Funder
science and engineering research board
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Reference52 articles.
1. Airola, A., Pyysalo, S., Björne, J., Pahikkala, T., Ginter, F., & Salakoski, T. (2008). All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning. BMC Bioinformatics, 9(11), S2.
2. Airola, A., Pyysalo, S., Björne, J., Pahikkala, T., Ginter, F., Salakoski, T (2008). A graph kernel for protein-protein interaction extraction. In: Proceedings of the workshop on current trends in biomedical natural language processing, pp. 1–9. Association for Computational Linguistics.
3. Alizadehsani, R., Roshanzamir, M., Hussain, S., Khosravi, A., Koohestani, A., Zangooei, M.H., Abdar, M., Beykikhoshk, A., Shoeibi, A., Zare, A., et al. (2021). Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991–2020). Annals of Operations Research pp. 1–42.
4. Asada, M., Miwa, M., Sasaki, Y. (2018). Enhancing drug-drug interaction extraction from texts by molecular structure information. arXiv preprint arXiv:1805.05593.
5. Bahdanau, D., Cho, K., Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.
Cited by
1 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