| Cusboost: Cluster-based under-sampling with boosting for imbalanced classification F Rayhan, S Ahmed, A Mahbub, R Jani, S Shatabda, DM Farid 2017 2nd international conference on computational systems and information …, 2017 | 110 | 2017 |
| Hybrid methods for class imbalance learning employing bagging with sampling techniques S Ahmed, A Mahbub, F Rayhan, R Jani, S Shatabda, DM Farid 2017 2nd International Conference on Computational Systems and Information …, 2017 | 48 | 2017 |
| MEBoost: mixing estimators with boosting for imbalanced data classification F Rayhan, S Ahmed, A Mahbub, MR Jani, S Shatabda, DM Farid, ... 2017 11th international conference on software, knowledge, information …, 2017 | 30 | 2017 |
| LIUBoost: locality informed under-boosting for imbalanced data classification S Ahmed, F Rayhan, A Mahbub, M Rafsan Jani, S Shatabda, DM Farid Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019 | 27 | 2019 |
| EarthquakeAssist: Leveraging Mobile Technology to Aid Earthquake Victims and Rescue Teams A Mahbub, A Ghosh, HH Sonet, MM Islam | | |
Dewan Md. FaridProfessor of Computer Science, United International UniversityDirección de correo verificada de cse.uiu.ac.bd
