Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and ...

Long overlooked and underestimated, glial cells—non-neuronal cells that support, protect and communicate with neurons—are ...

This study introduces a sophisticated supervised machine learning method for electric theft detection utilizing a customized histogram gradient boosting (HGB) algorithm. Comprehensive preprocessing, ...

The Data Science Lab Gradient Boosting Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where ...

Gradient boosting is an efficient and scalable supervised machine learning technique, and most scaling models based on gradient boosting perform well on point regression tasks, but they can only be ...

To explore the potential of domain adaptation, we propose a method of data analysis using gradient boosting and convolutional autoencoder (CAE) to predict significant adverse events in the ICU, such ...