Wildfire forecasting using an open source 3D multilayer geographical framework. - Modesto Castrillón Santana; Pedro A. Jorge; Adrián Macías; Antonio J. Sánchez; Javier Sánchez 001; José Pablo Suárez; Agustín Trujillo; Izzat Sabbagh; Ignacio J. López; Rafael J. Nebot (SIGGRAPH Talks, 2009)

Forecasting and visualization of wildfires in a 3D geographical information system. - Modesto Castrillón Santana; Pedro A. Jorge; Ignacio J. López; Adrián Macías; David Martín; Rafael J. Nebot; Izzat Sabbagh; Francisco M. Quintana; Javier Sánchez 001; Antonio J. Sánchez; José Pablo Suárez; Agustín Trujillo (Comput. Geosci., 2011)

Accelerating Homomorphic Evaluation on Reconfigurable Hardware. - Thomas Pöppelmann; Michael Naehrig; Andrew Putnam; Adrián Macías (IACR Cryptol. ePrint Arch., 2015)

Mastery Motivation of Children with Down's syndrome in Naturalistic Environments. - Adrián Macías; Luís A. Castro 001 (CLIHC, 2017)

Exergames in Individuals with Down Syndrome: A Performance Comparison Between Children and Adolescents. - Adrián Macías; Karina Caro; Luís A. Castro 001; Veronica Sierra; Edgar Armando Ahumada Solorza; Iván Alejandro Encinas Monroy (GOODTECHS, 2017)

ID4IDS Methodology: Toward Inclusive Design for Individuals with Down Syndrome. - Adrián Macías; Karina Caro; Luís A. Castro 001; Manuel Domitsu Kono (PervasiveHealth, 2018)

Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads. - Dennis Abts; Jonathan Ross; Jonathan Sparling; Mark Wong-VanHaren; Max Baker; Tom Hawkins; Andrew Bell; John Thompson; Temesghen Kahsai; Garrin Kimmell; Jennifer Hwang; Rebekah Leslie-Hurd; et al. (ISCA, 2020)

Exploring Player Experience of an Augmented Puzzle and Wearables for Studying Interactions between Parents and Children with Down Syndrome. - Adrián Macías; Karina Caro; Luís A. Castro 001; Jose-Fernando Parra (PervasiveHealth, 2020)

Classifying interactions of parents and children with Down syndrome in educational environments using deep learning. - Carlos Ramón Galindo-López; Jessica Beltrán; Cynthia B. Pérez; Adrián Macías; Luís A. Castro 001 (ENC, 2022)

A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. - Murali Emani; Zhen Xie; Siddhisanket Raskar; Varuni Sastry; William Arnold; Bruce Wilson; Rajeev Thakur; Venkatram Vishwanath; Zhengchun Liu; Michael E. Papka; Cindy Orozco Bohorquez; Rick Weisner; et al. (PMBS@SC, 2022)

Mobile monitoring parents' behaviors for supporting self-management in children with disabilities. - Adrián Macías; Jesus Ramos; Concepción Valdez; Ignacio Garcia; Gabael Paez; Karina Caro; Luís A. Castro 001 (J. Ambient Intell. Humaniz. Comput., 2023)

Speaker Identification in Interactions between Mothers and Children with Down Syndrome via Audio Analysis: A Case Study in Mexico. - Carlos R. Flores-Carballo; Gabriel A. Molina-Arenas; Adrián Macías; Karina Caro; Jessica Beltrán; Luís A. Castro 001 (Int. J. Hum. Comput. Interact., 2023)

Young Adults' Instagram posts and Depressive Moods: A study in Mexico in the Wild. - Iván Alejandro Encinas Monroy; Jessica Beltrán; Luis H. Sánchez; Luis-Felipe Rodríguez; Adrián Macías; Cynthia B. Pérez; Manuel Domitsu; Luís A. Castro 001 (Computación y Sistemas (CyS), 2024)