Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling

no code implementations • 3 Feb 2023 • Fanglan Zheng, Menghan Wang, Kun Li, Jiang Tian, Xiaojia Xiang

In this manuscript (ms), we propose causal inference based single-branch ensemble trees for uplift modeling, namely CIET.

Causal Inference

A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring

no code implementations • 14 Sep 2020 • Fanglan Zheng, Erihe, Kun Li, Jiang Tian, Xiaojia Xiang

With the success of big data and artificial intelligence in many fields, the applications of big data driven models are expected in financial risk management especially credit scoring and rating.

Management Vertical Federated Learning

A Federated F-score Based Ensemble Model for Automatic Rule Extraction

no code implementations • 7 Jul 2020 • Kun Li, Fanglan Zheng, Jiang Tian, Xiaojia Xiang

In this manuscript, we propose a federated F-score based ensemble tree model for automatic rule extraction, namely Fed-FEARE.

Federated Learning Marketing

Sequential Behavioral Data Processing Using Deep Learning and the Markov Transition Field in Online Fraud Detection

no code implementations • 16 Aug 2018 • Ruinan Zhang, Fanglan Zheng, Wei Min

Due to the popularity of the Internet and smart mobile devices, more and more financial transactions and activities have been digitalized.

Dynamic Time Warping Fraud Detection