| Artificial neural networks used in optimization problems G Villarrubia, JF De Paz, P Chamoso, F De la Prieta Neurocomputing 272, 10-16, 2018 | 312 | 2018 |
| Intelligent system for lighting control in smart cities JF De Paz, J Bajo, S Rodríguez, G Villarrubia, JM Corchado Information Sciences 372, 241-255, 2016 | 158 | 2016 |
| Combining multi-agent systems and wireless sensor networks for monitoring crop irrigation G Villarrubia, JF De Paz, DH De La Iglesia, J Bajo Sensors 17 (8), 1775, 2017 | 136 | 2017 |
| Smart waste collection system with low consumption LoRaWAN nodes and route optimization Á Lozano, J Caridad, JF De Paz, G Villarrubia Gonzalez, J Bajo Sensors 18 (5), 1465, 2018 | 101 | 2018 |
| idMAS-SQL: intrusion detection based on MAS to detect and block SQL injection through data mining CI Pinzon, JF De Paz, A Herrero, E Corchado, J Bajo, JM Corchado Information Sciences 231, 15-31, 2013 | 90 | 2013 |
| Multi-agent information fusion system to manage data from a WSN in a residential home S Rodríguez, JF De Paz, G Villarrubia, C Zato, J Bajo, JM Corchado Information Fusion 23, 43-57, 2015 | 89 | 2015 |
| Monitoring and detection platform to prevent anomalous situations in home care G Villarrubia, J Bajo, JF De Paz, JM Corchado Sensors 14 (6), 9900-9921, 2014 | 89 | 2014 |
| A multi-agent system for web-based risk management in small and medium business J Bajo, ML Borrajo, JF De Paz, JM Corchado, MA Pellicer Expert Systems with Applications 39 (8), 6921-6931, 2012 | 86 | 2012 |
| Combination of multi-agent systems and wireless sensor networks for the monitoring of cattle AL Barriuso, G Villarrubia González, JF De Paz, Á Lozano, J Bajo Sensors 18 (1), 108, 2018 | 85 | 2018 |
| Implementing a hardware-embedded reactive agents platform based on a service-oriented architecture over heterogeneous wireless sensor networks RS Alonso, DI Tapia, J Bajo, Ó García, JF De Paz, JM Corchado Ad Hoc Networks 11 (1), 151-166, 2013 | 75 | 2013 |
| Integrating case-based planning and RPTW neural networks to construct an intelligent environment for health care J Bajo, JF de Paz, Y de Paz, JM Corchado Expert Systems with Applications 36 (3), 5844-5858, 2009 | 75 | 2009 |
| Case-based reasoning as a decision support system for cancer diagnosis: A case study JF De Paz, S Rodríguez, J Bajo, JM Corchado International Journal of Hybrid Intelligent Systems 6 (2), 97-110, 2009 | 75 | 2009 |
| SHOMAS: Intelligent guidance and suggestions in shopping centres J Bajo, JM Corchado, Y De Paz, JF De Paz, S Rodríguez, Q Martín, ... Applied Soft Computing 9 (2), 851-862, 2009 | 73 | 2009 |
| Model of experts for decision support in the diagnosis of leukemia patients JM Corchado, JF De Paz, S Rodríguez, J Bajo Artificial Intelligence in Medicine 46 (3), 179-200, 2009 | 72 | 2009 |
| A multi-agent system for the classification of gender and age from images A González-Briones, G Villarrubia, JF De Paz, JM Corchado Computer Vision and Image Understanding 172, 98-106, 2018 | 67 | 2018 |
| Effectiveness of Bayesian filters: An information fusion perspective T Li, JM Corchado, J Bajo, S Sun, JF De Paz Information Sciences 329, 670-689, 2016 | 67 | 2016 |
| S-MAS: An adaptive hierarchical distributed multi-agent architecture for blocking malicious SOAP messages within Web Services environments CI Pinzón, J Bajo, JF De Paz, JM Corchado Expert Systems with Applications 38 (5), 5486-5499, 2011 | 66 | 2011 |
| Replanning mechanism for deliberative agents in dynamic changing environments JM Corchado, M Glez‐Bedia, Y De Paz, J Bajo, JF De Paz Computational Intelligence 24 (2), 77-107, 2008 | 63 | 2008 |
| A CBR framework with gradient boosting based feature selection for lung cancer subtype classification J Ramos-González, D López-Sánchez, JA Castellanos-Garzón, JF de Paz, ... Computers in biology and medicine 86, 98-106, 2017 | 61 | 2017 |
| Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural networks JF De Paz, DI Tapia, RS Alonso, CI Pinzón, J Bajo, JM Corchado Knowledge and information systems 34, 193-217, 2013 | 59 | 2013 |
