Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis

Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis

This article explores the practical implementation of autoencoders for anomaly detection, emphasizing their latent space manipulation and applicability across various domains. This study highlights the impact of optimizing parameter configurations, lightweight architectures, and training methodologi...

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Bibliographic Details
Main Authors:	Tomasz Walczyna, Damian Jankowski, Zbigniew Piotrowski
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Applied Sciences
Subjects:	anomalies detection of anomalies neural networks deep learning machine learning autoencoders
Online Access:	https://www.mdpi.com/2076-3417/15/1/286
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