Search Results for author:
Found 3 papers, 2 papers with code
DuETT: Dual Event Time Transformer for Electronic Health Records
Electronic health records (EHRs) recorded in hospital settings typically contain a wide range of numeric time series data that is characterized by high sparsity and irregular observations.
Confounding Feature Acquisition for Causal Effect Estimation
Reliable treatment effect estimation from observational data depends on the availability of all confounding information.
A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
While LSTMs show increasingly promising results for forecasting Financial Time Series (FTS), this paper seeks to assess if attention mechanisms can further improve performance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
