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ORCIDVicente García 0001
Vicente García Jiménez
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- affiliation: Universidad Autónoma de Ciudad Juárez, Mexico
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2020 – today
- 2024
[j42]Luis Cisneros, Raúl Porras, Gilberto Rivera, Rafael A. Espin-Andrade, Vicente García:
Using Compensatory Fuzzy Logic to Model an Investor's Preference Regarding Portfolio Stock Selection within Markowitz's Mean-Variance Framework. Computación y Sistemas (CyS) 28(3) (2024)- [j41]Txus Blasco, J. Salvador Sánchez, Vicente García
:
A survey on uncertainty quantification in deep learning for financial time series prediction. Neurocomputing 576: 127339 (2024) - 2023
- [j40]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): 776-795 (2023) - 2022
- [j39]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: 109207 (2022) - [j38]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: 104556 (2022) - [j37]Hugo Alberto Morales Casas, Francisco López-Orozco, Vicente García Jiménez:
Uso de series temporales para el análisis y predicción de consumo de materia prima en la industria maquiladora. Res. Comput. Sci. 151(8): 167-176 (2022) - [c32]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: 46-55 - 2021
- [j36]Vicente García, J. Salvador Sánchez, Rafael Martínez-Peláez, Luis Carlos Méndez-González:
Revisiting the Dissimilarity Representation in the Context of Regression. IEEE Access 9: 157043-157051 (2021) - [j35]Felipe Arias Del Campo, Cristina Guevara Neri, Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez, Vicente García Jiménez:
Auto-adaptive multilayer perceptron for univariate time series classification. Expert Syst. Appl. 181: 115147 (2021) - [j34]Roberto A. Contreras-Massé, Alberto Ochoa-Zezzatti, Mayra Elizondo-Cortés, Vianey Torres-Argüelles, Vicente García Jiménez, José Mejía:
Editorial: From traditional Information Technology to Serverless. A novel approach to monitor mobile phones using concepts and principles of Industrial Internet of Things. Int. J. Comb. Optim. Probl. Informatics 12(2): 1-6 (2021) - [c31]Grisel Miranda, Roberto Alejo, Carlos Castorena, Eréndira Rendón, Javier Illescas, Vicente García:
Deep Neural Network to Detect Gender Violence on Mexican Tweets. IWAIPR 2021: 24-32 - 2020
- [j33]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: 113026 (2020) - [j32]Vianey G. Cruz Sánchez, Humberto de Jesús Ochoa Domínguez, Osslan Osiris Vergara-Villegas, Vicente García Jiménez:
Editorial for Volume 11 Number 1: Signal Processing and Production Processes in Advanced Engineering. Int. J. Comb. Optim. Probl. Informatics 11(1): 1-8 (2020) - [j31]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): 171-193 (2020) - [j30]Alexandra K. Medrano Roldán, Julia Patricia Sánchez-Solís, Vicente García Jiménez, Rogelio Florencia Juárez, Gilberto Rivera Zárate:
Convolutional Neural Network in a Pseudo-Distributed Environment for Classification of Chest X-Ray Images of Patients with Pneumonia. Res. Comput. Sci. 149(5): 101-110 (2020) - [j29]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): 763-775 (2020) - [j28]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): 368 (2020)
2010 – 2019
- 2019
- [j27]Laura Cleofas-Sánchez, Anabel Pineda Briseño, Rosa María Valdovinos Rosas, José Salvador Sánchez, Vicente García Jiménez, Oscar Camacho Nieto, Héctor M. Pérez Meana, Mariko Nakano-Miyatake:
Empirical Study of the Associative Approach in the Context of Classification Problems. Computación y Sistemas 23(2): 601-618 (2019) - [j26]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): 57-70 (2019) - [j25]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: 88-101 (2019) - [j24]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): 2535-2544 (2019) - [j23]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): 63-71 (2019) - [j22]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): 205-215 (2019) - [j21]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): 9-19 (2019) - [j20]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): 2098 (2019) - [c30]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: 249-256 - 2018
- [j19]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): 941-951 (2018) - [j18]J. A. Porras Medrano, Rogelio Florencia Juárez, Gilberto Rivera Zárate, Vicente García Jiménez:
Interfaz de lenguaje natural para consultar cubos multidimensionales utilizando procesamiento analítico en línea. Res. Comput. Sci. 147(6): 153-165 (2018) - [j17]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): 167-177 (2018) - [c29]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: 103-117 - [c28]J. Salvador Sánchez, Vicente García:
Addressing the Links Between Dimensionality and Data Characteristics in Gene-Expression Microarrays. LOPAL 2018: 1:1-1:6 - 2017
- [c27]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: 483-490 - 2016
- [j16]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: 144-152 (2016) - [j15]Laura Cleofas-Sánchez, José Salvador Sánchez, Vicente García, Rosa M. Valdovinos R.:
Associative learning on imbalanced environments: An empirical study. Expert Syst. Appl. 54: 387-397 (2016) - [c26]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: 524-535 - 2015
- [j14]Vicente García, José Salvador Sánchez:
