6 papers
FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing
Pronob Kumar Barman, Pronoy Kumar Barman, Plaban Kumar Barman +1
Predictive policing systems that allocate patrol resources based solely on predicted crime risk can unintentionally amplify racial disparities through feedback driven data bias. We…
Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
Pronob Kumar Barman, Tera L. Reynolds, James Foulds
Online Health Communities connect patients for peer support, but users face a discovery challenge when they have minimal prior interactions to guide personalization. We study recom…
Enhancing Online Support Group Formation Using Topic Modeling Techniques
Pronob Kumar Barman, Tera L. Reynolds, James Foulds
Online health communities (OHCs) are vital for fostering peer support and improving health outcomes. Support groups within these platforms can provide more personalized and cohesiv…
CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions
Pronob Kumar Barman, Pronoy Kumar Barman
Automated classification of clinical transcriptions into medical specialties is essential for routing, coding, and clinical decision support, yet prior work on the widely used MTSa…
Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis
Pronob Kumar Barman, Pronoy Kumar Barman
Predictive policing systems that direct patrol resources based on algorithmically generated crime forecasts have been widely deployed across US cities, yet their tendency to encode…
Understanding User Perceptions of Human-centered AI-Enhanced Support Group Formation in Online Healthcare Communities
Pronob Kumar Barman, James R. Foulds, Tera L. Reynolds
Peer support is critical to managing chronic health conditions. Online health communities (OHCs) enable patients and caregivers to connect with similar others, yet their large scal…