Machine Learning

Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes
PURPOSE: Surgical performance is critical for clinical outcomes. We present a novel machine learning (ML) method of processing …
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Accelerating Active Learning with Transfer Learning
Active learning, transfer learning, and related techniques are unified by a core theme: efficient and effective use of available data. …
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Who is the expert? Analyzing gaze data to predict expertise level in collaborative applications
In this paper, we analyze complex gaze tracking data in a collaborative task and apply machine learning models to automatically predict …
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Graph-Based Rare Category Detection
Rare category detection is the task of identifying examples from rare classes in an unlabeled data set. It is an open challenge in …
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