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 ...
Scientific Research Publishing

AI Large Language Model-Driven Pedagogical Reform and Practice for the Python Programming Course: A Case Study in the Electronic Information Engineering Program ()

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...
Frontiers

Functional connectivity in burnout syndrome: a resting-state EEG study

Chronic occupational stress is associated with a pronounced decline in emotional and cognitive functioning. Studies on neural mechanisms indicate significant changes in brain activity and changed ...
archive

Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programming language

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...
Frontiers

Manifold alteration between major depressive disorder and healthy control subjects using dynamic mode decomposition in resting-state fMRI data

The World Health Organization has reported that approximately 300 million individuals suffer from the mood disorder known as MDD. Non-invasive measurement techniques have been utilized to reveal the ...
GitHub

Material Palette: Extraction of Materials from a Single Image (CVPR 2024)

This is the official repository of Material Palette. In a nutshell, the method works in three stages: first, concepts are extracted from an input image based on a user-provided mask; then, those ...