Publisher
Springer Nature Switzerland
Reference18 articles.
1. AlDahoul, N., Abdul Karim, H., Ba Wazir, A.S.: Model fusion of deep neural networks for anomaly detection. J. Big Data 8, 1–18 (2021)
2. Buda, M., Maki, A., Mazurowski, M.A.: A systematic study of the class imbalance problem in convolutional neural networks. Neural Netw. 106, 249–259 (2018)
3. Cao, X., Luo, Q., Wu, P.: Filter-GAN: imbalanced malicious traffic classification based on generative adversarial networks with filter. Mathematics 10(19), 3482 (2022)
4. Chapaneri, R., Shah, S.: Enhanced detection of imbalanced malicious network traffic with regularized generative adversarial networks. J. Netw. Comput. Appl. 202, 103368 (2022)
5. Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.: Improved training of wasserstein GANs. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, NIPS 2017, pp. 5769–5779. Curran Associates Inc (2017)
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