Research on prediction of multi-class theft crimes by an optimized decomposition and fusion method based on XGBoost

A novel XGBoost extension for credit scoring class-imbalanced data combining a generalized extreme value link and a modified focal loss function

(2022) Jonah Mushava et al.   EXPERT SYSTEMS WITH APPLICATIONS

Spatio-temporal analysis of urban crime leveraging multisource crowdsensed data

(2021) Binbin Zhou et al.   Personal and Ubiquitous Computing

Artificial Neural Network Model Development to Predict Theft Types in Consideration of Environmental Factors

(2021) Eunseo Kwon et al.   ISPRS International Journal of Geo-Information

Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods

(2021) Jie Sun et al.   INFORMATION SCIENCES

Improving Risk Identification of Adverse Outcomes in Chronic Heart Failure Using SMOTE+ENN and Machine Learning

(2021) Ke Wang et al.   Risk Management and Healthcare Policy

Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers

(2021) Yuri Zelenkov et al.   EXPERT SYSTEMS WITH APPLICATIONS

Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree

(2021) Hongyi Qian et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fraud Detection of Bulk Cargo Theft in Port Using Bayesian Network Models

(2020) Rongjia Song et al.   Applied Sciences-Basel