Learning from Imbalanced Sets through Resampling and Weighting. - Ricardo Barandela; José Salvador Sánchez 001; Vicente García 001; Francesc J. Ferri (IbPRIA, 2003)

Strategies for learning in class imbalance problems. - Ricardo Barandela; José Salvador Sánchez 001; Vicente García 001; E. Rangel (Pattern Recognit., 2003)

Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples. - Roberto Alejo; Vicente García 001; José Martínez Sotoca; Ramón Alberto Mollineda; José Salvador Sánchez 001 (IDEAL, 2006)

Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification. - Vicente García 001; Roberto Alejo; José Salvador Sánchez 001; José Martínez Sotoca; Ramón Alberto Mollineda (IDEAL, 2006)

An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (CIARP, 2007)

When Overlapping Unexpectedly Alters the Class Imbalance Effects. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001; Roberto Alejo; José Martínez Sotoca (IbPRIA (2), 2007)

Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples. - Roberto Alejo; Vicente García 001; José Martínez Sotoca; Ramón Alberto Mollineda; José Salvador Sánchez 001 (IWANN, 2007)

A New Performance Evaluation Method for Two-Class Imbalanced Problems. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (SSPR/SPR, 2008)

On the k-NN performance in a challenging scenario of imbalance and overlapping. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (Pattern Anal. Appl., 2008)

Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (IbPRIA, 2009)

Melodic Track Identification in MIDI Files Considering the Imbalanced Context. - Raúl Martín; Ramón Alberto Mollineda; Vicente García 001 (IbPRIA, 2009)

Use of Ensemble Based on GA for Imbalance Problem. - Laura Cleofas; Rosa Maria Valdovinos; Vicente García 001; Roberto Alejo (ISNN (2), 2009)

Theoretical Analysis of a Performance Measure for Imbalanced Data. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (ICPR, 2010)

Exploring the Performance of Resampling Strategies for the Class Imbalance Problem. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (IEA/AIE (1), 2010)

Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems. - Roberto Alejo; José Martínez Sotoca; Vicente García 001; Rosa Maria Valdovinos (MCPR, 2010)

Distribuciones de Clases No Balanceadas: Métricas, Análisis de Complejidad y Algoritmos de Aprendizaje. - Vicente García 001 (2010)

Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (IbPRIA, 2011)

Back Propagation with Balanced MSE Cost Function and Nearest Neighbor Editing for Handling Class Overlap and Class Imbalance. - Roberto Alejo; José Martínez Sotoca; Vicente García 001; Rosa Maria Valdovinos (IWANN (1), 2011)

Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification. - José Salvador Sánchez 001; Vicente García 001; Ramón Alberto Mollineda (MLDM, 2011)

Improving Risk Predictions by Preprocessing Imbalanced Credit Data. - Vicente García 001; Ana Isabel Marqués; José Salvador Sánchez 001 (ICONIP (2), 2012)

Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods. - José Salvador Sánchez 001; Vicente García 001; Ana Isabel Marqués (ICONIP (2), 2012)

On the Suitability of Numerical Performance Measures for Class Imbalance Problems. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (ICPRAM (1), 2012)

Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study. - Mónica Millán-Giraldo; Vicente García 001; José Salvador Sánchez 001 (ICPRAM (1), 2012)

Non-invasive Melanoma Diagnosis using Multispectral Imaging. - Ianisse Quinzán Suárez; Pedro Latorre-Carmona; Pedro García-Sevilla; Enrique Boldo; Filiberto Pla; Vicente García Jiménez; Rafael Lozoya; Guillermo Pérez de Lucía (ICPRAM (1), 2012)

Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring. - Vicente García 001; A. I. Marqués; J. Salvador Sánchez 001 (IS-MiS, 2012)

One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices. - Mónica Millán-Giraldo; Vicente García 001; José Salvador Sánchez 001 (SSPR/SPR, 2012)

On the use of data filtering techniques for credit risk prediction with instance-based models. - Vicente García 001; A. I. Marqués; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

Exploring the behaviour of base classifiers in credit scoring ensembles. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

Two-level classifier ensembles for credit risk assessment. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (Knowl. Based Syst., 2012)

Surrounding neighborhood-based SMOTE for learning from imbalanced data sets. - Vicente García 001; José Salvador Sánchez 001; Raúl Martín-Félez; Ramón Alberto Mollineda (Prog. Artif. Intell., 2012)

Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study. - Laura Cleofas-Sánchez; Vicente García 001; Raúl Martín-Félez; Rosa M. Valdovinos R.; José Salvador Sánchez 001; Oscar Camacho Nieto (MCPR, 2013)

On the suitability of resampling techniques for the class imbalance problem in credit scoring. - Ana Isabel Marqués; Vicente García 001; José Salvador Sánchez 001 (J. Oper. Res. Soc., 2013)

A literature review on the application of evolutionary computing to credit scoring. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (J. Oper. Res. Soc., 2013)

A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios. - Roberto Alejo; Rosa Maria Valdovinos; Vicente García 001; J. H. Pacheco-Sanchez (Pattern Recognit. Lett., 2013)

