| Communicating uncertain information from deep learning models in human machine teams HV Subramanian, CI Canfield, DB Shank, L Andrews, CH Dagli American Society for Engineering Management (ASEM), 2020 | 5 | 2020 |
| Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review HV Subramanian, C Canfield, DB Shank Artificial Intelligence in Medicine, 102780, 2024 | 2 | 2024 |
| Combining uncertainty information with AI recommendations supports calibration with domain knowledge HV Subramanian, C Canfield, DB Shank, M Kinnison Journal of Risk Research 26 (10), 1137-1152, 2023 | 1 | 2023 |
| Integrating Stakeholder Input into the Design of Explainable AI Interfaces: An Application in Kidney Transplant Healthcare HV Subramanian, C Canfield, D Shank IISE Annual Conference and Expo, 2023 | | 2023 |
| Communicating uncertain information from deep learning models to users HV Subramanian Missouri University of Science and Technology, 2021 | | 2021 |
