| Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators S Alonso-Monsalve, AL Suárez-Cetrulo, A Cervantes, D Quintana Expert Systems with Applications 149, 113250, 2020 | 159 | 2020 |
| AMPSO: a new particle swarm method for nearest neighborhood classification A Cervantes, IM Galván, P Isasi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 122 | 2009 |
| Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks IM Galván, JM Valls, A Cervantes, R Aler Information Sciences 418, 363-382, 2017 | 96 | 2017 |
| A comparison of machine learning and deep learning techniques for activity recognition using mobile devices A Baldominos, A Cervantes, Y Saez, P Isasi Sensors 19 (3), 521, 2019 | 72 | 2019 |
| Internet use and psychological well-being at advanced age: Evidence from the English longitudinal study of aging D Quintana, A Cervantes, Y Sáez, P Isasi International journal of environmental research and public health 15 (3), 480, 2018 | 69 | 2018 |
| A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm A Cervantes, I Galvan, P Isasi 2005 IEEE Congress on Evolutionary Computation 1, 290-297, 2005 | 37 | 2005 |
| A survey on machine learning for recurring concept drifting data streams AL Suárez-Cetrulo, D Quintana, A Cervantes Expert Systems with Applications, 118934, 2022 | 36 | 2022 |
| IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems E Martin, A Cervantes, Y Saez, P Isasi Expert Systems with Applications 142, 112994, 2020 | 32 | 2020 |
| Inés Galván. Pedro lsasi. Binary particle swarm optimization in classification A Cervantes Neural Network World 3 (05), 229-241, 2005 | 28* | 2005 |
| Binary particle swarm optimization in classification A Cervantes, IM Galván, P Isasi Institute of Computer Science, Academy of Sciences of the Czech Republic, 2005 | 26 | 2005 |
| Clustering technique for large-scale home care crew scheduling problems D Quintana Montero, A Cervantes, Y Sáez Achaerandio, P Isasi Springer Nature, 2017 | 22 | 2017 |
| Clustering technique for large-scale home care crew scheduling problems D Quintana, A Cervantes, Y Saez, P Isasi Applied Intelligence 47 (2), 443-455, 2017 | 22 | 2017 |
| Michigan particle swarm optimization for prototype reduction in classification problems A Cervantes, I Galván, P Isasi New Generation Computing 27 (3), 239-257, 2009 | 21 | 2009 |
| Incremental market behavior classification in presence of recurring concepts AL Suárez-Cetrulo, A Cervantes, D Quintana Entropy 21 (1), 25, 2019 | 19 | 2019 |
| A novel multiobjective formulation of the robust software project scheduling problem F Chicano, A Cervantes, F Luna, G Recio Applications of Evolutionary Computation: EvoApplications 2012: EvoCOMNET …, 2012 | 17 | 2012 |
| Optimizing the DFCN broadcast protocol with a parallel cooperative strategy of multi-objective evolutionary algorithms C Segura, A Cervantes, AJ Nebro, MD Jaraíz-Simón, E Segredo, S García, ... Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO …, 2009 | 16 | 2009 |
| An adaptive Michigan approach PSO for nearest prototype classification A Cervantes, I Galván, P Isasi International Work-Conference on the Interplay Between Natural and …, 2007 | 15 | 2007 |
| Convection indicator for pre-tactical air traffic flow management using neural networks A Jardines, M Soler, A Cervantes, J García-Heras, J Simarro Machine Learning with Applications 5, 100053, 2021 | 11 | 2021 |
| Evaluating and characterizing incremental learning from non-stationary data A Cervantes, C Gagné, P Isasi, M Parizeau arXiv preprint arXiv:1806.06610, 2018 | 11 | 2018 |
| Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks R Pérez-Pérez, C Luque, A Cervantes, P Isasi 2007 IEEE Congress on Evolutionary Computation, 3142-3149, 2007 | 11 | 2007 |
