Handling imbalanced data sets with synthetic boundary data generation using bootstrap re-sampling and AdaBoost techniques. - Putthiporn Thanathamathee; Chidchanok Lursinsap (Pattern Recognit. Lett., 2013)

Boosting with feature selection technique for screening and predicting adolescents depression. - Putthiporn Thanathamathee (DICTAP, 2014)

Random Forest with Sampling Techniques for Handling Imbalanced Prediction of University Student Depression. - Siriporn Sawangarreerak; Putthiporn Thanathamathee (Inf., 2020)

Unsupervised Deep Clustering With Hard Balanced Constraint: Application in Disciplinary-Focused Student Section Formation. - Siripinyo Chantamunee; Pornpon Thamrongrat; Putthiporn Thanathamathee; Kannattha Chaisriya; Dinna Nina Mohd Nizam (IEEE Access, 2024)

Enhancing Going Concern Prediction With Anchor Explainable AI and Attention-Weighted XGBoost. - Putthiporn Thanathamathee; Siriporn Sawangarreerak; Dinna Nina Mohd Nizam (IEEE Access, 2024)

Anchor-Based Explainable and Causal Artificial Intelligence for Enhancing Financial Predictions of Future Earnings. - Siriporn Sawangarreerak; Putthiporn Thanathamathee; Pankaewta Lakkanawanit; Nor Shaipah Abdul Wahab (IEEE Access, 2025)