador Sánchez
Improving Risk Predictions by Preprocessing Imbalanced Credit Data. ICONIP (2) (2012)
Vicente García, A. I. Marqués, José Salvador Sánchez
On the use of data filtering techniques for credit risk prediction with instance-based models. Expert Syst. Appl. 39 (18) (2012)
A. I. Marqués, Vicente García, José Salvador Sánchez
Exploring the behaviour of base classifiers in credit scoring ensembles. Expert Syst. Appl. 39 (11) (2012)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
On the Suitability of Numerical Performance Measures for Class Imbalance Problems. ICPRAM (1) (2012)
José Salvador Sánchez, Vicente García, Ramón Alberto Mollineda
Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification. MLDM (2011)
Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos
Back Propagation with Balanced MSE Cost Function and Nearest Neighbor Editing for Handling Class Overlap and Class Imbalance. IWANN (1) (2011)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data. IbPRIA (2011)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
Theoretical Analysis of a Performance Measure for Imbalanced Data. ICPR (2010)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
Exploring the Performance of Resampling Strategies for the Class Imbalance Problem. IEA/AIE (1) (2010)
Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos
Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems. MCPR (2010)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions. IbPRIA (2009)
Laura Cleofas, Rosa Maria Valdovinos, Vicente García, Roberto Alejo
Use of Ensemble Based on GA for Imbalance Problem. ISNN (2) (2009)
Raúl Martín, Ramón Alberto Mollineda, Vicente García
Melodic Track Identification in MIDI Files Considering the Imbalanced Context. IbPRIA (2009)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
A New Performance Evaluation Method for Two-Class Imbalanced Problems. SSPR/SPR (2008)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
-NN performance in a challenging scenario of imbalance and overlapping. Pattern Anal. Appl. 11 (3-4) (2008)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez, Roberto Alejo, José Martínez Sotoca
When Overlapping Unexpectedly Alters the Class Imbalance Effects. IbPRIA (2) (2007)
Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples. IWANN (2007)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets. CIARP (2007)
Vicente García, Roberto Alejo, José Salvador Sánchez, José Martínez Sotoca, Ramón Alberto Mollineda
Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification. IDEAL (2006)
Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples. IDEAL (2006)
Ricardo Barandela, José Salvador Sánchez, Vicente García, E. Rangel
Strategies for learning in class imbalance problems. Pattern Recognit. 36 (3) (2003)
Ricardo Barandela, José Salvador Sánchez, Vicente García, Francesc J. Ferri
Learning from Imbalanced Sets through Resampling and Weighting. IbPRIA (2003)