4 papers
Deep Kernel Learning for Stratifying Glaucoma Trajectories
Bruce Rushing, Angela Danquah, Alireza Namazi +2
Effectively stratifying patient risk in chronic diseases like glaucoma is a major clinical challenge. Clinicians need tools to identify patients at high risk of progression from sp…
From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting
Alireza Namazi, Heman Shakeri
Clinical time-series forecasting is increasingly studied for decision support, yet standard aggregate metrics can obscure whether a model is actually useful for the task it is mean…
The Stationarity Bias: Stratified Stress-Testing for Time-Series Imputation in Regulated Dynamical Systems
Amirreza Dolatpour Fathkouhi, Alireza Namazi, Heman Shakeri
Time-series imputation benchmarks employ uniform random masking and shape-agnostic metrics (MSE, RMSE), implicitly weighting evaluation by regime prevalence. In systems with a domi…
Mitigating Exposure Bias in Risk-Aware Time Series Forecasting with Soft Tokens
Alireza Namazi, Amirreza Dolatpour Fathkouhi, Heman Shakeri
Autoregressive forecasting is central to predictive control in diabetes and hemodynamic management, where different operating zones carry different clinical risks. Standard models…