Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making. - Snehal Prabhudesai; Leyao Yang; Sumit Asthana; Xun Huan; Q. Vera Liao; Nikola Banovic 001 (IUI, 2023)

Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI. - Snehal Prabhudesai; Jeremiah Hauth; Dingkun Guo; Arvind Rao; Nikola Banovic 001; Xun Huan (Frontiers Comput. Sci., 2023)

A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning. - Tahera Hossain; Wanggang Shen; Anindya Das Antar; Snehal Prabhudesai; Sozo Inoue; Xun Huan; Nikola Banovic 001 (ACM Trans. Comput. Hum. Interact., 2023)

"Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity. - Snehal Prabhudesai; Ananya Prashant Kasi; Anmol Mansingh; Anindya Das Antar; Hua Shen 005; Nikola Banovic 001 (CHI, 2025)