Vicente García

67 papers B 1C 3Misc 8Journal 35Unranked 19

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