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cs.LG2026
Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation
Shovito Barua Soumma, Asiful Arefeen, Stephanie M. Carpenter +2
Counterfactual explanations (CFEs) provide human-centric interpretability by identifying the minimal, actionable changes required to alter a machine learning model's prediction. Th…
cs.LG2026
GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting
Shovito Barua Soumma, Hassan Ghasemzadeh
Accurate blood glucose forecasting using continuous glucose monitoring (CGM) data can support the early prediction of dysglycemic risk. However, current neural-network-based foreca…