Category Archives: Inteligencia Artificial
Sensors
Gonzalez-Navarro, F.F.; Stilianova-Stoytcheva, M.; Renteria-Gutierrez, L.; Belanche-Muñoz, L.A.; Flores-Rios, B.L.; Ibarra-Esquer, J.E. Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods. Sensors 2016, 16, 1483. https://doi.org/10.3390/s16111483
Current Analytical Chemistry
Felix F. González Navarro, Margarita Stoytcheva, Lluís A. Belanche Munoz, Brenda L. Flores Rios, Jorge E. Ibarra Esquer, Livier Rentería Gutiérrez and Gabriel A. López Morteo. (2016). Analyzing the Amperometric Response of a Glucose Oxidase Sensor Applying Mathematical Models. Current Analytical … Continue reading
Genes & genetic systems
González-Navarro, F. F., Belanche-Muñoz, L. A., Gámez-Moreno, M. G., Flores-Ríos, B. L., Ibarra-Esquer, J. E., & López-Morteo, G. A. (2015). Gene discovery for facioscapulohumeral muscular dystrophy by machine learning techniques. Genes & genetic systems, 90(6), 343-356. Online ISSN : 1880-5779 Print … Continue reading
Glucose Oxidase Biosensor Modeling by Machine Learning Methods
Livier Rentería-Gutiérrez, Félix F González-Navarro, Margarita Stilianova-Stoytcheva, Lluís A Belanche-Muñoz, Brenda L Flores-Ríos, Jorge E Ibarra-Esquer. Glucose Oxidase Biosensor Modeling by Machine Learning Methods. Nature-Inspired Computation and Machine Learning. Springer International Publishing. 2014. pp. 464-473.
Microarray Gene Subset Selection in Amyotrophic Lateral Sclerosis Classification
Edgar A. Castro-Astengo, Félix F. González-Navarro, Brenda Flores-Ríos. “Microarray Gene Subset Selection in Amyotrophic Lateral Sclerosis Classification“. In the 10th Mexican International Conference on Artificial Intelligence (MICAI 2011). 2011, Puebla, México. IEEE Computer Society.
A Methodology for implementation of the Execution Phase of Artificial Neural Networks in Digital Hardware Devices
Castro Peñaloza Ulises, Ibarra Esquer Jorge E., Flores Rios Brenda L. A Methodology for implementation of the Execution Phase of Artificial Neural Networks in Digital Hardware Devices. Electronics, Robotics and Automotive mechanics Conference (CERMA). 2008. ISBN 978-0-7695-3320-9/08. Pp. 422-427. IEEE … Continue reading
Metodología para la implementación de Redes Neuronales en Hardware utilizando VHDL
Ulises Castro Peñaloza. “Metodología para la implementación de Redes Neuronales en Hardware utilizando VHDL“. Tesis de Maestría. MYDCI, área de conocimiento Computación. UABC. 28 de Enero de 2008. Becario CONACYT.