16 citations · 67 across the 21 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 7 cited
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
Farzaneh Khoshnevisan, Min Chi
Modeling patient disease progression using Electronic Health Records (EHRs) is critical to assist clinical decision making. While most of prior work has mainly focused on developin…
cs.AI2020★ 16 cited
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor
Mehak Maniktala, Christa Cody, Tiffany Barnes +1
Within intelligent tutoring systems, considerable research has investigated hints, including how to generate data-driven hints, what hint content to present, and when to provide hi…
cs.AI2020★ 1 cited
Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help
Mehak Maniktala, Christa Cody, Amy Isvik +3
Determining when and whether to provide personalized support is a well-known challenge called the assistance dilemma. A core problem in solving the assistance dilemma is the need t…