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2022 journal article
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction)
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING.
By: H. Tu, Z. Yu & T. Menzies
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning
EMPIRICAL SOFTWARE ENGINEERING.
By: H. Tu & T. Menzies
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach
By: Z. Yu, F. Fahid, H. Tu & T. Menzies
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics
2021 36TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING ASE 2021.
Mining Workflows for Anomalous Data Transfers
2021 IEEE/ACM 18TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2021).
By: H. Tu, G. Papadimitriou, M. Kiran, C. Wang, A. Mandal, E. Deelman, T. Menzies
Is One Hyperparameter Optimizer Enough?
PROCEEDINGS OF THE 4TH ACM SIGSOFT INTERNATIONAL WORKSHOP ON SOFTWARE ANALYTICS (SWAN'18), pp. 19–25.
By: H. Tu & V. Nair
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