| Redes de neuronas artificiales. Un enfoque práctico P Isasi, I Galván Madrid. Espańa, Pearson Educación, SA, 2004 | 261 | 2004 |
| 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 | 107 | 2009 |
| Using genetic programming to learn and improve control knowledge R Aler, D Borrajo, P Isasi Artificial Intelligence 141 (1-2), 29-56, 2002 | 76 | 2002 |
| Evolutionary design of nearest prototype classifiers F Fernández, P Isasi Journal of Heuristics 10 (4), 431-454, 2004 | 67 | 2004 |
| Evolutionary convolutional neural networks: An application to handwriting recognition A Baldominos, Y Saez, P Isasi Neurocomputing 283, 38-52, 2018 | 54 | 2018 |
| Lenguajes, gramáticas y autómatas PI Vińuela Pearson Educación, 1997 | 51 | 1997 |
| Evolving a fuzzy controller for a car racing competition D Perez, G Recio, Y Saez, P Isasi 2009 IEEE Symposium on Computational Intelligence and Games, 263-270, 2009 | 50 | 2009 |
| Soft computing techniques applied to finance A Mochón, D Quintana, Y Sáez, P Isasi Applied Intelligence 29 (2), 111-115, 2008 | 49 | 2008 |
| Local feature weighting in nearest prototype classification F Fernández, P Isasi IEEE Transactions on Neural Networks 19 (1), 40-53, 2008 | 48 | 2008 |
| Resting tremor classification and detection in Parkinson's disease patients C Camara, P Isasi, K Warwick, V Ruiz, T Aziz, J Stein, E Bakštein Biomedical Signal Processing and Control 16, 88-97, 2015 | 43 | 2015 |
| Benchmarking a wide spectrum of metaheuristic techniques for the radio network design problem SP Mendes, G Molina, MA Vega-Rodríguez, JA Gómez-Pulido, Y Sáez, ... IEEE Transactions on Evolutionary Computation 13 (5), 1133-1150, 2009 | 40 | 2009 |
| Multi-step learning rule for recurrent neural models: an application to time series forecasting IM Galván, P Isasi Neural processing letters 13 (2), 115-133, 2001 | 40 | 2001 |
| A scalable machine learning online service for big data real-time analysis A Baldominos, E Albacete, Y Saez, P Isasi 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), 1-8, 2014 | 37 | 2014 |
| Finding efficient distinguishers for cryptographic mappings, with an application to the block cipher TEA JC Hernandez, P Isasi Computational Intelligence 20 (3), 517-525, 2004 | 35 | 2004 |
| Hydroelectric power plant management relying on neural networks and expert system integration JM Molina, P Isasi, A Berlanga, A Sanchis Engineering Applications of Artificial Intelligence 13 (3), 357-369, 2000 | 35 | 2000 |
| Genetic programming and deductive-inductive learning: A multistrategy approach R Aler, D Borrajo Millán, P Isasi Morgan Kaufmann, 1998 | 35 | 1998 |
| 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 | 34 | 2005 |
| A comparison study of classifier algorithms for cross-person physical activity recognition Y Saez, A Baldominos, P Isasi Sensors 17 (1), 66, 2017 | 33 | 2017 |
| Neural networks robot controller trained with evolution strategies A Berlanga, P Isasi, A Sanchis, JM Molina Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No …, 1999 | 31 | 1999 |
| Performance of the most common non‐cryptographic hash functions C Estébanez, Y Saez, G Recio, P Isasi Software: Practice and Experience 44 (6), 681-698, 2014 | 27 | 2014 |
