| A review on the long short-term memory model G Van Houdt, C Mosquera, G Nápoles Artificial Intelligence Review 53 (8), 5929-5955, 2020 | 179 | 2020 |
| 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 | 166 | 2019 |
| On the convergence of sigmoid fuzzy cognitive maps G Nápoles, E Papageorgiou, R Bello, K Vanhoof Information Sciences 349, 154-171, 2016 | 91 | 2016 |
| 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 | 85 | 2014 |
| Detecting malicious URLs using machine learning techniques F Vanhoenshoven, G Nápoles, R Falcon, K Vanhoof, M Köppen 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 83 | 2016 |
| 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 | 49 | 2017 |
| Fuzzy cognitive maps based models for pattern classification: Advances and challenges G Nápoles, M Leon Espinosa, I Grau, K Vanhoof, R Bello Soft Computing Based Optimization and Decision Models, 83-98, 2018 | 41 | 2018 |
| Rough cognitive networks G Nápoles, I Grau, E Papageorgiou, R Bello, K Vanhoof Knowledge-Based Systems 91, 46-61, 2016 | 41 | 2016 |
| Fuzzy-rough cognitive networks G Nápoles, C Mosquera, R Falcon, I Grau, R Bello, K Vanhoof Neural Networks 97, 19-27, 2018 | 36 | 2018 |
| Constricted Particle Swarm Optimization based algorithm for global optimization G Nápoles, I Grau, R Bello Polibits, 05-11, 2012 | 36 | 2012 |
| FCM expert: Software tool for scenario analysis and pattern classification based on fuzzy cognitive maps G Nápoles, ML Espinosa, I Grau, K Vanhoof International Journal on Artificial Intelligence Tools 27 (07), 1860010, 2018 | 35 | 2018 |
| On the accuracy–convergence tradeoff in sigmoid fuzzy cognitive maps G Nápoles, L Concepción, R Falcon, R Bello, K Vanhoof IEEE Transactions on Fuzzy Systems 26 (4), 2479-2484, 2017 | 30 | 2017 |
| How to improve the convergence on sigmoid fuzzy cognitive maps? G Nápoles, R Bello, K Vanhoof Intelligent Data Analysis 18 (6S), S77-S88, 2014 | 28 | 2014 |
| Rough cognitive ensembles G Nápoles, R Falcon, E Papageorgiou, R Bello, K Vanhoof International Journal of Approximate Reasoning 85, 79-96, 2017 | 23 | 2017 |
| Learning stability features on sigmoid fuzzy cognitive maps through a swarm intelligence approach G Nápoles, R Bello, K Vanhoof Iberoamerican Congress on Pattern Recognition, 270-277, 2013 | 22 | 2013 |
| Modelling, aggregation and simulation of a dynamic biological system through Fuzzy Cognitive Maps G Nápoles, I Grau, M León, R Grau Mexican International Conference on Artificial Intelligence, 188-199, 2012 | 22 | 2012 |
| A fuzzy cognitive maps modeling, learning and simulation framework for studying complex system M León, G Nápoles, C Rodriguez, MM García, R Bello, K Vanhoof International Work-Conference on the Interplay Between Natural and …, 2011 | 20 | 2011 |
| A granular intrusion detection system using rough cognitive networks G Nápoles, I Grau, R Falcon, R Bello, K Vanhoof Recent advances in computational intelligence in defense and security, 169-191, 2016 | 19 | 2016 |
| Fuzzy cognitive maps tool for scenario analysis and pattern classification G Nápoles, M Leon, I Grau, K Vanhoof 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 18 | 2017 |
| Tackling travel behaviour: an approach based on fuzzy cognitive maps M León, G Nápoles, R Bello, L Mkrtchyan, B Depaire, K Vanhoof International Journal of Computational Intelligence Systems 6 (6), 1012-1039, 2013 | 18 | 2013 |
Rafael BelloProfessor of Computer Science, Universidad Central "Marta Abreu" de Las VillasDirección de correo verificada de uclv.edu.cu
