134 citations · 159 across the 10 of their papers we have counts for
3 papers · 1 filter
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value
Redoan Rahman, Jooyeong Kang, Justin F Rousseau +1
This paper applies multiple machine learning (ML) algorithms to a dataset of de-identified COVID-19 patients provided by the COVID-19 Research Database. The dataset consists of 20,…
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality
Li Shi, Redoan Rahman, Esther Melamed +3
This paper applies eXplainable Artificial Intelligence (XAI) methods to investigate the socioeconomic disparities in COVID patient mortality. An Extreme Gradient Boosting (XGBoost)…
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Ajay Jaiswal, Peihao Wang, Tianlong Chen +3
Despite the enormous success of Graph Convolutional Networks (GCNs) in modeling graph-structured data, most of the current GCNs are shallow due to the notoriously challenging probl…