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CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling., , , and . CoRR, (2019)A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks., , , , , , and . Appl. Intell., 51 (10): 7306-7321 (2021)Exploring the Impact of Balanced and Imbalanced Learning in Source Code Suggestion., , , and . Int. J. Softw. Eng. Knowl. Eng., 32 (10): 1499-1526 (2022)Optimized Tokenization Process for Open-Vocabulary Code Completion: An Empirical Study., , , , , and . EASE, page 398-405. ACM, (2023)Deep Learning-Based Resolution Prediction of Software Enhancement Reports., , , and . CCWC, page 492-499. IEEE, (2021)Towards continues code recommendation and implementation system: An Initial Framework., , , , , and . EASE, page 439-444. ACM, (2020)TRFIoT: Trust and Reputation Model for Fog-based IoT., and . ICCCS (6), volume 11068 of Lecture Notes in Computer Science, page 187-198. Springer, (2018)Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks., , , , , , and . Inf. Fusion, (January 2024)DFF-SC4N: A Deep Federated Defence Framework for Protecting Supply Chain 4.0 Networks., , , , and . IEEE Trans. Ind. Informatics, 19 (3): 3300-3309 (March 2023)Enhancing Code Completion with Implicit Feedback., , and . QRS, page 218-227. IEEE, (2023)