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 | 345 | 2004 |
New applications of ensembles of classifiers R Barandela, RM Valdovinos, JS Sánchez Pattern Analysis & Applications 6, 245-256, 2003 | 338 | 2003 |
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 | 84 | 2013 |
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 | 75 | 2021 |
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 | 44 | 2010 |
Dynamic and static weighting in classifier fusion RM Valdovinos, JS Sánchez, R Barandela Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA …, 2005 | 42 | 2005 |
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 | 39 | 2020 |
Combining multiple classifiers with dynamic weighted voting RM Valdovinos, JS Sanchez Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009 | 37 | 2009 |
Class-dependant resampling for medical applications RM Valdovinos, JS Sánchez Fourth International Conference on Machine Learning and Applications (ICMLA …, 2005 | 24 | 2005 |
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 | 21 | 2013 |
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 | 19 | 2014 |
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 | 17 | 2014 |
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 | 15 | 2019 |
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 | 13 | 2016 |
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 | 13 | 2016 |
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 | 13 | 2009 |
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 | 11 | 2019 |
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 | 11 | 2009 |
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 | 10 | 2013 |
Using Gabriel graphs in Borderline-SMOTE to deal with severe two-class imbalance problems on neural networks P Toribio, R Alejo, RM Valdovinos, JH Pacheco-Sanchez Artificial Intelligence Research and Development, 29-36, 2012 | 10 | 2012 |