3 citations · 11 across the 14 of their papers we have counts for
23 papers
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…
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…
A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
Samin Semsar, Kiran Laxmikant Prabhu, Gabriella Waters +1
There are ongoing discussions about predictive policing systems, such as those deployed in Los Angeles, California and Baltimore, Maryland, being unfair, for example, by exhibiting…
A Unifying Human-Centered AI Fairness Framework
Munshi Mahbubur Rahman, Shimei Pan, James R. Foulds
The increasing use of Artificial Intelligence (AI) in critical societal domains has amplified concerns about fairness, particularly regarding unequal treatment across sensitive att…
You've Changed: Detecting Modification of Black-Box Large Language Models
Alden Dima, James Foulds, Shimei Pan +1
Large Language Models (LLMs) are often provided as a service via an API, making it challenging for developers to detect changes in their behavior. We present an approach to monitor…