A Geospatial and ML-based Approach to Health Disparity Identification and Determinant Tracing for Improving Pandemic Health Care. - Jinwei Liu; Richard A. Aló; Yohn Jairo Parra Bautista; Clement G. Yedjou; Carlos Theran (SNAMS, 2021)

Machine Learning Computational Framework for Alzheimer's Disease Stages Classification. - Carlos Theran-Suarez; Yohn Jairo Parra Bautista; Victor Adankai; Richard A. Aló (FTC (3), 2022)

Time Series Analysis of Cryptocurrency Prices Using Long Short-Term Memory. - Jacques Phillipe Fleischer; Gregor von Laszewski; Carlos Theran; Yohn Jairo Parra Bautista (Algorithms, 2022)

Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes. - Jacques Fleischer; Gregor von Laszewski; Carlos Theran; Yohn Jairo Parra Bautista (CoRR, 2022)

Health Disparities Through Generative AI Models: A Comparison Study Using a Domain Specific Large Language Model. - Yohn Jairo Parra Bautista; Carlos Theran; Richard A. Aló; Vinicious Lima (FTC (1), 2023)

Ethical Considerations of Generative AI: A Survey Exploring the Role of Decision Makers in the Loop. - Yohn Jairo Parra Bautista; Carlos Theran; Richard A. Aló (AAAI Spring Symposia, 2024)

Evaluation of factors predicting transition from prediabetes to diabetes among patients residing in underserved communities in the United States - A machine learning approach. - Arinze Nkemdirim Okere; Tianfeng Li; Carlos Theran; Eunice Nyasani; Askal Ayalew Ali (Comput. Biol. Medicine, 2025)