Kamal Bashir
According to our database1,
Kamal Bashir
authored at least 9 papers
between 2017 and 2020.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2020
SMOTEFRIS-INFFC: Handling the challenge of borderline and noisy examples in imbalanced learning for software defect prediction.
J. Intell. Fuzzy Syst., 2020
A novel feature selection method based on maximum likelihood logistic regression for imbalanced learning in software defect prediction.
Int. Arab J. Inf. Technol., 2020
2019
A Novel Hybrid Approach Based on Rough Set for Classification: An Empirical Comparative Study.
J. Multiple Valued Log. Soft Comput., 2019
A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE.
Int. J. Comput. Intell. Syst., 2019
Enhancing Crash Injury Severity Prediction on Imbalanced Crash Data by Sampling Technique with Variable Selection.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Hybrid Data Preprocessing Technique based on Maximum Likelihood Logistic Regression with Filtering for Enhancing Software Defect Prediction.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
2018
A Three-Stage Based Ensemble Learning for Improved Software Fault Prediction: An Empirical Comparative Study.
Int. J. Comput. Intell. Syst., 2018
An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework.
Int. J. Comput. Intell. Syst., 2018
2017
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017