Adaptive Loss Function Design Algorithm for Input Data Distribution in Autoencoder-Reference-Cited by-同舟云学术

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Adaptive Loss Function Design Algorithm for Input Data Distribution in Autoencoder

Published:2022-10-19 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
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Author:

Rheey Joohong¹,Choi Dayoung¹,Park Hyunggon¹

Affiliation:

1. Smart Factory Multidisciplinary Program

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP)

National Research Foundation of Korea (NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9952188/9952355/09952422.pdf?arnumber=9952422

Reference10 articles.

1. Deep Learning for Radio Resource Allocation in Multi-Cell Networks

2. Autoencoder-based feature learning for cyber security applications

3. Relational autoencoder for feature extraction

4. An ensemble of activation functions in au-toencoder applied to iot anomaly detection;vu;NAFOSTED Conference on Information and Computer Science (NICS),2019

5. Unsupervised learning approach for network intrusion detection system using autoencoders

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

1. Low-complexity Anomaly Detection Method based on Feature Importance using Shapley Value;2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN);2023-07-04

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