4 citations · 8 across the 5 of their papers we have counts for
6 papers
Evaluation of Active Feature Acquisition Methods for Static Feature Settings
Henrik von Kleist, Alireza Zamanian, Ilya Shpitser +1
Active feature acquisition (AFA) agents, crucial in domains like healthcare where acquiring features is often costly or harmful, determine the optimal set of features for a subsequ…
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
Henrik von Kleist, Alireza Zamanian, Ilya Shpitser +1
Machine learning methods often assume that input features are available at no cost. However, in domains like healthcare, where acquiring features could be expensive or harmful, it…
Partially Specified Causal Simulations
A. Zamanian, L. Mareis, N. Ahmidi
Simulation studies play a key role in the validation of causal inference methods. The simulation results are reliable only if the study is designed according to the promised operat…
Path Dependent Structural Equation Models
Ranjani Srinivasan, Jaron Lee, Rohit Bhattacharya +2
Causal analyses of longitudinal data generally assume that the qualitative causal structure relating variables remains invariant over time. In structured systems that transition be…
Recognizing Surgical Activities with Recurrent Neural Networks
Robert DiPietro, Colin Lea, Anand Malpani +5
We apply recurrent neural networks to the task of recognizing surgical activities from robot kinematics. Prior work in this area focuses on recognizing short, low-level activities,…
Automated Objective Surgical Skill Assessment in the Operating Room Using Unstructured Tool Motion
Piyush Poddar, Narges Ahmidi, S. Swaroop Vedula +3
Previous work on surgical skill assessment using intraoperative tool motion in the operating room (OR) has focused on highly-structured surgical tasks such as cholecystectomy. Furt…