Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Alhefdhi, A.; Dam, H.K..; Hata, H.; Ghose, A.: Generating pseudo-code from source code using deep learning. In: 2018 25th Australasian Software Engineering Conference (ASWEC), pp. 21–25. IEEE (2018). https://doi.org/10.1109/ASWEC.2018.00011
2. Allamanis, M.; Peng, H.; Sutton, C.: A convolutional attention network for extreme summarization of source code. In: International Conference on Machine Learning, pp. 2091–2100 (2016)
3. Alon, U.; Brody, S.; Levy, O.; Yahav, E.: code2seq: Generating sequences from structured representations of code. arXiv preprint arXiv:1808.01400 (2018)
4. An, J.; Cheng, J.; Gui, X.; Zhang, W.; Liang, D.; Gui, R.; Jiang, L.; Liao, D.: A lightweight blockchain-based model for data quality assessment in crowdsensing. IEEE Trans. Comput. Soc. Syst. 7(1), 84–97 (2020). https://doi.org/10.1109/TCSS.2019.2956481
5. Baba, Y.; Kashima, H.: Statistical quality estimation for general crowdsourcing tasks. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 554–562. ACM (2013). https://doi.org/10.1145/2487575.2487600
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献