20 citations · 34 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data
Xu Sun, Zixuan Qin, Shun Zhang +2
In the financial risk domain, particularly in credit default prediction and fraud detection, accurate identification of high-risk class instances is paramount, as their occurrence…
cs.LG2019★ 20 cited
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records
Li Huang, Dianbo Liu
Electronic medical records (EMRs) supports the development of machine learning algorithms for predicting disease incidence, patient response to treatment, and other healthcare even…
cs.LG2018★ 14 cited
LoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
Li Huang, Yifeng Yin, Zeng Fu +3
Intensive care data are valuable for improvement of health care, policy making and many other purposes. Vast amount of such data are stored in different locations, on many differen…