Book Chapter

Machine Learning for Multiscale Analysis of Biomedical Data

Book Chapters

5. Santana-Cibrian, M. A. Acuña-Zegarra, M. Tulio Angulo, A. Comas-García, E. A. Hernandez-Vargas, and J. X. Velasco-Hernandez. Modeling SARS-CoV-2: Mitigation Interventions and Increased Mobility Events. Book Title: Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. Editor: A. T. Azar and A. E. Hassanien. Springer, 2022

4. E.A. Hernandez-Vargas.  Personalized Medicine in Viral Infections. Book Title: Systems Medicine: Integrative Qualitative and Computational Approaches. Editor: Olaf Wolkenhauer. 1st Edition. Elsevier, 2020.

3. G. Hernandez-Mejia, E.A. Hernandez-Vargas. Learning-based Identification of Viral Infection Dynamics. Book Title: Artificial Neural Networks for Engineering Applications. Elsevier, 2019 [Link]

2. V.K. Nguyen and E.A. Hernandez-Vargas.  Parameter estimation in mathematical models of viral infections using R. Book Title: Influenza Virus. Methods in Molecular Biology, vol 1836., Springer,  2018 [Preprint]   [Link]

1. E. Rangel-Carrillo, E.A. Hernandez-Vargas, N. Arana-Daniel, C. Lopez-Franco, and A.Y. Alanis. Particle swarm optimization algorithm with a bio-inspired aging model. Book Title: Particle Swarm Optimizations, InTechOpen,  2018 [Link]