Jul 20, 2023 · This study investigates the behavior and impact of the latent space within an autoencoder, with a focus on developing an optimal decision tree-based ...
This study investigates the behavior and impact of the latent space within an autoencoder, with a focus on developing an optimal decision tree-based ...
Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization. Book Series: Lecture Notes in Networks and Systems. ISSN: 2367-3389, 2367-3370.
Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization. https://doi.org/10.1007/978-3-031-38616-9_4. Journal: Distributed Computing and ...
Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization ; ISSN · 2367-3389, ; ISBN · 9783031386152 ; Year of publication · 2023 ; Volume · 742 LNNS ; Pages ...
Sep 7, 2024 · Specifically, the study explores the efficacy of an autoencoder's latent space combined with three different classification techniques.
Missing: Categorization. | Show results with:Categorization.
This work addresses the behaviour and impact of latent space of an auto-encoder for creating a classification model based on decision trees, in order to ...
Missing: Categorization. | Show results with:Categorization.
Nov 4, 2020 · This work addresses the behaviour and impact of latent space of an auto-encoder for creating a classification model based on decision trees ...
Missing: Categorization. | Show results with:Categorization.
Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization. García-Ordás, M.T. · Aveleira-Mata, J. García-Rodiguez, I. Díaz-Longueira, A.J.; Calvo ...
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Influence of autoencoder latent space on classifying IoT CoAP attacks. with ... autoencoder's latent space combined with three different classification techniques ...