Comparación de arquitecturas de redes neuronales convolucionales para el diagnóstico de COVID-19. - Daniela Lopez-Betancur; Rembrandt Bosco Duran; Carlos Guerrero-Mendez; Rogelia Zambrano Rodríguez; Tonatiuh Saucedo-Anaya (Computación y Sistemas, 2021)

Analysis of Convolutional Neural Network Models for Classifying the Quality of Dried Chili Peppers (Capsicum Annuum L). - David J. Navarro-Solís; Carlos Guerrero-Mendez; Tonatiuh Saucedo-Anaya; Daniela Lopez-Betancur; Luis Silva; Antonio Robles-Guerrero; Salvador Gómez-Jiménez (WILE/HIS/CIAPP@MICAI, 2023)

Cleaning Binary Distortion on MNIST Dataset. - Rafael Castaneda-Diaz; Daniela Lopez-Betancur; Carlos Guerrero-Mendez; Efren Gonzalez-Ramirez; Salvador Gómez-Jiménez; Flossi Puma-Ttito (MICAI (Workshops 1), 2024)

Convolutional Neural Network Models for Classifying of Peach (Prunus persica L). - Flossi Puma-Ttito; Carlos Guerrero-Mendez; Daniela Lopez-Betancur; Tonatiuh Saucedo-Anaya; Rafael Castaneda-Diaz; Luis Martinez-Ytuza (MICAI (Workshops 1), 2024)

Evaluating CNN Models and Optimization Techniques for Quality Classification of Dried Chili Peppers (Capsicum annuum L.). - Daniela Lopez-Betancur; Tonatiuh Saucedo-Anaya; Carlos Guerrero-Mendez; David J. Navarro-Solís; Luis Silva-Acosta; Antonio Robles-Guerrero; Salvador Gómez-Jiménez (Int. J. Comb. Optim. Probl. Informatics, 2024)

Convolutional Neural Networks for Real Time Classification of Beehive Acoustic Patterns on Constrained Devices. - Antonio Robles-Guerrero; Salvador Gómez-Jiménez; Tonatiuh Saucedo-Anaya; Daniela Lopez-Betancur; David J. Navarro-Solís; Carlos Guerrero-Mendez (Sensors, 2024)

Application of Deep Learning for Automated Peach Classification: A Study Based on ResNet Architectures. - Flossi Puma-Ttito; Carlos Guerrero-Mendez; Daniela Lopez-Betancur; Tonatiuh Saucedo-Anaya; Rafael Castaneda-Diaz; Luis Martinez-Ytuza (Int. J. Comb. Optim. Probl. Informatics, 2025)