GitHub

Explain XGBoost models with the Hoeffding functional decomposition.

treehfd is a Python module to compute the Hoeffding functional decomposition of XGBoost models (Chen and Guestrin, 2016) with dependent input variables, using the TreeHFD algorithm. This decomposition ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
IEEE

Comparison of Air Quality Prediction using Random Forest and Gradient Boosting Tree

Abstract: Air quality has become one of the most pressing environmental issues of the 21st century. Rapid population growth, industrialization, and mobility have led to increased emissions of ...
Frontiers

Eco-zoning management based on thresholds of NPP driving factors

The spatiotemporal differentiation of net primary productivity (NPP) is non-linearly regulated by multiple factors, with the identification of driving factor thresholds and ecological zoning remaining ...
IEEE

Iteration Phase Gradient Resample Autofocus: A Real-Time and Robust Algorithm for Focusing Maneuvering Ships in SAR Images

Abstract: Synthetic aperture radar (SAR) is a crucial tool for maritime monitoring. Maneuvering ships often appear defocused in SAR images. Ship refocusing typically employs inverse SAR methods, which ...