Enhancing software defect prediction using supervised-learning based framework. - Kamal Bashir; Tianrui Li 001; Chubato Wondaferaw Yohannese; Mahama Yahaya (ISKE, 2017)

Recital of supervised learning on review spam detection: An empirical analysis. - Faisal Khurshid 001; Yan Zhu 007; Chubato Wondaferaw Yohannese; Muhammad Iqbal (ISKE, 2017)

Ensembles based combined learning for improved software fault prediction: A comparative study. - Chubato Wondaferaw Yohannese; Tianrui Li 001; Macmillan Simfukwe; Faisal Khurshid 001 (ISKE, 2017)

A Combined-Learning Based Framework for Improved Software Fault Prediction. - Chubato Wondaferaw Yohannese; Tianrui Li 001 (Int. J. Comput. Intell. Syst., 2017)

An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework. - Kamal Bashir; Tianrui Li 001; Chubato Wondaferaw Yohannese (Int. J. Comput. Intell. Syst., 2018)

A Three-Stage Based Ensemble Learning for Improved Software Fault Prediction: An Empirical Comparative Study. - Chubato Wondaferaw Yohannese; Tianrui Li 001; Kamal Bashir (Int. J. Comput. Intell. Syst., 2018)

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE. - Ahmed Saad Hussein; Tianrui Li 001; Chubato Wondaferaw Yohannese; Kamal Bashir (Int. J. Comput. Intell. Syst., 2019)

A Novel Hybrid Approach Based on Rough Set for Classification: An Empirical Comparative Study. - Ahmed Saad Hussein; Tianrui Li 001; Chubato Wondaferaw Yohannese; Kamal Bashir (J. Multiple Valued Log. Soft Comput., 2019)

SMOTEFRIS-INFFC: Handling the challenge of borderline and noisy examples in imbalanced learning for software defect prediction. - Kamal Bashir; Tianrui Li 001; Chubato Wondaferaw Yohannese; Mahama Yahaya (J. Intell. Fuzzy Syst., 2020)