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)

EBSMOTE: Evaluation-Based Synthetic Minority Oversampling TEchnique for Imbalanced Dataset Learning. - Ahmed Saad Hussein; Bassoma Diallo; Jia Liu (ISKE, 2019)

A New Approach to Predict the Location of Petroleum Reservoirs Using FFNN. - Noora Sabah Jaber; Ahmed Saad Hussein; Hussein Saeed Almalikee (ISKE, 2019)

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)

Multi-view document clustering based on geometrical similarity measurement. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Ahmed Saad Hussein (Int. J. Mach. Learn. Cybern., 2022)