activity
20242026
most citedEnhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals

5 citations · 8 across the 11 of their papers we have counts for

collaborators

11 papers

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…

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.AI2025

SenseCF: LLM-Prompted Counterfactuals for Intervention and Sensor Data Augmentation

Shovito Barua Soumma, Asiful Arefeen, Stephanie M. Carpenter +2

Counterfactual explanations (CFs) offer human-centric insights into machine learning predictions by highlighting minimal changes required to alter an outcome. Therefore, CFs can be…

cs.LG2025★ 5 cited

Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals

Sanyam Paresh Shah, Abdullah Mamun, Shovito Barua Soumma +1

Metabolic Syndrome (MetS) is a cluster of interrelated risk factors that significantly increases the risk of cardiovascular diseases and type 2 diabetes. Despite its global prevale…

cs.IR2025

Design and Implementation of a Scalable Clinical Data Warehouse for Resource-Constrained Healthcare Systems

Shovito Barua Soumma, Fahim Shahriar, Umme Niraj Mahi +3

Centralized electronic health record repositories are critical for advancing disease surveillance, public health research, and evidence-based policymaking. However, developing coun…