As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

1 code implementation • 29 Jun 2021 • Fiorella Wever, T. Anderson Keller, Laura Symul, Victor Garcia

High levels of missing data and strong class imbalance are ubiquitous challenges that are often presented simultaneously in real-world time series data.

Self-Supervised Learning Time Series +2

Predicting pregnancy using large-scale data from a women's health tracking mobile application

1 code implementation • 5 Dec 2018 • Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec

Predicting pregnancy has been a fundamental problem in women's health for more than 50 years.