3 papers
cs.LG2026
GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting
Baiying Lu, Zhaohui Liang, Ryan Pontius +2
Blood glucose forecasting models are foundational for modern diabetes management systems, as reliable short-term predictions can enable proactive interventions, support automated i…
cs.LG2025
HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
Simon A. Lee, Cyrus Tanade, Hao Zhou +13
Wearable sensors provide abundant physiological time series, yet the principles governing their predictive utility remain unclear. We hypothesize that temporal resolution is a fund…
cs.AI2025
Glucose-ML: A collection of longitudinal diabetes datasets for development of robust AI solutions
Temiloluwa Prioleau, Baiying Lu, Yanjun Cui
Artificial intelligence (AI) algorithms are a critical part of state-of-the-art digital health technology for diabetes management. Yet, access to large high-quality datasets is cre…