R.M. Valdovinos
Title
Cited by
Cited by
Year
The imbalanced training sample problem: Under or over sampling?
R Barandela, RM Valdovinos, JS Sánchez, FJ Ferri
Joint IAPR international workshops on statistical techniques in pattern …, 2004
2532004
New applications of ensembles of classifiers
R Barandela, RM Valdovinos, JS Sánchez
Pattern Analysis & Applications 6 (3), 245-256, 2003
2502003
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
552013
Dynamic and static weighting in classifier fusion
RM Valdovinos, JS Sánchez, R Barandela
Iberian conference on Pattern recognition and image analysis, 59-66, 2005
362005
Combining multiple classifiers with dynamic weighted voting
RM Valdovinos, JS Sanchez
International Conference on Hybrid Artificial Intelligence Systems, 510-516, 2009
312009
Combining multiple classifiers with dynamic weighted voting
RM Valdovinos, JS Sanchez
International Conference on Hybrid Artificial Intelligence Systems, 510-516, 2009
312009
Class-dependant resampling for medical applications
RM Valdovinos, JS Sánchez
Fourth International Conference on Machine Learning and Applications (ICMLA …, 2005
242005
Edited nearest neighbor rule for improving neural networks classifications
R Alejo, JM Sotoca, RM Valdovinos, P Toribio
International Symposium on Neural Networks, 303-310, 2010
192010
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
122014
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
112016
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
112013
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
102014
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
102009
Performance analysis of classifier ensembles: neural networks versus nearest neighbor rule
RM Valdovinos, JS Sánchez
Iberian Conference on Pattern Recognition and Image Analysis, 105-112, 2007
102007
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
92016
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
82021
Use of Ensemble Based on GA for Imbalance Problem
L Cleofas, RM Valdovinos, V García, R Alejo
International Symposium on Neural Networks, 547-554, 2009
82009
A parametric polynomial deterministic algorithm for# 2SAT
JR Marcial-Romero, GDI Luna, JA Hernández, RM Valdovinos
Mexican International Conference on Artificial Intelligence, 202-213, 2015
72015
Applicability of cluster validation indexes for large data sets
MS Sánchez, RM Valdovinos, A Trueba, E Rendón, R Alejo, E Lopez
2013 12th Mexican International Conference on Artificial Intelligence, 187-193, 2013
72013
Ensembles of multilayer perceptron and modular neural networks for fast and accurate learning
RM Valdovinos, JS Sanchez
2006 Fifth Mexican International Conference on Artificial Intelligence, 229-236, 2006
72006
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Articles 1–20