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

A Hybrid Data Preprocessing Technique based on Maximum Likelihood Logistic Regression with Filtering for Enhancing Software Defect Prediction. - Kamal Bashir; Tayseer Ali; Mahama Yahaya; Ahmed Saad Hussein (ISKE, 2019)

Enhancing Crash Injury Severity Prediction on Imbalanced Crash Data by Sampling Technique with Variable Selection. - Mahama Yahaya; Xinguo Jiang; Chuanyun Fu; Kamal Bashir; Wenbo Fan (ITSC, 2019)

A novel feature selection method based on maximum likelihood logistic regression for imbalanced learning in software defect prediction. - Kamal Bashir; Tianrui Li 001; Mahama Yahaya (Int. Arab J. Inf. Technol., 2020)

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)