1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SI2023
Balancing Augmentation with Edge-Utility Filter for Signed GNNs
Ke-Jia Chen, Yaming Ji, Youran Qu +1
Signed graph neural networks (SGNNs) has recently drawn more attention as many real-world networks are signed networks containing two types of edges: positive and negative. The exi…
cs.LG2022
iMedBot: A Web-based Intelligent Agent for Healthcare Related Prediction and Deep Learning
Chuhan Xu, Xia Jiang
Background: Breast cancer is a multifactorial disease, genetic and environmental factors will affect its incidence probability. Breast cancer metastasis is one of the main cause of…
cs.LG2022★ 1 cited
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis
Chuhan Xu, Pablo Coen-Pirani, Xia Jiang
Overfitting is defined as the fact that the current model fits a specific data set perfectly, resulting in weakened generalization, and ultimately may affect the accuracy in predic…