I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Forests protect against avalanches, but not every forest is equally effective. Thanks to almost 50 years of observations at the Stillberg afforestation site, SLF researchers have now gained insight ...

Image data visualization plays a crucial role in computer algorithm analysis and research. It can intuitively display the running process, performance, and result characteristics of algorithms, ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning ...

Using these spatial units, 11 machine learning algorithms were trained to couple HMCW with phenotype and competition parameters, with features including tree height, directional crown width, and ...

Data Structures and Algorithms Repository Overview Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees ...

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China ...