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Gopi Krishnan Rajbahadur
Gopi Krishnan Rajbahadur
Senior Researcher, Centre for Software Excellence, Huawei
在 huawei.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
752018
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
742021
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
742017
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
342020
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
262022
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
262019
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
232023
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
212021
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
182021
Revisiting reopened bugs in open source software systems
A Tagra, H Zhang, GK Rajbahadur, AE Hassan
Empirical Software Engineering 27 (4), 92, 2022
122022
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
92019
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
72023
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
62023
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
42021
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
32024
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
32021
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
H Li, GK Rajbahadur, D Lin, CP Bezemer, ZM Jiang
IEEE Access, 2024
22024
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
H Li, GK Rajbahadur, CP Bezemer
arXiv preprint arXiv:2407.05466, 2024
2024
Systems, methods, and non-transitory computer-readable storage devices for detecting and analyzing data clones in tabular datasets
X Yang, GK Rajbahadur, D Lin
US Patent App. 18/386,023, 2024
2024
Systems, methods, and non-transitory computer-readable storage devices for training deep learning and neural network models using overfitting detection and prevention
H Li, GK Rajbahadur, D Lin, Z Jiang
US Patent App. 18/384,634, 2024
2024
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