most citedBayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness

Yingwei Zhang, Ke Bu, Zhuoran Zhuang +5

The past decades witness the significant advancements in time series forecasting (TSF) across various real-world domains, including e-commerce and disease spread prediction. Howeve…

cs.LG2019★ 2 cited

Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series

Yang Guo, Zhengyuan Liu, Pavitra Krishnswamy +1

Real-world clinical time series data sets exhibit a high prevalence of missing values. Hence, there is an increasing interest in missing data imputation. Traditional statistical ap…