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R.M. Valdovinos
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Year
The imbalanced training sample problem: Under or over sampling?
R Barandela, RM Valdovinos, JS Sánchez, FJ Ferri
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2004
3312004
New applications of ensembles of classifiers
R Barandela, RM Valdovinos, JS Sánchez
Pattern Analysis & Applications 6, 245-256, 2003
3282003
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
R Alejo, RM Valdovinos, V García, JH Pacheco-Sanchez
Pattern Recognition Letters 34 (4), 380-388, 2013
792013
DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem
A Guzmán-Ponce, JS Sánchez, RM Valdovinos, JR Marcial-Romero
Expert Systems with Applications 168, 114301, 2021
642021
Edited nearest neighbor rule for improving neural networks classifications
R Alejo, JM Sotoca, RM Valdovinos, P Toribio
Advances in Neural Networks-ISNN 2010: 7th International Symposium on Neural …, 2010
432010
Dynamic and static weighting in classifier fusion
RM Valdovinos, JS Sánchez, R Barandela
Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA …, 2005
412005
Combining multiple classifiers with dynamic weighted voting
RM Valdovinos, JS Sanchez
Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009
362009
Combining multiple classifiers with dynamic weighted voting
RM Valdovinos, JS Sanchez
Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009
362009
A new under-sampling method to face class overlap and imbalance
A Guzmán-Ponce, RM Valdovinos, JS Sánchez, JR Marcial-Romero
Applied Sciences 10 (15), 5164, 2020
332020
Class-dependant resampling for medical applications
RM Valdovinos, JS Sánchez
Fourth International Conference on Machine Learning and Applications (ICMLA …, 2005
242005
Assessments metrics for multi-class imbalance learning: A preliminary study
R Alejo, JA Antonio, RM Valdovinos, JH Pacheco-Sánchez
Mexican Conference on Pattern Recognition, 335-343, 2013
212013
Realidad virtual y entornos virtuales como apoyo al acercamiento universidad-comunidad: el caso de la Facultad de Ingeniería de la UAEMex|
CG Reyes, RMV Rosas, MS Gallegos, RA Eleuterio, VM Jiménez
Apertura 6 (1), 76-85, 2014
192014
Empirical analysis of assessments metrics for multi-class imbalance learning on the back-propagation context
JP Sánchez-Crisostomo, R Alejo, E López-González, RM Valdovinos, ...
International Conference in Swarm Intelligence, 17-23, 2014
162014
A comparison between UCB and UCB-Tuned as selection policies in GGP
I Francisco-Valencia, JR Marcial-Romero, RM Valdovinos-Rosas
Journal of Intelligent & Fuzzy Systems 36 (5), 5073-5079, 2019
142019
Associative learning on imbalanced environments: An empirical study
L Cleofas-Sánchez, JS Sánchez, V García, RM Valdovinos
Expert Systems with Applications 54, 387-397, 2016
142016
The multi-class imbalance problem: Cost functions with modular and non-modular neural networks
R Alejo, JM Sotoca, RM Valdovinos, GA Casan
The Sixth International Symposium on Neural Networks (ISNN 2009), 421-431, 2009
132009
Use of ensemble based on ga for imbalance problem
L Cleofas, RM Valdovinos, V García, R Alejo
Advances in Neural Networks–ISNN 2009: 6th International Symposium on Neural …, 2009
112009
Estimación de costos de desarrollo, caso de estudio:: Sistema de Gestión de Calidad del Reactor TRIGA Mark III
TA Antúnez Barbosa, RM Valdovinos Rosas, JR Marcial Romero, ...
Revista Cubana de Ciencias Informáticas 10 (1), 215-228, 2016
102016
Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule
RM Valdovinos, JS Sánchez
Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA …, 2007
102007
Addressing the big data multi-class imbalance problem with oversampling and deep learning neural networks
VM González-Barcenas, E Rendón, R Alejo, EE Granda-Gutiérrez, ...
Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019 …, 2019
92019
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