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Found 4 papers, 2 papers with code
Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections
In this study, we leverage recent local interpretation methods to interpret state-of-the-art time series models.
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning
This study aimed to identify the most influential age groups in COVID-19 infection rates at the US county level using the Modified Morris Method and deep learning for time series.
Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights
The recent development of Monkeypox disease among various nations poses a global pandemic threat when the world is still fighting Coronavirus Disease-2019 (COVID-19).
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models
Using the proposed framework, we conduct extensive experiments and show our model can learn complex interactions and perform predictions for daily infection at the county level.
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