Yu‐Hsin Lu

A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

Learning from class-imbalanced data: Review of methods and applications

An empirical comparison of techniques for the class imbalance problem in churn prediction

A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data

Machine learning-based approach: global trends, research directions, and regulatory standpoints

Data Mining Techniques in Customer Churn Prediction

The impact of multinationality on firm value: A comparative analysis of machine learning techniques

Forecasting client retention — A machine-learning approach

Data mining techniques and applications – A decade review from 2000 to 2011

Determinants of intangible assets value: The data mining approach

Customer churn prediction by hybrid neural networks