Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 1-17, 2022 | 241 | 2022 |
Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making S Prabhudesai, L Yang, S Asthana, X Huan, QV Liao, N Banovic Proceedings of the 28th International Conference on Intelligent User …, 2023 | 41 | 2023 |
Stratification by Tumor Grade Groups in a Holistic Evaluation of Machine Learning for Brain Tumor Segmentation S Prabhudesai, NC Wang, V Ahluwalia, X Huan, JR Bapuraj, N Banovic, ... Frontiers in neuroscience 15, 2021 | 10 | 2021 |
Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI S Prabhudesai, J Hauth, D Guo, A Rao, N Banovic, X Huan Frontiers in Computer Science 5, 1071174, 2023 | 9 | 2023 |
A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning T Hossain, W Shen, AD Antar, S Prabhudesai, S Inoue, X Huan, ... ACM Transactions on Computer-Human Interaction, 2022 | 6 | 2022 |
Author Correction: Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 14 (1), 436, 2023 | 3 | 2023 |
A Taxonomy for Understanding and Identifying Uncertainty in AI-Generated Responses S Prabhudesai, DG Goldstein, JM Hofman, DM Rothschild Available at SSRN 4836380, 2024 | | 2024 |