Artificial Neural Networks as auxiliary tools in the diagnosis of malnutrition related diseases. - Antonio Arista-Jalife; H. Alberto Arista-Viveros (CCE, 2012)

Implementation of configurable and multipurpose spiking neural networks on GPUs. - Antonio Arista-Jalife; Roberto Antonio Vázquez (IJCNN, 2012)

Automatic implementation of totalistic cellular automata through polynomial cellular neural networks. - Antonio Arista-Jalife; Eduardo Gómez-Ramírez; Giovanni Egidio Pazienza (HIMA, 2013)

A root location training method for polynomial cellular neural networks that implements totalistic cellular automata. - Antonio Arista-Jalife; Eduardo Gómez-Ramírez (IJCNN, 2013)

One-shot Training of Polynomial Cellular Neural Networks and applications in image processing. - Antonio Arista-Jalife; Eduardo Gómez-Ramírez (IJCNN, 2015)

Mosquito larva classification method based on convolutional neural networks. - A. Sanchez-Ortiz; Atoany N. Fierro-Radilla; Antonio Arista-Jalife; Manuel Cedillo-Hernandez; Mariko Nakano-Miyatake; Daniel Robles-Camarillo; V. Cuatepotzo-Jimenez (CONIELECOMP, 2017)

Deep Learning Employed in the Recognition of the Vector that Spreads Dengue, Chikungunya and Zika Viruses. - Antonio Arista-Jalife; Alejandra Sanchez; Mariko Nakano; Henrik Tünnermann; Héctor Pérez-Meana; Hayaru Shouno (SoMeT, 2018)

Mosquito Larvae Image Classification Based on DenseNet and Guided Grad-CAM. - Zaira García-Nonoal; Keiji Yanai; Mariko Nakano; Antonio Arista-Jalife; Laura Cleofas-Sánchez; Héctor Pérez 001 (IbPRIA (2), 2019)

Aedes mosquito detection in its larval stage using deep neural networks. - Antonio Arista-Jalife; Mariko Nakano; Zaira García-Nonoal; Daniel Robles-Camarillo; Héctor Pérez-Meana; Heriberto Antonio Arista-Viveros (Knowl. Based Syst., 2020)