An Empirical Study of Deep Learning Frameworks for Melanoma Cancer Detection using Transfer Learning and Data Augmentation. - Divya Gangwani; Qianxin Liang; Shuwen Wang; Xingquan Zhu 001 (ICBK, 2021)

A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches. - Huanjing Wang; Qianxin Liang; John T. Hancock; Taghi M. Khoshgoftaar (CogMI, 2023)

Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique. - Huanjing Wang; Qianxin Liang; John T. Hancock; Taghi M. Khoshgoftaar (IRI, 2023)

Enhancing Medicare Fraud Detection: Random Undersampling Followed by SHAP-Driven Feature Selection with Big Data. - Qianxin Liang; Richard A. Bauder; Taghi M. Khoshgoftaar (ICTAI, 2024)

Data reduction techniques for highly imbalanced medicare Big Data. - John T. Hancock; Huanjing Wang; Taghi M. Khoshgoftaar; Qianxin Liang (J. Big Data, 2024)

Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods. - Huanjing Wang; Qianxin Liang; John T. Hancock; Taghi M. Khoshgoftaar (J. Big Data, 2024)

A problem-agnostic approach to feature selection and analysis using SHAP. - John T. Hancock; Taghi M. Khoshgoftaar; Qianxin Liang (J. Big Data, 2025)