40 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles
Shengcai Liu, Hui Ou-yang, Zhiyuan Wang +4
Learning the structure of Bayesian networks (BNs) from data is challenging, especially for datasets involving a large number of variables. The recently proposed divide-and-conquer…
cs.LG2023★ 40 cited
Selection of contributing factors for predicting landslide susceptibility using machine learning and deep learning models
Cheng Chen, Lei Fan
Landslides are a common natural disaster that can cause casualties, property safety threats and economic losses. Therefore, it is important to understand or predict the probability…
cs.CV2023
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition
Cheng Chen, Yifan Zhao, Jia Li
Learning multi-label image recognition with incomplete annotation is gaining popularity due to its superior performance and significant labor savings when compared to training with…