Nonlinear Regression: Estimating Hand-to-Camera Distance This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the ...

Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and ...

Therefore, a black-box graph injection attack, Bayesian Ridge Regression Injection Attack (BRRIA), is proposed to study the impact of the internal relations on a system and to investigate the ...