| Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange M Pulido, P Melin, O Castillo Information Sciences 280, 188-204, 2014 | 145 | 2014 |
| Genetic optimization of ensemble neural networks for complex time series prediction M Pulido, P Melin, O Castillo The 2011 International Joint Conference on Neural Networks, 202-206, 2011 | 29 | 2011 |
| Comparison of fuzzy controllers for the water tank with type-1 and type-2 fuzzy logic L Amador-Angulo, O Castillo, M Pulido 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 1062 …, 2013 | 27 | 2013 |
| Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction O Castillo, JR Castro, M Pulido, P Melin Engineering Applications of Artificial Intelligence 114, 105110, 2022 | 23 | 2022 |
| Blood pressure classification using the method of the modular neural networks M Pulido, P Melin, G Prado-Arechiga International Journal of Hypertension 2019, 2019 | 18 | 2019 |
| Revisión actual de los conocimientos sobre la absorción intestinal de carbohidratos y su relación con la prevención del riesgo cardiovascular H García-Alcalá, E Meaney-Mendiolea, G Vargas-Ayala, ME Pulido, ... Medicina interna de México 27 (3), 270-280, 2011 | 18 | 2011 |
| Challenges associated with insulin therapy progression among patients with type 2 diabetes: Latin American MOSAIc study baseline data B Linetzky, B Curtis, G Frechtel, R Montenegro, M Escalante Pulido, ... Diabetology & Metabolic Syndrome 8, 1-10, 2016 | 17 | 2016 |
| Optimization of ensemble neural networks with type-2 fuzzy integration of responses for the dow jones time series prediction P Melin, M Pulido Intelligent Automation & Soft Computing 20 (3), 403-418, 2014 | 15 | 2014 |
| An ensemble neural network architecture with fuzzy response integration for complex time series prediction M Pulido, A Mancilla, P Melin Evolutionary Design of Intelligent Systems in Modeling, Simulation and …, 2009 | 15 | 2009 |
| Ensemble neural networks with fuzzy logic integration for complex time series prediction M Pulido, A Mancilla, P Melin International Journal of Intelligent Engineering Informatics 1 (1), 89-103, 2010 | 12 | 2010 |
| Transcultural diabetes nutrition algorithm: the Mexican application AB Galvis, O Hamdy, ME Pulido, VAR Haje, HAL Molina, MEM Sánchez, ... J Diabetes Metab 5 (423), 2, 2014 | 11 | 2014 |
| Optimization of ensemble neural networks with type-2 fuzzy response integration for predicting the Mackey-Glass time series M Pulido, P Melin, O Castillo 2013 World Congress on Nature and Biologically Inspired Computing, 16-21, 2013 | 11 | 2013 |
| Optimization of type-2 fuzzy integration in ensemble neural networks for predicting the US Dolar/MX pesos time series M Pulido, P Melin, O Castillo 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 1508 …, 2013 | 11 | 2013 |
| Genetic optimization of ensemble neural networks for complex time series prediction of the Mexican exchange M Pulido, O Castillo, P Melin Int. J. Innov. Comput. Inf. Control 9 (10), 4151-4166, 2013 | 10 | 2013 |
| Genetic algorithm and Particle Swarm Optimization of ensemble neural networks with type-1 and type-2 fuzzy integration for prediction of the Taiwan Stock Exchange M Pulido, P Melin 2016 IEEE 8th International Conference on Intelligent Systems (IS), 140-145, 2016 | 9 | 2016 |
| Optimization of type-2 fuzzy integration in ensemble neural networks for predicting the dow jones time series ME Pulido, P Melin 2012 Annual Meeting of the North American Fuzzy Information Processing …, 2012 | 8 | 2012 |
| Comparison of genetic algorithm and particle swarm optimization of ensemble neural networks for complex time series prediction M Pulido, P Melin Recent advances of hybrid intelligent systems based on soft computing, 51-77, 2021 | 7 | 2021 |
| A new method for type-2 fuzzy integration in ensemble neural networks based on genetic algorithms M Pulido, P Melin Recent Advances on Hybrid Intelligent Systems, 173-182, 2013 | 7 | 2013 |
| Redes ensemble con integración difusa para pronosticar series de tiempo complejas M Pulido, A Mancilla, P Melin Tijuana Institute of Technology, Mexico 21, 2009 | 7 | 2009 |
| Interval type-3 fuzzy aggregators for ensembles of neural networks in time series prediction O Castillo, M Pulido, P Melin International Conference on Intelligent and Fuzzy Systems, 785-793, 2022 | 6 | 2022 |
Prof. Patricia Melin, Ph.D., D.Sc.Tijuana Institute of TechnologyVerified email at tectijuana.mx
