3 papers
math.OC2026
From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
Inverse optimization seeks to recover unknown objective parameters from observed decisions, yet fundamental questions about when recovery is possible have received limited formal t…
cs.LG2026
An interpretable data-driven approach to optimizing clinical fall risk assessment
Fardin Ganjkhanloo, Emmett Springer, Erik H. Hoyer +2
In this study we aim to better align fall risk prediction from the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) with additional clinically meaningful measures via a data-driven…
cs.LG2026
An interpretable data-driven approach to optimizing clinical fall risk assessment
Fardin Ganjkhanloo, Emmett Springer, Erik H. Hoyer +3
In this study, we aim to better align fall risk prediction from the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) with additional clinically meaningful measures via a data-drive…