A Deep Learning Based Method for Handling Imbalanced Problem in Network Traffic Classification-Reference-Cited by-同舟云学术

A Deep Learning Based Method for Handling Imbalanced Problem in Network Traffic Classification

Published:2017-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Eighth International Symposium on Information and Communication Technology
language:
Short-container-title:

Author:

Vu Ly¹,Bui Cong Thanh²,Nguyen Quang Uy¹

Affiliation:

1. Le Quy Don Technical University, Hanoi, Vietnam

2. Posts and Telecommunications, Institute of Technology, Hanoi, Vietnam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3155133.3155175

Reference21 articles.

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2. 2014. Scikit-learn tutorial. (2014). Retrieved September 14 2017 from http://scikit-learn.org/stable/ 2014. Scikit-learn tutorial. (2014). Retrieved September 14 2017 from http://scikit-learn.org/stable/

3. Alec Radford Luke Metz and Soumith Chintala. 2016. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. In Computer Vision and Pattern Regconition (CVPR). CoRR. https://arxiv.org/abs/1506.05751 Alec Radford Luke Metz and Soumith Chintala. 2016. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. In Computer Vision and Pattern Regconition (CVPR). CoRR. https://arxiv.org/abs/1506.05751

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