基于自编码器的高斯去噪对抗网络

IF 2.3 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Expert Systems Pub Date : 2024-12-09 DOI:10.1111/exsy.13809

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引用次数: 0

摘要

引用本文：A. Samanta， A. Saha， S. C. Satapathy， H. Lin，“基于自编码器的高斯去噪对抗网络”，专家系统（早期视图）：e12709, https://doi.org/10.1111/exsy.12709。上述文章于2021年5月6日在线发表在Wiley在线图书馆（wileyonlinelibrary.com）上，经期刊主编David Camacho；约翰·威利&；子有限公司这篇文章是作为嘉宾编辑的特刊的一部分提交的。由于这篇文章没有按照该杂志的同行评议标准进行评审，因此已经同意撤回。此外，本文中的方法和模型描述不够充分。因此，这些结果被认为是不可靠的。作者不同意撤稿。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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RETRACTION: DAE-GAN: An Autoencoder Based Adversarial Network for Gaussian Denoising

RETRACTION: A. Samanta, A. Saha, S. C. Satapathy, H. Lin, “ DAE-GAN: An Autoencoder Based Adversarial Network for Gaussian Denoising,” Expert Systems (Early View): e12709, https://doi.org/10.1111/exsy.12709.

The above article, published online on 06 May 2021 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. The retraction has been agreed on as the article was not reviewed in line with the journal's peer review standards. Furthermore, the methodology and model in this manuscript are insufficiently described. Accordingly, the results are not considered reliable. The authors disagree with the retraction.

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来源期刊

Expert Systems 工程技术-计算机：理论方法

CiteScore

7.40

自引率

6.10%

发文量

266

审稿时长

24 months

期刊介绍： Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.