| SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets … E Ramentol, Y Caballero, R Bello, F Herrera Knowledge and information systems 33, 245-265, 2012 | 560 | 2012 |
| Online and non-parametric drift detection methods based on Hoeffding’s bounds I Frias-Blanco, J del Campo-Ávila, G Ramos-Jimenez, R Morales-Bueno, ... IEEE Transactions on Knowledge and Data Engineering 27 (3), 810-823, 2014 | 450 | 2014 |
| IFROWANN: imbalanced fuzzy-rough ordered weighted average nearest neighbor classification E Ramentol, S Vluymans, N Verbiest, Y Caballero, R Bello, C Cornelis, ... IEEE Transactions on Fuzzy Systems 23 (5), 1622-1637, 2014 | 117 | 2014 |
| Correcting noisy ratings in collaborative recommender systems RY Toledo, YC Mota, L Martínez Knowledge-Based Systems 76, 96-108, 2015 | 104 | 2015 |
| Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm E Ramentol, I Gondres, S Lajes, R Bello, Y Caballero, C Cornelis, ... Engineering Applications of Artificial Intelligence 48, 134-139, 2016 | 92 | 2016 |
| SMOTE-FRST: a new resampling method using fuzzy rough set theory E Ramentol, N Verbiest, R Bello, Y Caballero, C Cornelis, F Herrera Uncertainty modeling in knowledge engineering and decision making, 800-805, 2012 | 57 | 2012 |
| An e-learning collaborative filtering approach to suggest problems to solve in programming online judges RY Toledo, YC Mota International Journal of Distance Education Technologies (IJDET) 12 (2), 51-65, 2014 | 54 | 2014 |
| A method to build similarity relations into extended Rough Set Theory Y Filiberto, Y Caballero, R Larrua, R Bello 2010 10th International Conference on Intelligent Systems Design and …, 2010 | 49 | 2010 |
| Using PSO and RST to predict the resistant capacity of connections in composite structures Y Filiberto, R Bello, Y Caballero, R Larrua Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), 359-370, 2010 | 43 | 2010 |
| Feature selection algorithms using rough set theory Y Caballero, D Alvarez, R Bello, MM Garcia Seventh International Conference on Intelligent Systems Design and …, 2007 | 40 | 2007 |
| A model based on ant colony system and rough set theory to feature selection R Bello, A Nowe, Y Caballero, Y Gómez, P Vrancx Proceedings of the 7th annual conference on genetic and evolutionary …, 2005 | 39 | 2005 |
| A recommender system for programming online judges using fuzzy information modeling R Yera Toledo, Y Caballero Mota, L Martínez Informatics 5 (2), 17, 2018 | 35 | 2018 |
| Fast adapting ensemble: A new algorithm for mining data streams with concept drift A Ortíz Díaz, J del Campo-Ávila, G Ramos-Jiménez, I Frías Blanco, ... The Scientific World Journal 2015 (1), 235810, 2015 | 33 | 2015 |
| Algoritmo para el aprendizaje de reglas de clasificación basado en la teoría de los conjuntos aproximados extendida Y Filiberto, R Bello, Y Caballero, M Frías Dyna 78 (169), 62-70, 2011 | 29 | 2011 |
| Two new feature selection algorithms with Rough Sets Theory Y Caballero, R Bello, D Alvarez, MM Garcia IFIP International Conference on Artificial Intelligence in Theory and …, 2006 | 27 | 2006 |
| Using ACO and rough set theory to feature selection. R Bello, A Nowe, Y Gomezd, Y Caballero WSEAS Transactions on Information Science and Applications 2 (5), 512-517, 2005 | 24 | 2005 |
| A method to edit training set based on rough sets Y Caballero, R Bello, Y Salgado, MM García International Journal of Computational Intelligence Research 3 (3), 219-229, 2007 | 22 | 2007 |
| Aplicación de la Teoría de los Conjuntos Aproximados en el Preprocesamiento de los Conjuntos de Entrenamiento para Algoritmos de Aprendizaje Automatizado Y Caballero Universidad Central “Marta Abreu” de Las Villas, Santa Clara, Cuba, 2007 | 20 | 2007 |
| A new measure based in the rough set theory to estimate the training set quality Y Caballero, R Bello, A Taboada, A Nowe, MM Garcia, G Casas 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for …, 2006 | 20 | 2006 |
| An approach for prototype generation based on similarity relations for problems of classification YB Fernandez Hernandez, R Bello, Y Filiberto, M Frías, L Coello Blanco, ... Computación y Sistemas 19 (1), 109-118, 2015 | 18 | 2015 |