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Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?

, , , , and . SANER, page 167-178. IEEE, (2023)

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Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues., , , , , , and . CoRR, (2023)Flexible Platform for Integration, Collection, and Analysis of Social Media for Open Data Providers in Smart Cities., , and . FDSE, volume 12466 of Lecture Notes in Computer Science, page 304-324. Springer, (2020)FFL: Fine-grained Fault Localization for Student Programs via Syntactic and Semantic Reasoning., , , , , , and . ICSME, page 151-162. IEEE, (2022)VulCurator: a vulnerability-fixing commit detector., , , , and . ESEC/SIGSOFT FSE, page 1726-1730. ACM, (2022)Light-weight federated learning-based anomaly detection for time-series data in industrial control systems., , , , , , , , and . Comput. Ind., (2022)Multi-Granularity Detector for Vulnerability Fixes., , , , , , , , , and 2 other author(s). CoRR, (2023)Inferring Properties of Graph Neural Networks., , , , , and . CoRR, (2024)SAFL: A Self-Attention Scene Text Recognizer with Focal Loss., , , , , and . CoRR, (2022)Usability and Aesthetics: Better Together for Automated Repair of Web Pages., , , and . CoRR, (2022)AutoPruner: transformer-based call graph pruning., , , , , , and . ESEC/SIGSOFT FSE, page 520-532. ACM, (2022)