Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification. - José Salvador Sánchez 001; Ricardo Barandela; A. I. Marqués; Roberto Alejo (SIBGRAPI, 2001)

Correccion de la Muestra para el Aprendizaje del Perceptron Multicapa. - Ricardo Barandela; Eduardo Gasca; Roberto Alejo (Inteligencia Artif., 2001)

Analysis of new techniques to obtain quality training sets. - José Salvador Sánchez 001; Ricardo Barandela; A. I. Marqués; Roberto Alejo; Jorge Badenas (Pattern Recognit. Lett., 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)

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)

An Empirical Study for the Multi-class Imbalance Problem with Neural Networks. - Roberto Alejo; José Martínez Sotoca; Gustavo A. Casañ (CIARP, 2008)

The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks. - Roberto Alejo; José Martínez Sotoca; Rosa Maria Valdovinos; Gustavo A. Casañ (ISNN (4), 2009)

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

Edited Nearest Neighbor Rule for Improving Neural Networks Classifications. - Roberto Alejo; José Martínez Sotoca; Rosa Maria Valdovinos; P. Toribio (ISNN (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)

Análisis del error en redes neuronales: Corrección de los datos y distribuciones no balanceadas. - Roberto Alejo (2010)

Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context. - Roberto Alejo; P. Toribio; José Martínez Sotoca; Rosa Maria Valdovinos; Eduardo Gasca (ISNN (2), 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)

Using Gabriel graphs in Borderline-SMOTE to deal with severe two-class imbalance problems on neural networks. - P. Toribio; Roberto Alejo; Rosa Maria Valdovinos; J. H. Pacheco-Sanchez (CCIA, 2012)

A Modified Back-Propagation Algorithm to Deal with Severe Two-Class Imbalance Problems on Neural Networks. - Roberto Alejo; P. Toribio; Rosa Maria Valdovinos; J. H. Pacheco-Sanchez (MCPR, 2012)

Assessments Metrics for Multi-class Imbalance Learning: A Preliminary Study. - Roberto Alejo; J. A. Antonio; Rosa Maria Valdovinos; J. H. Pacheco-Sanchez (MCPR, 2013)

Applicability of Cluster Validation Indexes for Large Data Sets. - Mónica Santibáñez; Rosa Maria Valdovinos; Adrián Trueba; Eréndira Rendón; Roberto Alejo; E. López (MICAI (Special Sessions), 2013)

Tratamiento del desbalance en problemas con múltiples clases con ECOC. - Rosa Maria Valdovinos; Rosalinda Abad Sánchez; Roberto Alejo; Edgar Herrera; Adrián Trueba (Computación y Sistemas, 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)

Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context. - Juan Pablo Sánchez-Crisostomo; Roberto Alejo; Erika López-González; Rosa Maria Valdovinos; J. Horacio Pacheco-Sánchez (ICSI (2), 2014)

Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain. - Roberto Alejo; Juan Monroy-de-Jesús; J. Horacio Pacheco-Sánchez; Rosa Maria Valdovinos; Juan Alberto Antonio Velázquez; José Raymundo Marcial-Romero (CIARP, 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)

Análisis de deserción escolar con minería de datos. - José Luis Aguirre Mendiola; Rosa María Valdovinos Rosas; Juan Alberto Antonio Velázquez; Roberto Alejo Eleuterio; José Raymundo Marcial-Romero (Res. Comput. Sci., 2015)

A Linear Time Algorithm for Solving #2SAT on Cactus Formulas. - M. A. López; José Raymundo Marcial-Romero; Guillermo De Ita Luna; Héctor A. Montes Venegas; Roberto Alejo (CoRR, 2017)

An improved dynamic sampling back-propagation algorithm based on mean square error to face the multi-class imbalance problem. - Roberto Alejo; Juan Monroy-de-Jesús; Juan Carlos Ambriz-Polo; J. H. Pacheco-Sanchez (Neural Comput. Appl., 2017)