Mapping microarray gene expression data into dissimilarity spaces for tumor classification. Inf. Sci. 294: 362-375 (2015) - [j13]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): 159-189 (2015) - [j12]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): 603-617 (2015) - [c25]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: 370-378 - 2014
- [j11]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: 66-74 (2014) - 2013
- [j10]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): 1060-1070 (2013) - [j9]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): 1384-1399 (2013) - [j8]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): 380-388 (2013) - [c24]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: 325-334 - 2012
- [j7]A. I. Marqués, Vicente García, José Salvador Sánchez:
Exploring the behaviour of base classifiers in credit scoring ensembles. Expert Syst. Appl. 39(11): 10244-10250 (2012) - [j6]A. I. Marqués, Vicente García, José Salvador Sánchez:
Two-level classifier ensembles for credit risk assessment. Expert Syst. Appl. 39(12): 10916-10922 (2012) - [j5]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): 13267-13276 (2012) - [j4]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): 13-21 (2012) - [j3]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): 347-362 (2012) - [c23]José Salvador Sánchez, Vicente García, Ana Isabel Marqués:
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods. ICONIP (2) 2012: 60-67 - [c22]Vicente García, Ana Isabel Marqués, José Salvador Sánchez:
Improving Risk Predictions by Preprocessing Imbalanced Credit Data. ICONIP (2) 2012: 68-75 - [c21]Mónica Millán-Giraldo, Vicente García, José Salvador Sánchez:
Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study. ICPRAM (1) 2012: 242-247 - [c20]Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda:
On the Suitability of Numerical Performance Measures for Class Imbalance Problems. ICPRAM (1) 2012: 310-313 - [c19]Ianisse Quinzán Suárez, Pedro Latorre-Carmona, Pedro García-Sevilla, Enrique Boldo, Filiberto Pla, Vicente García Jiménez, Rafael Lozoya, Guillermo Pérez de Lucía:
Non-invasive Melanoma Diagnosis using Multispectral Imaging. ICPRAM (1) 2012: 386-393 - [c18]Vicente García, A. I. Marqués, J. Salvador Sánchez:
Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring. IS-MiS 2012: 263-272 - [c17]Mónica Millán-Giraldo, Vicente García, José Salvador Sánchez:
One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices. SSPR/SPR 2012: 391-399 - 2011
- [c16]Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda:
Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data. IbPRIA 2011: 644-651 - [c15]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: 199-206 - [c14]José Salvador Sánchez, Vicente García, Ramón Alberto Mollineda:
Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification. MLDM 2011: 511-523 - 2010
- [b1]Vicente García:
Distribuciones de Clases No Balanceadas: Métricas, Análisis de Complejidad y Algoritmos de Aprendizaje. Jaume I University, Spain, 2010 - [c13]Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez:
Theoretical Analysis of a Performance Measure for Imbalanced Data. ICPR 2010: 617-620 - [c12]Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda:
Exploring the Performance of Resampling Strategies for the Class Imbalance Problem. IEA/AIE (1) 2010: 541-549 - [c11]Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos:
Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems. MCPR 2010: 180-188
2000 – 2009
- 2009
- [c10]Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez:
Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions. IbPRIA 2009: 441-448 - [c9]Raúl Martín, Ramón Alberto Mollineda, Vicente García:
Melodic Track Identification in MIDI Files Considering the Imbalanced Context. IbPRIA 2009: 489-496 - [c8]Laura Cleofas, Rosa Maria Valdovinos, Vicente García, Roberto Alejo:
Use of Ensemble Based on GA for Imbalance Problem. ISNN (2) 2009: 547-554 - 2008
- [j2]Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez:
On the k-NN performance in a challenging scenario of imbalance and overlapping. Pattern Anal. Appl. 11(3-4): 269-280 (2008) - [c7]Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez:
A New Performance Evaluation Method for Two-Class Imbalanced Problems. SSPR/SPR 2008: 917-925 - 2007
- [c6]Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda:
An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets. CIARP 2007: 397-406 - [c5]Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez, Roberto Alejo, José Martínez Sotoca:
When Overlapping Unexpectedly Alters the Class Imbalance Effects. IbPRIA (2) 2007: 499-506 - [c4]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: 162-169 - 2006
- [c3]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: 371-378 - [c2]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: 464-471 - 2003
- [j1]Ricardo Barandela, José Salvador Sánchez, Vicente García, E. Rangel:
Strategies for learning in class imbalance problems. Pattern Recognit. 36(3): 849-851 (2003) - [c1]Ricardo Barandela, José Salvador Sánchez, Vicente García, Francesc J. Ferri:
Learning from Imbalanced Sets through Resampling and Weighting. IbPRIA 2003: 80-88
Coauthor Index
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