GitHub

pytorch_tutorial_autoencoder.ipynb

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Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
GitHub

Releases: archibanerj/autoencoder-tutorial

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PNAS

ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design

The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...
IEEE

G-Mean for Optimum Threshold in Anomaly Detection with Autoencoder: Cyber Security on The RT-IOT2022 Dataset

Abstract: Autoencoder is one of the most prominent methods in detecting attacks in RT-IoT2022 because the unsupervised learning method can capture abnormal patterns in the dataset. However, finding ...
IEEE

Learning Causal Representations Based on a GAE Embedded Autoencoder

Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...