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20242026
most citedGlycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes

1 citations · 1 across the 4 of their papers we have counts for

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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

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals

Asiful Arefeen, Saman Khamesian, Maria Adela Grando +2

Frequent and long-term exposure to hyperglycemia increases the risk of chronic complications, including neuropathy, nephropathy, and cardiovascular disease. Existing continuous sub…

cs.LG20261 cited

Glycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes

Saman Khamesian, Asiful Arefeen, Maria Adela Grando +2

Managing Type 1 Diabetes (T1D) demands constant vigilance as individuals strive to regulate their blood glucose levels and avoid dysglycemia, including hyperglycemia and hypoglycem…

cs.LG2025

RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations

Asiful Arefeen, Shovito Barua Soumma, Hassan Ghasemzadeh

Counterfactual explanations provide human-understandable reasoning for AI-made decisions by describing minimal changes to input features that would alter a model's prediction. To b…

cs.LG2025

LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet

Abdullah Mamun, Asiful Arefeen, Susan B. Racette +4

Postprandial hyperglycemia, marked by the blood glucose level exceeding the normal range after consuming a meal, is a critical indicator of progression toward type 2 diabetes in pe…

cs.LG2025

AZT1D: A Real-World Dataset for Type 1 Diabetes

Saman Khamesian, Asiful Arefeen, Bithika M. Thompson +2

High quality real world datasets are essential for advancing data driven approaches in type 1 diabetes (T1D) management, including personalized therapy design, digital twin systems…