Gopi Krishnan Rajbahadur
Orcid: 0000-0003-1812-5365
According to our database1,
Gopi Krishnan Rajbahadur
authored at least 24 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality.
CoRR, 2024
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
CoRR, 2024
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting.
IEEE Access, 2024
Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024
2023
Is My Transaction Done Yet? An Empirical Study of Transaction Processing Times in the Ethereum Blockchain Platform.
ACM Trans. Softw. Eng. Methodol., May, 2023
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study.
Empir. Softw. Eng., March, 2023
Proceedings of the IEEE International Conference on Software Analysis, 2023
2022
The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers.
IEEE Trans. Software Eng., 2022
IEEE Trans. Software Eng., 2022
ACM Trans. Softw. Eng. Methodol., 2022
The impact of feature importance methods on the interpretation of defect classifiers.
CoRR, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
2021
Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering.
IEEE Trans. Software Eng., 2021
Can I use this publicly available dataset to build commercial AI software? Most likely not.
CoRR, 2021
2020
Understanding the Impact of Experimental Design Choices on Machine Learning Classifiers in Software Analytics
PhD thesis, 2020
Empir. Softw. Eng., 2020
2019
Proceedings of the 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2019
2018
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
2017
Proceedings of the 14th International Conference on Mining Software Repositories, 2017