Minería de datos aplicada para la identificación de factores de riesgo en alumnos. - Adriana Reyes-Nava; Allan Flores-Fuentes; Roberto Alejo; Eréndira Rendón Lara (Res. Comput. Sci., 2017)

Using Deep Learning to Classify Class Imbalanced Gene-Expression Microarrays Datasets. - Adriana Reyes-Nava; H. Cruz-Reyes; Roberto Alejo; Eréndira Rendón Lara; Allan Antonio Flores Fuentes; Everardo Efrén Granda-Gutiérrez (CIARP, 2018)

Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays. - Adriana Reyes-Nava; J. Salvador Sánchez 001; Roberto Alejo; Allan Flores-Fuentes; Eréndira Rendón Lara (MCPR, 2018)

Bayesian Learning on Discrete Systems of Two Classes. - J. Horacio Pacheco-Sánchez; R. D. Vera-Torres; Roberto Alejo Eleuterio (Int. J. Pattern Recognit. Artif. Intell., 2018)

Estudio del desbalance de clases en bases de datos de microarrays de expresión genética mediante técnicas de Deep Learning. - H. Cruz-Reyes; Adriana Reyes-Nava; Eréndira Rendón Lara; Roberto Alejo (Res. Comput. Sci., 2018)

Entornos de trabajo para procesamiento de datos masivos y aprendizaje automático. - Angélica Guzmán Ponce; Rosa María Valdovinos Rosas; José Raymundo Marcial-Romero; Roberto Alejo Eleuterio (Res. Comput. Sci., 2018)

Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks. - V. M. González-Barcenas; Eréndira Rendón; Roberto Alejo; Everardo Efrén Granda-Gutiérrez; Rosa Maria Valdovinos (IbPRIA (1), 2019)

A Metaheuristic Algorithm to Face the Graph Coloring Problem. - Angélica Guzmán Ponce; José Raymundo Marcial-Romero; Rosa Maria Valdovinos; Roberto Alejo; Everardo Efrén Granda-Gutiérrez (HAIS, 2020)

Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico. - Graciela García-Rueda; Rosa Maria Valdovinos; Jesús Valdés-González; Roberto Alejo; J. Leonardo González-Ruiz; José Raymundo Marcial-Romero (MCPR, 2020)

Redes neuronales artificiales y árboles de decisión para la clasificación con datos categóricos. - C. Guadalupe Origel-Rivas; Eréndira Rendón Lara; Itzel Abundez Barrera; Roberto Alejo Eleuterio (Res. Comput. Sci., 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)

Artificial Neural Networks for COVID-19 Forecasting in Mexico: An Empirical Study. - Carlos Castorena; Roberto Alejo; Eréndira Rendón; Everardo Efrén Granda-Gutiérrez; Rosa Maria Valdovinos; Grisel Miranda-Piña (ICIC (1), 2022)

Clustering Analysis in the Student Academic Activities on COVID-19 Pandemic in Mexico. - Grisel Miranda-Piña; Roberto Alejo; Eréndira Rendón; Everardo Efrén Granda-Gutiérrez; Rosa Maria Valdovinos; F. del Razo-López (ICIC (3), 2022)

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)

Empirical Analysis on the Effectiveness of Pre-trained Models in the Identification of Physical Violence Against Women in Videos for a Multi-class Approach. - Itzel Abundez Barrera; Grisel Miranda-Piña; Roberto Alejo; Everardo Efrén Granda-Gutiérrez; A. Cisniega; Otniel Portillo-Rodríguez (DMBD (1), 2023)

Threshold Active Learning Approach for Physical Violence Detection on Images Obtained from Video (Frame-Level) Using Pre-Trained Deep Learning Neural Network Models. - Itzel M. Abundez B.; Roberto Alejo; Francisco Primero Primero; Everardo Efrén Granda-Gutiérrez; Otniel Portillo-Rodríguez; Juan Alberto Antonio Velázquez (Algorithms, 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)