| SMOTE-RS B*: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory E Ramentol, Y Caballero, R Bello, F Herrera Knowledge and information systems 33 (2), 245-265, 2012 | 277 | 2012 |
| A review on methods and software for fuzzy cognitive maps G Felix, G Nápoles, R Falcon, W Froelich, K Vanhoof, R Bello Artificial intelligence review 52 (3), 1707-1737, 2019 | 92 | 2019 |
| On the convergence of sigmoid fuzzy cognitive maps G Nápoles, E Papageorgiou, R Bello, K Vanhoof Information Sciences 349, 154-171, 2016 | 75 | 2016 |
| Aplicaciones de la inteligencia artificial R Bello, Z García, MM García Ediciones de la Noche, Guadalajara, Jalisco, México 970 (27), 177, 2002 | 74 | 2002 |
| 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 | 72 | 2014 |
| Multiple instance learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ... Multiple instance learning, 17-33, 2016 | 71 | 2016 |
| ANN-QSAR model for selection of anticancer leads from structurally heterogeneous series of compounds H González-Díaz, I Bonet, C Terán, E De Clercq, R Bello, MM García, ... European journal of medicinal chemistry 42 (5), 580-585, 2007 | 71 | 2007 |
| Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP A Puris, R Bello, F Herrera Expert Systems with Applications 37 (7), 5443-5453, 2010 | 67 | 2010 |
| Two-steps learning of fuzzy cognitive maps for prediction and knowledge discovery on the HIV-1 drug resistance G Nápoles, I Grau, R Bello, R Grau Expert Systems with Applications 41 (3), 821-830, 2014 | 58 | 2014 |
| Variable mesh optimization for continuous optimization problems A Puris, R Bello, D Molina, F Herrera Soft Computing 16 (3), 511-525, 2012 | 58 | 2012 |
| Two-step particle swarm optimization to solve the feature selection problem R Bello, Y Gomez, A Nowe, MM Garcia Seventh International Conference on Intelligent Systems Design and …, 2007 | 57 | 2007 |
| Rough sets in the soft computing environment R Bello, JL Verdegay Information Sciences 212, 1-14, 2012 | 55 | 2012 |
| 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 | 51 | 2010 |
| Rough set theory: a true landmark in data analysis A Abraham, R Falc, R Bello Springer Science & Business Media, 2009 | 46 | 2009 |
| Granular computing: at the junction of rough sets and fuzzy sets R Bello, R Falcón, W Pedrycz Springer, 2007 | 45 | 2007 |
| 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 |
| Learning and convergence of fuzzy cognitive maps used in pattern recognition G Nápoles, E Papageorgiou, R Bello, K Vanhoof Neural Processing Letters 45 (2), 431-444, 2017 | 42 | 2017 |
| A model and its different applications to case-based reasoning MMG Lorenzo, REB Pérez Knowledge-based systems 9 (7), 465-473, 1996 | 42 | 1996 |
| 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 | 40 | 2012 |
| Variable mesh optimization for the 2013 CEC special session niching methods for multimodal optimization D Molina, A Puris, R Bello, F Herrera 2013 IEEE Congress on Evolutionary Computation, 87-94, 2013 | 37 | 2013 |
