Wireless trans-corneal stimulus for the optical nerve based on adaptive modeling using continuous neural networks. - Mariel Alfaro; Luis Niño de Rivera; Isaac Chairez 001 (CCE, 2010)

Non-parametric Modeling of the Optical Nerve Response by Trans-corneal Stimulation Using Differential Neural Networks. - Mariel Alfaro; Luis Niño de Rivera; Isaac Chairez 001 (MICAI (Special Sessions), 2010)

Continuous neural identifier for uncertain nonlinear systems with time delays in the input signal. - Mariel Alfaro-Ponce; Amadeo José Argüelles-Cruz; Isaac Chairez 001 (Neural Networks, 2014)

Adaptive Identifier for Uncertain Complex Nonlinear Systems Based on Continuous Neural Networks. - Mariel Alfaro-Ponce; Amadeo José Argüelles-Cruz; Isaac Chairez 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Pattern recognition for electroencephalographic signals based on continuous neural networks. - Mariel Alfaro-Ponce; Amadeo José Argüelles-Cruz; Isaac Chairez 001 (Neural Networks, 2016)

Adaptive identifier for uncertain complex-valued discrete-time nonlinear systems based on recurrent neural networks. - Mariel Alfaro-Ponce; Iván Salgado 001; Amadeo José Argüelles-Cruz; Isaac Chairez Oria (Neural Process. Lett., 2016)

Windowed electroencephalographic signal classifier based on continuous neural networks with delays in the input. - Mariel Alfaro-Ponce; Amadeo José Argüelles-Cruz; Isaac Chairez Oria (Expert Syst. Appl., 2017)

Robust identification of unknown inputs in electrical stimulation of ex-vivo animal models. - Iván Salgado 001; Mariel Alfaro-Ponce; Oscar Camacho Nieto; Isaac Chairez 001 (Biomed. Signal Process. Control., 2019)

Automatic electroencephalographic information classifier based on recurrent neural networks. - Mariel Alfaro-Ponce; Amadeo José Argüelles-Cruz; Isaac Chairez 001; Amadeo Argüelles (Int. J. Mach. Learn. Cybern., 2019)

Automatic detection of electrocardiographic arrhythmias by parallel continuous neural networks implemented in FPGA. - Mariel Alfaro-Ponce; Isaac Chairez 001; Ralph Etienne-Cummings (Neural Comput. Appl., 2019)

Hand Movement Classification Using Burg Reflection Coefficients. - Daniel Ramírez-Martínez; Mariel Alfaro-Ponce; Oleksiy B. Pogrebnyak; Mario Aldape-Pérez; Amadeo José Argüelles-Cruz (Sensors, 2019)

Bioinformatics-inspired non-parametric modelling of pharmacokinetics-pharmacodynamics systems using differential neural networks. - Mariel Alfaro-Ponce; Isaac Chairez 001 (IJCNN, 2020)

Continuous and recurrent pattern dynamic neural networks recognition of electrophysiological signals. - Mariel Alfaro-Ponce; Isaac Chairez 001 (Biomed. Signal Process. Control., 2020)

Lower limb prosthesis: Optimization by lattice and four-bar polycentric knee. - 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 (EMBC, 2021)

EEG motor/imagery signal classification comparative using machine learning algorithms. - Alicia Guadalupe Lazcano Herrera; Rita Quetziquel Fuentes-Aguilar; Mariel Alfaro-Ponce (CCE, 2021)

A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data. - Erick Axel Martinez-Ríos; Luis Montesinos; Mariel Alfaro-Ponce; Leandro Pecchia (Biomed. Signal Process. Control., 2021)

A machine learning approach for hypertension detection based on photoplethysmography and clinical data. - Erick Axel Martinez-Ríos; Luis Montesinos; Mariel Alfaro-Ponce (Comput. Biol. Medicine, 2022)

Assistive robotic exoskeleton using recurrent neural networks for decision taking for the robust trajectory tracking. - Ruben Fuentes-Alvarez; Joel Hernandez Hernandez; Iván Matehuala-Morán; Mariel Alfaro-Ponce; Ricardo López-Gutiérrez; Sergio Salazar 001; Rogelio Lozano (Expert Syst. Appl., 2022)

Development of an Intelligent System for the Monitoring and Diagnosis of the Well-Being. - Lizeth-Guadalupe Machado-Jaimes; Martin Rogelio Bustamante-Bello; Amadeo José Argüelles-Cruz; Mariel Alfaro-Ponce (Sensors, 2022)

BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset. - Alicia Guadalupe Lazcano Herrera; Rita Quetziquel Fuentes-Aguilar; Adrian Ramirez-Morales; Mariel Alfaro-Ponce (IEEE Access, 2023)

Stacking Ensemble for Cognitive Impairment and Alzheimer's Disease Classification Using the ADNI Database. - Sergio Vega-Guzmán; Gerardo J. Ramírez-Nava; Mariel Alfaro-Ponce (Res. Comput. Sci., 2023)

Low limb prostheses and complex human prosthetic interaction: A systematic literature review. - 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 (Frontiers Robotics AI, 2023)

Editorial: New challenges and trends in rehabilitation devices based on AI and optimization. - Pedro Ponce; Mariel Alfaro-Ponce; Edgar Omar López-Caudana; Troy McDaniel; Luis Montesinos; J. Ricardo López-Gutiérrez; Esther Lugo-González (Frontiers Robotics AI, 2023)

Assessment of machine learning strategies for simplified detection of autism spectrum disorder based on the gut microbiome composition. - Juan M. Olaguez-Gonzalez; Satu Elisa Schaeffer; Luz Breton-Deval; Mariel Alfaro-Ponce; Isaac Chairez 001 (Neural Comput. Appl., 2024)