Sequential Model Optimization for Software Effort Estimation T Xia, R Shu, X Shen, T Menzies IEEE Transactions on Software Engineering, 2020 | 90* | 2020 |
How to better distinguish security bug reports (using dual hyperparameter optimization) R Shu, T Xia, J Chen, L Williams, T Menzies Empirical Software Engineering 26 (3), 1-37, 2021 | 71* | 2021 |
Software engineering for fairness: A case study with hyperparameter optimization J Chakraborty, T Xia, FM Fahid, T Menzies IEEE/ACM International Conference on Automated Software Engineering LBR Workshop, 2019 | 45 | 2019 |
Predicting health indicators for open source projects (using hyperparameter optimization) T Xia, W Fu, R Shu, R Agrawal, T Menzies Empirical Software Engineering 27 (6), 122, 2022 | 22* | 2022 |
Omni: Automated ensemble with unexpected models against adversarial evasion attack R Shu, T Xia, L Williams, T Menzies Empirical Software Engineering 27, 1-32, 2022 | 20 | 2022 |
Dazzle: Using optimized generative adversarial networks to address security data class imbalance issue R Shu, T Xia, L Williams, T Menzies Proceedings of the 19th International Conference on Mining Software …, 2022 | 9 | 2022 |
Hyperparameter Optimization for Effort Estimation. CoRR abs/1805.00336 (2018) T Xia, R Krishna, J Chen, G Mathew, X Shen, T Menzies arXiv preprint arXiv:1805.00336, 2018 | 5 | 2018 |
Methods for stabilizing models across large samples of projects (with case studies on predicting defect and project health) S Majumder, T Xia, R Krishna, T Menzies Proceedings of the 19th International Conference on Mining Software …, 2022 | 4 | 2022 |
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning) R Shu, T Xia, H Tu, L Williams, T Menzies arXiv preprint arXiv:2205.00665, 2022 | 3 | 2022 |
Assessing the Health Status of Open-Source Software Projects T Xia North Carolina State University, 2022 | | 2022 |