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

Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach

(2019) You Zhu et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Data analytic approach for bankruptcy prediction

(2019) H. Son et al.   EXPERT SYSTEMS WITH APPLICATIONS

Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting

(2019) Jie Sun et al.   Information Fusion

Systematic review of bankruptcy prediction models: Towards a framework for tool selection

(2018) Hafiz A. Alaka et al.   EXPERT SYSTEMS WITH APPLICATIONS

Machine learning models and bankruptcy prediction

(2017) Flavio Barboza et al.   EXPERT SYSTEMS WITH APPLICATIONS

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

(2017) Yufei Xia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction

(2016) Maciej Zięba et al.   EXPERT SYSTEMS WITH APPLICATIONS

The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches

(2015) Ligang Zhou et al.   KNOWLEDGE-BASED SYSTEMS

The effect of feature selection on financial distress prediction

(2015) Deron Liang et al.   KNOWLEDGE-BASED SYSTEMS

Permutation importance: a corrected feature importance measure

(2010) André Altmann et al.   BIOINFORMATICS

Measuring classifier performance: a coherent alternative to the area under the ROC curve

(2009) David J. Hand   MACHINE LEARNING

An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring

(2008) Loris Nanni et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting financial condition of Chinese listed companies based on support vector machine

(2007) Y DING et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data mining method for listed companies’ financial distress prediction

(2006) Jie Sun et al.   KNOWLEDGE-BASED SYSTEMS