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José Martín Flores Albino
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2020 – today
- 2022
- [j10]Rodrigo Hernández Moncayo, José Martín Flores Albino, Víctor Manuel Landassuri-Moreno, Saturnino Job Morales Escobar:
Esteganografía de códigos QR embebidos por medio de un modelo neuronal generativo adversario. Res. Comput. Sci. 151(7): 171-183 (2022) - 2020
- [j9]Juan Carlos Belen Luna, José Martín Flores Albino, Héctor Rafael Orozco-Aguirre, Carlos Omar González-Morán:
Parametrización de terapia física para falanges de la mano humana. Res. Comput. Sci. 149(8): 555-569 (2020)
2010 – 2019
- 2019
- [j8]Victoria-Elizabeth Padilla-Morales, Saturnino Job Morales Escobar, Maricela Quintana, José Martín Flores Albino, Oscar Herrera-Alcántara:
Reducción de la dimensión de registros de evaluaciones académicas aplicando el algoritmo K-means. Res. Comput. Sci. 148(7): 515-526 (2019) - 2018
- [j7]Maricela Quintana, José Martín Flores Albino, Saúl Lazcano-Salas, Víctor Manuel Landassuri-Moreno:
Ensamble de clasificadores para determinar el perfil académico del estudiante usando árboles de decisión y redes neuronales. Res. Comput. Sci. 147(5): 255-267 (2018) - 2016
- [j6]Luis Felipe Romero Morales, José Martín Flores Albino:
Algoritmo para el cálculo del ritmo en una señal de audio digital. Res. Comput. Sci. 120: 113-122 (2016) - [j5]Carlos Julián Torres González, Víctor Manuel Landassuri-Moreno, José Juan Carbajal Hernández, José Martín Flores Albino:
Predicción de oxígeno disuelto en acuacultura semi-intensiva con redes neuronales artificiales. Res. Comput. Sci. 120: 159-168 (2016) - 2015
- [j4]Nery Daniel Tovar-Espinoza, Juan Carlos Rodríguez-Sánchez, Víctor Manuel Landassuri-Moreno, Saúl Lazcano-Salas, José Martín Flores Albino:
Localización automática de placas de automóviles. Res. Comput. Sci. 105: 127-137 (2015) - [j3]Juan Carlos Rodríguez-Sánchez, Víctor Manuel Landassuri-Moreno, José Martín Flores Albino:
Reconocimiento de patrones numéricos para vuelo controlado de un AR Drone utilizando redes neuronales artificiales. Res. Comput. Sci. 107: 61-71 (2015) - 2011
- [c6]Eduardo Gamaliel Hernández-Martínez, José Martín Flores Albino:
Hybrid architecture of multi-robot systems based on formation control and SOM neural networks. CCA 2011: 941-946
2000 – 2009
- 2008
- [j2]Ieroham S. Baruch, Rafael Beltran Lopez, Jose-Luis Olivares Guzman, José Martín Flores:
A fuzzy-neural multi-model for nonlinear systems identification and control. Fuzzy Sets Syst. 159(20): 2650-2667 (2008) - 2005
- [c5]Armando Rivadeneyra Bardales, Danilo Soares Barboza, William Ipanaqué, José Martín Flores:
Neural Network Modeling for ALSTOM Gasifier. ANNIIP 2005: 94-102 - 2003
- [j1]M. Margarita Goire C., José Martín Flores, Moisés E. Bonilla, Ieroham S. Baruch:
Control Neuronal por Modelo de Referencia para un Sistema de Estructura Variable. Computación y Sistemas 6(4) (2003) - 2001
- [c4]Ieroham S. Baruch, José Martín Flores, Ruben Garrido:
A fuzzy neural recurrent multi-model for systems identification and control. ECC 2001: 3540-3545 - [c3]Ieroham S. Baruch, José Martín Flores, Federico Thomas, Ruben Garrido:
Adaptive Neural Control of Nonlinear Systems. ICANN 2001: 930-936 - 2000
- [c2]Ieroham S. Baruch, José Martín Flores, Juan Carlos Martínez, Boyka Nenkova:
Fuzzy-Neural Models for Real-Time Identification and Control of a Mechanical System. AIMSA 2000: 292-300 - [c1]Ieroham S. Baruch, José Martín Flores Albino, Ruben Garrido, Elena Gortcheva:
An Indirect Adaptive Neural Control of Nonlinear Plants. IJCNN (4) 2000: 337-344
Coauthor Index
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