| Designing artificial neural networks using particle swarm optimization algorithms BA Garro, RA Vázquez Computational intelligence and neuroscience 2015 (1), 369298, 2015 | 218 | 2015 |
| Classification of DNA microarrays using artificial neural networks and ABC algorithm BA Garro, K Rodríguez, RA Vázquez Applied Soft Computing 38, 548-560, 2016 | 129 | 2016 |
| Training spiking neural models using cuckoo search algorithm RA Vazquez 2011 IEEE Congress of Evolutionary Computation (CEC), 679-686, 2011 | 116 | 2011 |
| Design of artificial neural networks using a modified particle swarm optimization algorithm BA Garro, H Sossa, RA Vazquez 2009 International Joint Conference on Neural Networks, 938-945, 2009 | 89 | 2009 |
| Artificial neural network synthesis by means of artificial bee colony (abc) algorithm BA Garro, H Sossa, RA Vazquez 2011 IEEE Congress of Evolutionary Computation (CEC), 331-338, 2011 | 84 | 2011 |
| New associative memories to recall real-valued patterns H Sossa, R Barrón, RA Vazquez Progress in Pattern Recognition, Image Analysis and Applications: 9th …, 2004 | 48 | 2004 |
| Evolving ant colony system for optimizing path planning in mobile robots BA Garro, H Sossa, RA Vazquez Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007), 444-449, 2007 | 47 | 2007 |
| Integrate and fire neurons and their application in pattern recognition RA Vazquez, A Cachón 2010 7th International Conference on Electrical Engineering Computing …, 2010 | 43 | 2010 |
| Izhikevich neuron model and its application in pattern recognition R Vazquez Australian Journal of Intelligent Information Processing Systems 11 (1), 35-40, 2010 | 40 | 2010 |
| Design of artificial neural networks using differential evolution algorithm BA Garro, H Sossa, RA Vázquez International Conference on Neural Information Processing, 201-208, 2010 | 38 | 2010 |
| A new associative model with dynamical synapses RA Vázquez Espinoza de los Monteros, JH Sossa Azuela Neural Processing Letters 28, 189-207, 2008 | 36 | 2008 |
| Transforming fundamental set of patterns to a canonical form to improve pattern recall H Sossa, R Barrón, RA Vázquez Ibero-American Conference on Artificial Intelligence, 687-696, 2004 | 36 | 2004 |
| Tuning the parameters of an integrate and fire neuron via a genetic algorithm for solving pattern recognition problems A Cachón, RA Vázquez Neurocomputing 148, 187-197, 2015 | 34 | 2015 |
| Back-propagation vs particle swarm optimization algorithm: which algorithm is better to adjust the synaptic weights of a feed-forward ANN? BA Garro, H Sossa, RA Vázquez International Journal of Artificial Intelligence 7 (11), 208-218, 2011 | 31 | 2011 |
| Evolving neural networks: A comparison between differential evolution and particle swarm optimization BA Garro, H Sossa, RA Vázquez International Conference in Swarm Intelligence, 447-454, 2011 | 29 | 2011 |
| Training spiking neural models using artificial bee colony RA Vazquez, BA Garro Computational intelligence and neuroscience 2015 (1), 947098, 2015 | 27 | 2015 |
| Path planning optimization using bio-inspirited algorithms BA Garro, H Sossa, RA Vázquez 2006 fifth mexican international conference on artificial intelligence, 319-330, 2006 | 26 | 2006 |
| Behavior of morphological associative memories with true-color image patterns RA Vazquez, H Sossa Neurocomputing 73 (1-3), 225-244, 2009 | 25 | 2009 |
| Real-valued pattern classification based on extended associative memory H Sossa, R Barrón, RA Vázquez Proceedings of the Fifth Mexican International Conference in Computer …, 2004 | 25 | 2004 |
| Training spiking neurons by means of particle swarm optimization RA Vázquez, BA Garro International Conference in Swarm Intelligence, 242-249, 2011 | 24 | 2011 |
Humberto SossaCenter for Computing Research-IPNVerified email at cic.ipn.mx