A bias correction function for classification performance assessment in two-class imbalanced problems. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (Knowl. Based Syst., 2014)

Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise. - Vicente García 001; José Salvador Sánchez 001; Humberto de Jesús Ochoa Domínguez; Laura Cleofas-Sánchez (IbPRIA, 2015)

Mapping microarray gene expression data into dissimilarity spaces for tumor classification. - Vicente García 001; José Salvador Sánchez 001 (Inf. Sci., 2015)

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. - Vicente García 001; Ana Isabel Marqués; José Salvador Sánchez 001 (J. Intell. Inf. Syst., 2015)

An Efficient Over-sampling Approach Based on Mean Square Error Back-propagation for Dealing with the Multi-class Imbalance Problem. - Roberto Alejo; Vicente García 001; J. Horacio Pacheco-Sánchez (Neural Process. Lett., 2015)

Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings. - Vicente García 001; Ana Isabel Marqués; Laura Cleofas-Sánchez; José Salvador Sánchez 001 (HAIS, 2016)

Financial distress prediction using the hybrid associative memory with translation. - Laura Cleofas-Sánchez; Vicente García 001; A. I. Marqués; José Salvador Sánchez 001 (Appl. Soft Comput., 2016)

Associative learning on imbalanced environments: An empirical study. - Laura Cleofas-Sánchez; José Salvador Sánchez 001; Vicente García 001; Rosa M. Valdovinos R. (Expert Syst. Appl., 2016)

An Insight on the 'Large G, Small n' Problem in Gene-Expression Microarray Classification. - Vicente García 001; José Salvador Sánchez 001; Laura Cleofas-Sánchez; Humberto de Jesús Ochoa Domínguez; Francisco López-Orozco (IbPRIA, 2017)

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. - Roberto Contreras; Alberto Ochoa 002; Edgar Cossio; Vicente García 001; Diego Oliva; Raul Torres (IBICA, 2018)

Addressing the Links Between Dimensionality and Data Characteristics in Gene-Expression Microarrays. - J. Salvador Sánchez 001; Vicente García 001 (LOPAL, 2018)

A regression model based on the nearest centroid neighborhood. - Vicente García 001; J. Salvador Sánchez 001; A. I. Marqués; Rafael Martínez-Peláez (Pattern Anal. Appl., 2018)

Minería de opiniones aplicada a la evaluación docente de la UACJ. - Rafael Jiménez Castro; Vicente García 001; Rogelio Florencia Juárez; Gilberto Rivera Zárate; Francisco López-Orozco (Res. Comput. Sci., 2018)

Interfaz de lenguaje natural para consultar cubos multidimensionales utilizando procesamiento analítico en línea. - J. A. Porras Medrano; Rogelio Florencia Juárez; Gilberto Rivera Zárate; Vicente García Jiménez (Res. Comput. Sci., 2018)

Instance Selection for the Nearest Neighbor Classifier: Connecting the Performance to the Underlying Data Structure. - Vicente García 001; José Salvador Sánchez 001; Alberto Ochoa Ortíz; Abraham López-Najera (IbPRIA (1), 2019)

Empirical Study of the Associative Approach in the Context of Classification Problems. - Laura Cleofas-Sánchez; Anabel Pineda Briseño; Rosa María Valdovinos Rosas; José Salvador Sánchez 001; Vicente García Jiménez; Oscar Camacho Nieto; Héctor M. Pérez Meana; Mariko Nakano-Miyatake (Computación y Sistemas, 2019)

Application of IoT with haptics interface in the smart manufacturing industry. - Roberto A. Contreras-Massé; Alberto Ochoa-Zezzatti; Vicente García 001; José Mejía 001; Saúl González (Int. J. Comb. Optim. Probl. Informatics, 2019)

Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction. - Vicente García 001; Ana Isabel Marqués; J. Salvador Sánchez 001 (Inf. Fusion, 2019)

Using regression models for predicting the product quality in a tubing extrusion process. - Vicente García 001; J. Salvador Sánchez 001; Luis Alberto Rodríguez-Picón; Luis Carlos Méndez-González; Humberto de Jesús Ochoa Domínguez (J. Intell. Manuf., 2019)

Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory. - Laura Cleofas-Sánchez; J. Salvador Sánchez 001; Vicente García 001 (Prog. Artif. Intell., 2019)

Predicting Airline Customer Satisfaction using k-nn Ensemble Regression Models. - Vicente García 001; Rogelio Florencia Juárez; Julia Patricia Sánchez-Solís; Gilberto Rivera Zárate; Roberto A. Contreras-Massé (Res. Comput. Sci., 2019)

Selection of IoT Platform with Multi-Criteria Analysis: Defining Criteria and Experts to Interview. - Roberto A. Contreras-Massé; Alberto Ochoa-Zezzatti; Vicente García 001; Mayra Elizondo-Cortés (Res. Comput. Sci., 2019)

