New Applications of Ensembles of Classifiers. - Ricardo Barandela; Rosa Maria Valdovinos; José Salvador Sánchez 001 (Pattern Anal. Appl., 2003)

The Imbalanced Training Sample Problem: Under or over Sampling? - Ricardo Barandela; Rosa Maria Valdovinos; José Salvador Sánchez 001; Francesc J. Ferri (SSPR/SPR, 2004)

Dynamic and Static Weighting in Classifier Fusion. - Rosa Maria Valdovinos; José Salvador Sánchez 001; Ricardo Barandela (IbPRIA (2), 2005)

Class-dependant resampling for medical applications. - Rosa Maria Valdovinos; José Salvador Sánchez 001 (ICMLA, 2005)

Técnicas de submuestreo, Toma de decisiones y Análisis de diversidad en aprendisaje supervisado con Sistemas Múltiples de Clasificación. - Rosa Maria Valdovinos (2006)

Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule. - Rosa Maria Valdovinos; José Salvador Sánchez 001 (IbPRIA (1), 2007)

Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles. - Rosa Maria Valdovinos; José Salvador Sánchez 001; Eduardo Gasca (IbPRIA (2), 2007)

Comparative study of Genetic Algorithms and resampling methods for ensemble constructing. - R. I. Diaz; Rosa Maria Valdovinos; J. H. Pacheco-Sanchez (IEEE Congress on Evolutionary Computation, 2008)

Combining Multiple Classifiers with Dynamic Weighted Voting. - Rosa Maria Valdovinos; José Salvador Sánchez 001 (HAIS, 2009)

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)

A Rejection Option for the Multilayer Perceptron Using Hyperplanes. - Eduardo Gasca; Sergio Saldaña T.; José S. Sánchez G.; Valentín Velásquez G.; Eréndira Rendón Lara; Itzel M. Abundez B.; Rosa M. Valdovinos R.; José Rafael Cruz Reyes (ICANNGA (1), 2011)

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)

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)

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)

A Parametric Polynomial Deterministic Algorithm for #2SAT. - José Raymundo Marcial-Romero; Guillermo De Ita Luna; José Antonio Hernández Servín; Rosa Maria Valdovinos (MICAI (1), 2015)

A Brief History of Computing in Mexico. - Jaquelinne Dominguez Nava; Juan Carlos Acosta Guadarrama; Rosa María Valdovinos Rosas; Victor H. Solis Ramos; Nely Plata César; Leticia Quintanar Rebollar; Rogelio Dávila-Pérez (IEEE Ann. Hist. Comput., 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 simplied feature vector obtained by wavelets method for fast and accurate recognition of handwritten characters off-line. - Carlos Ramírez Piña; Vianney Muñoz-Jiménez; Rosa María Valdovinos Rosas; José Antonio Hernández Servín (LANMR, 2016)

A Multiple classifier system for fast an accurate learning in neural network context. - Elias Franck Romero; Rosa Maria Valdovinos; José Raymundo Marcial-Romero; Jesús Ariel Carrasco-Ochoa (LANMR, 2016)

A Polynomial Time Algorithm for Counting the Number of Independent Sets of Cactus Graphs. - José Raymundo Marcial-Romero; Guillermo De Ita Luna; Aurelio López-López; Rosa Maria Valdovinos (MICAI (Special Session), 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)

Extending Extremal Polygonal Arrays for the Merrifield-Simmons Index. - Guillermo De Ita Luna; José Raymundo Marcial-Romero; José Antonio Hernández Servín; Rosa Maria Valdovinos; Marcelo Romero (MCPR, 2017)

A Fast and Efficient Method for #2SAT via Graph Transformations. - Marco A. López Medina; José Raymundo Marcial-Romero; Guillermo De Ita; Rosa Maria Valdovinos (MICAI (1), 2017)

A Hybrid Feature Extraction Method for Offline Handwritten Math Symbol Recognition. - Carlos Ramírez Piña; José Salvador Sánchez 001; Rosa María Valdovinos Rosas; José Antonio Hernández Servín (CIARP, 2018)

Upper Confidence Bound o Upper Cofidence Bound Tuned para General Game Playing: Un estudio empírico. - Iván Francisco-Valencia; José Raymundo Marcial-Romero; Rosa María Valdovinos Rosas (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)

Weighted Complete Graphs for Condensing Data. - Angélica Guzmán Ponce; José Raymundo Marcial-Romero; Rosa María Valdovinos Rosas; J. Salvador Sánchez 001 (LANMR (Selected Papers), 2019)

Some Variations of Upper Confidence Bound for General Game Playing. - Iván Francisco-Valencia; José Raymundo Marcial-Romero; Rosa María Valdovinos Rosas (MCPR, 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)

A comparison between UCB and UCB-Tuned as selection policies in GGP. - Iván Francisco-Valencia; José Raymundo Marcial-Romero; Rosa María Valdovinos Rosas (J. Intell. Fuzzy Syst., 2019)

A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data. - Angélica Guzmán Ponce; Rosa Maria Valdovinos; J. Salvador Sánchez 001 (HAIS, 2020)

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)

A PSO-based algorithm for mining association rules using a guided exploration strategy. - Gretel Bernal Baró; José Francisco Martínez Trinidad; Rosa María Valdovinos Rosas; Jesús Ariel Carrasco-Ochoa; Ansel Y. Rodríguez-González; Manuel S. Lazo-Cortés (Pattern Recognit. Lett., 2020)

DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem. - Angélica Guzmán Ponce; José Salvador Sánchez 001; Rosa Maria Valdovinos; José Raymundo Marcial-Romero (Expert Syst. Appl., 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)

Pattern Recognition in Road Safety: Uncovering the Latent Causes of Accidents on Mexico's Federal Highways. - Diana Zepeda-Martínez; Angélica Guzmán Ponce; Rosa María Valdovinos Rosas; David Joaquin Delgado Hernandez (MCPR, 2024)

X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining. - Ansel Y. Rodríguez-González; Ramón Aranda; Miguel Ángel Álvarez-Carmona; Ángel Díaz-Pacheco; Rosa María Valdovinos Rosas (ACM Trans. Knowl. Discov. Data, 2024)

Analysis of Behavioral Trends in Road Traffic Accidents: A Comparative Study Among Latin America, Australia and the UK. - Diana Zepeda-Martínez; Angélica Guzmán Ponce; Rosa María Valdovinos Rosas; Carlos Robert Fonseca-Ortiz (IbPRIA (2), 2025)

Strategic Sample Selection in Deep Learning: A Case Study on Violence Detection Using Confidence-Based Subsets. - Francisco Primero Primero; Daniel Cervantes Ambriz; Roberto Alejo Eleuterio; Everardo Efrén Granda-Gutiérrez; Jorge Sánchez Jaime; Rosa María Valdovinos Rosas (Symmetry, 2025)