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ORCIDRosa Maria Valdovinos
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Books and Theses
- 2006
[b1]Rosa Maria Valdovinos:
Técnicas de submuestreo, Toma de decisiones y Análisis de diversidad en aprendisaje supervisado con Sistemas Múltiples de Clasificación. Jaume I University, Spain, 2006
Journal Articles
- 2021
- [j12]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: 114301 (2021) - 2020
- [j11]Gretel Bernal Baró, José Francisco Martínez Trinidad, Rosa María Valdovinos Rosas, Jesús Ariel Carrasco-Ochoa, Ansel Y. Rodríguez González, Manuel S. Lazo-Cortés:
A PSO-based algorithm for mining association rules using a guided exploration strategy. Pattern Recognit. Lett. 138: 8-15 (2020) - 2019
- [j10]Laura Cleofas-Sánchez, Anabel Pineda Briseño, Rosa María Valdovinos Rosas, José Salvador Sánchez, Vicente García Jiménez, Oscar Camacho Nieto, Héctor M. Pérez Meana, Mariko Nakano-Miyatake:
Empirical Study of the Associative Approach in the Context of Classification Problems. Computación y Sistemas 23(2): 601-618 (2019) - [j9]Iván Francisco-Valencia, José Raymundo Marcial-Romero, Rosa María Valdovinos Rosas:
A comparison between UCB and UCB-Tuned as selection policies in GGP. J. Intell. Fuzzy Syst. 36(5): 5073-5079 (2019) - 2018
- [j8]Angélica Guzmán Ponce, Rosa María Valdovinos Rosas, José Raymundo Marcial-Romero, Roberto Alejo Eleuterio:
Entornos de trabajo para procesamiento de datos masivos y aprendizaje automático. Res. Comput. Sci. 147(5): 225-237 (2018) - [j7]Iván Francisco-Valencia, José Raymundo Marcial-Romero, Rosa María Valdovinos Rosas:
Upper Confidence Bound o Upper Cofidence Bound Tuned para General Game Playing: Un estudio empírico. Res. Comput. Sci. 147(8): 301-309 (2018) - 2016
- [j6]Laura Cleofas-Sánchez, José Salvador Sánchez, Vicente García, Rosa M. Valdovinos R.:
Associative learning on imbalanced environments: An empirical study. Expert Syst. Appl. 54: 387-397 (2016) - 2015
- [j5]Jaquelinne Dominguez Nava, Juan Carlos Acosta Guadarrama, Rosa María Valdovinos Rosas, Victor H. Solis Ramos, Nely Plata César, Leticia Quintanar Rebollar, Rogelio Dávila-Pérez:
A Brief History of Computing in Mexico. IEEE Ann. Hist. Comput. 37(4): 76-86 (2015) - [j4]José Luis Aguirre Mendiola, Rosa María Valdovinos Rosas, Juan Alberto Antonio Velázquez, Roberto Alejo Eleuterio, José Raymundo Marcial-Romero:
Análisis de deserción escolar con minería de datos. Res. Comput. Sci. 93: 71-82 (2015) - 2013
- [j3]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) - [j2]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): 380-388 (2013) - 2003
- [j1]Ricardo Barandela, Rosa Maria Valdovinos, José Salvador Sánchez:
New Applications of Ensembles of Classifiers. Pattern Anal. Appl. 6(3): 245-256 (2003)
Conference and Workshop Papers
- 2022
- [c36]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: 67-79 - [c35]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: 168-179 - 2020
- [c34]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: 195-208 - [c33]Angélica Guzmán Ponce, Rosa Maria Valdovinos, J. Salvador Sánchez:
A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data. HAIS 2020: 299-311 - [c32]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: 45-56 - 2019
- [c31]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: 216-224 - [c30]Angélica Guzmán Ponce, José Raymundo Marcial-Romero, Rosa María Valdovinos Rosas, J. Salvador Sánchez:
Weighted Complete Graphs for Condensing Data. LANMR (Selected Papers) 2019: 45-60 - [c29]Iván Francisco-Valencia, José Raymundo Marcial-Romero, Rosa María Valdovinos Rosas:
Some Variations of Upper Confidence Bound for General Game Playing. MCPR 2019: 68-79 - 2018
- [c28]Carlos Ramírez Piña, José Salvador Sánchez, Rosa María Valdovinos Rosas, José Antonio Hernández Servín:
A Hybrid Feature Extraction Method for Offline Handwritten Math Symbol Recognition. CIARP 2018: 893-901 - 2017
- [c27]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: 22-31 - [c26]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: 95-106 - 2016
- [c25]Elias Franck 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: 50-57 - [c24]Carlos Ramírez Piña, Vianney Muñoz-Jiménez, Rosa María Valdovinos Rosas, José Antonio Hernández Servín:
A simplied feature vector obtained by wavelets method for fast and accurate recognition of handwritten characters off-line. LANMR 2016: 90-97 - [c23]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: 106-110 - 2015
- [c22]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: 699-707 - [c21]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: 202-213 - 2014
- [c20]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: 17-23 - 2013
- [c19]Laura Cleofas-Sánchez, Vicente García, Raúl Martín-Félez, Rosa M. Valdovinos R., José Salvador Sánchez, Oscar Camacho Nieto:
Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study. MCPR 2013: 325-334 - [c18]Roberto Alejo, J. A. Antonio, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez:
Assessments Metrics for Multi-class Imbalance Learning: A Preliminary Study. MCPR 2013: 335-343 - [c17]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: 187-193 - 2012
- [c16]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: 29-36 - [c15]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: 265-272 - 2011
- [c14]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:
A Rejection Option for the Multilayer Perceptron Using Hyperplanes. ICANNGA (1) 2011: 51-60 - [c13]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: 19-26 - [c12]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: 199-206 - 2010
- [c11]Roberto Alejo, José Martínez Sotoca, Rosa Maria Valdovinos, P. Toribio:
Edited Nearest Neighbor Rule for Improving Neural Networks Classifications. ISNN (1) 2010: 303-310 - [c10]Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos:
Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems. MCPR 2010: 180-188 - 2009
- [c9]Rosa Maria Valdovinos, José Salvador Sánchez:
Combining Multiple Classifiers with Dynamic Weighted Voting. HAIS 2009: 510-516 - [c8]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: 421-431 - [c7]Laura Cleofas, Rosa Maria Valdovinos, Vicente García, Roberto Alejo:
Use of Ensemble Based on GA for Imbalance Problem. ISNN (2) 2009: 547-554 - 2008
- [c6]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: 4179-4183 - 2007
- [c5]Rosa Maria Valdovinos, José Salvador Sánchez:
Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule. IbPRIA (1) 2007: 105-112 - [c4]Rosa Maria Valdovinos, José Salvador Sánchez, Eduardo Gasca:
Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles. IbPRIA (2) 2007: 250-257 - 2005
- [c3]Rosa Maria Valdovinos, José Salvador Sánchez, Ricardo Barandela:
Dynamic and Static Weighting in Classifier Fusion. IbPRIA (2) 2005: 59-66 - [c2]Rosa Maria Valdovinos, José Salvador Sánchez:
Class-dependant resampling for medical applications. ICMLA 2005 - 2004
- [c1]Ricardo Barandela, Rosa Maria Valdovinos, José Salvador Sánchez, Francesc J. Ferri:
The Imbalanced Training Sample Problem: Under or over Sampling? SSPR/SPR 2004: 806
Coauthor Index
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