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20192023
most citedCorrelated Differential Privacy: Feature Selection in Machine Learning

99 citations · 136 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.LG2023

Predicting Financial Literacy via Semi-supervised Learning

David Hason Rudd, Huan Huo, Guandong Xu

Financial literacy (FL) represents a person's ability to turn assets into income, and understanding digital currencies has been added to the modern definition. FL can be predicted…

cs.LG2023★ 12 cited

Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions

David Hason Rudd, Huan Huo, Guandong Xu

Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that…

cs.LG2023★ 8 cited

Causal Analysis of Customer Churn Using Deep Learning

David Hason Rudd, Huan Huo, Guandong Xu

Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Two main business marketing strategies play vital roles…

cs.LG2020★ 99 cited

Correlated Differential Privacy: Feature Selection in Machine Learning

Tao Zhang, Tianqing Zhu, Ping Xiong +3

Privacy preserving in machine learning is a crucial issue in industry informatics since data used for training in industries usually contain sensitive information. Existing differe…

cs.LG2019★ 7 cited

DAGCN: Dual Attention Graph Convolutional Networks

Fengwen Chen, Shirui Pan, Jing Jiang +2

Graph convolutional networks (GCNs) have recently become one of the most powerful tools for graph analytics tasks in numerous applications, ranging from social networks and natural…