2 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections
Md Khairul Islam, Tyler Valentine, Timothy Joowon Sue +5
Interpreting deep learning time series models is crucial in understanding the model's behavior and learning patterns from raw data for real-time decision-making. However, the compl…
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning
Md Khairul Islam, Tyler Valentine, Royal Wang +3
The COVID-19 pandemic has created unprecedented challenges for governments and healthcare systems worldwide, highlighting the critical importance of understanding the factors that…
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models
Md Khairul Islam, Di Zhu, Yingzheng Liu +3
Interpretable machine learning plays a key role in healthcare because it is challenging in understanding feature importance in deep learning model predictions. We propose a novel f…