An Enhanced Lightweight IoT-based Authentication Scheme in Cloud Computing Circumstances. - Rafael Martínez-Peláez; Homero Toral-Cruz; Jorge R. Parra-Michel; Vicente García 001; Luis J. Mena; Vanessa G. Felix; Alberto M. Ochoa-Brust (Sensors, 2019)

Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data. - Vicente García 001; J. Salvador Sánchez 001; A. I. Marqués; Rogelio Florencia Juárez; Gilberto Rivera Zárate (Expert Syst. Appl., 2020)

Editorial for Volume 11 Number 1: Signal Processing and Production Processes in Advanced Engineering. - Vianey G. Cruz Sánchez; Humberto de Jesús Ochoa Domínguez; Osslan Osiris Vergara-Villegas; Vicente García Jiménez (Int. J. Comb. Optim. Probl. Informatics, 2020)

Ranking-based MCDM models in financial management applications: analysis and emerging challenges. - Ana Isabel Marqués; Vicente García 001; José Salvador Sánchez 001 (Prog. Artif. Intell., 2020)

Predicción del éxito de proyectos de videojuegos en Kickstarter con aprendizaje automático. - Salvador Nevarez-Castellanos; Vicente García 001; Gilberto Rivera; Rogelio Florencia; Julia Patricia Sánchez-Solís; Alberto Ochoa-Zezzatti (Res. Comput. Sci., 2020)

Convolutional Neural Network in a Pseudo-Distributed Environment for Classification of Chest X-Ray Images of Patients with Pneumonia. - Alexandra K. Medrano Roldán; Julia Patricia Sánchez-Solís; Vicente García Jiménez; Rogelio Florencia Juárez; Gilberto Rivera Zárate (Res. Comput. Sci., 2020)

Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing. - Roberto A. Contreras-Massé; Alberto Ochoa-Zezzatti; Vicente García 001; Luis Asunción Pérez Dominguez; Mayra Elizondo-Cortés (Symmetry, 2020)

Deep Neural Network to Detect Gender Violence on Mexican Tweets. - Grisel Miranda; Roberto Alejo; Carlos Castorena; Eréndira Rendón; Javier Illescas; Vicente García 001 (IWAIPR, 2021)

Revisiting the Dissimilarity Representation in the Context of Regression. - Vicente García 001; J. Salvador Sánchez 001; Rafael Martínez-Peláez; Luis Carlos Méndez-González (IEEE Access, 2021)

Auto-adaptive multilayer perceptron for univariate time series classification. - Felipe Arias Del Campo; Cristina Guevara Neri; Osslan Osiris Vergara-Villegas; Vianey Guadalupe Cruz Sánchez; Humberto de Jesús Ochoa Domínguez; Vicente García Jiménez (Expert Syst. Appl., 2021)

Editorial: From traditional Information Technology to Serverless. A novel approach to monitor mobile phones using concepts and principles of Industrial Internet of Things. - Roberto A. Contreras-Massé; Alberto Ochoa-Zezzatti; Mayra Elizondo-Cortés; Vianey Torres-Argüelles; Vicente García Jiménez; José Mejía 001 (Int. J. Comb. Optim. Probl. Informatics, 2021)

A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality. - A. Bolívar; Vicente García 001; Rogelio Florencia; Roberto Alejo; Gilberto Rivera Zárate; Julia Patricia Sánchez-Solís (MCPR, 2022)

Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19. - Ricardo Mar-Cupido; Vicente García 001; Gilberto Rivera; J. Salvador Sánchez 001 (Appl. Soft Comput., 2022)

Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application. - Gilberto Rivera; Raúl Porras; Julia Patricia Sánchez-Solís; Rogelio Florencia; Vicente García 001 (Eng. Appl. Artif. Intell., 2022)

Uso de series temporales para el análisis y predicción de consumo de materia prima en la industria maquiladora. - Hugo Alberto Morales Casas; Francisco López-Orozco; Vicente García Jiménez (Res. Comput. Sci., 2022)

A reliability analysis for electronic devices under an extension of exponentiated perks distribution. - Luis Carlos Méndez-González; Luis Alberto Rodríguez-Picón; Iván Juan Carlos Pérez-Olguín; Vicente García 001; Abel Eduardo Quezada-Carreón (Qual. Reliab. Eng. Int., 2023)

Using Compensatory Fuzzy Logic to Model an Investor's Preference Regarding Portfolio Stock Selection within Markowitz's Mean-Variance Framework. - Luis Cisneros; Raúl Porras; Gilberto Rivera; Rafael A. Espin-Andrade; Vicente García 001 (Computación y Sistemas (CyS), 2024)

A survey on uncertainty quantification in deep learning for financial time series prediction. - Txus Blasco; J. Salvador Sánchez 001; Vicente García 001 (Neurocomputing, 2024)

Empirical study of editing sampling on deep learning hidden layers space to classify imbalanced hyperspectral remote sensing images. - Daniel Cervantes Ambriz; Everardo Efrén Granda-Gutiérrez; Carlos Mauricio Castorena Lara; Roberto Alejo Eleuterio; Federico Del Razo López; Vicente García Jiménez (Int. J. Comb. Optim. Probl. Informatics, 2025)