Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing

Florian Dubost, Erin Hong, Nandita Bhaskhar +3

Labeled data is a critical resource for training and evaluating machine learning models. However, many real-life datasets are only partially labeled. We propose a semi-supervised m…