output
20152026
most citedDeep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies

160 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing eess.SPShow all

2 papers · 1 filter

eess.SP2024★ 4 cited

Improving Rehabilitative Assessment with Statistical and Shape Preserving Surrogate Data and Singular Spectrum Analysis

T. K. M. Lee, H. W. Chan, K. H. Leo +3

Time series data are collected in temporal order and are widely used to train systems for prediction, modeling and classification to name a few. These systems require large amounts…

eess.SP2024★ 1 cited

Fidelitous Augmentation of Human Accelerometric Data for Deep Learning

Tracey K. M. Lee, H. W. Chan, K. H. Leo +3

Time series (TS) data have consistently been in short supply, yet their demand remains high for training systems in prediction, modeling, classification, and various other applicat…