1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2024
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation
Linglong Qian, Tao Wang, Jun Wang +4
We present a comprehensive analysis of deep learning approaches for Electronic Health Record (EHR) time-series imputation, examining how architectural and framework biases combine…
cs.LG2024★ 1 cited
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
Linglong Qian, Zina Ibrahim, Richard Dobson
Missingness is ubiquitous in multivariate time series and poses an obstacle to reliable downstream analysis. Although recurrent network imputation achieved the SOTA, existing model…
cs.LG2023
CSAI: Conditional Self-Attention Imputation for Healthcare Time-series
Linglong Qian, Joseph Arul Raj, Hugh Logan Ellis +5
We introduce the Conditional Self-Attention Imputation (CSAI) model, a novel recurrent neural network architecture designed to address the challenges of complex missing data patter…