Rosa Maria Valdovinos

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 13

Top Topics

Sampling Algorithm

Class Imbalance

Top Venues

Publications

Grisel Miranda-Piña, Roberto Alejo, Eréndira Rendón, Everardo Efrén Granda Gutiérrez, Rosa Maria Valdovinos, F. del Razo-López
Clustering Analysis in the Student Academic Activities on COVID-19 Pandemic in Mexico. ICIC (3) (2022)
Carlos Castorena, Roberto Alejo, Eréndira Rendón, Everardo Efrén Granda Gutiérrez, Rosa Maria Valdovinos, Grisel Miranda-Piña
Artificial Neural Networks for COVID-19 Forecasting in Mexico: An Empirical Study. ICIC (1) (2022)
Angélica Guzmán Ponce, José Salvador Sánchez, Rosa Maria Valdovinos, José Raymundo Marcial-Romero
DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem. Expert Syst. Appl. 168 (2021)
Angélica Guzmán Ponce, Rosa Maria Valdovinos, J. Salvador Sánchez
A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data. HAIS (2020)
Angélica Guzmán Ponce, José Raymundo Marcial-Romero, Rosa Maria Valdovinos, Roberto Alejo, Everardo Efrén Granda Gutiérrez
A Metaheuristic Algorithm to Face the Graph Coloring Problem. HAIS (2020)
Graciela García-Rueda, Rosa Maria Valdovinos, Jesús Valdés-González, Roberto Alejo, J. Leonardo González-Ruiz, José Raymundo Marcial-Romero
Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico. MCPR (2020)
V. M. González-Barcenas, Eréndira Rendón, Roberto Alejo, Everardo Efrén Granda Gutiérrez, Rosa Maria Valdovinos
Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks. IbPRIA (1) (2019)
Guillermo De Ita Luna, José Raymundo Marcial-Romero, José Antonio Hernández Servín, Rosa Maria Valdovinos, Marcelo Romero
Extending Extremal Polygonal Arrays for the Merrifield-Simmons Index. MCPR (2017)
Marco A. López Medina, José Raymundo Marcial-Romero, Guillermo De Ita, Rosa Maria Valdovinos
A Fast and Efficient Method for #2SAT via Graph Transformations. MICAI (1) (2017)
José Raymundo Marcial-Romero, Guillermo De Ita Luna, Aurelio López-López, Rosa Maria Valdovinos
A Polynomial Time Algorithm for Counting the Number of Independent Sets of Cactus Graphs. MICAI (Special Session) (2016)
E. F. Romero, Rosa Maria Valdovinos, José Raymundo Marcial-Romero, Jesús Ariel Carrasco-Ochoa
A Multiple classifier system for fast an accurate learning in neural network context. LANMR (2016)
José Raymundo Marcial-Romero, Guillermo De Ita Luna, José Antonio Hernández Servín, Rosa Maria Valdovinos
A Parametric Polynomial Deterministic Algorithm for #2SAT. MICAI (1) (2015)
Roberto Alejo, Juan Monroy-de-Jesús, J. Horacio Pacheco-Sánchez, Rosa Maria Valdovinos, Juan Alberto Antonio Velázquez, José Raymundo Marcial-Romero
Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain. CIARP (2015)
Juan Pablo Sánchez-Crisostomo, Roberto Alejo, Erika López-González, Rosa Maria Valdovinos, J. Horacio Pacheco-Sánchez
Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context. ICSI (2) (2014)
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) (2013)
Rosa Maria Valdovinos, Rosalinda Abad Sánchez, Roberto Alejo, Edgar Herrera, Adrián Trueba
Tratamiento del desbalance en problemas con múltiples clases con ECOC. Computación y Sistemas 17 (4) (2013)
Roberto Alejo, J. A. Antonio, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
Assessments Metrics for Multi-class Imbalance Learning: A Preliminary Study. MCPR (2013)
Mónica Santibáñez, Rosa Maria Valdovinos, Adrián Trueba, Eréndira Rendón, Roberto Alejo, E. López
Applicability of Cluster Validation Indexes for Large Data Sets. MICAI (Special Sessions) (2013)
Roberto Alejo, P. Toribio, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
A Modified Back-Propagation Algorithm to Deal with Severe Two-Class Imbalance Problems on Neural Networks. MCPR (2012)
P. Toribio, Roberto Alejo, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
Using Gabriel graphs in Borderline-SMOTE to deal with severe two-class imbalance problems on neural networks. CCIA (2012)
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)
Roberto Alejo, P. Toribio, José Martínez Sotoca, Rosa Maria Valdovinos, Eduardo Gasca
Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context. ISNN (2) (2011)
Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos
Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems. MCPR (2010)
Roberto Alejo, José Martínez Sotoca, Rosa Maria Valdovinos, P. Toribio
Edited Nearest Neighbor Rule for Improving Neural Networks Classifications. ISNN (1) (2010)
Laura Cleofas, Rosa Maria Valdovinos, Vicente García, Roberto Alejo
Use of Ensemble Based on GA for Imbalance Problem. ISNN (2) (2009)
Rosa Maria Valdovinos, José Salvador Sánchez
Combining Multiple Classifiers with Dynamic Weighted Voting. HAIS (2009)
Roberto Alejo, José Martínez Sotoca, Rosa Maria Valdovinos, Gustavo A. Casañ
The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks. ISNN (4) (2009)
R. I. Diaz, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
Comparative study of Genetic Algorithms and resampling methods for ensemble constructing. IEEE Congress on Evolutionary Computation (2008)
Rosa Maria Valdovinos, José Salvador Sánchez
Nearest Neighbor Rule. IbPRIA (1) (2007)
Rosa Maria Valdovinos, José Salvador Sánchez, Eduardo Gasca
Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles. IbPRIA (2) (2007)
Rosa Maria Valdovinos, José Salvador Sánchez
Class-dependant resampling for medical applications. ICMLA (2005)
Rosa Maria Valdovinos, José Salvador Sánchez, Ricardo Barandela
Dynamic and Static Weighting in Classifier Fusion. IbPRIA (2) (2005)
Ricardo Barandela, Rosa Maria Valdovinos, José Salvador Sánchez, Francesc J. Ferri
The Imbalanced Training Sample Problem: Under or over Sampling? SSPR/SPR (2004)
Ricardo Barandela, Rosa Maria Valdovinos, José Salvador Sánchez
New Applications of Ensembles of Classifiers. Pattern Anal. Appl. 6 (3) (2003)