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2020 – today
- 2024
[j19]Juan M. Olaguez-Gonzalez, Satu Elisa Schaeffer, Luz Breton-Deval, Mariel Alfaro-Ponce
, Isaac Chairez:
Assessment of machine learning strategies for simplified detection of autism spectrum disorder based on the gut microbiome composition. Neural Comput. Appl. 36(14): 8163-8180 (2024)- 2023
- [j18]Alicia Guadalupe Lazcano Herrera, Rita Quetziquel Fuentes-Aguilar, Adrian Ramirez-Morales, Mariel Alfaro-Ponce:
BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset. IEEE Access 11: 136422-136436 (2023) - [j17]Adan Domínguez-Ruiz, Edgar Omar López-Caudana, Esther Lugo-González, Francisco Javier Espinosa-Garcia, Rocío Ambrocio-Delgado, Ulises D. García, Ricardo López-Gutiérrez, Mariel Alfaro-Ponce, Pedro Ponce:
Low limb prostheses and complex human prosthetic interaction: A systematic literature review. Frontiers Robotics AI 10 (2023) - [j16]Pedro Ponce, Mariel Alfaro-Ponce, Edgar Omar López-Caudana, Troy McDaniel, Luis Montesinos, J. Ricardo López-Gutiérrez, Esther Lugo-González:
Editorial: New challenges and trends in rehabilitation devices based on AI and optimization. Frontiers Robotics AI 10 (2023) - [j15]Sergio Vega-Guzmán, Gerardo J. Ramírez-Nava, Mariel Alfaro-Ponce:
Stacking Ensemble for Cognitive Impairment and Alzheimer's Disease Classification Using the ADNI Database. Res. Comput. Sci. 152(11): 159-169 (2023) - 2022
- [j14]Erick Axel Martinez-Ríos, Luis Montesinos, Mariel Alfaro-Ponce:
A machine learning approach for hypertension detection based on photoplethysmography and clinical data. Comput. Biol. Medicine 145: 105479 (2022) - [j13]Ruben Fuentes-Alvarez, Joel Hernandez Hernandez, Iván Matehuala-Morán, Mariel Alfaro-Ponce, Ricardo López-Gutiérrez, Sergio Salazar, Rogelio Lozano:
Assistive robotic exoskeleton using recurrent neural networks for decision taking for the robust trajectory tracking. Expert Syst. Appl. 193: 116482 (2022) - [j12]Lizeth-Guadalupe Machado-Jaimes, Martin Rogelio Bustamante-Bello, Amadeo José Argüelles-Cruz, Mariel Alfaro-Ponce:
Development of an Intelligent System for the Monitoring and Diagnosis of the Well-Being. Sensors 22(24): 9719 (2022) - 2021
- [j11]Erick Axel Martinez-Ríos, Luis Montesinos, Mariel Alfaro-Ponce, Leandro Pecchia:
A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data. Biomed. Signal Process. Control. 68: 102813 (2021) - [c6]Enrique Contreras-Tenorio, Ilse Kardasch-Nava, Shazer González de Salceda, Ruben Fuentes-Alvarez, Juan Alfonso Beltrán Fernández, Karla Rincón-Martínez, Mariel Alfaro-Ponce, Iván Matehuala-Morán:
Lower limb prosthesis: Optimization by lattice and four-bar polycentric knee. EMBC 2021: 4801-4807 - [c5]Alicia Guadalupe Lazcano Herrera, Rita Quetziquel Fuentes-Aguilar, Mariel Alfaro-Ponce:
EEG motor/imagery signal classification comparative using machine learning algorithms. CCE 2021: 1-6 - 2020
- [j10]Mariel Alfaro-Ponce, Isaac Chairez:
Continuous and recurrent pattern dynamic neural networks recognition of electrophysiological signals. Biomed. Signal Process. Control. 57 (2020) - [c4]Mariel Alfaro-Ponce, Isaac Chairez:
Bioinformatics-inspired non-parametric modelling of pharmacokinetics-pharmacodynamics systems using differential neural networks. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [j9]Iván Salgado, Mariel Alfaro-Ponce, Oscar Camacho Nieto, Isaac Chairez:
Robust identification of unknown inputs in electrical stimulation of ex-vivo animal models. Biomed. Signal Process. Control. 52: 103-110 (2019) - [j8]Mariel Alfaro-Ponce, Amadeo José Argüelles-Cruz, Isaac Chairez, Amadeo Argüelles:
Automatic electroencephalographic information classifier based on recurrent neural networks. Int. J. Mach. Learn. Cybern. 10(9): 2283-2295 (2019) - [j7]Mariel Alfaro-Ponce, Isaac Chairez, Ralph Etienne-Cummings:
Automatic detection of electrocardiographic arrhythmias by parallel continuous neural networks implemented in FPGA. Neural Comput. Appl. 31(2): 363-375 (2019) - [j6]Daniel Ramírez-Martínez, Mariel Alfaro-Ponce, Oleksiy B. Pogrebnyak, Mario Aldape-Pérez, Amadeo José Argüelles-Cruz:
Hand Movement Classification Using Burg Reflection Coefficients. Sensors 19(3): 475 (2019) - 2017
- [j5]Mariel Alfaro-Ponce, Amadeo José Argüelles-Cruz, Isaac Chairez Oria:
Windowed electroencephalographic signal classifier based on continuous neural networks with delays in the input. Expert Syst. Appl. 68: 1-10 (2017) - 2016
- [j4]Mariel Alfaro-Ponce, Amadeo José Argüelles-Cruz, Isaac Chairez:
Pattern recognition for electroencephalographic signals based on continuous neural networks. Neural Networks 79: 88-96 (2016) - [j3]Mariel Alfaro-Ponce, Iván Salgado, Amadeo José Argüelles-Cruz, Isaac Chairez Oria:
Adaptive identifier for uncertain complex-valued discrete-time nonlinear systems based on recurrent neural networks. Neural Process. Lett. 43(1): 133-153 (2016) - 2014
- [j2]Mariel Alfaro-Ponce, Amadeo José Argüelles-Cruz, Isaac Chairez:
Continuous neural identifier for uncertain nonlinear systems with time delays in the input signal. Neural Networks 60: 53-66 (2014) - [j1]Mariel Alfaro-Ponce, Amadeo José Argüelles-Cruz, Isaac Chairez:
Adaptive Identifier for Uncertain Complex Nonlinear Systems Based on Continuous Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(3): 483-494 (2014) - 2013
- [c3]Mariel Alfaro-Ponce, Amadeo José Argüelles-Cruz, Isaac Chairez:
Continuous neural identifier for uncertain nonlinear systems with time delays in the input signal. IJCNN 2013: 1-8 - 2010
- [c2]Mariel Alfaro, Luis Niño de Rivera, Isaac Chairez:
Wireless trans-corneal stimulus for the optical nerve based on adaptive modeling using continuous neural networks. CCE 2010: 236-241 - [c1]Mariel Alfaro, Luis Niño de Rivera, Isaac Chairez:
Non-parametric Modeling of the Optical Nerve Response by Trans-corneal Stimulation Using Differential Neural Networks. MICAI (Special Sessions) 2010: 43-48
Coauthor Index
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