Deep-IDS: A Real-Time Intrusion Detector for IoT Nodes Using Deep Learning S Racherla, P Sripathi, N Faruqui, MA Kabir, M Whaiduzzaman, SA Shah IEEE Access, 2024 | | 2024 |
The effects of class rebalancing techniques on ensemble classifiers on credit card fraud detection: An empirical study MM Kaushik, SM Mahmud, MA Kabir, D Nandi AIP Conference Proceedings 2916 (1), 2023 | 1 | 2023 |
Deep learning for video classification: A review A Rehman, SB Belhaouari Authorea Preprints, 2023 | 17 | 2023 |
Cross-Version Software Defect Prediction Considering Concept Drift and Chronological Splitting MA Kabir, AU Rehman, MMM Islam, N Ali, ML Baptista Symmetry 15 (10), 1934, 2023 | | 2023 |
Trackez: an iot-based 3d-object tracking from 2d pixel matrix using mez and fsl algorithm N Faruqui, MA Kabir, MA Yousuf, M Whaiduzzaman, A Barros, I Mahmud IEEE Access 11, 61453-61467, 2023 | 9 | 2023 |
Salp Swarm Algorithm for Drift Compensation in E-nose A ur Rehman, MA Kabir, M Ijaz, HM Al-Mohsin, A Bermak 2023 15th International Conference on Advanced Computational Intelligence …, 2023 | | 2023 |
Review of artifact detection methods for automated analysis and diagnosis in digital pathology H Shakhawat, S Hossain, A Kabir, SMH Mahmud, MMM Islam, F Tariq Artificial Intelligence For Disease Diagnosis And Prognosis In Smart …, 2023 | 12 | 2023 |
On the use of deep learning for video classification A Ur Rehman, SB Belhaouari, MA Kabir, A Khan Applied Sciences 13 (3), 2007, 2023 | 15 | 2023 |
Factors Impacting Short-Term Load Forecasting of Charging Station to Electric Vehicle MF Elahe, MA Kabir, SMH Mahmud, R Azim Electronics 12 (1), 55, 2022 | 1 | 2022 |
CODE: A Moving-Window-Based Framework for Detecting Concept Drift in Software Defect Prediction MA Kabir, S Begum, MU Ahmed, AU Rehman Symmetry 14 (12), 2508, 2022 | 2 | 2022 |
Software risk prediction: systematic literature review on machine learning techniques MH Mahmud, MTH Nayan, DMNA Ashir, MA Kabir Applied Sciences 12 (22), 11694, 2022 | 7 | 2022 |
Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization MA Kabir, MMM Islam, SMH Mahmud, MF Elahe Proceedings of the 2nd International Conference on Computing Advancements, 59-66, 2022 | 1 | 2022 |
Inter-release defect prediction with feature selection using temporal chunk-based learning: An empirical study MA Kabir, J Keung, B Turhan, KE Bennin Applied Soft Computing 113, 107870, 2021 | 10 | 2021 |
AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features Z Yang, J Keung, MA Kabir, X Yu, Y Tang, M Zhang, S Feng Applied Soft Computing 111, 107649, 2021 | 13 | 2021 |
Evaluating the effects of similar-class combination on class integration test order generation M Zhang, JW Keung, Y Xiao, MA Kabir Information and Software Technology 129, 106438, 2021 | 5 | 2021 |
COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction S Feng, J Keung, X Yu, Y Xiao, KE Bennin, MA Kabir, M Zhang Information and Software Technology 129, 106432, 2021 | 92 | 2021 |
A drift propensity detection technique to improve the performance for cross-version software defect prediction MA Kabir, JW Keung, KE Bennin, M Zhang 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 8 | 2020 |
Training Data Selection Using Ensemble Dataset Approach for Software Defect Prediction MF Sohan, MA Kabir, M Rahman, SM Hasan Mahmud, T Bhuiyan Cyber Security and Computer Science: Second EAI International Conference …, 2020 | 1 | 2020 |
Prevalence of machine learning techniques in software defect prediction MF Sohan, MA Kabir, M Rahman, T Bhuiyan, MI Jabiullah, EA Felix Cyber Security and Computer Science: Second EAI International Conference …, 2020 | 5 | 2020 |
A heuristic approach to break cycles for the class integration test order generation M Zhang, J Keung, Y Xiao, MA Kabir, S Feng 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019 | 5 | 2019 |