No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure

Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis

(2021) John W. Goodell et al.   Journal of Behavioral and Experimental Finance

Dynamics of firm financial evolution and bankruptcy prediction

(2017) Philippe du Jardin   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

Predicting the listing statuses of Chinese-listed companies using decision trees combined with an improved filter feature selection method

(2017) Ligang Zhou et al.   KNOWLEDGE-BASED SYSTEMS

A two-stage classification technique for bankruptcy prediction

(2016) Philippe du Jardin   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction

(2016) Hyun-Jung Kim 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

Gradient boosting machines, a tutorial

(2013) Alexey Natekin et al.   Frontiers in Neurorobotics

A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis

(2012) Sangjae Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of bankruptcy using support vector machines: an application to bank bankruptcy

(2012) Birsen Eygi Erdogan   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Simple instance selection for bankruptcy prediction

(2011) Chih-Fong Tsai et al.   KNOWLEDGE-BASED SYSTEMS

Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks

(2008) Esteban Alfaro et al.   DECISION SUPPORT SYSTEMS

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY