A survey of anomaly detection for connected vehicle cybersecurity and safety GK Rajbahadur, AJ Malton, A Walenstein, AE Hassan 2018 IEEE Intelligent Vehicles Symposium (IV), 421-426, 2018 | 69 | 2018 |
The impact of using regression models to build defect classifiers GK Rajbahadur, S Wang, Y Kamei, AE Hassan 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 64 | 2017 |
The impact of feature importance methods on the interpretation of defect classifiers GK Rajbahadur, S Wang, GA Oliva, Y Kamei, AE Hassan IEEE Transactions on Software Engineering 48 (7), 2245-2261, 2021 | 58 | 2021 |
An empirical study of the characteristics of popular minecraft mods D Lee, GK Rajbahadur, D Lin, M Sayagh, CP Bezemer, AE Hassan Empirical Software Engineering 25, 3396-3429, 2020 | 31 | 2020 |
Towards training reproducible deep learning models B Chen, M Wen, Y Shi, D Lin, GK Rajbahadur, ZM Jiang Proceedings of the 44th International Conference on Software Engineering …, 2022 | 25 | 2022 |
Impact of discretization noise of the dependent variable on machine learning classifiers in software engineering GK Rajbahadur, S Wang, Y Kamei, AE Hassan IEEE Transactions on Software Engineering 47 (7), 1414-1430, 2019 | 24 | 2019 |
Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction L Gong, GK Rajbahadur, AE Hassan, S Jiang IEEE Transactions on Software Engineering, 2021 | 18 | 2021 |
Towards a consistent interpretation of aiops models Y Lyu, GK Rajbahadur, D Lin, B Chen, ZM Jiang ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (1), 1-38, 2021 | 18 | 2021 |
Is my transaction done yet? an empirical study of transaction processing times in the ethereum blockchain platform M Pacheco, G Oliva, GK Rajbahadur, A Hassan ACM Transactions on Software Engineering and Methodology 32 (3), 1-46, 2023 | 16 | 2023 |
The impact of using regression models to build defect classifiers. In 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR) GK Rajbahadur, S Wang, Y Kamei, AE Hassan IEEE, 135ś145, 2017 | 13 | 2017 |
Revisiting reopened bugs in open source software systems A Tagra, H Zhang, GK Rajbahadur, AE Hassan Empirical Software Engineering 27 (4), 92, 2022 | 9 | 2022 |
Pitfalls analyzer: quality control for model-driven data science pipelines GK Rajbahadur, GA Oliva, AE Hassan, J Dingel 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering …, 2019 | 9 | 2019 |
Towards privacy preserving cross project defect prediction with federated learning H Yamamoto, D Wang, GK Rajbahadur, M Kondo, Y Kamei, N Ubayashi 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 5 | 2023 |
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study M Pacheco, GA Oliva, GK Rajbahadur, AE Hassan Empirical Software Engineering 28 (2), 39, 2023 | 5 | 2023 |
Can I use this publicly available dataset to build commercial AI software?--A Case Study on Publicly Available Image Datasets GK Rajbahadur, E Tuck, L Zi, D Lin, B Chen, Z Ming, DM German arXiv preprint arXiv:2111.02374, 2021 | 2 | 2021 |
Can I use this publicly available dataset to build commercial AI software? most likely not GK Rajbahadur, E Tuck, L Zi, Z Wei, D Lin, B Chen, ZM Jiang, ... CoRR, abs/2111.02374, 1-1, 2021 | 2 | 2021 |
Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware AE Hassan, D Lin, GK Rajbahadur, K Gallaba, FR Cogo, B Chen, ... arXiv preprint arXiv:2402.15943, 2024 | | 2024 |
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting H Li, GK Rajbahadur, D Lin, CP Bezemer, Z Ming arXiv preprint arXiv:2401.10359, 2024 | | 2024 |
Using the Training History to Detect and Prevent Overfitting in Deep Learning Models H Li, GK Rajbahadur, D Lin, CP Bezemer, Z Jiang | | 2022 |
Understanding the Impact of Experimental Design Choices on Machine Learning Classifiers in Software Analytics GK Rajbahadur Queen's University (Canada), 2020 | | 2020 |