| Analysis of new techniques to obtain quality training sets JS Sánchez, R Barandela, AI Marqués, R Alejo, J Badenas Pattern Recognition Letters 24 (7), 1015-1022, 2003 | 230 | 2003 |
| The class imbalance problem in pattern classification and learning V Garcia, JS Sanchez, RAM Cardenas, RA Eleuterio, JM Sotoca Actas del IV Taller de Minería de Datos y Aprendizaje:[TAMIDA 2007], 283-292, 2007 | 137 | 2007 |
| Data sampling methods to deal with the big data multi-class imbalance problem E Rendon, R Alejo, C Castorena, FJ Isidro-Ortega, EE Granda-Gutierrez Applied Sciences 10 (4), 1276, 2020 | 134 | 2020 |
| 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 | 85 | 2013 |
| Combined effects of class imbalance and class overlap on instance-based classification V García, R Alejo, JS Sánchez, JM Sotoca, RA Mollineda Intelligent Data Engineering and Automated Learning–IDEAL 2006: 7th …, 2006 | 75 | 2006 |
| Improving the performance of the RBF neural networks trained with imbalanced samples R Alejo, V García, JM Sotoca, RA Mollineda, JS Sánchez Computational and Ambient Intelligence: 9th International Work-Conference on …, 2007 | 59 | 2007 |
| The class imbalance problem in pattern classification and learning R Mollineda, R Alejo, J Sotoca II Congreso Espanol de Informática (CEDI 2007). ISBN, 978-84, 2007 | 55 | 2007 |
| 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 | 45 | 2010 |
| An efficient over-sampling approach based on mean square error back-propagation for dealing with the multi-class imbalance problem R Alejo, V García, JH Pacheco-Sánchez Neural Processing Letters 42, 603-617, 2015 | 42 | 2015 |
| DFT study of hydrogen storage on the metallic decoration of boron substitution on zeolite templated carbon vacancy FJ Isidro-Ortega, JH Pacheco-Sánchez, A González-Ruíz, R Alejo International Journal of Hydrogen Energy 45 (38), 19505-19515, 2020 | 36 | 2020 |
| Deep neural network for gender-based violence detection on Twitter messages CM Castorena, IM Abundez, R Alejo, EE Granda-Gutiérrez, E Rendón, ... Mathematics 9 (8), 807, 2021 | 29 | 2021 |
| When overlapping unexpectedly alters the class imbalance effects V García, RA Mollineda, JS Sánchez, R Alejo, JM Sotoca Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA …, 2007 | 29 | 2007 |
| Improving the classification accuracy of RBF and MLP neural networks trained with imbalanced samples R Alejo, V Garcia, JM Sotoca, RA Mollineda, JS Sánchez Intelligent Data Engineering and Automated Learning–IDEAL 2006: 7th …, 2006 | 28 | 2006 |
| An empirical study for the multi-class imbalance problem with neural networks R Alejo, JM Sotoca, GA Casañ Progress in Pattern Recognition, Image Analysis and Applications: 13th …, 2008 | 27 | 2008 |
| Making accurate credit risk predictions with cost-sensitive mlp neural networks R Alejo, V García, AI Marqués, JS Sánchez, JA Antonio-Velázquez Management Intelligent Systems: Second International Symposium, 1-8, 2013 | 24 | 2013 |
| A selective dynamic sampling back-propagation approach for handling the two-class imbalance problem R Alejo, J Monroy-de-Jesús, JH Pacheco-Sánchez, E López-González, ... Applied Sciences 6 (7), 200, 2016 | 21 | 2016 |
| 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 |
| Minería de datos aplicada para la identificación de factores de riesgo en alumnos. A Reyes-Nava, A Flores-Fuentes, R Alejo, ER Lara Res. Comput. Sci. 139, 177-189, 2017 | 20 | 2017 |
| 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 | 20 | 2014 |
| Performance analysis of deep neural networks for classification of gene-expression microarrays A Reyes-Nava, JS Sánchez, R Alejo, AA Flores-Fuentes, E Rendón-Lara Pattern Recognition: 10th Mexican Conference, MCPR 2018, Puebla, Mexico …, 2018 | 19 | 2018 |
