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Found 6 papers, 1 papers with code
Evaluation of Active Feature Acquisition Methods for Static Feature Settings
These estimators can be applied when the missingness in the retrospective dataset follows a missing-at-random (MAR) pattern.
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
We show that one can apply offline reinforcement learning under the NUC assumption and missing data methods under the NDE assumption.
Path Dependent Structural Equation Models
Causal analyses of longitudinal data generally assume that the qualitative causal structure relating variables remains invariant over time.
Recognizing Surgical Activities with Recurrent Neural Networks
In contrast, we work on recognizing both gestures and longer, higher-level activites, or maneuvers, and we model the mapping from kinematics to gestures/maneuvers with recurrent neural networks.
Ranked #1 on
Surgical Skills Evaluation
on MISTIC-SIL
Automated Objective Surgical Skill Assessment in the Operating Room Using Unstructured Tool Motion
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.
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT
Machine translation (MT) draws from several different disciplines, making it a complex subject to teach.
